Multi-objective optimization of Binary Flashing Cycle (BFC) driven by geothermal energy

doi:10.1016/j.applthermaleng.2019.114693

GIEC OpenIR

	Multi-objective optimization of Binary Flashing Cycle (BFC) driven by geothermal energy
	Wang, Lingbao ; Li, Huashan; Bu, Xianbiao1
	2020-02-05
发表期刊	APPLIED THERMAL ENGINEERING
ISSN	1359-4311
卷号	166 页码:8
通讯作者	Bu, Xianbiao(buxb@ms.giec.ac.cn)
摘要	The binary flashing cycle (BFC) has been demonstrated to be a promising technology for geothermal energy utilization due to higher net power output. Considering both thermodynamic and economic factor simultaneously, the multi-objective optimization on the BFC has been investigated using non-dominated sorting algorithm-II. Two conflicting objectives including net power output and heat exchanger area of the system are taken into account to build a set of Pareto optimal solutions. The results show that the system achieve the maximum net power output with maximum heat exchanger area, and the minimum net power output with the minimum heat exchanger area. The relationships between the net power output and heat exchanger area in the Pareto frontier solution are fitted. TOPSIS method (Technique for Order Preference by Similarity to Ideal Situation) is applied to select the final solution on the Pareto frontier. The effects of weight factor for net power output on the objectives and decision variables have also been investigated, which are good references to the decision makers. The recommended weight factor for net power output is in the range of 0.1-0.6.
关键词	Geothermal energy Binary flashing cycle Multi-objective optimization Non-dominated sorting genetic algorithm II TOPSIS method
DOI	10.1016/j.applthermaleng.2019.114693
关键词[WOS]	ORGANIC RANKINE CYCLES ; OFF-DESIGN PERFORMANCE ; WORKING FLUIDS ; SELECTION
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2018YFB1501805] ; Natural Science Foundation of Guangdong Province[2018A030313018] ; Youth Innovation Promotion Association, Chinese Academy of Sciences[2017402]
WOS研究方向	Thermodynamics ; Energy & Fuels ; Engineering ; Mechanics
项目资助者	National Key R&D Program of China ; Natural Science Foundation of Guangdong Province ; Youth Innovation Promotion Association, Chinese Academy of Sciences
WOS类目	Thermodynamics ; Energy & Fuels ; Engineering, Mechanical ; Mechanics
WOS记录号	WOS:000512220900077
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.giec.ac.cn/handle/344007/26350
专题	中国科学院广州能源研究所
通讯作者	Bu, Xianbiao
作者单位	1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China 2.CAS Key Lab Renewable Energy, Guangzhou 510640, Peoples R China 3.Guangdong Prov Key Lab New & Renewable Energy Res, Guangzhou 510640, Peoples R China
推荐引用方式 GB/T 7714	Wang, Lingbao,Li, Huashan,Bu, Xianbiao. Multi-objective optimization of Binary Flashing Cycle (BFC) driven by geothermal energy[J]. APPLIED THERMAL ENGINEERING,2020,166:8.
APA	Wang, Lingbao,Li, Huashan,&Bu, Xianbiao.(2020).Multi-objective optimization of Binary Flashing Cycle (BFC) driven by geothermal energy.APPLIED THERMAL ENGINEERING,166,8.
MLA	Wang, Lingbao,et al."Multi-objective optimization of Binary Flashing Cycle (BFC) driven by geothermal energy".APPLIED THERMAL ENGINEERING 166(2020):8.