Abstract
A mixed methods approach with an embedded case study was used to develop a decision-making model for generating up to 2,489,116 GW of clean renewable energy. The case study site was an abandoned underground iron ore mine located within one of the largest natural park-preserves in the USA. The research included a literature review, comparative field research, data collection from the site, and parametric statistical techniques. A novel concept was to harness readily available geothermal hot dry rock heat in the lower reservoir over 1.2 km below the surface to lower the water density and reduce return-flow gravitational resistance in order to increase overall system efficiency. An operational risk factor was estimated by reference to 37 comparable pumped hydro plants. Normality tests were used to determine the underlying distribution, and a simulation was executed with 1000 iterations to estimate operational certainty. The inferential model was statistically proven to be likely to occur 95 out of every 100 years, based on the case study.
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