Optimizing solar-driven multi-generation systems: A cascade heat recovery approach for power, cooling, and freshwater production

doi:10.1016/j.applthermaleng.2023.122214

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	Optimizing solar-driven multi-generation systems: A cascade heat recovery approach for power, cooling, and freshwater production
	Zhu, Chaoyang 1,2,3,4; Wang, Mengxia 2,3,5,7,8; Guo, Mengxing 9; Deng, Jinxin 2; Du, Qipei 2; Wei, Wei 10; Zhang, Yunxiang 5,6,10; Talesh, Seyed Saman Ashraf 11
	2024-03-01
发表期刊	APPLIED THERMAL ENGINEERING
ISSN	1359-4311
卷号	240
摘要	The pursuit of an optimal solution for performance is essential in ensuring that a solar-driven multi-generation system functions efficiently. Due to the vast amount of solar power received by such systems, the production of significant waste heat ensues. Therefore, this study aims to propose and optimize a new cascade heat recovery method for a solar system that generates power, cooling, and freshwater. The designed configuration encompasses a parabolic trough solar collector to supply the required input energy of integration of a dual-pressure organic Rankine cycle with an ejector refrigeration cycle and an integration of a steam power cycle with a thermal vapor compression- multi-effect desalination. Employing both thermodynamic and economic assessments leads to attaining the performance indexes, which are involved in the optimization procedure. The outcomes of the simulation reveal that the net power, cooling, and freshwater productions are attainted at about 12.56 MW, 2.01 MW, and 138.3 kg/s. Also, the mass fraction 0.5-0.5 is an ideal composition for the highest values of net power and exergy efficiency, and these indexes are highly sensitive to changes in the temperature of vapor generator 3. The optimal operation mode provides an exergy efficiency of 14.76 % and a payback period of 5.49 years. In conclusion, the proposed cascade heat recovery method not only enhances the overall efficiency of the solar-driven multi-generation system but also demonstrates economic viability with a reasonable payback period.
关键词	Solar system Energy storage Cascade heat recovery Freshwater Optimum multi-criteria solution Cuckoo search method
其他关键词	DEGRADATION ; ALGORITHM ; TROUGH
DOI	10.1016/j.applthermaleng.2023.122214
收录类别	SCIE
语种	英语
WOS研究方向	Thermodynamics ; Energy & Fuels ; Engineering ; Mechanics
WOS类目	Thermodynamics ; Energy & Fuels ; Engineering, Mechanical ; Mechanics
WOS记录号	WOS:001155905600001
出版者	PERGAMON-ELSEVIER SCIENCE LTD
原始文献类型	Article
EISSN	1873-5606
引用统计	被引频次：60[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.library.ouchn.edu.cn/handle/39V7QQFX/169800
专题	国家开放大学
通讯作者	Wang, Mengxia
作者单位	1.Univ China, Inst Social Innovat & Publ Culture Commun, Beijing 100000, Peoples R China; 2.Int Engn Psychol Inst US, Denver, CO 80201 USA; 3.Univ Illinois, Champaign, IL 61801 USA; 4.Hainan Vocat Univ Sci & Technol, Haikou 570100, Peoples R China; 5.Shenzhen High level Talents Dev Promot Assoc, Shenzhen 518000, Peoples R China; 6.CDA Int Accelerator, Shenzhen 518000, Peoples R China; 7.Beijing Inst Technol, Shenzhen Res Inst, Shenzhen 518000, Peoples R China; 8.Univ Wollongong, Wollongong 2223, Australia; 9.Shandong Open Univ, Jinan 250000, Peoples R China; 10.Xian Univ Technol, Sch Comp Sci & Engn, Xian 710048, Peoples R China;
推荐引用方式 GB/T 7714	Zhu, Chaoyang,Wang, Mengxia,Guo, Mengxing,et al. Optimizing solar-driven multi-generation systems: A cascade heat recovery approach for power, cooling, and freshwater production[J]. APPLIED THERMAL ENGINEERING,2024,240.
APA	Zhu, Chaoyang.,Wang, Mengxia.,Guo, Mengxing.,Deng, Jinxin.,Du, Qipei.,...&Talesh, Seyed Saman Ashraf.(2024).Optimizing solar-driven multi-generation systems: A cascade heat recovery approach for power, cooling, and freshwater production.APPLIED THERMAL ENGINEERING,240.
MLA	Zhu, Chaoyang,et al."Optimizing solar-driven multi-generation systems: A cascade heat recovery approach for power, cooling, and freshwater production".APPLIED THERMAL ENGINEERING 240(2024).