Optimization and integration of hybrid renewable energy hydrogen fuel cell energy systems - A critical review

被引:320
作者
Eriksson, E. L. V. [1 ]
Gray, E. MacA. [1 ]
机构
[1] Griffith Univ, Queensland Micro & Nanotechnol Ctr, Brisbane, Qld 4111, Australia
关键词
Renewable energy; Design methodology; Design constraints; Hydrogen; Electrolyser; Fuel cell; Hydrogen fuel cell energy systems; Integration; Microgrid; Optimisation; Genetic algorithm; System integration; Software tools; STAND-ALONE APPLICATIONS; POWER-GENERATION; HIERARCHICAL METHODOLOGY; OPERATIONAL EXPERIENCE; MANAGEMENT STRATEGIES; RURAL ELECTRIFICATION; SIZING METHODOLOGIES; DESIGN OPTIMIZATION; OPTIMAL ALLOCATION; GENETIC ALGORITHM;
D O I
10.1016/j.apenergy.2017.03.132
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
080707 [能源环境工程]; 082001 [油气井工程];
摘要
Electricity generation presents the biggest opportunity to lower CO2 emissions and it is foreseen that hydrogen energy technology will play an important role in realising the scenario to cap global warming at 2 degrees C through replacement of fossil fuels with renewables. The transition to electric power for transport in battery- and fuel-cell-electric vehicles will further increase the need for low-carbon electricity generation. For a successful transition to a renewable energy economy the traditional approach of designing energy systems to meet only goals related to the technology (capacity, availability, reliability) and economics (return on investment, cost to the consumer) must evolve to take on a more holistic viewpoint and be able to take into account other goals addressing environmental and social considerations. This paper reviews approaches for integrating hydrogen energy technology into hybrid energy systems, emphasising electricity generation using a hydrogen fuel cell. Integration of energy storage, sizing methodologies, energy flow management and their associated optimization algorithms and software implementation are addressed. Few published case studies go beyond technical considerations. This reality is discussed in the light of available software packages. A four-dimensional multi-objective meta heuristic function is proposed with weighting of technical, economic, environmental and sociopolitical factors to suit the design goals for the energy system. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:348 / 364
页数:17
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