Thermo-economic simulation of four power generations based on genetic algorithm

The thermodynamic and economic suitability of four geothermal power systems is analyzed. When the heat source temperature ranges from 100-150?C, performance indicators capacity per unit geo-fluid, exergy efficiency, payback period, net present value internal rate return for types system are calculated. results show that when increases geo-fluid single flash, organic rankine cycle (ORC), double flash-ORC 2.26-7.72 kWh/t, 2.05-8.37 2.96-9.96 2.76-9.82 respectively, two-stage energy conversion better than systems. R245fa selected as working fluid based on anti-scaling performance. 130?C, flash-binary six years, 2508000 US$ 16.09%, respectively. research shows that, unlike objective optimization two systems, multi-objective feasibility analysis a technical integration innovation existing research. can provide support construction realize sustainable development clean in China.