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G. E. V. A. : Geothermal electricity venture analysis model

Journal Article · · Geothermics; (United States)
The Monte Carlo technique is a powerful method for quantifying the various risks in geothermal development. G.E.V.A. uses this method to allow users to realistically estimate the range of costs to be expected in geothermal electricity development. Such risk analysis offers a number of distinct advantages over the conventional single estimate approach: (1) Risk is made explicit: the uncertainty perceived in the resource estimates are incorporated directly into the cost analysis. Knowledge of both the most likely outcome as well as the range of possibilities helps to create a more rational and informed decision-making process. (2) Variability of outcome is measured: the dispersion in the possible outcome is estimated. Other things being equal, lower variability in the estimated cost of power is desirable. (3) Promotes better decisions: the simulation approach requires more judgment in estimating the values for the uncertain elements in the investment. Recognizing what is known and not known with regard the resource, leads to a more careful analysis. The most likely value for each uncertain parameter along with the range of possible values are input. Results are given in terms of the levelized cost in mills/kWh for which the geothermal electricity can be produced. A mean value is computed along with range of possibilities and their relative chance. Solution for a two hundred sample run takes only about twenty minutes on an IBM personal computer. Use of a fast structured code, such as C-language, using the 8087 match co-processor could reduce the runtime by an order of magnitude. G.E.V.A. is a useful tool for geothermal assessment. It provides improved insight into the economics of high temperature geothermal resources for investment decisions.
Research Organization:
Precision Energy, P.O. Box 243, Helena, MT 59624
OSTI ID:
6060623
Journal Information:
Geothermics; (United States), Journal Name: Geothermics; (United States) Vol. 16:1; ISSN GTMCA
Country of Publication:
United States
Language:
English