Optimal allocation and capacity of energy storage systems in a future European power system with 100% renewable energy generation

被引:86
作者
Bussar, Christian [1 ,4 ]
Moos, Melchior
Alvarez, Ricardo [2 ,4 ]
Wolf, Philipp [1 ,4 ]
Thien, Tjark [1 ,4 ]
Chen, Hengsi [2 ,3 ,4 ]
Cai, Zhuang [1 ,3 ]
Leuthold, Matthias [1 ,3 ,4 ]
Sauer, Dirk Uwe [1 ,3 ]
Moser, Albert [2 ,3 ,4 ]
机构
[1] Rhein Westfal TH Aachen, Inst Power Generat & Storage Syst PGS, E ON ERC, D-52074 Aachen, Germany
[2] Rhein Westfal TH Aachen, Chair & Inst Power Syst & Power Econ, Aachen, Germany
[3] CInstitute Power Generat & Storage Syst PGS, Aachen, Germany
[4] JARA Energy, Aachen, Germany
来源
8TH INTERNATIONAL RENEWABLE ENERGY STORAGE CONFERENCE AND EXHIBITION (IRES 2013) | 2014年 / 46卷
关键词
Energy storage; European power system; 100% renewable energy; simulation tool; cost calculation; Energiewende;
D O I
10.1016/j.egypro.2014.01.156
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
The future European energy supply system will have a high share of renewable energy sources (RES) to meet the greenhouse gas emission policy of the European Commission. Such a system is characterized by the need for a strongly interconnected energy transport grid as well as a high demand of energy storage capacities to compensate the time fluctuating characteristic of most RE generation technologies. With the RE generators at the location of high harvest potential, the appropriate dimension of storage and transmission system between different regions, a cost efficient system can be achieved. To find the preferred target system, the optimization tool GENESYS (Genetic Optimization of a European Energy System) was developed. The example calculations under the assumption of 100% self-supply, show a need of about 2,500 GW RES in total, a storage capacity of about 240,000 GWh, corresponding to 6% of the annual energy demand, and a HVDC transmission grid of 375,000 GWkm. The combined cost for generation, storage and transmission excluding distribution, was estimated to be 6.87 ct/kWh. (C) 2014 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:40 / 47
页数:8
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