Solar power-to-gas application to an island energy system

被引:55
|
作者
Nastasi, Benedetto [1 ]
Mazzoni, Stefano [2 ]
Groppi, Daniele [3 ]
Romagnoli, Alessandro [4 ]
Garcia, Davide Astiaso [1 ]
机构
[1] Sapienza Univ Rome, Technol Architecture, Dept Planning Design, Via Flaminia 72, I-00196 Rome, Italy
[2] Nanyang Technol Univ, Energy Res Inst NTU, Singapore, Singapore
[3] Sapienza Univ Rome, Dept Astronaut Elect & Energy Engn DIAEE, Via Eudossiana 18, I-00184 Rome, Italy
[4] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore, Singapore
关键词
Energy storage; Island energy systems; Renewable power to gas; Hydrogen economy; Optimal dispatch; Smart multi energy systems;
D O I
10.1016/j.renene.2020.10.055
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Geographical Islands have been considered a challenge environment to test renewable energy integration strategies as well as cutting-edge technologies due to the alternation between actual grid-connected and island mode. This is due to the weak connection to the mainland and, subsequently, the Power Grid as well as the strong changes in seasonal energy demand leading to congestion and stability issues. Hydrogen technologies could be the pathway to mitigate the afore-mentioned issues providing directional energy exchange as in the case of reversible solid oxide cells or interacting with other sectors such as transport by fuelling fuel cell vehicles by means of H2 produced by electrolysers. The scale renewables locally installed plays a key role and this is why the amount of surface dedicated to solar energy exploitation as well as the number of buildings involved in the design are crucial. Therefore, this paper a sensitivity analysis is carried out between 1 and 3 buildings, i.e. 20-100 kW of committed electrical power located in the Island as well as the surface dedicated to PV array for local production. The hydrogen energy system layouts of the simulated scenarios are optimized by the adoption of the (c) E-OPT software platform based on a Mixed Integer Non Linear Programming solver. The scale affects the choice of the best hydrogen technology to integrate in order to increase the self-sufficiency of the compound and, consequently, the energy security of its supply. Furthermore, when coupled with CO2 emissions performance vary with the final use of the stored hydrogen. (c) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1005 / 1016
页数:12
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