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Hydrogen Filling Station Design for Fuel Cell Vehicles

机译:燃料电池汽车加氢站设计

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摘要

After the energy bill was announced in 2005, a transition of the national energy system from hydrocarbon to hydrogen had been envisioned. However, safe and convenient refueling and widespread availability of hydrogen from various energy sources are the prerequisites for the development of hydrogen economy. This paper focuses on the design of a hydrogen filling station with on-site hydrogen production by electrolysis of water. The proposed virtual wind farm and on-site installed photovoltaic supply the main and renewable energy for electrolyzers in the station. The utility electricity is served as an auxiliary energy resource to compensate the intermittence of wind and solar. Since the market clearing price (MCP) can change dramatically in the deregulated power market, the station can participate in the power market with a hydrogen-storage tank. Based on the forecasting of wind power with the artificial neural network model and MCP with the statistical model, this paper proposes an optimization algorithm for the hydrogen production schedule and the strategy of power trading to optimize the production costs of the station.
机译:在2005年宣布能源法案之后,已经计划将国家能源系统从碳氢化合物过渡到氢。但是,安全便捷的加油以及从各种能源中广泛获取氢是发展氢经济的先决条件。本文着重于设计一个加氢站的设计,该加氢站可通过水电解现场制氢。拟议中的虚拟风电场和现场安装的光伏设备为电站中的电解槽提供了主要能源和可再生能源。公用电力被用作辅助能源,以补偿风和太阳能的间歇性。由于在解除管制的电力市场中市场结算价格(MCP)可能发生巨大变化,因此该站可以使用储氢罐参与电力市场。基于人工神经网络模型对风电功率的预测以及统计模型对MCP的预测,提出了制氢计划的优化算法和电力交易策略,以优化电站的生产成本。

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