Abstract The objective of the current work is to support the design of a pilot hydrogen and electricity producing plant that uses natural gas (or biomethane) as raw material, as a transition option towards a 100% renewable transportation system. The plant, with a solid oxide fuel cell (SOFC) as principal technology, is intended to be the main unit of an electric vehicle station. The refueling station has to work at different operation periods characterized by the hydrogen demand and the electricity needed for supply and self‐consumption. The same set of heat exchangers has to satisfy the heating and cooling needs of the different operation periods. In order to optimize the operating variables of the pilot plant and to provide the best heat exchanger network, the applied methodology follows a systematic procedure for multi‐objective, i.e. maximum plant efficiency and minimum number of heat exchanger matches, and multi‐period optimization. The solving strategy combines process flow modeling in steady state, superstructure‐based mathematical programming and the use of an evolutionary‐based algorithm for optimization. The results show that the plant can reach a daily weighted efficiency exceeding 60%, up to 80% when considering heat utilization.

中文翻译：

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加氢站要求的氢电联产SOFC中试系统设计

摘要 当前工作的目标是支持设计一个以天然气（或生物甲烷）为原料的制氢和发电试点工厂，作为向 100% 可再生运输系统的过渡选择。该工厂以固体氧化物燃料电池（SOFC）为主要技术，旨在成为电动汽车站的主要单元。加氢站必须在不同的运营时段工作，以氢气需求和供应和自用所需的电力为特征。同一套换热器要满足不同运行时期的供热和制冷需求。为了优化中试工厂的运行变量并提供最佳的换热器网络，所应用的方法遵循多目标的系统程序，即 最大的工厂效率和最少的换热器匹配数量，以及多周期优化。求解策略结合了稳态过程流建模、基于上层结构的数学规划和使用基于进化的优化算法。结果表明，该厂可达到日加权效率超过60%，考虑热利用时可达80%。