Design and evaluation of a novel heliostat-based combined cooling, heating, and power (CCHP) system: 3E analysis and multi-criteria optimization by response surface methodology (RSM)

被引:2
|
作者
Yan, Manli [1 ]
Yao, Zhang [2 ]
Nutakki, Tirumala Uday Kumar [3 ]
Agrawal, Manoj Kumar [4 ]
Muhammad, Taseer [5 ]
Albani, Aliashim [6 ]
Zhao, Zhanping [7 ]
机构
[1] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
[2] Shihezi Univ, Shihezi 832003, Xinjiang, Peoples R China
[3] Amer Univ Ras Al Khaimah, RAK Res & Innovat Ctr, Ras Al Khaymah, U Arab Emirates
[4] GLA Univ, Mathura 281406, UP, India
[5] King Khalid Univ, Coll Sci, Dept Math, Abha 61413, Saudi Arabia
[6] Univ Malaysia Terengganu, Fac Ocean Engn Technol & Informat, Kuala Nerus 21030, Terengganu, Malaysia
[7] Ton Duc Thang Univ, Fac Environm & Labour Safety, Sustainable Management Nat Resources & Environm Re, Ho Chi Minh City, Vietnam
关键词
Solar energy; Multi heat recovery; Integrated unit; Brayton cycle; Response surface methodology; Multi -objective optimization; ORGANIC RANKINE-CYCLE; MICRO GAS-TURBINE; MULTIGENERATION SYSTEM; THERMODYNAMIC ANALYSIS; ABSORPTION CHILLER; WASTE HEAT; BRAYTON; PERFORMANCE; KALINA; COGENERATION;
D O I
10.1016/j.energy.2023.129389
中图分类号
O414.1 [热力学];
学科分类号
摘要
Concerning the global challenges arising from fossil fuel-dependent power cycles, including environmental concerns and fuel transportation issues, solar-based technologies have appeared as a remarkable alternative. Hence, the present study introduces a novel approach for combined cooling, heating, and power generation through a fossil fuel-independent Brayton cycle combined with an advanced multi-heat recovery process. Furthermore, an intelligent process is performed to optimize the newly developed system. This system employs a Brayton cycle, modified by a recuperator and intercoolers, integrated with a heliostat field. Furthermore, a thermal energy storage unit provides the input energy continuously. The heat recovery process encompasses a dual-effect absorption chiller, a Kalina cycle, a heating generation subsystem, and a liquefied natural gas cold energy utilization unit. The proposed system is examined from energy, exergy, and economic points of view and is optimized through an intelligent process based on response surface methodology. Therefore, ten distinct decision variables are identified, while the objective functions encompass the exergetic efficiency and the sum unit cost of products. The accuracy of the regression models is examined through the analysis of variance. Therefore, the optimal state demonstrates a sum unit cost of products and an exergetic efficiency of 24.75 $/GJ and 21.72 %, respectively.
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页数:17
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