可再生能源
光伏系统
工艺工程
工厂(面向对象编程)
发电
热电联产
电池(电)
风力发电
环境经济学
环境科学
汽车工程
计算机科学
工程类
功率(物理)
电气工程
物理
量子力学
经济
程序设计语言
作者
Ximei Li,Jianmin Gao,Shi You,Yi Zheng,Yu Zhang,Qian Du,Min Xie,Yukun Qin
出处
期刊:Energy
[Elsevier]
日期:2022-04-01
卷期号:244: 123174-123174
被引量:22
标识
DOI:10.1016/j.energy.2022.123174
摘要
This paper investigates the techno-economic characteristics of renewable-based energy system design options that need to meet the multi-vector energy demand, i.e. electricity, heat and hydrogen of a food factory in four different places and two different years in China. A two-stage optimization approach is proposed: Firstly, the Hybrid Optimization Model for Electric Renewable (HOMER) software is used to obtain all feasible scenarios meeting demands with the lowest cost; Then, a Multi-Criteria Decision-Making method, Vise Kriterijumska Optimizacija kompromisno Resenje (VIKOR), is adopted to re-evaluate all feasible scenarios to determine the optimal solution considering not only the economy but also energy and environment. Different technologies, like power generation: photovoltaic panel (PV), wind turbine (WT) and both together (PV/WT), energy storage: battery, fuel cell (FC), and both (battery/FC), and hydrogen production: steam methane reforming and water electrolysis, are evaluated to find the best combination. The software results show, PV/WT combination usually has advantages over PV alone and WT alone in power generation in locations with abundant solar energy and wind energy. So is the energy storage. Reformer scenarios are much cheaper than electrolyzers. However, the VIKOR results show, the top scenarios in different locations and years are all using electrolyzers to produce hydrogen.
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