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32. The screening curve provides a first approximation towards selecting different types of power plants, particularly when choosing among alternatives which can operate throughout the capacity factor range, which is not the case with renewables such as wind. The ideal combination theoretically lies on the lower envelope of the different alternatives as shown on the dotted line in Figure 8. 33. The screening curve also provides a first approximation to the dispatch of different resources under the load duration curve11, as shown in Figure 9. The resulting distribution of capacity may not be feasible, e.g. there may not be enough geothermal capacity available to cover the whole generation band assigned to it, whereas there may be excess hydro capacity. More detailed production costing and optimization programs are required to deal with these complexities. However, following this approach shows how geothermal can be competitive and complement other sources of generation despite its high upfront cost. Figure 9: Reflection of Screening Curve on the Load Duration Curve and Possible Dispatch Load (MW) Combustion Turbine FO#4 CT capacity Large hydro Hydro capacity Geo capacity Geothermal 34. Another option for analyzing the data of Table 11 is to examine the average cost per kWh for different capacity factors, as shown in Table 12 and its corresponding Figure 10. Geothermal has a high cost for low plant factors which decreases and becomes the lowest cost per kWh when plant factor becomes higher than around 80 percent. 11 The load duration curve is a normalized representation of the system load curve by which loads are ‘stacked’ according to how many hours they are present in the system. Capacity Factor 10% 20% 30% 40% 50% 60% 70% 80% 90% 17PDF Image | Drilling Down on Geothermal Potential Central America
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