Design and experimental research on the combined flash-binary geothermal power generation system driven by low-medium temperature geothermal system

Abstract

To match for the different temperature of the geothermal resource and strengthen the flexibility of organic Rankine cycle, a variable capacity power generation superstructure based on flash and organic Rankine cycle for geothermal energy was proposed. A combined flash-binary experimental prototype is newly established to investigate thermodynamic performance both on system and equipment in this paper. Pressured hot water is adopted as the extensive worldwide existed hydrothermal geothermal resource, eliminating the influence of the used heat transfer oil on evaporating process. The experimental results show that there is an optimal mass-flow rate of R245fa under the condition of different heat source temperature. Flash and binary power subsystem dominate the flash-binary power system, respectively, when the heat source temperature is 120 ℃ and 130 ℃. The isotropic efficiency of modified compressor just between 0.2 and 0.25. The power output of per ton geofluid are 0.78 kWh/t and 1.31 kWh/t, respectively, when the heat source temperature are 120 ℃ and 130 ℃. These results will predict the operation data of flash-binary power plant driven by the low-medium temperature geothermal water for construction in western of China.

Exploring Medium and Low-Temperature Convective Geothermal Resources Through Controlled Source Audio Magnetotelluric Mothod

“…Based on the results of the aforementioned processing, a frequency-apparent resistivity contour map is generated and a further 2D inversion operation is performed to generate the corresponding cross-sectional map for the analysis of the detection area. The geomagnetic method takes full account of the differences in resistivity parameters, and the differences in this metric are used to delineate stratigraphic boundaries and geological formations and to determine the distribution of thermal reservoirs [17]. By collecting data and synthesizing geological information, we are able to make more systematic inferences about the distribution of geothermal resources, thus deepening our understanding of subsurface thermal resources.…”