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首页> 美国卫生研究院文献>Wiley-Blackwell Online Open >Design of a Pilot SOFC System for the Combined Production of Hydrogen and Electricity under Refueling Station Requirements
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Design of a Pilot SOFC System for the Combined Production of Hydrogen and Electricity under Refueling Station Requirements

机译：加油站要求下的氢电联产SOFC中试系统设计

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摘要

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.
机译：当前工作的目的是支持设计一个以天然气（或生物甲烷）为原料的氢气和电力试点工厂的设计，作为向100％可再生运输系统过渡的选择。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设备。加油站必须在不同的运行时段内工作，这些时段的特点是氢气需求以及供应和自耗所需的电力。同一套热交换器必须满足不同运行时间段的加热和冷却需求。为了优化中试工厂的运行变量并提供最佳的换热网络，所采用的方法遵循系统化的过程以实现多目标，即最大的工厂效率和最小的换热器匹配数以及多阶段优化。解决方案策略结合了稳态的流程建模，基于上层结构的数学程序设计以及基于进化的算法进行优化。结果表明，该工厂的日加权效率可以超过60％，而考虑到热利用，则可以达到80％。

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