Examining the feasibility of a bi-evaporator cooling/electricity cycle: A comprehensive analysis of thermodynamic, economic, and environmental aspects, and bi-objective optimization

doi:10.1016/j.psep.2023.06.067

	Examining the feasibility of a bi-evaporator cooling/electricity cycle: A comprehensive analysis of thermodynamic, economic, and environmental aspects, and bi-objective optimization
	Kuang, Mo 1; Kuang, Da2 ; Salah, Bashir 3; Van Khai, Khieu 4
	2023-09
发表期刊	PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
卷号	177 页码:598-616
摘要	Although geothermal energy is generally considered benign, it still has its share of problems, including the emission of greenhouse gases that harm the environment. To make informed decisions about geothermal systems, it is imperative to study their environmental impacts. This study uses six approaches to propose and analyze an innovative geothermal-driven bi-evaporator cooling/electricity plan. The proposed efficient design is made of a single-flash cycle and the integration of a modified vapor compression cycle and ejector cooling system assisted by a thermoelectric power generator device. Exergoenvironmental and extended-environmental assessments are performed to examine the environmental impacts of the current devised scheme, including calculating CO2 emissions rate and sustainability index. The suggested plan's performance in the basic design mode using 14 various working fluids showed that R143m had the highest exergetic efficiency, lowest exergoenvironmental index, and lowest cost of production at 35.9%, 0.6002, and 24.67$/GJ, respectively. This working fluid was used for parametric study and bi-objective optimization, which revealed that the vapor generator destroys 157.7 kW of exergy at the optimal point. Additionally, the vapor turbine is the most expensive component at 14.44$/h. Pareto frontier also indicates that the final chosen optimal mode (scenario C) has 27.02% energetic efficiency and 21.33$/GJ production cost, which are higher than the base scenario by 12.55% and 15.66%, respectively. In addition, the optimal scenario reduces the payback period to 8.64 years from 15.68 years in the base scenario.
关键词	Bi-evaporator cooling electricity cycle Exergoeconomic Exergoenvironmental Payback period Pareto frontier
DOI	10.1016/j.psep.2023.06.067
收录类别	SCIE ; EI
ISSN	0957-5820
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Environmental ; Engineering, Chemical
WOS记录号	WOS:001046890200001
出版者	ELSEVIER
EI入藏号	20233014433768
EI主题词	Cooling
EI分类号	451.1 Air Pollution Sources ; 454.2 Environmental Impact and Protection ; 481.3.1 Geothermal Phenomena ; 615.1 Geothermal Energy ; 641.2 Heat Transfer ; 802.1 Chemical Plants and Equipment ; 911 Cost and Value Engineering ; Industrial Economics
原始文献类型	Article
EISSN	1744-3598
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/35165
专题	马克思主义学院
通讯作者	Kuang, Da
作者单位	1.Guangdong Univ Foreign Studies, Airport Econ Res Ctr, South China Business Coll, Guangzhou 510545, Guangdong, Peoples R China; 2.Lanzhou Univ Finance & Econ, Sch Marxism, Lanzhou 730101, Gansu, Peoples R China; 3.King Saud Univ, Coll Engn, Dept Ind Engn, POB 800, Riyadh 11421, Saudi Arabia; 4.Vietnam Natl Univ, Univ Sci, Fac Environm Sci, 334 Nguyen Trai Rd, Ha Noi City, Vietnam
通讯作者单位	兰州财经大学
推荐引用方式 GB/T 7714	Kuang, Mo,Kuang, Da,Salah, Bashir,et al. Examining the feasibility of a bi-evaporator cooling/electricity cycle: A comprehensive analysis of thermodynamic, economic, and environmental aspects, and bi-objective optimization[J]. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION,2023,177:598-616.
APA	Kuang, Mo,Kuang, Da,Salah, Bashir,&Van Khai, Khieu.(2023).Examining the feasibility of a bi-evaporator cooling/electricity cycle: A comprehensive analysis of thermodynamic, economic, and environmental aspects, and bi-objective optimization.PROCESS SAFETY AND ENVIRONMENTAL PROTECTION,177,598-616.
MLA	Kuang, Mo,et al."Examining the feasibility of a bi-evaporator cooling/electricity cycle: A comprehensive analysis of thermodynamic, economic, and environmental aspects, and bi-objective optimization".PROCESS SAFETY AND ENVIRONMENTAL PROTECTION 177(2023):598-616.