PRELIMINARY
 WIND ENERGY RESOURCES ASSESSMENT
  FOR ERITREA
August 1996

 
By:        Prof. Karina Garbesi
             Asst. Prof. Environmental Studies
Dept. of Geography and Environ. Studies
San Jose State University
San Jose CA, 95192-0116
USA

             email: k_garbesi@lbl.gov
Karen Kello 
Research Assistant 
Dept. of Geography and Environ. Studies 
San Jose State University 
San Jose CA, 95192-0116 
USA 
email: rosen1@home.com 
 

Robert Van Buskirk, Ph.D.*
Research Scientist
Department of Energy P.O. Box 5285
Asmara, ERITREA
email: robert@punchdown.org
 

*Currently Dr. Van Buskirk is Adjunct Professor of Environmental Studies, Department of Environmental Studies, San Jose State University, San Jose CA, 95192-0116.


TABLE OF CONTENTS
 

1. Executive Summary
2. History & Current Status of Wind Power
2.1.     A Brief History of Wind Power
2.2     Wind Turbine Technology
3. Advantages and Disadvantages of Wind Power
3.1     Resource Availability
3.2     Power Management & Integration
3.2.1         Storage
3.2.2         Back-up Systems and Additional Power Generation
3.3     Environmental Issues
3.3.1         Land Requirement
3.3.2         Visual Impact
3.3.3         Noise
3.3.4         Electromagnetic Interference
3.3.5         Wildlife Disturbance
3.4     Economics
3.5     Production Installation & Maintenance
3.6     Political Issues
4. Eritrea Wind Power Possibilities
4.1     Preliminary Wind Resource Assessment
4.1.1         Objectives
4.1.2         Strategy
4.1.2.1             Identification and Collection of Wind Data
4.1.2.2             Preliminary Wind Power Classification for the Red Sea Coast
4.1.2.3             Baseline Meteorological Analysis of Eritrean Air Motions
4.1.2.4             Ground Search for Promising Sites
4.1.2.5             Follow-up Spot Measurements
4.1.2.6             Correlatoin Analysis of Wind Characteristics
4.1.2.7             Examination of Satellite Images
4.1.3         Results
4.1.3.1             Identification and Collection of Wind Data
4.1.3.2             Preliminary Wind Power Classification for the Red Sea Coast
4.1.3.3             Baseline Meteorological Analysis of Eritrean Air Motions
4.1.3.4             Ground Search for Promising Sites
4.1.3.5             Follow-up Spot Measurements
4.1.3.6             Correlation Analysis of Wind Characteristics
4.1.3.7             Examination of Satellite Images
4.1.4        Limitations
4.2     Energy Applications
4.2.1        The Eritrean Energy Sector
4.2.2        Wind Power Supply to the Electric Grid
4.2.3        Wind Systems for Isolate Development Projects
4.2.4        Wind Electricity for Cooking
4.3     Wind Power Economics in Eritrea
4.3.1        The Effect of Wind Speed on Cost
4.3.2        Variability in Turbine Cost
4.3.3        Land Costs
4.3.4        Financing Costs
4.3.5        Operation and Maintenance
4.3.6        Rough Cost Estimate for South Coast Project
5. Future Work
5.1    Wind Energy Policy Goals
5.2    Site Assessment
5.3    Pilot Project Formulation
5.4    Summary of Future Work
B. Appendix B: Preliminary Spot Measurement Results.
 
 

  


 I. EXECUTIVE SUMMARY
 
Wind energy is a fast-growing energy supply having reached a world-wide installed capacity of 5 GW by 1995. In Germany, today's largest wind energy market, installed wind power is increasing at a rate of 25% per year. If Eritrea is to take advantage of this fast-growing energy source, it needs to evaluate the wind energy resources available to it and engage in the planning necessary for wind energy development project funding and implementation. This report is a first step in developing Eritrea's wind energy resources.

Eritrea as a relatively poor country which is just beginning its reconstruction process. Because of its depleted biomass resources and a low level of electrification, there is a national need for rapid expansion of both the electricity supply and of energy supply in general. In order to satisfy these needs and the large latent demand for electricity and energy, Eritrea needs to invest in a diversified portfolio of cost-effective energy developments. Our preliminary results suggest that wind energy can make an important contribution to a diversified Eritrean energy supply.

Wind energy has a number of advantages and drawbacks. Primary advantages of wind energy development include both its lower cost when compared to diesel-generated electricity and its lack of carbon emissions (which may allow Eritrea to obtain loan subsidies from industrialized countries). Further advantages include its rapid installation, modular configuration, and utilization of national rather than imported energy resources. Disadvantages include the intermittency of the supply, the unfamiliarity of the technology in Eritrea, and a potentially limited scale of resource development.

Another issue of concern is what type of wind technology should be implemented in the Eritrean context. The current tendency in Europe is the development of very large, technically complicated wind machines with a generating capacity of 500 kW or more. Such machines, because of their more complicated components and large size, will incur higher component replacement and installation costs. Another concern for the larger machines is whether or not current transportation and construction infrastructure in Eritrea can handle the installation in mountainous terrain in a safe and cost-effective manner. Consideration of these issues may lead to the use of smaller wind turbines for initial wind energy developments.

In order to convert the idea of wind energy development from concept to reality, Eritrea needs to engage in a variety of evaluation and planning activities. These include:

1. Preliminary Resource Assessment
2. Development of Wind Energy Policy Goals
3. Site Assessment
4. Pilot Project Planning and Development
5. Economic Assessment
6. National Scale Resources Assessment, and
7. National Integrated Planning of Wind Development
 
Each of these steps requires one to two years to complete, but several of these activities can be implemented simultaneously. This report represents the initial component of the preliminary resources assessment, outlines a framework for future work, and provides the basic information necessary for Eritrean planners to develop a specific wind energy development policy. During the coming two years, work can begin on site assessment and pilot project planning and development. Pilot projects will provide important experience with actual wind energy development benefits and constraints in the Eritrean context. Once the results of the pilot projects are clear, and an economic assessment has been performed, a larger, national-scale wind energy resource development can be pursued and integrated into national energy development planning.

Currently, the Eritrean wind resource appears very promising, more than justifying continued study. Potential applications of wind energy development in Eritrea include not only utility-scale generation, but also electricity supply for small-scale isolated development projects, and fuel substitution for household cooking. The fact that the base supply of electricity in Eritrea will be produced by diesel generators during the next decade also increases the competitiveness of wind generation for electricity production. Another specific factor favorable to wind development in Eritrea includes the positive correlation between hourly wind speeds and hourly electricity demand. Electricity produced during periods of peak demand have added value due to the contribution they make to peak generating capacity and electric supply reliability during periods of greatest need.

To date, two regions of potential wind energy development have been identified: (1) the Southeastern coastal zone, and (2) Highland passes. The feasibility of the Southeastern coast for wind energy development seems clear at this stage based on data available from U.S. Navy studies of the meteorology of the Red Sea. Not enough data is available from potential sites in the Highlands to determine their feasibility with certainty, but spot measurements of afternoon dry season wind speeds ranging from 8 m/s to 15 m/s for some sites indicates a probable potential.

The results of this preliminary assessment provide justification for continuing more detailed work on the identification of sites for wind energy development projects. Detailed monitoring of potential sites should be able to begin in approximately six months if sufficient ground survey work can be performed to verify the potential of the identified high-wind locations. Furthermore, considering the wind energy potential indicated by this preliminary assessment, it is now important to develop the policy criteria with which wind energy projects are to be evaluated. A defined policy combined with background information to be collected on costs and technical specifications of wind energy equipment will lay the foundation for quick and efficient evaluation and implementation of wind energy pilot projects. If such pilot projects prove to be a success, then Eritrea may find that a larger-scale of wind energy development is in the nation's best interest. It is then possible that future large scale wind energy developments will make an important contribution to the reduced cost, quantitative expansion, and increased reliability of Eritrea's electricity production. Such improvements in Eritrea's electricity supply, if attainable, will benefit the national economy, the post-liberation reconstruction process and the Eritrean people.

 
II. HISTORY & CURRENT STATUS OF WIND POWER
 
 A. A Brief History of Wind Power

In the past 15 years utility-scale wind power has been transformed from an expensive, experimental, alternative energy technology, to a fully mature energy option. Installed wind capacity worldwide has increased from only 10 MW in 1980 to almost 5 GW by the end of 1995 (See Figure 1: World Wind Capacity). This exponential growth in wind capacity was spurred not surprisingly by dramatic reductions in the real cost of wind power (See Figure 2: Declining Costs of Wind power in California and Denmark). It is important to note that wind power achieved these great reductions in costs in two short decades with only a fraction of the government subsidies that have been poured into the development of nuclear and fossil fuel technologies over a much longer time period.

With an estimated cost for new installations of between 4 cents and 7 cents/kWh at appropriate sites, wind is now cost competitive with installed power from most energy sources (See Figure 3: Levelized Cost of Electricity) and the cost is expected to be substantially lower a decade from now [Swezey and Wan, 1995] . However, new combined-cycle (gas-turbine/steam turbine) generators are now dramatically lowering the cost of new power generated with natural gas or gasified coal. Cost estimates for new combined-cycle natural gas generation are as low as 2.5_/kWh, forcing wind to yet again reduce its target generation costs. It is important to note, however, that those costs apply to countries with an installed infrastructure for coal and natural gas (which Eritrea does not have). Furthermore, although fossil-fuel power generated with combined cycle technology is less damaging to the environment than conventional generation from fossil fuels, it is far more damaging than wind power. Therefore, it is also important to note that these costs reflect neither the environmental or public health damage from emissions of carbon dioxide and volatile organic compounds. In addition, wind power decommissioning costs, ultimately paid by society, are low for wind power when compared to decommissioning costs for other sources, especially nuclear power (which are not factored into the cost of nuclear energy).

Early development of modern utility-scale wind machines occurred primarily in California, spurred by attractive state and federal tax credits and concern for the environment. Up until 1994, California still maintained over half of the world's utility scale wind power. By 1995, 22 countries possessed more than 1 MW of installed capacity (See Table I: Installed World Wind Capacity by Country, 1980-1995 and Figure 4: Percentage of world wind capacity by country), with Europe holding just over 50% of the total [(IEA), 1996] . Of the European installed capacity, almost 90% was located in four countries: Germany, Denmark, the Netherlands, and the United Kingdom - with Germany having the lion's share.

Recently, a booming market has materialized in Asia, particularly in India, and to a lesser extent, in China. Although the 340 MW of new capacity installed in Asia in 1995 represented an enormous fractional increase of 160% in one year, the absolute increase was dwarfed by European additions of 781 MW [Anonymous, 1996] . The vast majority of Asia's current installed capacity is in the new projects in India. A number of analysts are concerned that the development in India may be too rapid to ensure that an adequate institutional structure is in place to protect the long term stable development of the industry.

While the European and Asian markets have been booming, the US market has declined precipitously in the last year. The decline has been attributed to various factors including a sharp fall in wind energy purchase prices in California, when many 10-year power contracts signed in the early 1980's terminated. Energy purchase prices have dropped from over $0.10 per kWh to below $0.03 per KWh. For some wind plants this resulted in a sudden 80% reduction in wind energy sales revenues. These low revenue levels that could not justify new investments, and even made it economically unjustifiable to replace old equipment. This has resulted in a large number of used and refurbished wind machines being available for relatively low prices.

The belief in the 1980's was that conventional energy prices would continue to rise. Instead they dropped in real terms, especially for new installed capacity of combined cycle gas plants, which has left wind vulnerable despite enormous cost reductions of the past 15 years. At the same time, ongoing discussion of deregulation of the electrical utilities industry in several states and at the federal level has created uncertainties for investors, and resulted in utilities abandoning many programs for renewables and energy efficiency.

The net effect of the great instability in the California and US markets has been punishing for US wind turbine manufacturers and wind power companies. Significant layoffs have occurred in the wind industry, and Kenentech Windpower, previously the world's largest developer of wind energy systems, filed for bankruptcy. Admittedly, Kenentech's problems were clearly exacerbated by overly ambitious investments in their 33-meter (blade diameter) variable-speed wind turbine, which had serious, unanticipated equipment failures in the field.

The prospects are now mixed for renewables in general, and for wind in particular in the US. Wind investments by the public sector were fueled by environmental concerns, however the current signal of the public's willingness to pay for environmental protection is unclear. It was industry's cry for low energy prices that spurred deregulation despite the fact that, in real terms, electricity prices have remained relatively stable for decades. This past year, there was enormous outcry and government concessions when gasoline prices rose abruptly, but modestly. Yet recently the US has committed to binding legal agreements for carbon emissions reductions, in the context of the United Nations Convention on Climate Change [Cushman, 1996] .

Although the rapid growth in the European market is expected to slow soon as public objections to wind machine appearance and noise grow [Garrad, 1996], the growth in the Asian Market is expected to remain strong. The enormous number of recent wind energy assessments for lands near the Mediterranean and Red Sea alone suggests rapidly growing interest among many smaller energy consumers in the region [Radhwan, ; Habali et al., 1987; (NREA), 1989; Pallabazzer and Gabow, 1991; Katsoulis and Metaxas, 1992; Katsoulis, 1993; Haralambopoulos, 1995; Incecik and Erdogmus, 1995; Pashardes and Christofides, 1995; Tolun et al., 1995; Turksoy, 1995] .

 
 B. Wind Turbine Technology

Wind power technology has improved dramatically over time. Modern wind turbines are 10 times more efficient at capturing the wind's power than the early Dutch windmills with the same rotor diameter [Gipe, 1995]. In more recent history, the capacity factor of California's wind farms has almost doubled between 1987 and 1990, from an average of 13% to 24% [Cavallo et al., 1993] .

Wind turbines may be categorized into three size ranges: microturbines (<1kW), small turbines (10s of kW), medium-sized turbines (100s of kW), large turbines (>1MW). Microturbines are a relatively new development designed to compete with very small scale remote solar PV at low cost. Small turbines are popular in both off grid and grid-connected applications, with an estimated 138,000 units (24 MW of capacity) operating in the United States, China, Great Britain, and the former Soviet Union alone. The medium-sized wind turbines make up the bulk of the world's approximately 5 GW of utility scale wind capacity. The large machines are mostly in the development and testing phase.

In addition to wind turbines (which by definition generate electricity), there are also mechanical wind systems used now primarily for pumping water. In 1993, there were more than one million wind pumps estimated to be operating worldwide, with an equivalent capacity of over 250 MW. This project focuses on wind electric potential, primarily at the small and medium scales. However, there may be useful future applications for microturbines displacing high-cost PV power in village settings. In the Eritrean context, low-head water pumps are unlikely to be popular because installation would require monetary charges for an activity that is normally carried out by "free" labor. Thus, this option is not currently being pursued.

Most of the early development of modern utility-scale wind machines occurred in California in the late 1970s and early 1980s. Early experiments with multi-megawatt machines failed, leaving most of the successful machines in the field below the 200-kW range. In recent years, in the US, the trend has been toward somewhat larger machines, ~300 - 500 kW. In Europe, due in part to the lack of abundant and inexpensive land, there has been a long-term R&D commitment to larger MW-sized turbines. This interest waned briefly in the first half of the 1990's, but has been enthusiastically embraced once again [Garrad, 1996] . These larger machines, in US and Europe tend to be considerably more complicated, mechanically and electronically, than their smaller counterparts.

Wind turbines may have either a horizontal or a vertical axis. Most modern machines are horizontal axis and have two or three blades, although there are still a number of vertical axis machines-mostly of the two-bladed Darrieus design-in operation. Being symmetric about the vertical axis while spinning, the turbine of vertical axis machines is insensitive to changes in horizontal wind speed direction. In contrast, horizontal axis wind turbines (HAWT), must have the plane of the rotor perpendicular to the wind to capture its power. Modern HAWT systems are therefore designed so that the horizontal axis can rotate about the vertical axis of the tower on which it is mounted. This rotation is referred to as "yawing".

Wind machines may yaw passively or actively. In passive-yaw machines the rotor aligns itself downwind of the tower. In active yaw systems, the turbine orientation is computer controlled to be always into the wind (experiments with passive aerodynamic control of upwind systems have not been highly successful) . These systems are therefore alternatively referred to as down-wind or up-wind systems, respectively. The justification for the additional cost and complexity of the up-wind systems is the avoidance of power reducing turbulence down-wind of the tower.

Another new option in wind machines, allowed by the current sophistication and reduced cost of electronics, is the variable-speed generator, which generates electricity at variable rotor rotation speeds. The argument for variable speed machines is that they can operate over a wider range of wind speeds, thereby increasing the capacity factor of the system and reducing the costs. In addition, running the turbine at variable speed reduces the mechanical stresses on the rotor and drive train, which is hoped will increase the life span of the system. These machines were introduced into the field in the early 1990s and offered great hope for further reducing wind power costs (primarily by increasing capacity factors). Now that there are field data available on variable speed machines, it is not clear that those gains have materialized [Milborrow, 1996] . Critics claim that, although the variable speed machines do indeed generate power over a larger range of wind velocities, their capacity factor is reduced by low availability (because of repair and maintenance) and inability of the active-yaw system to track the wind rapidly enough given their enormous inertia. It is yet unclear whether these problems can be eliminated so that the full potential of this technology can be captured.

Another factor that varies among turbines is whether the pitch of the blades is fixed or variable. Altering the pitch of airfoil blades alters the relative lift and drag forces, thereby changing the amount of power the turbine extracts from the wind. Lift is increased to allow start up at lower wind speeds, or decreased to dump excess power to protect the turbine in high winds and to provide aerodynamic rotor breaking. Pitch control mechanisms experience very large forces at the blade-hub connection and thus must be carefully and robustly designed. Fixed-pitch blades, also known as stall-controlled blades, naturally lose lift in high winds when the laminar flow over the blade surface becomes separated and turbulent. Stall-controlled systems are attractive for their simplicity, but do have a number of limitations: they experience larger stress loads at high wind speeds than variable speed machines and must have additional means of aerodynamic or mechanical breaking. [Cavallo et al., 1993]

To us, the important question is: Which technologies are most appropriate in the Eritrean context? Choosing among the enormous diversity of machines could be a bewildering task. Fortunately, there are factors that can be useful guides. The very large machines (500 kW or more) are likely to be unsuitable for a number of reasons. First, their large size makes them unsuitable for transportation on small roads. A 500 kW turbine has a rotor diameter of about 35 meters, compared to a rotor diameter of only about 18 meters for a 100 kW turbine. Similarly, installation of the larger machines requires the availability of very large cranes. Finally, the use of the new variable speed machines seems imprudent at this point given their limited field experience and their relatively unimpressive performance to date. In general, it appears prudent to opt for the smaller range of medium sized machines (~80 - 200 kW) with simpler technologies and long field experience. Variable pitch machines, although more complicated than fixed pitch machines, might be the exception since they have received considerable field experience (22 of the 35 models of wind turbines in the Altamont Pass in 1992 are of variable pitch design).

When considering the purchase of individual machines, there are some compiled data available that should prove useful. Lynette (1989) performed a detailed evaluation of the operation and maintenance of 4,500 turbines installed in California between 1981 and 1987. Current information is available in quarterly reports entitled the "Wind Stats Newsletter" on the performance of 7000 individual turbines installed in 6 countries in Europe (Wind Stats Newsletter, Vrinners Hoved, 8420 Knebel, Denmark, Fax: +45 86 36 56 26, Tel: +45 86 36 59 00). The data for Denmark and Germany are available in digital form. In addition, the California Energy Commission compiles data on turbine performance from field experience in the California.

 
III. ADVANTAGES AND DISADVANTAGES OF WIND POWER
In this section, we briefly discuss, point-by-point, the advantages and disadvantages of wind-generated electricity in comparison to more traditional energy sources. The materials and technologies required for using wind as a energy source differ considerably from those used in traditional energy sources. In determining the suitability of large scale use of wind energy for a given region, the costs and benefits of the technology must be carefully weighed. This section discusses the issues that must be taken into account when considering the development of wind as an energy source. We describe qualitatively the factors influencing the costs and benefits of wind power below.  A. Resource Availability Traditional fuels such as coal and oil, are found only in limited geographical areas. These fuels can be harvested, processed, shipped, stored and used as needed. This allows production of energy whenever and wherever the demand exists. Good wind resources are much more widely distributed over the earth's surface, but have the liability that the resource cannot be stored or shipped. On the other hand, the converted wind energy can be stored several ways, though this additional storage cost may jeapordize the economic viability of the resulting energy. (See section on storage, below).

But storage issues arise only when more than 30% of the energy supplied is from intermittent renewables. Below this level the supplied energy provides a variable, negative load, and as such reduces the fuel consumption requirements on the other generators in the system. The energy provided by the wind resource is essentially free and inexhaustable except for the capital, maintenance, and repair costs for the turbine and grid integration electronics.
 

 B. Power management and Integration Even in best sites, the wind does not blow continuously. Although wind power sometimes parallels demand, the correlation is unlikely to be perfect. Because of this, wind clearly cannot generate 100% of electricity demand without substantial storage capacity, which can be costly. High wind penetration, or the percentage of wind capacity connected to a system, decreases the reliability of the system due to the addition of the intermittent wind resource. Large-scale systems at low wind penetration create fewer problems for wind integration than those with higher penetration. In most systems, wind should be able to contribute from 25 to 45% of the total electricity before operational losses become prohibitive, even in the absence of storage [Grubb, 1993].

If the installed wind capacity is larger than this, then the intermittence problem may be reduced by having many wind turbines spread out among different sites in different wind regimes. This will smooth the overall output. In addition, if energy demand is not well correlated with the timing of wind supply, financial incentives can be used to shift demand to periods of larger wind power supply. Alternatively, back-up power systems and/or storage facilities can be installed.

 
Storage

Since wind power is an intermittent energy source, some method of storing energy is desirable for high wind penetration systems to ensure adequate supply during peak consumption. Such storage at present is probably too costly to be feasible for large-scale projects. Batteries are the simplest method of storing energy, but can be large and costly. Other possible methods include using excess energy to pump water from a low reservoir to a high reservoir during times of low demand, and then allowing the water to flow back down through a turbine to generate electricity when it is needed. Storing excess energy as compressed air in subterranean chambers has also been shown to be feasible, and may be less costly than storage using the elevation of water [Cavallo, 1994)]. Other possibilities for future utility-scale wind generation include fly-wheel storage (for short term variations) or chemical energy storage in the form of hydrogen fuels. The latter may be a particularly promising application for coastal wind plants in the long-term future.
 

Back-up Systems and Additional Power Generation

Another solution to intermittency is the installation of additional power sources, either as backup systems or to work in conjunction with the wind system. This increased diversity increases system reliability considerably. Consistency is best improved through the use of hydropower generators and gas turbines when available. Because they can be quickly turned on and off in response to wind power fluctuations. Diesel generators can also be run when wind velocity is low and stored electricity is not available, but their response time is not as quick as hydropower and gas turbines.
 

 C. Environmental Issues The burning of fossil fuels is the predominant anthropogenic source of air pollutants worldwide. Carbon dioxide, sulfur and nitrogen oxides are threatening not only to those in the immediate vicinity, but also to the health of the global ecosystem. The Intergovernmental Panel on Climate Change has issued a statement asserting that global warming is occurring, and that it poses a significant threat to human and other biotic systems. These findings have fueled progress toward a legally binding international agreement to reduce emissions.

Compared to most other sources of energy, wind energy is environmentally benign. No air pollutants, radioactive materials or any hazardous substances result from the production or use of wind turbines. That is not to say, however, that wind energy does not have any negative qualities. Following is a list of negative environmental impacts commonly associated with wind farms.

Land requirement

Because of the nature of wind, many machines must be installed to catch large amounts of energy. In addition, these machines must be spread out over a large area, to ensure that the turbines do not interfere with each other. Turbines in large wind farms are typically separated by 5 to 10 rotor diameters, each turbine occupying an area of about 50 square diameters of land. Although these requirements seem demanding at first glance, they actually compare favorably with land requirements for coal or nuclear generation when the full life-cycle requirements of mining, processing, transportation, and waste disposal are considered.

Field studies in California indicate that wind projects occupy about 7.1 ha (0.071 square kilometers) per MW [Gipe, 1991]. Using these figures, a wind farm which produces power at the rate of an average nuclear power plant (about 1 GW) may require an area of over 70 square kilometers. However, since only about 10% of this area is actually disturbed by the turbine base and access roads, the remainder can be used for farming or grazing. In California, the addition of wind turbines actually increased revenues and land values for the farmers who owned the land, allowing ranching which was otherwise not economical to continue.
 

Visual impact

Because wind turbines are typically between 40 and 70 meters in height, a significant impact of a large number of turbines in an open area is unavoidable. However, the effect of the turbines' presence is subjective and opinions vary widely. Surveys have shown that uniformity of size and spacing improves aesthetic acceptability considerably [Clarke, 1991]. In addition, tolerance of other large structures such as pylons, utility towers and telephone poles suggests that negative opinions may be more a matter of habituation than the appearance of the objects involved.
 

Noise

Noise created by gearboxes and blades can be a problem in densely populated areas, and can limit settlement within audible range. This issue has received considerable focus in densely populated Europe where wind development has been very rapid in recent years. Recent studies show that the use of large wind turbines over medium sized turbines limits noise output per watt, but these large machines have many other drawbacks discussed in the section on turbine technology. Although people do not generally choose to settle in areas with unusually high wind speeds anyway, care should be taken to ensure a distance of several hundred meters between the turbines and the nearest habitation. Placing turbines some distance from residences is useful for both noise and safety reasons.
 

Electromagnetic interference

To avoid problems of interference with vital radio transmission services such as aircraft navigation systems, the relative locations of such facilities and wind turbines should be studied carefully. Where potential for problems exists, careful choice of turbine design and materials can reduce radio interference, or, a booster receiver / transmitter can be installed.
 

Wildlife Disturbance

At this point, birds seem to be the only wildlife adversely affected by wind turbines, and even this disturbance is rarely a problem. Studies show that, in most cases, the effect is negligible under conditions of good visibility. At Altamont Pass in California, however, bird strikes occur at a rate of about one per month, which is often enough to raise concerns over the issue. This problem can be limited by avoiding known bird migration routes, and perhaps more importantly, locations of known rare and endangered species. Considerable research is underway on rotor and tower modifications that might be used to limit the disturbance.

It should be noted that studies in the United States and Europe indicate that bird deaths attributable to collisions with wind turbine rotors are significantly lower than deaths from collisions with motor vehicles and windows. Also, environmental benefits provided by wind power over nuclear and fossil fuels also accrue to birds.
 

 D. Economics Recent studies by the California Energy Commission (CEC), the Electric Power Research Institute (EPRI) and Pacific Gas & Electric (PG&E) confirm the wind industry's claims that wind has become competitive with conventional energy sources. When social and environmental costs are included in the price comparison, oil combustion, nuclear fission, and coal are among the highest cost, whereas efficiency, wind, and biomass are among the lowest-cost technologies (See Table 2).

Optimal conditions for the economical development of wind power include high wind speeds, low interest rates, and low labor costs. Due to the high capital costs associated with wind development, no country has successfully built up a wind generation industry without subsidies. At over $1,000 per installed kW, high capital costs can be a real problem when such capital or loans are not available, or where interest rates are high. However, because wind power is a clean energy source, loan subsidies may be obtained from industrialized countries to help in financing development.

The relatively low cost of decommissioning of a wind power plant is one of its often unaccounted for economic advantages. Decommissioning costs for a medium-sized wind turbine (including removal of the turbine, tower, foundation, and wiring, and re-vegetation of soil) is estimated by the US Bureau of Land management at about $50 per kW [Gipe, 1995]. In addition, the wind decommissioning costs cited here may be significantly overestimated by not taking into account the fact that old turbines can be upgraded by modern turbines at the end of their useful lives, reusing the tower and platforms, as well as recycling many of the other parts.

Finally, unlike many other capital-intensive energy technologies, such as solar or geothermal, wind plants require a fair amount of labor. According to the Worldwatch Institute, results from California indicate that wind is the most labor intensive of the energy technologies it examined. This is a disadvantage in that it implies a fairly intensive maintenance and operation routine is required. It may be a benefit in the case of Eritrea in that labor costs are low, and as such maintenance and operation may cost less in Eritrea and provide additional employment.
 

 E. Production, Installation and Maintenance One of the main benefits of wind power over conventional electricity generation is the comparative ease with which turbines are set up and maintained. Since wind machines are pre-manufactured, installation is relatively quick and straightforward once a site has been chosen. Another advantage is that wind farms are extremely scaleable, with one, ten, or perhaps hundreds or even thousands of machines. Because of this inherent modularity, increasing or decreasing capacity as needed is a fairly simple proposition and does not require the outlay of unnecessarily large capital expenditures at any one time. Also, wind systems can continue generating electricity even when one or more machines are down for maintenance. Although new combined-cycle gas generation offers similar benefits of modularity, conventional large-scale power plants have to be built on-site, requiring years of planning and building, and cannot produce power during periods of maintenance or repair.

Regular maintenance, consisting mainly of simple procedures such as lubricating turbine parts, can be carried out by the on-site operator, but visits which require parts or all of the turbine to be lowered to the ground may require assistance. Thorough maintenance checks should be made at least once per year, more frequent visits are recommended, especially before and after severe weather conditions. Maintaining a log of the condition of fasteners and any corrosion is recommended, especially in coastal areas where salt and moisture can be especially corrosive.

For more remote populations, roads from larger cities to remote villages may need to be built or improved. Larger wind machines must be delivered by truck, and future maintenance may require roadways also. Of course, small wind machines may be delivered to remote locations by helicopter or airplane, in which case roads would be unnecessary. Telephones or some other method of communication would also be helpful for maintenance.
 

 F. Political Issues Wind energy as an indigenous resource provides the political advantage of decreased dependency on foreign fuel inputs. But as a capital-intensive technology it still makes a country like Eritrea dependent on the acquisition of foreign financing (Unless the country wants to use its own scarce foreign currency reserves. But this is not an adviseable strategy). But in the case of wind energy such capital funds may be accessible at reduced rates (3% interest or less). A reason for low-interest loans to support wind energy development, is that the industrialized countries have now realized that their fossil fuel consumption is resulting in global warming and probable climate change. Meanwhile the supply and demand for energy in the Lesser Developed Countries (LDC's) will increase rapidly. But since there is a shortage of capital in the LDC's, they will seek energy supplies with low capital requirements which are generally petroleum products which emit large quantities of carbon dioxide upon use. This will require the industrialized countries to make expensive replacement of their carbon emissions to displace the increasing emissions from the LDC's. One alternative strategy for the control of carbon dioxide emissions, is to provide a moderate subsidy for investments in renewable energy supplies in LDC's. The most economical large scale renewable with no carbon emissions is wind power. Thus as carbon dioxide emissions become a greater problem, it becomes economical to provide greater subsidies to wind power developments. These subsidies will probably be provided in the form of loans at low interest rates, or occasionally as grants.
   IV. ERITREA WIND POWER POSSIBILITIES
   A. Preliminary Wind Resource Assessment

 1. Objectives

Ideally, we would like to generate an accurate wind map of the entire country to be used as a tool for Eritrean policy makers to select appropriate sites for wind energy development and to attract wind energy investments. Such maps have been generated for the US, Europe, and many other regions.

Approaches to wind mapping depend on the nature of regional wind flows, the complexity of the terrain, and the availability of a reasonably dense network of meteorological monitoring stations. In regions with very simple terrain, predictable regional wind flows, and reasonably dense monitoring networks, wind maps may be generated using simple extrapolations of meteorological station data. This was the approach taken in the wind assessment of Somalia (Pallabazzer and Gabow, 1991).

For somewhat more complex terrain, station data may be extrapolated using simple meteorological models that account for the effect of topography on flow. Such models are commercially available (WAsP from RISOE, Denmark), but are only applicable for gently sloping terrain in regions with well-defined regional winds (geostrophic winds) (Petersen et al., 1994). They use linearized versions of the equations of fluid dynamics which cannot simulate conditions in Eritrea, where thermally driven winds disrupt regional wind patterns and extreme elevation changes in the highlands channel flows and concentrate wind energy. Here, locations only a few kilometers apart may show little or no correlation in wind speed and direction. Standard methods are not available for such sites. Approaches in these regions range from applying meteorological intuition, given information on topography and regional wind flows, to using state-of-the-art mesoscale models employing the full set of non-linear equations of fluid dynamics. In general, these models have not been validated under the extreme tropical conditions present in Eritrea.

For these reasons, it is sensible to pursue a wind resource assessment in stages in Eritrea, where the ensuing stage is pursued if the previous stage provides promising preliminary results. Figure 5 is a schematic presenting the different phases and the interactions between them. They are briefly described here.

Preliminary Resource Assessment (also known as wind prospecting)
During this phase, all available existing wind energy data and related meteorological data are gathered and evaluated with the goal of identifying obviously promising wind energy sites (without conducting an exhaustive resource assessment). This stage is nearing completion. The preliminary wind resource assessment strategy and currently available results are described below.

Developing Preliminary Policy Goals for Wind Development
Given a promising wind resource indicated by the preliminary assessment, appropriate wind energy applications are identified (see Applications section) and a preliminary evaluation is conducted of the institutional and structural pitfalls and potentials on wind energy development in Eritrea. The latter includes the prospects for integrating wind energy into the existing grid, using wind energy to meet known and predicted energy demand, and examination of possible institutional barriers.

Site Assessment
Based on the results of the Preliminary Resource Assessment and desirable applications identified in Developing Preliminary Policy Goals for Wind Development, several candidate sites for a pilot project (or projects) are identified for year long wind monitoring. For example, if utility-scale wind generation is determined to be the priority, a site suitable for connection to the transmission line would be optimal in order to not only demonstrate technical feasibility, but to develop the managerial expertise required by the utility. Monitoring procedures will follow international protocols for wind resource assessment (AWS Scientific, 1996) .

Pilot Project
One or more pilot projects should be planned, carried out, and evaluated to demonstrate technical feasibility and develop managerial and technical skills. These might include a grid-connected utility scale wind generation project, a smaller scale wind-diesel hybrid system, a wind powered ice-making facility on the coast or and/or some other microscale application (see Applications section).

Economic Assessment
Given data from the site assessment, detailed economic evaluations are performed. Prior to the availability of these data, any economic predictions are highly speculative.

National Scale Resource Assessment
If the economic and preliminary resource assessments look promising, a comprehensive national-scale resource assessment can be initiated. Such an assessment can take many years, but it will be essential to fully exploit the economic potential and to fully capture the environmental and social benefits that the wind resource may offer. The assessment would use a combination of many techniques: continued prospecting, monitoring, correlation analysis, and modeling.

Utility and Government Planning of Orderly Wind Resource Development
Given the successful outcome of the previous stages, the government and utility can initiate an orderly plan and institute appropriate institutional mechanisms for the development of wind resources in Eritrea.
 

 2. Strategy

The preliminary wind resource assessment has involved a number of parallel efforts to identify promising wind resource locations. Preliminary assessment efforts have included: (1) identification and collection of existing and available wind and related meteorological data for Eritrea, (2) Preliminary wind power classification of for the Red Sea Coast, (3) Baseline meteorological analysis of Eritrean atmospheric motions, (4) Ground search for promising wind sites, (5) Follow-up spot measurements, (6) Correlation analysis of wind characteristics, and (7) Examination of visible and infrared satellite images for indications of wind flows. These efforts are described below. Identification and collection of wind data
Because wind data must be accumulated for a period of a year or more to obtain a reliable wind resource estimation, and such an effort is costly, it is advisable to first make a preliminary assessment based on available data. Such an assessment not only determines whether further effort is warranted, but also locates regions of significant potential for further study.

Global data bases describing wind speed, wind direction and topography are available from several different sources. Important sources in the US include: the National Climatic Data Center (NCDC), the United States Geological Survey (USGS), and NASA's Jet Propulsion Laboratory (JPL) Physical Oceanography Distributed Active Archive Center (PO DAAC).

Wind Data Over Land
Meteorological data for less developed areas may be extracted from global datasets, but are generally incomplete as well as lacking sufficient spatial and temporal resolution. More complete datasets can often be found within the country or region of interest. Meteorological and climatological stations as well as airports are likely to have reliable information. Although many of these are included in the global databases, some may be not be. The World Meteorological Organization maintains a record of all land-based stations worldwide at which meteorological observations are made.

Wind Data Over Water
For resource assessments conducted near coastal areas, wind speed and direction over the surface of the water may also be helpful. Data from observations made on ships and buoys can be obtained from NCDC. In addition, satellites provide information from which wind data over large water bodies is routinely calculated. In particular, scatterometer-derived wind data from ERS-1 and SSM/I satellites may be obtained from the Jet Propulsion Laboratory in Pasadena, California. Studies comparing ERS1 and SSM/I wind vector data with buoy wind measurements show agreement to within 2 m/s. However, one must bear in mind that these estimates become highly unreliable within 100 km of the coast [Wentz, 1992].

Graphical Databases
High-resolution topographic data is also necessary for predicting regional wind flows. Other information such as vegetation, settlement and infrastructure location is required for determining areas that are not available for development. Such information can generally be acquired from the United States Geological Survey at no cost.

To track cloud movement, real-time photographs taken from satellites may be viewed and downloaded from the Internet. Although these photographs are not directly useful as wind data, they are useful qualitative indicators of regional air-flows.

Preliminary wind power classification for the Red Sea coast
The primary data base to be used for the wind power classification of the Eritrean coastline is the COADS ship and buoy database, which has 140 years of instantaneous observations at various points along the Red Sea. These wind speed and direction data will first be organized by location, and then used to determine wind power densities from which wind class will be calculated.

The resulting wind map can then be compared to other databases, including previous wind estimates in the northern Red Sea and satellite observations; however, it is not clear which data set should be considered most reliable. Assuming the ship and buoy data is accurate and comprehensive, it seems that the wind estimates based on these sources would be most accurate. However, since these observations are instantaneous, biases may be present if measurements for given locations do not have good temporal coverage. These factors will be considered and accounted for during analysis.

The tentative estimates presented in this report are based on the 1993 US Navy Climatic Study of the Red Sea and Adjacent Waters, which presents a variety of surface marine statistics. Wind speed and direction are presented as monthly averages in the form of wind roses covering one degree bins (about 100 square kilometers). Since the bins cover such a large area, clearly there will be individual sites within each bin that have higher (and lower) average wind speeds than is presented for the entire bin. Since we are looking for sites with particularly high average wind speeds, we can safely assume that a good wind site will have significantly better resources than what is calculated for the entire bin. That is to say, the calculations presented here are conservative.

Baseline meteorological analysis of Eritrean air motions
In order to lay a theoretical foundation for some of the wind prospecting work, a baseline analysis of Eritrean meteorology is being formulated. An understanding of regional and local meteorological mechanisms will point to those factors which are important in producing high winds and good wind sites. The theoretical understanding can guide prospecting work which is later confirmed through more detailed measurements.

Ground search for promising sites
A ground survey of wind resources with direct measurement of wind speeds is the most reliable mechanism of determining wind resources. But usually cost constraints limit the scope of such measurements in both space and time. Therefore, the strategy which is being pursued is to take a few anemometer measurements in many locations dispersed throughout the country, to examine biological indicators of wind speeds, and to take oral testimony of local inhabitants.

Ground survey efforts have been concentrated in areas within forty kilometers of the capital, Asmara, where the central electricity grid is located, but more distant locations will also be examined. The lower transmission costs of sites near the central grid make such sites more desirable at the early stages of development and warrant more intensive prospecting efforts.

The larger volume of lower-reliability indicators and data is assisting the identification of a range of potentially promising sites for future study.

Follow-up spot measurements
Once potentially promising sites have been identified, a series of follow-up spot measurements are performed. These measurements consist of a day-long series of readings throughout selected 24-hour periods, once per month. Such measurements will aid in identifying which of the potential sites justify longer-term monitoring with automated data-loggers.

Correlation analysis of wind characteristics
In order to garner the greatest utility from wind measurements, a correlation analysis of wind characteristics is being performed. Existing wind data from Eritrea is being analyzed for its daytime variability, day-to-day variability and correlation, place-to-place correlations, and correlations with different meteorological parameters. This information will aid data collection and analysis activities and provide error estimates and adjustments for the detailed measurements that will be taken for the site evaluation work.

The work is analogous to the highly successful early assessment of the Altamont Pass site [Simon, 1984; Davis and Nierenberg, 1980] and gives us confidence that windy locations can be found using a thermal meteorological analysis despite the limited number of meteorological stations.

Examination of Satellite Images
Satellite images are an important meteorological analysis tool. Visible and infrared Meteosat and NOAA images have been examined to obtain qualitative indications of wind patterns and meteorological mechanisms.
 

3.  Results

Identification and Collection of Wind Data
Below is a description of data sets that have been collected for use in this study. Except for the Naval studies, all data sets were either downloaded from the Internet or received from the source on 8mm tape or diskette. For a detailed description of available data sets, see Appendix A.

Wind Data Over Land

· .  hourly averages available from 1985 to 1990 for Aseb
· . minute observations for Asmara, Filfil, Kerkebet, Sh'eb, Faghena and Tsorena
Wind Data Over Water · . instantaneous ship and buoy observations available for the Red Sea from 1856
· . a global assimilation product with monthly averages available from 1985 through 1993
· . global wind data over water surfaces available from 1987
Graphical Databases · . African digital elevation data with 30 arc second resolution
· . topography, vegetation, infrastructure, settlements and other physical databases for Eritrea
 
Careful examination of the available data shows that a good amount of wind data is available over large bodies of water. Unfortunately, the data available inland is extremely lacking. In Eritrea, there are only a handful of inland stations taking measurements at all, and those that do are frequently unreliable, with faulty or missing data for hours, days or even months at a time. However, using the comprehensive ship and buoy database acquired from the U.S. Navy, it should be possible to estimate wind power along the coastline well enough to identify promising locations. These locations will be further observed for a one year detailed site assessment. The results may be used for pilot projects -- and ultimately for wind-hybrid projects or wind farms.

 Preliminary wind power classification for the Red Sea coast

The data analysis of the instantaneous ship and buoy measurements from 1856 to the present is still in progress. The following preliminary estimates are based on the wind data presented in the 1993 Naval Climatic Studies of the Red Sea. These calculations use the following technical assumptions:

· . Hub height above ground: 40m
· . Rotor diameter D: 20m
· . Average turbine spacing: 10D x 5D
· . Total conversion efficiency: 26% (Turbine efficiency of 35 %; array and system losses of 25%)
 
Aseb
Average annual wind speed (m/s)                     7.2
Wind Power Density (W/sq. m)                     511
Wind power available per turbine (kW)          167

Idi
Average annual wind speed (m/s)                     7.6
Wind Power Density (W/sq. m)                    677
Wind power available per turbine (kW)          221

NOTE: Height extrapolations based on 2/7 power law

A typical wind power density for utility scale energy production is 450 W/m² [Covally, et. al., 1993]. These wind power densities calculated from monthly wind mean wind velocities assuming a Raliegh distribution for each month. The wind power densities are high because of several months with very high wind speeds (~9 m/s) at 10 m. height. It should be noted, though that power supply during the months of June, July, August, and September.

Baseline meteorological analysis of Eritrean air motions
The main result from the baseline meteorological analysis is a semi-quantitative description of Eritrean air masses and air motions which will be described in more detail in other reports. But we will outline this description presently.

Winds in Eritrea are largely a product of fairly local thermal forcing interacting with atmospheric stratification and topography. There are two main seasons in Eritrea, the Keremti, or rainy season (June to September) and the Hagai, or dry season (October to May). During the rainy season, the Eritrean atmosphere has a nearly neutral stratification, and deep convective precipitation is common, beginning primarily over the Eritrean highlands usually between noon and 1 PM in the afternoon and spreading to the Southeast from its point of initiation. During the dry season, the Eritrean atmosphere becomes stably stratified with a vertical potential temperature increase in excess of 10 ° C between air near the Red Sea and air in the highlands. Also during this season, temperatures in the Gulf of Aden tend to be lower than temperatures in the Red Sea while temperatures in the Western Lowlands of Eritrea tend to be much warmer than Red Sea Temperatures. The thermal and pressure forcing of the dry season pushes air in the lower atmospheric layers from the Gulf of Aden to the Northwest into the Red Sea and from the Red Sea though the Eritrean highlands into the Western lowlands. These air motions produce two high wind locations: the Southern Red Sea near Bab al Mandab, and the lower passes of the Eritrean highlands. At these locations cooler denser air is being focused and accelerated as it is passing through topographic constrictions.

Ground search for promising sites
The ground surveys for promising wind sites have indicated that most locations in the Eritrean highlands have moderate winds (~3 m/s at 10 m height). But a few locations have been found that show promise for significant wind resources. These locations tend to be near passes or areas through which cooler Red Sea air passes as it flows to the West during the dry season. During the wet season, winds appear to be moderate at almost all locations. The results from the more promising wind sites are described in Appendix B.

Follow-up spot measurements
To date only one series of follow-up spot measurements have been made at Dekemhare during the low-wind rainy season. The details of these measurements are described in Appendix B. A more intensive program of such measurements is planned for the coming months.

Correlation analysis of wind characteristics
A preliminary correlation analysis of wind data collected by the Eritrean Department of Water Resources has been performed by Robel Yosief, a senior physics student of the University of Asmara. In brief, this analysis shows that a month-long series of two-hour wind speed averages is well approximated by a periodic signal with a period of one day. The correlation between a periodic signal and two-hour average data for one month periods is 0.7 on average. This indicates that errors of only 15-30% are obtained when approximating wind data by a periodic function.

Furthermore, Robel Yosief's study indicated a low place-to-place correlation of daily average wind speeds (less than 0.3) lending support to the idea that Eritrean winds are produced by thermal forcing effects interacting with local topography, and are not produced from synoptic scale weather systems.

Further work will include an analysis of seasonal wind correlations, which hopefully will shed light on seasonal and annual variations in wind speeds.

Examination of Satellite Images
Examination of Satellite images has helped confirm the identification of Dekemhare as an important Eritrean wind site. Images reveal the air motions through the Dekemhare pass by virtue of the observed cloud formations (a fog bank Northeast of Dekemhare and lee wave clouds to the West). Relative to other locations, the flows through Dekemhare appear to be some of the most significant through the highlands. Satellite images also provide evidence for other potential sites including mountain passes near Adi-Keyh, Debresina, Ghizghiza, and Hishkib (near Nacfa). But such indications of mountain pass wind sites will have to be confirmed through site visits which have yet to be made.
 

 4. Limitations

We emphasize that any resource assessment based on existing meteorological data is only suggestive and serves merely as an indicator of a promising resource. Such estimates cannot be used as the basis of economic calculations for utility-scale power generation without extensive, year-long site specific monitoring. For example, consider a site with an estimated annual average wind speed of 6 ± 1 m/s. This implies that the average annual wind speed might reasonably be anywhere between 5 and 7 m/s, which corresponds to a factor of 2.7 difference in power! An error this large can certainly make the difference between a wind site that is economical for energy production and one that is not.
   B. Energy Applications In the previous sections we have seen how wind electricity generation is a rapidly developing and maturing renewable energy source. The next question is if this source is appropriate or desirable for Eritrea and at what levels. In 1992, California and Denmark produced 1.1% and 2.5% of their electricity from wind, and Denmark has the stated goal of producing 10% of its electricity from wind by the year 2005 [Cavallo, 1993]. Eritrea has an electric firm capacity of 60 Megawatts and generates 144.6 GWh per year. Actual electricity production has been increasing at an annual rate of 10% from 1992 to 1995. If Eritrea seeks a level of wind energy penetration in its electricity market similar to Denmark, this would imply a goal of approximately 15 MW of wind generating capacity in ten years at a capital investment cost of about $15 million [Cavallo, 1993].

There are several distinctive factors that might justify Eritrea taking a relatively advanced position with regards to wind energy development. First and foremost, Eritrea's economic development is constrained by the lack of long-term investment capital. Due to current political concerns with regards to global carbon emissions, wind energy development will provide access to capital funds at subsidized rates (perhaps even as grants) that otherwise would not be available for electricity development. And since energy supply is also one of the major constraints on national economic development, such additional investments will have an economic multiplier effect in addition to increasing the pace of national reconstruction.

Second, the main constraint on wind energy development in the economically more advanced countries is the competition from natural gas generators [Grubb, 1993]. Because of the very high capital cost of transportation and distribution facilities for natural gas, such generators are not a feasible option for Eritrea in the next decade. Meanwhile, compared to electricity generation from diesel and fuel oil which costs $0.065 per kWh, standard cost estimates indicate that for good wind sites, electricity generated from wind is cheaper than electricity generated from diesel

Third, Eritrea has taken steps to perform a wind resources evaluation which is a major constraint on wind energy development [Grubb, 1993]. The lack of wind resources evaluation expertise and technical capacity in wind electricity generation is probably one of the main factors limiting wind energy utilization in developing countries. Current technical capacity building activities are removing this constraint for Eritrea.

Fourth, Eritrea has some unquestionably favorable wind resources along the Southern coast and may have other good sites in highland passes in the center of the country. For highland sites, some of the physical properties of the wind resource increase its potential value. These include a highly periodic wind pattern with low variability [Yosief, 1996], and a positive correlation between wind power availability and electricity demand. A positive correlation between wind power and demand is a rare quality of wind energy resources [Grubb, 1993].

Due to these unusually favorable factors for Eritrean wind energy development, it may be to Eritrea's advantage to plan a relatively high level of wind power penetration for the energy sector. What remains is the technical question of the economic and physical feasibility of wind energy development in the Eritrean context.

In the evaluation of wind energy feasibility in Eritrea, several subsidiary technical questions arise:

1) What might be the detailed role of wind energy in over-all energy sector development?
2) What are the types of wind power developments that might be desirable in Eritrea?
3) What is the extent of wind power development that is possible over the long-term?
4) What are the potential economics of wind power development in the Eritrean context.
To answer these questions, we first review the over-all energy situation and policy in Eritrea. We then discuss in turn three areas of possible wind energy development. And finally we provide preliminary evaluations of wind power density and economics.
   1. The Eritrean Energy Sector The Eritrean energy sector is characterized by a relatively low level of electricity supply, a reliance on biomass (especially in the household sector), and a large unsatisfied latent energy demand. Approximately 80% of energy consumption is biomass while 2% of consumption is electricity with the balance being liquid petroleum fuels [Government of Eritrea, 1995]. Meanwhile, government energy policy is: a) promoting rapid expansion of the electricity supply, b) providing support for high-value isolated rural electricity supply for specific development projects, and c) promoting the replacement of biomass resources with alternative fuels.

Virtually all electricity is generated with diesel and fuel oil with perhaps 100 kW of solar electric capacity in remote areas. There exist both central generators in the 45 Megawatt Interconnected System (ICS) with the rest being generated in small to medium-sized towns which are part of the 15 MW Self-Contained System (SCS). The cost of electricity production in Eritrea is approximately Birr 0.45 or US$ 0.065. As much as 80% of the population is without electricity, and one of the national priorities is to expand electricity supply by at least 6% per year. From 1992 to 1995 actual electricity consumption has expanded at a rate of 10% per year. These expansions are occurring primarily through improvements and expansion of the ICS because the economies of scale will provide for greater efficiency in a central electrical grid. The Eritrean government has approved the construction of a 84 MW heavy fuel oil fired power plant which is expected to be completed at Hirghigo, near Mitsiwa'e in 1998. If Eritrea decides to invest in a wind electricity generating capacity, it could be used to provide a 10%-20% expansion of the electric supply after 1998.

In more isolated locations, there exist selected PV applications for systems of 3 kW peak demand or less, while most larger applications use small-scale diesel generating units. The solar electric systems in these projects have a very high capital cost of over $7 per watt of peak capacity. Meanwhile, the diesel systems suffer from high operational costs and fuel supply problems. For those sites with good wind resources and for applications that can utilize intermittent electricity supply, wind generators may provide a more economical source of electricity with capital costs of $1-$4 per watt of peak generating capacity for systems in excess of 10 kW capacity.

In the biomass sector, because of shortages and environmental degradation produced by the collection and use of biomass fuels, current national policy is to replace biomass use in the household energy sector with Liquefied Petroleum Gas (LPG) which is viewed as the most economical and desirable replacement fuel.

Therefore; corresponding to these three active areas of energy development, there are three priority areas of wind energy development in Eritrea:

1) Expansion of electricity supply for the central grid (ICS) and for components of the SCS that will remain isolated from the central grid,
2) Provision of electricity for smaller scale applications in isolated locations, and
3) Replacement of biomass fuel use for household energy supply.
For each of these areas of energy development wind energy needs to be evaluated relative to competing technologies using a cost-benefit analysis. By using those technologies that minimize cost and maximize benefit to Eritrea and by diversifying energy supply, the long-term economic viability of the energy sector can be assured.

For expansion of electricity supply for the ICS, wind farms would be developed near the ICS that would feed electricity into the central grid. Being an intermittent and variable supply of electricity, only a portion of ICS demand could feasibly supplied with wind energy. But if wind energy supply has a lower net cost of production than diesel generation, then it can provide generation cost reductions proportional to its fractional electricity supply contribution.

There are also specific applications in isolated locales where wind electricity supply will be the most economical option in high wind locations when compared with solar PV and small scale diesel generators. Feasibility evaluations and cost analyses of these smaller-scale applications together with the development of a technical support infrastructure can aid in the implementation of less costly and more efficient smaller-scale rural development projects in such isolated areas.

And finally, it may also be feasible to use wind generated electricity to provide energy for household cooking applications. This application surprisingly may be competitive with LPG supply under certain conditions due to peculiarities of the Eritrean cooking sector.

These three possible wind power applications will be discussed in more detail below.
 

 2. Wind Power Supply for the Electric Grid In developing wind power for the electric grid, the primary considerations are economic. Currently, only the Southern coastal region of Eritrea is clearly feasible for wind energy development. Mean winds along the Southern coast of Eritrea exceed 6.5 m/s which indicates the likely if not certain feasibility of wind power development. The details of the wind power resource along the Southern coast will be presented in a later section. These resources could readily provide supplemental electricity supplies for the city of Aseb contributing up to 10-30% (~2 MW) of the total demand depending on the detailed characteristics of the wind energy resource. Yet the main electricity load in Eritrea is currently in the central highlands region. Therefore, if a more extensive wind power development is desired, economically feasible generation sites need to be found closer to the load center in the Eritrean highlands, or transmission from the Southern coast to Mitsiwa'e needs to be considered.

Preliminary identification of some potential wind energy sites in the central highlands region has been made, based primarily on a few spot measurements and biological indicators. The most promising site so far is the mountain pass at Dekemhare at which spot measurements during the dry season indicate wind speeds of 8 m/s to 15 m/s (at 2.5 m. height) during the day. If the daily wind pattern for this location is similar to that of other highland areas, then this implies a mean wind speed in the range of 5 m/s to 9.5 m/s during the dry months. Spot measurements during the rainy season indicate a distinct decrease in wind speeds during June to September (similar to the decrease in winds at Aseb during this time), with mean wind speeds of only 3 m/s to 5 m/s during the rainy season. Therefore, preliminary indications from these spot measurements are that overall mean speed at 10 m. height for the better highland spots is likely to be in the range 5 m/s to 10 m/s. Feasible wind generation sites have mean wind speeds in excess of 6 m/s at 10 meters height. Hence it is likely--but not certain--that feasible wind generation sites exist in the highland passes near the main electricity load in Eritrea. Other sites that show promise based on cursory evaluation and biological indicators include Ma'ereba, Nefasit, and hills near Adi Teklezan.

For highland locations, daily fluctuations in wind energy supply seem to be fairly well correlated with load. Typically in the highlands the winds abruptly begin at 8 am in the morning, reach a moderate value before 10 am, and then gradually increase until 3 p.m., after which they decrease to their low night-time values sometime after 7 p.m. Electricity loads begin earlier than wind power supply, but during most of the day, they appear to be fairly well matched since peak loads are in the midday to evening times as is peak wind. The biggest drawback of wind power supplies may be their low production during the rainy season. There is relatively little seasonal variation in Eritrean electricity demand, and the seasonal variations in wind power will produce a significant mismatch between wind electricity supply and demand.

Whether or not wind generation should be used to supplement power supply in the ICS depends on the location and confirmation of nearby feasible wind generation sites. It is likely, but not certain, that such sites will be found in highland passes in Eritrea. These sites are meteorologically similar to the wind generation sites in California which are created by the airflows generated from sea/land temperature differences of the order of 10° C. Such wind-generating temperature gradients also exist in Eritrea during the dry season. For ICS power development prospecting and verification work for feasible sites in the Central highlands needs to continue.

Meanwhile for components of the SCS in other areas of Eritrea the prospects are mixed. For sites along the Southern Red Sea coast wind electricity seems feasible, and the remaining question is which of the several possible generation sites are best. More studies need to be performed examining the detailed wind distributions both North and South of Aseb to locate the most beneficial sites. In the Southwestern Lowlands, no indications of feasible wind sites have been found, while for the Northern mountains windy passes like those in the Central highlands may very well exist. The Northeastern coastal plains seem clearly unsuitable for wind power development while the far Northwestern lowlands remain unexplored. Therefore components of the SCS which could benefit from wind energy developments include Aseb, and potentially Nacfa. Elements of the SCS in the Central highlands will soon be integrated into the ICS, and hence do not warrant individual wind power development investments. Supplement of the Western components of the SCS with wind power appears less likely since wind speeds appear to be consistently moderate in that region.
 

 3. Wind Systems for Isolated Development Projects Another potential application for wind electricity generation is for isolated development projects. Currently electricity supply for isolated applications is provided by either solar PV systems for small-scale applications or diesel generators for larger scale applications. These applications include power supply for health clinics, village water supply applications, power supply for lighting, and potentially new applications. Some of the other power supply applications may include power supply for ice machines along the coast, water desalination, or power supply for tourist resorts.

For current solar PV applications, the capital cost of the power supply is in excess of $7 per watt of peak supply. Furthermore, the average utilization or capacity factor for such solar systems is approximately 20% of peak supply. In contrast for larger scale wind systems the capital cost of the system is approximately $1 / watt peak supply, while for smaller-scale systems the capital system cost is $3-$10 per watt. The capacity factor large-scale wind systems is about the same: 20% of peak supply for sites with mean wind speed of 6.6 m/s (& mean wind power density of 333 W/m²). Therefore, for good wind sites, wind electric supply may be approximately half the expense of solar systems for small-scale systems.

The constraining factor for small-scale wind applications is the availability of `good' wind sites. A poorer wind site will have a smaller capacity factor than a good wind site. This means that the amount of power actually generated will be a smaller fraction of the rated peak generation capacity. The power generated is approximately proportional to the third power of the mean wind velocity. We can therefore approximately calculate the mean wind speed for sites which will have electricity generation costs which are equivalent to solar PV.

        Vav = 6.6 m/s * ([$3/watt]/[$7/watt])^(1/3) = 5 m/s

Sites with such mean velocities may be found all along the Eritrean coast, at many sites near passes in the highlands and in regions of the Western lowlands. Such sites may exist in regions with predominant wind speeds of 3 m/s which have local topographic features than can accentuate and accelerate prevailing winds. According to Bergey Windpower Co., a major small-scale windturbine manufacturer, feasilbe wind speeds can be as low as 4 m/s.

In order to utilize wind power for small-scale applications, a technical infrastructure for designing, installing, and maintaining such systems would have to be developed. But such wind systems are quite similar to solar PV systems which both provide intermittent power supply. Small scale systems can be purchased which produce 12 V DC power that can be integrated into the solar PV systems using the same batteries, inverters, etc. Small to medium scale wind systems would be especially useful for applications which have an inherent storage capacity such as water pumping or ice production. For these applications the initial capital investment can be reduced by avoiding energy storage costs.

One drawback of such systems is that they require a detailed knowledge of the wind energy resource. Common use of small-scale wind energy would require fairly detailed wind energy mapping in order to guide technicians and designers who would do the design, installation and maintenance of these systems. It may be advisable to install one or two such small-scale wind systems as pilot projects to test the feasibility and benefits of including a wind generation as one of the small-scale energy supply options.

 4. Wind Electricity for Cooking Currently in Eritrea, approximately 80% of national energy consumption is in the household sector, primarily for cooking [Government of Eritrea, 1995]. The most widely-used fuel is biomass (primarily wood, but also dung and crop residues). This is because of the limited distribution of other fuels and their expense. The current policy is to promote LPG as the alternative fuel of choice, and to improve efficiency in the biomass sector. This policy is being pursued first of all because the national biomass energy supply is insufficient to meet national demand (with the consequences of deforestation and environmental degradation). The reason why the use of electricity as a replacement fuel for cooking energy is discouraged is that such electricity use is inherently inefficient. Electricity is generated from imported petroleum fuels and its use has generation, distribution, and cooker inefficiencies (30% generation efficiency, 85% distribution efficiency, and 60% cooker efficiency) that combine to make the overall utilization of petroleum fuels only 15% efficient. Hence direct use of kerosene or LPG for cooking will increase efficiency and decrease cost.

On the other hand, the use of wind-generated electricity changes the comparative advantages of LPG and electric cooking by eliminating the generation inefficiencies for the electric cooking option. With a distribution efficiency of 85% and use efficiency of 60%, the over-all efficiency of wind electricity use in cooking is 50% (or up to 60% if improved electric cookers with insulation and 70% efficiency are used). LPG stoves in contrast probably have cooking efficiencies of the order of 25%-40%. [Note: Cooking efficiencies in boiling water tests for LPG stoves with metal pans is about 60%. Meanwhile LPG enjera cooking applications use a 1.5 cm thick clay cooking plate. Comparison tests between clay and metal cooking pots over a flame conclude that clay cooking pots require almost twice as much fuel as metal cooking pots. Therefore, we conclude that the probable efficiency of LPG enjera cookers is 60% * 0.5 = 30% or less. Soon cooking tests will be conducted on LPG enjera cookers to test this hypothesis.]

Another advantage of using electricity for cooking energy is that in terms of safety and convenience it is the energy source of preference in Eritrea for cooking the traditional bread (enjera).

The question, then becomes, which is most economical? Wind electricity for cooking or LPG for cooking? A rough calculation will show that the two energy supplies are comparable and both are much more cost-effective than wood.

Recent studies of enjera thermodynamics indicate [Negusse, 1996] that for enjera the energy required for cooking is 1.5 MJ/kg for a 60% efficient electric cooker. This means that for a 30% efficient LPG cooker the required energy should be approximately 3.0 MJ/kg and for a 10% efficient wood stove the energy required is 6.0 MJ/kg.

For wind electricity with 85% transmission efficiency and $0.05 /kWh generation cost, the cooking costs is as follows:

            $0.05 /kWh * (1 kWh/3.6MJ) * (1.5 MJ/kg)/0.85 = $0.025/kg

In contrast for LPG, the fuel cost is $0.0087/MJ [Government of Eritrea, 1995] which implies the following cooking cost:

            $0.0087/MJ * 3.0 MJ/kg = $0.026/kg

Meanwhile for wood at 80 Birr/quintal (or $11/100kg and 16 MJ/kg) we have a cost of:

            $0.0069/MJ * 9.0 MJ/kg = $0.062/kg

We summarize these and similar calculations of enjera cooking costs in the following table:
 

TYPE OF SUPPLY COOKING ENERGY COST ($/kg)
 

[* Note: we assume the same ratio of retail to production costs for wind as diesel electricity]

These calculations imply that with respect to retail cost, LPG is the best alternative fuel with wind electric second, diesel electric third and wood being the most expensive. It also indicates that three different strategies for mitigating the wood fuel crisis: LPG substitution, wind electricity substitution, and improved traditional stoves (an increase from 10% to 20% efficiency), are approximately equivalent in terms of final cost.

But it should also be noted that under improved conditions for wind electricity and LPG can provide approximately equal cooking cost reductions of 30% to 50%. Improved conditions for LPG would consist of high-efficiency cookers. Improved conditions for wind might be either technological improvements, an improved wind site (for example with mean wind speed of 8 m/s), or subsidized interest rates on investment and long project life (e.g. 3% interest and a 20 year project life). Under such conditions, the price per kWh may decrease to $0.04 or below. This combined with added insulation in the electric cookers (or improved cooking strategies) that raise cooker efficiencies to 70% [Negusse, 1996] would reduce wind electric cooking costs (of production) to:

$0.04 /kWh * (1 kWh/3.6MJ) *(1.28 MJ/kg)/0.85 = $0.017/kg

For the wind electricity option, the added convenience and safety of the electric cookers might prompt consumers to spend greater amounts of money on electric cooking supplied by wind. This is an option that perhaps should be considered if LPG continues to have distribution safety and supply difficulties, if capital at low interest rates becomes readily available for such projects, or if there are difficulties in obtaining rapid LPG adoption rates.

While such theoretical arguments can provide guidance on evaluating biomass fuel replacement strategies based on LPG and wind electric supply, practical economic and operational comparisons need to be performed through pilot projects. When good wind sites are identified, the government or donors may want to consider a pilot project whereby wind electric generators are installed to provide supplementary electricity for electric mogogo use. In such a project, reduced electricity rates might be charged during periods of peak supply to encourage people to perform their cooking activities at such times. This will help modify the load curve to better match the supply curve on average. The reduced rates will presumably create sufficient demand to produce both a demand and income increase. Then the net income from the increased demand can be compared to the capital investment for the wind generators to see if the project is economically viable. Furthermore, the demand increase can be analyzed to determine how much conversion from other fuels to wind electricity has occurred.

There is one important economic disadvantage of fuel replacement in the home cooking sector. Currently biomass production is a national economic activity where the energy is produced in-country. Converting to either LPG or wind electric will take money that the population is currently paying to national wood and biomass producers and spend it on LPG imports or loan repayments on wind generator investments. Such a change from spending on national production to the purchase of imports or the repayment of loans will adversely affect the balance of payments and make Eritrea more dependent on the international economy. LPG purchases will be a constant drain until Eritrea develops its own sources of oil. Meanwhile if wind investments can be funded through grants or revolving loans, then there might be the possibility of reinvesting funds which are used for capital cost recovery for the wind investments. Capital fund reinvestment could produce a reduced foreign exchange drain in the wind electric case.
 

 C. Wind Power Economics in Eritrea Since we are attempting to develop rational price scenarios for Eritrea, based on prices established from US or European experience, we must account for various factors that could make the price in Eritrea rather different: Most important among them is possible variation in the cost of turbines, land, financing charges on loans (for large projects), labor, and need (or lack there of) for new transmission lines. It is also always true that the cost of wind power produced is very sensitive to the average wind speed at the installation. All of these other factors can vary significantly and are discussed individually below. The approximate distribution of the costs of the different components of a wind generation facility are described in the following tables:

Installation Costs for 50MW Wind Farm
(1995 installation year)

Component Unit cost (1992$/kW)*

Wind turbine 888
Substation 68
Transmission 6
Service Center 5
Land 40
Indirect/Permitting 26
Total 1032

Source: Brower, 1993; Gipe, 1995

*Costs assume a 10.5% financing charge.
 

Installation Expenses for Danish and California Wind Plants
(% of Total Costs)

Zond ELSAM
Turbines             73         68
Foundation         4             9
Installation         4
Roads               3              2
Electrical         10             8
Grid Connection 4             6
Land                                3
Control Building                1
Miscellaneous     2           3
 

The turbine cost is the largest portion of project cost, and fortunately is probably the least uncertain of the component costs. It can be fairly well predicted for a given project. All of these other factors could vary change considerably in the Eritrean context and are discussed individually below.
 

 1. The Effect of Wind speed on Cost Because the power in the wind is proportional to the cube of the velocity, the cost must depend significantly on the average wind speed. Because both the capacity factor and the average annual power output depend upon the nature of the hourly wind speed distribution over the year, the relationship between cost and average annual wind speed can only be approximate. Figure 6 shows the effect of changes in the average annual wind speed on the cost of wind power using the Mod-5B Horizontal Wind Turbine [Spera, 1995] . This figure illustrates the importance of having an accurate wind resource characterization before investing in a wind power plant. An overestimation in the average annual wind speed of 1 m/s could increase the cost by 40%.  2. Variability in turbine costs Generally, the turbine costs will be the best known factor. They are important however because (at least in Europe and the US) turbines typically comprise more than 70% of the total installation costs and wind plants [Brower et al., 1993; Gipe, 1995 ] . In California at times the price charged for the same machine has varied by as much as 80% for machines installed at about the same time in sites with different wind potential (the better the winds commanding a higher premium). Thus, prices for wind machines may be determined individually for each transaction by the market in a somewhat capricious manner.

Another factor that could change the cost per installed watt is the size and type of the wind machine chosen. Prices quoted above were based on approximate averages of US and European experience. The trends in US and European wind machines has been and continues to be toward larger and more complicated machines (>500 W) (variable-speed, upwind machines). These were anticipated to result in substantial cost reductions relative to their simpler single-speed, downwind counterparts, due to economies of scale and because of increases in capacity factors anticipated to accrue from being able to operate over a wider range of wind speeds. Now that there is field-data to analyze, however, it is not clear that those gains have materialized Milborrow, 1996 #20 . Critics claim that, although the variable speed machines can indeed generate over a larger range of wind velocities, their capacity factor is reduced by low availability (repair and maintenance) and inability of the active-yaw system to track the wind rapidly enough given their enormous inertia.

These larger more complicated machines may well not be appropriate in the Eritrean context. Transportation and installation requirements are more demanding and costly, requiring larger cranes and larger and better highways, and greater technical expertise. Furthermore, for smaller plant capacities, smaller (100 - 200 kW) machines are more appropriate since they can offer redundancy by incorporating a larger number of machines thereby reducing output variability if one machine is out of service. These simpler systems may also require less maintenance.

An important question is whether these smaller machines will have higher installed costs because of the lost opportunity of economies of scale? The following data from Gipe (1995), organized only by size of machine, suggest there will be little cost compromise from using smaller machines.
 

Typical Wind System Installed Cost

Rotor diameter (m) kW Approx. installed cost $/W

Microturbines
1     0.25     $2,500     $10.00
2     0.75     $5,000     $6.67

Small Turbines

3     1.5     $10,000     $6.67
7     10     $30,000     $3.00

Medium-Sized Turbines

18     100     $125,000     $1.25
25     200     $250,000     $1.25
35     400     $500,000     $1.25
40     500     $600,000     $1.20

 Although economies of scale are clearly apparent in the microturbines and small turbines, at about 100 kW these economies of scale fall off, so that the smaller medium-sized turbines produce almost as cost-effectively as their large cousins. Furthermore, Gipe (1995) cites many individual examples of German wind turbines for which the price per kW is actually less for the smaller turbines (80 - 100 kW) than for their larger 450 - 500 kW counterparts. Production and field data are not available for the new generation of 1MW and larger machines being designed in Europe. Therefore, no relevant cost comparisons can currently be made.
 

 3. Land costs Data suggest that land costs, have not been an enormous contributor to the price of wind-energy in the US. In Altamont pass land rental is paid as a fixed 4% of the price of electricity generated. From the data in the tables above, land costs were less than 5% of installation costs. Therefore, we can conclude that energy-costs savings from likely low land costs in Eritrea will not offer a very substantial savings relative to current costs estimates based on US and European experience. 4. Financing costs Financing charges can vary substantially. Gipe (1995) reports a range of financing rates form 3.3%/yr in Germany to 10.1%/yr in Great Britain. Financing charges on wind projects for private utilities in California was reported as 10.5%/yr (Brower et al.1993). The far extreme is the possibility of interest free loans or grants to develop small projects. Since approximately 80% of wind generation costs are capital costs, financing rates will have the biggest impact on wind energy development costs in Eritrea. Loan repayment costs depend on both the interest rate and the project lifetime. The present value or effective cost of the loan repayment also depends on the rate of inflation: the higher the rate of inflation the lower the present value of the loan repayment costs.

We summarize the effect of interest rate and project lifetime on loan repayment costs in the following table. These calculations assume an inflation rate of 0%, and provide results in terms of loan repayment costs per kWh of wind electricity produced. The calculation assumes that the capital costs of project equipment, installation and land acquisition are $1200 per kWh, and that the capacity factor for the wind turbines is 0.28.
 

Interest Rate Project Life (years) Repayment Cost ($/kWh)
2%     10     0.054
2%     20     0.030
3%     10     0.058
3%     20     0.032
6%     10     0.066
6%     20     0.042
10%   10     0.080
10%   20     0.058

The final cost of energy will also depend on operation and maintenance costs. Operation and maintenance costs in California wind farms has been between 0.5 cents and 1.7cents/kWh averaging around 1cents/kWh (this is about half the cost of operation, maintenance and fuel for nuclear and coal plants, and about one third of the cost of the same for gas plants). Costs are similar in Europe.

More research needs to be done to determine what fraction of US and European-based installation and operation and maintenance costs are from labor. Those costs, which are usually substantial in the US and Europe, should be lower in Eritrea, and might result in substantial cost savings. In addition any components, such as wind towers, that might be manufactured locally could further reduce costs. In the long-term, if manufacture and production of other wind turbine parts are localized, further cost reductions should accrue. Studying the cost breakdowns for the new wind developments in China and India will be instructive.
 

In reality because of the uncertainties in wind speeds, cost estimates at this stage are highly unreliable. But assuming that the data providing 10 m wind measurements be ships passing through the Red Sea are reliable we can provide the rough cost estimates. Experience with wind power in California and Denmark indicates that for a wind power density of 450 W/m², the capacity factor for the wind turbines is approximately 0.25. Using the estimated power density at Aseb of 511 W/m², we can estimate the turbine capacity as (511/450)*0.25 = 0.28. Using this capacity factor, we can estimate wind power costs for two project scenarios: the first is a project with new turbines, a turbine lifetime of 20 years and maintenance and operational costs of $0.010 per kWh:
 

Project #1: New Wind Turbines
Capital Costs $1200/kW
Maint. & Oper. $0.010/kWh
Interest Rate 3%
Project Lifetime 20 years
Cost of Electricity $0.052/kWh

Alternatively, we can consider the project costs using reconditioned wind turbines which cost approximately 1/3 the price of new turbines [Zond, verbal price quote for 80 KW Vestas turbines]. We can presume that the project life would be shorter (10 years) and maintenance costs may be higher ($0.015/kWh). The the following table describes project costs:

Project #2: Reconditioned Wind Turbines
Capital Costs $ 400/kW
Maint. & Oper. $0.015/kWh
Interest Rate 3%
Project Lifetime 10 years
Cost of Electricity $0.034/kWh

Apparently under this scenario the cost of electricity is much lower though using reconditioned turbines may entail additional risks and jeapordize the attainment of loans.

A south coast project that is constructed at Id should according to the data have a significantly higher capacity factor. It is estimated that with a 30% higher wind power density, the cost of electricity would be proportionally lower. This would correspond roughly to a cost of electricity of $0.039/kWh and $0.028 respectively for projects #1 and #2, though these estimates do not account for the added cost of transmission facilities.

 V. FUTURE WORK The current report describes the results of the preliminary wind energy resource assessment work for Eritrea, and provides background information regarding wind energy development. These results indicate a promising wind energy resource that could be exploited at a variety of scales.

In the near term, the wind prospecting and site identification will continue, wind energy policy goals will be defined, and the pilot project will be initiated. In the longer term, wind resource development will proceed according to the process illustrated in the Schematic for Wind Resources Development in Eritrea. The near-term steps are described below.

 A. Wind Energy Policy Goals As wind energy development proceeds to the project formulation phase, it is important for Eritrean planners to specify the goals and criteria for evaluating wind energy developments. Identification of wind energy development goals will aid in the optimization of project parameters to meet these goals. Perhaps a series of seminars or discussions should be held amongst Eritrean energy planners in order to formulate or confirm the goals and criteria for the wind energy development program. Policy questions may include the following: I. Against which competing options and with which assumptions should utility-scale wind generation be evaluated? Is the main competing option diesel-generated electricity with present fuel costs and a range of financing charges? How should environmental and energy security concerns be incorporated into the comparison?

II. If wind generated electricity is to be considered as a substitute fuel for wood, against which energy options should it be judged? Current wood use or future LPG use? Should wind electricity projects for household cooking be evaluated in terms of their marketability at a particular rate of return? Or, should some combination of these factors be used, and if so, what weights shall be assigned to different criteria?

III. If wind power is to be considered for small-scale projects, should they be evaluated simply in comparison to comparable solar projects? How should reliability, technical support requirements, and social acceptability be included in the project evaluation?

Once questions similar to these are clearly answered, informed choices can be made to select and design pilot projects with the greatest returns, the efforts of the resource assessment can be prioritized according to the evaluated needs of society, and planning for wind power development can commence.

Additional research may be useful for informing policy makers and for developing an optimal technical and institutional infrastructure to support wind energy development in Eritrea. In order to assure the sustainability of wind energy development, a study of the organizational structure required to support utility-scale wind capacity, including an analysis of training and staffing requirements needs to be determined. Also an analysis of the experience of current wind energy development in China and India, will be usefuo to wind project planners and staff. Furthermore, an analysis of the operations and maintenance history of medium-sized utility-scale wind machines will help facilitate low-risk investments in Eritrean wind power.
 

 B. Site Assessment Wind site prospecting using the current combination of meteorological analysis, satellite image interpretation, and ground survey techniques should continue. The ground survey and wind prospecting program should probably be institutionalized with specific staff assignments along with defined prospecting and monitoring procedures .

After several more months of prospecting work and data collection, an evaluation report will be written with an update on the specific sites that have been identified. This report will also include a compilation of the field data that has been collected. Copies of the report will be distributed to the relevant branch ministries .

The sites that are most promising for accommodating wind power applications, as deemed by the Eritrean energy planners, should have a ground-based evaluation of local wind distributions performed. These evaluations should consist of two teams of data collectors: one team remains at a reference location while the other team samples wind speeds at representative locations in the same locale in order to find the best location for the site evaluation instruments .

In late 1996 or early 1997, the detailed site assessment program with automated data logging equipment will begin. At this stage, at least five promising sites should be identified for further monitoring both in the highland passes and on the Southern coast. Arrangements for installation, security, maintenance, and monitoring of the data collection equipment should be arranged with local and regional authorities. Procedures for station monitoring, and maintenance need to be developed. Monitoring activities will adhere to international sampling standards to ensure maximum reliability for the utility or prospective investors. Similarly, a data processing and distribution system needs to be established and institutionalized. Site monitoring should continue for at least one year, with perhaps a longer monitoring period for better sites. After one year, equipment installed at some of the sites can be relocated to other locations as part of a continuing site evaluation program .

During the site selection and data collection phases, other factors important for site evaluation can be considered. These include ease of access, distance to transmission and distribution facilities, logistical impediments to maintenance and technical support, land use and land availability, security, and local community reactions and concerns regarding wind energy development .
 

 C. Pilot Project Formulation The final decision on pilot project implementation necessarily will have to wait until the site assessments are complete. But as site evaluation awaits the year of data collection, pilot project formulation will proceed simultaneously. The formulation and implementation of a pilot utility scale electricity generation project will require a minimum of a US$ 100,000 investment (and more likely a US $300,000 investment). A pilot project of this scale requires careful preparation and planning in order to be successful. Essential steps in pilot project formulation and implementation include the following: 1. Collection of cost and performance data from wind turbine manufacturers.
2. Collection of cost and demand information regarding current electricity generation and fuel use.
3. Preliminary Project Design
4. Formulation of Project Evaluation Criteria.
5. Development of Project Financing Options
6. Formulation of Project Organization Chart and Operational Procedures
7. Hiring and Training of Project staff
8. Finalization of Project Design
Steps 1 and 2 can be initiated immediately. Meanwhile step 3 requires preliminary information from steps 1 and 2 and more accurate wind data. Step 4, the development of project evaluation criteria, will require a clarification of Eritrean wind energy development objectives. Step 5 is performed by the higher-level personnel from the Ministry of Energy, Mines, and Water Resources through negotiations with foreign aid agencies. Step 6, is necessary to assure that acquisition of sufficient human resources is included in project planning. Step 7 needs to be initiated before project implementation begins because of the degree of training and orientation that will be required for introduction of such a new technology. Step 8 will be performed once sufficient data are collected for the sites under consideration.  D. Summary of Future Work In summary, based on the promising results obtained from a preliminary resource assessment, wind power appears to be a potentially beneficial future source of energy for Eritrea. In order to realize this potential, the following work needs to be pursued:

 

COMPLETION OF THE PHYSICAL RESOURCE ASSESSMENT
 DEVELOPMENT OF PROVISIONAL WIND ENERGY DEVELOPMENT PRIORITIES
DETAILED PROJECT SITE ASSESSMENT
DESIGN, FORMULATION, AND PREPARATION OF PILOT PROJECTS

 If these four activities are actively pursued over the next two years, Eritrea will soon be in a good position to take advantage of its indigenous wind energy resources in a rational, effective, and efficient manner.
 

APPENDIX B: PRELIMINARY SPOT MEASUREMENT RESULTS

During the past six months a moderate intensity effort to make ground measurements of wind speeds at a wide range of locations is being pursued. At the initial stages the only available measuring device has been a pivoted flap anemometer. And later two used cup anemometers were acquired. The cup anemometers produce an AC output voltage that is proportional to the wind speed. These anemometers were calibrated relative to a newly acquired anemometer that was installed with a meteorological data logging station at the Energy Center in Asmara. No adjustments were made for altitude. Calibrations were performed at 2300 m.

Approximately 15 locations in the highlands have been examined with spot measurements with most sites being visited only once. Most sites have only moderate wind speeds. But several sites showed promising signs of either high winds speeds, biological indicators of high winds or both. These sites include: the pass at Dekemhare, the valley near Ma'ereba, hills near Adi Teklezan, and the pass at Nefasit. Dekemhare, Ma'ereba, and Nefasit have trees with flagging and have been observed to have winds of approximately 10 m/s in the afternoon during the dry season. The hills near Adi Teklezan have trees with flagging. Below we discuss the results of measurements near Dekemhare in more detail.

In February a series of measurements were made with the flap anemometer at locations between 30 and 50 km south of Asmara. These measurements indicated afternoon wind speeds of 10 m/s or above in two areas: near Dekemhare and near Ma'ereba. Both locations had abandoned windmills for water pumping that were installed during Italian colonial times in the 1930's. The measurements were not adjusted for altitude.

On 17 March 1996, a series of follow-up measurements were made in the Dekemhare area which indicated wind speeds of 8 m/s to 15 m/s from 11 a.m. to 4 p.m. in the afternoon.

Site #1 Site #2

Time Wind Speed Time Wind Speed
(hr:min) (m/s, 5 min mean) (hr:min) (m/s)
11:05     9.8     12:03     10.1
11:18     8.8     12:33     11.9
13:08     8.7     16:15     11.7
15:38   10.3     16:25     14.7
16:57     10.3

These measurements were taken at 2.5 m height with a flap anemometer. Both sites are on top of a hill or ridge. Winds were from the North. Adjustments were made for measurement bias from the anemometer, but no adjustments were made for altitude (such adjustments would increase the wind speed estimates).

Of course such measurements should be interpreted with caution, but the high wind speeds were supported by nearby biological indicators which included eucalyptus trees with complete flagging (no medium-sized branches on the upwind side of the tree). Furthermore, statistical analysis of temporal wind speed variations (Yosief, 1996) indicate that wind speeds in Eritrea have a highly periodic daily cycle. For Asmara, the nearest station with detailed data, the root mean square difference between a periodic wind signal and two-hour average wind data is 40% of the mean wind speed and less than 25% of the average daily peak wind speed. Therefore our estimate of the daily peak wind speed for site #2 is 12 m/s, with an error of this estimate of approximately 25% (4 m/s). For Asmara, the meteorological station closest to Dekemhare, mean peak daily wind speeds are approximately 1.7 times the average wind speed. If we assume that the same holds true for site #2 near Dekemhare, then our measurements indicate a mean wind speed of approximately 5 m/s to 9.5 m/s during the dry season. Note that along the Southern coast during the dry season, mean wind speeds are in the range of 7 to 9 m/s.

Another series of spot measurements were taken for site #2 near Dekemhare on 4 June, 1996. This was a rainy day in the highlands, and the meteorological conditions were those of the rainy season with winds from the South. The data were taken with a calibrated cup anemometer at 3.5 m height. This series of measurements yielded the following:
 

Site #2

Date: 04 June 1996 Date: 05 June 1996

Time Wind Speed Time Wind Speed
(m/s) (m/s)
15:00-16:00 5.2 07:00-08:00 2.7
16:00-17:00 6.2 08:00-09:00 5.1
17:00-18:00 6.1
18:00-19:00 5.6
19:00-20:00 5.6
22:00-23:00 3.8

It should be noted that the wind was observed to be quite calm before 7:24 am on 05 June, and at this time the wind speed abruptly picked up. If one takes this data, plots it over a 24 hour cycle, and uses linear interpolation (fixing the speed at about 0.5 m/s at 7:20 am) one obtains an average wind speed of approximately 4 m/s. This indicates that the mean wind speed during this time is between approximately 3 m/s and 5 m/s during this period, or slightly higher than Asmara. Comparison of this data with observations at 12 m height in Asmara at the same time indicated that the observed wind speeds were 15-30% higher than speeds at 12 m height in Asmara.

 The decrease in wind speed during the highland rainy season is mirrored by the decrease in wind speeds along the Southern coast where mean winds are approximately 3-4 m/s at this time.

Overall, these data indicate a promising potential at the Dekemhare location with an estimated annual mean wind speed of approximately 6.5 m/s at approximately 3 meters height. We expect winds farther above the ground to be significantly stronger indicating a potentially excellent wind site. But the errors in these measurements are large and many more measurements need to be taken before  conclusions about site potential can be made.

  [end of report]