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Multi-objective optimization and evaluation of hybrid CCHP systems for different building types
Energy ( IF 9 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.energy.2020.119096
Fukang Ren , Ziqing Wei , Xiaoqiang Zhai

Abstract The hybridization between renewable energy and fossil energy in energy supply system is a feasible solution to reduce the fossil energy consumption and CO2 emission. The hybrid CCHP systems that can include gas turbine (GT), absorption unit (ABS), ground source heat pump (GSHP), photovoltaic panels (PV), solar thermal collectors (ST), photovoltaic thermal solar collectors (PVT), battery, water storage tank (WST), are proposed in this study. Two different systems to use solar energy are evaluated: in system A, solar energy is converted into thermal and electric energy by ST and PV, respectively; while in system B, solar energy is converted into thermal and electric energy by PVT. The NSGA-II algorithm is employed to search the Pareto frontier solutions of the multi-objective optimization model that considers economy, energy and environment performances. The TOPSIS method is used as decision making tool for ideal configuration selection. The hybrid CCHP systems for three buildings (hotel, office, market) are optimized and compared under different operation strategies. The results reveal that the system A operating in following electric load (FEL) strategy achieves more benefits for three buildings. Besides, the system configuration and component size are closely related to the building type.

中文翻译:

不同建筑类型混合热电联供系统的多目标优化与评估

摘要 在能源供应系统中实现可再生能源与化石能源的混合,是降低化石能源消耗和CO2排放的可行方案。混合 CCHP 系统可以包括燃气轮机 (GT)、吸收单元 (ABS)、地源热泵 (GSHP)、光伏板 (PV)、太阳能集热器 (ST)、光伏太阳能集热器 (PVT)、电池、本研究中提出了储水罐(WST)。评估了两种不同的太阳能利用系统:在系统 A 中,太阳能分别通过 ST 和 PV 转换为热能和电能;而在系统B中,太阳能通过PVT转换为热能和电能。采用NSGA-II算法搜索考虑经济性的多目标优化模型的Pareto前沿解,能源和环境绩效。TOPSIS 方法用作理想配置选择的决策工具。三种建筑(酒店、办公室、市场)的混合热电联供系统在不同的运营策略下进行了优化和比较。结果表明,系统 A 以跟随电力负荷 (FEL) 策略运行,可为三座建筑物带来更多收益。此外,系统配置和构件尺寸与建筑类型密切相关。
更新日期:2021-01-01
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