THERMO-ECONOMIC SIMULATION OF FOUR POWER GENERATIONS BASED ON GENETIC ALGORITHM

doi:10.2298/TSCI211102027L

GIEC OpenIR

	THERMO-ECONOMIC SIMULATION OF FOUR POWER GENERATIONS BASED ON GENETIC ALGORITHM
	Luo, Chao1,2,3
	2022
发表期刊	THERMAL SCIENCE
ISSN	0354-9836
卷号	26 期号:4 页码:3255-3269
通讯作者	Luo, Chao(luochao@hzu.edu.cn)
摘要	The thermodynamic and economic suitability of four geothermal power systems is analyzed. When the heat source temperature ranges from 100-150 degrees C, the per-formance indicators of power capacity per unit geo-fluid, exergy efficiency, pay-back period, net present value and internal rate of return for four types of the power system are calculated. The results show that when the heat source temper-ature increases from 100-150 degrees C, the power capacity per unit geo-fluid for single flash, organic rankine cycle (ORC), double flash, and flash-ORC system increas-es from 2.26-7.72 kWh/t, 2.05-8.37 kWh/t, 2.96-9.96 kWh/t, and 2.76-9.82 kWh/t, respectively, and the performance indicators of two-stage energy conversion sys-tems are better than single systems. R245fa is selected as the working fluid based on anti-scaling and better performance. When the heat source temperature is 130 degrees C, the payback period, net present value and internal rate of return of flash-binary power system are six years, 2508000 US$ and 16.09%, respectively. The research shows that, unlike the single objective optimization of the two power systems, the multi-objective feasibility analysis is a technical integration innovation of the exist-ing research. The research can provide technical support for power construction and realize the sustainable development of clean energy in China.
关键词	geothermal power generation flash binary flash-binary numerical simulation exergy
DOI	10.2298/TSCI211102027L
关键词[WOS]	ENERGY ; OPTIMIZATION
收录类别	SCI
语种	英语
资助项目	Science and Technology Planning Project of Huizhou, Guangdong province[2020SD0401029] ; University Characteristic Innovation Project of Department of Education of Guangdong Province[2020KTSCX143] ; Indigenous Innovation's Capability Development Program of Huizhou University[HZU202002]
WOS研究方向	Thermodynamics
项目资助者	Science and Technology Planning Project of Huizhou, Guangdong province ; University Characteristic Innovation Project of Department of Education of Guangdong Province ; Indigenous Innovation's Capability Development Program of Huizhou University
WOS类目	Thermodynamics
WOS记录号	WOS:000833183200037
出版者	VINCA INST NUCLEAR SCI
引用统计
文献类型	期刊论文
条目标识符	http://ir.giec.ac.cn/handle/344007/37002
专题	中国科学院广州能源研究所
通讯作者	Luo, Chao
作者单位	1.Huizhou Univ, Sch Architecture & Civil Engn, Huizhou, Peoples R China 2.Tianjin Univ, Key Lab Efficient Utilizat Low & Medium Grade Ene, Minist Educ, Tianjin, Peoples R China 3.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou, Peoples R China
第一作者单位	中国科学院广州能源研究所
推荐引用方式 GB/T 7714	Luo, Chao. THERMO-ECONOMIC SIMULATION OF FOUR POWER GENERATIONS BASED ON GENETIC ALGORITHM[J]. THERMAL SCIENCE,2022,26(4):3255-3269.
APA	Luo, Chao.(2022).THERMO-ECONOMIC SIMULATION OF FOUR POWER GENERATIONS BASED ON GENETIC ALGORITHM.THERMAL SCIENCE,26(4),3255-3269.
MLA	Luo, Chao."THERMO-ECONOMIC SIMULATION OF FOUR POWER GENERATIONS BASED ON GENETIC ALGORITHM".THERMAL SCIENCE 26.4(2022):3255-3269.