Updated U.S. geothermal supply curve

Original publisher: Golden, CO : National Renewable Energy Laboratory, [2010] OCLC Number: (OCoLC)607919345 Subject: Geothermal resources -- United States. Excerpt: ... by GETEM for the target case using GIS mapping methods. For each point on the map, the LCOE for Optimum Deep EGS Resource Depth the deep-EGS resources at depths from 3-10 km ( in The supply curve analysis assumes that deep EGS 1-km increments ) were compared, and the 1-km thick resources can be developed at all depths at a given slice with the minimum LCOE was selected. The location. If a deep EGS resource is developed at one results were used to create a map to illustrate the depth in a given location, the supply curve does not location of the most cost-effective regions for remove the resource at the remaining depths in that developing the deep EGS resource based on the location from potential development; it assumes that analysis in this study. Regions were grouped by if a reservoir is artificially created at 4-km depth, favorability, with regions having the lowest LCOE another reservoir could still be developed at the same being the most favorable and those having the highest location at 5 km, 6 km, 7 km, and so on. Given the being the least favorable. By grouping the data, the current state of the technology, this type of transition between resources is smoothed and the development is unlikely. The most-economical deep classification generalized, so that the results should EGS resource based on the temperature vs. depth apply even with variations in some of the underlying profile at a location is most likely to be developed, costs or assumptions used in this study. The location and its presence would preclude the development of of the identified hydrothermal sites ( and hence the the remaining resource in that location for the assumed near-hydrothermal field EGS resource ) was lifetime ( assumed to be 30 years ) of the power plant. also included. The resulting map, shown in Figure 7, neatl...