Multi-objective optimization of solar powered adsorption chiller combined with river water heat pump system for air conditioning and space heating application

被引：41

作者：

Li, Rui ^{[1
]}

Dai, Yanjun ^{[2
]}

Cui, Guomin ^{[1
]}

机构：

[1] Univ Shanghai Sci & Technol, Sch Energy & Power Engn, Shanghai 20093, Peoples R China

[2] Shanghai Jiao Tong Univ, Inst Refrigerat & Cryogen, Shanghai, Peoples R China

来源：

ENERGY | 2019年 / 189卷

关键词：

Multi-energy system; Multi-objective optimization; Solar heating and cooling; River water source heat pump; PHOTOVOLTAIC/THERMAL COLLECTORS; POLYGENERATION SYSTEM; PERFORMANCE; SIMULATION; BUILDINGS; BENEFIT; DESIGN;

D O I：

10.1016/j.energy.2019.116141

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

Multi-energy system is currently under rapid development due to their potential to reduce the use of fossil fuel resources and improve system stability. A systematic simulation-based, multi-objective optimization model of for solar hybrid heat pump heating and cooling system is presented. A combined energy, economic and environmental analysis of the system is conducted to calculate the primary energy use as well as the levelized total annual cost. A multi-objective optimization model is formulated using a genetic algorithm to simultaneously minimize these objective. Linear programming technique for multidimensional analysis of preference (LINMAP) is used to select the optimal point from the Pareto front. A sensitivity analysis is also performed to assess the influence of fuel cost, capital cost of innovative components and the annual interest rate on the Pareto front of the optimal solution. (C) 2019 Published by Elsevier Ltd.

引用

页数：15

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