An innovative process design and multi-criteria study/optimization of a biomass digestion-supercritical carbon dioxide scenario toward boosting a geothermal-driven cogeneration system for power and heat

doi:10.1016/j.energy.2024.130408

CSpace

	An innovative process design and multi-criteria study/optimization of a biomass digestion-supercritical carbon dioxide scenario toward boosting a geothermal-driven cogeneration system for power and heat
	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; Mohebbi, Amir 11
	2024-04-01
发表期刊	ENERGY
ISSN	0360-5442
卷号	292
摘要	In the pursuit of enhancing both sustainability and energy density in low -temperature, renewable energy -based cycles, the integration of high -temperature renewable streams is considered a key objective in multigenerational scenarios that focus on renewable energy. This integration is recognized for its ability to reduce irreversibility and facilitate the development of eco-friendly designs. Consequently, the development, analysis, and optimization of an innovative multigenerational system, which utilizes a combination of biomass feedstock and geothermal energy resources, are the aims of this study. In this system, the performance of a geothermal -driven subsystem is significantly enhanced by a biomass -fueled subsystem, contributing to a more efficient overall system. This enhancement involves the integration of biomass digestion with a supercritical CO2 process. The energetic flue gas generated in this process is then utilized to enhance the enthalpy level of geothermal water through a dual -flash process. This process includes an advanced Kalina cycle, enabling combined cooling, heating, and power generation. The feasibility of this structure is examined through a comprehensive analysis that encompasses thermodynamic and economic considerations. The performance optimization is targeted using the Multi -Objective Grey Wolf Optimization technique, and within this framework, two multi -criteria optimization scenarios are defined based on power and heat output, exergy efficiency, and the system's profitability. Furthermore, a detailed sensitivity analysis is conducted, where the impact of variations in five key decision parameters is evaluated. It is indicated by the results that 500.8 kW of power, 900.2 kW of heating, and 4.931 kW of cooling can be provided by the system, which also achieves an exergetic efficiency of 23.08 % and a payback period of 6.87 years.
关键词	Biomass digestion Geothermal energy SupercriticalCO2 process Modified Kalina cycle Multigeneration system Multi-criteria optimization
其他关键词	MUNICIPAL SOLID-WASTE ; MULTIOBJECTIVE OPTIMIZATION ; ENERGY SYSTEM ; FRESH-WATER ; MULTIGENERATION ; ALGORITHM
DOI	10.1016/j.energy.2024.130408
收录类别	SCIE
语种	英语
WOS研究方向	Thermodynamics ; Energy & Fuels
WOS类目	Thermodynamics ; Energy & Fuels
WOS记录号	WOS:001174499500001
出版者	PERGAMON-ELSEVIER SCIENCE LTD
原始文献类型	Article
EISSN	1873-6785
引用统计	被引频次：81[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/169748
专题	国家开放大学
通讯作者	Wang, Mengxia
作者单位	1.Commun Univ China, Inst Social Innovat & Publ Culture, 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 City 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. An innovative process design and multi-criteria study/optimization of a biomass digestion-supercritical carbon dioxide scenario toward boosting a geothermal-driven cogeneration system for power and heat[J]. ENERGY,2024,292.
APA	Zhu, Chaoyang.,Wang, Mengxia.,Guo, Mengxing.,Deng, Jinxin.,Du, Qipei.,...&Mohebbi, Amir.(2024).An innovative process design and multi-criteria study/optimization of a biomass digestion-supercritical carbon dioxide scenario toward boosting a geothermal-driven cogeneration system for power and heat.ENERGY,292.
MLA	Zhu, Chaoyang,et al."An innovative process design and multi-criteria study/optimization of a biomass digestion-supercritical carbon dioxide scenario toward boosting a geothermal-driven cogeneration system for power and heat".ENERGY 292(2024).