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Modelling and optimisation of a hydrogen-based energy storage system in an autonomous electrical network

机译:自治电网中基于氢的储能系统的建模和优化

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The European Union’s 2020 climate and energy package (known as “20–20–20” targets) requests, among other key objectives, 40% of the electricity production in Greece to be supplied from Renewable Energy Sources by 2020. The main barriers for reaching this target is the intermittency of renewable energy sources combined with the penetration limits in the local electrical grids and the high seasonal demand fluctuations. In this context, the introduction of energy storage systems, comprises one of the main solutions for coping with this situation. One of the most promising technologies for storing the excess energy, that would be otherwise lost, is the production and storage of hydrogen through water electrolysis. Hydrogen can be used for supporting the electricity grid during periods of high demand but also as transportation fuel for hydrogen-based automobiles (e.g. fuel cell vehicles). For this purpose, a simulation algorithm has been developed, able to assess the specifications of the optimum sizing of hydrogen production storage systems. For the application of the algorithm, the area of the Aegean Sea has been selected, owed to the considerable renewable energy sources curtailments recorded in the various non-interconnected islands in the region. More specifically, the developed algorithm is applied to an autonomous electricity network of 9 islands, located at the SE area of the Aegean Sea and known as the “Kos-Kalymnos” electricity system. The results obtained designate the optimum size of the hydrogen-based configuration, aiming to maximize the recovery of otherwise curtailed renewable energy production.
机译:欧盟的2020年气候和能源一揽子计划(称为“ 20–20–20”目标)要求,除其他主要目标外,到2020年希腊40%的电力生产将由可再生能源提供。实现这一目标的主要障碍这个目标是可再生能源的间歇性,再加上当地电网的渗透极限和季节性需求的高波动。在这种情况下,储能系统的引入是应对这种情况的主要解决方案之一。用于存储多余能量(否则会损失)的最有前途的技术之一是通过水电解生产和存储氢气。氢气可以在需求旺盛的时期用于支持电网,也可以用作氢基汽车(例如燃料电池汽车)的运输燃料。为此目的,已经开发了一种模拟算法,能够评估制氢存储系统最佳尺寸的规格。对于该算法的应用,由于该地区各种不相连的岛屿中记录了可再生能源的大量削减,因此选择了爱琴海区域。更具体地说,将开发的算法应用于位于爱琴海东南地区的9个岛屿的自治电力网络,被称为“ Kos-Kalymnos”电力系统。获得的结果指定了基于氢的配置的最佳尺寸,旨在最大程度地回收原本会减少的可再生能源。

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