Modeling and optimization of an energy generation island based on renewable technologies and hydrogen storage systems

被引:118
作者
Carapellucci, Roberto [1 ]
Giordano, Lorena [1 ]
机构
[1] Univ Aquila, Dipartimento Ingn Meccan Energet & Gestionale, I-67100 Laquila, Italy
关键词
Hydrogen storage; Modeling; Optimization; Photovoltaic; Wind; Micro-hydro; GENETIC ALGORITHM; POWER; DESIGN; SIMULATION; OPERATION;
D O I
10.1016/j.ijhydene.2011.10.073
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The widespread use of renewable energy sources is hindered by their intermittent and unpredictable nature. This problem can be overcome with a storage system which manages the time mismatch between energy production and load requirements. The aim of this work is to develop a simulation tool for evaluating energy and economic performance of renewable energy islands, including various electricity generation technologies (photovoltaic modules, wind turbines and micro-hydroelectric plants), integrated with a hydrogen storage system, comprising an electrolyzer, a hydrogen storage tank and a fuel cell. After a brief description of the simulation tool structure, the attention is focused on energy and economic models of system components. Then an innovative approach for optimizing the energy island is proposed; it is based on a hybrid genetic-simulated annealing algorithm and aims to minimize the unit cost of electricity. Finally a generation island that provides electricity and hydrogen to a farm in central Italy is designed and optimized, comparing configurations based on different renewable technologies. Copyright (C) 2011, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2081 / 2093
页数:13
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