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Assessment of primary energy consumption, carbon dioxide emissions, and peak electric load for a residential fuel cell using empirical natural gas and electricity use profiles

机译:使用经验性天然气和用电曲线评估住宅燃料电池的一次能源消耗,二氧化碳排放量和峰值电负荷

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This analysis uses empirical data for 20 single-family homes from a smart grid demonstration project in Austin, Texas to create intra-day natural gas and electricity use profiles on one-minute intervals based on cooling and heating degree days. Combining these intra-day energy use profiles with emissions factors and a linear programming model, temporal energy use profiles were evaluated to quantify primary energy consumption, CO2 emissions, and peak electric load for a house with a residential fuel cell used as on site power generation versus being connected to the electric grid. Results showed that natural gas use primarily peaked in the morning, while electricity use peaked in the afternoon. For fuel cell capacities of 0-3.0 kW(e) and efficiency of 40%, total CO2 emissions, including the fuel cell for the cooling day, were 1.7-1.9 times higher than the heating day. For a fuel cell capacity of 1.0 kW(e) and efficiency of 40%, peak electric load decreased during on-peak hours (14:00-20:00) for the cooling and heating days by 60% and 44%, respectively. Effects of fuel cell capacity and efficiency on total primary energy consumption and CO2 emissions showed that as the fuel cell capacity and efficiency increased, primary energy consumption and CO2 emissions were reduced from the baseline values that represent conventional homes' patterns. These results show that the use of residential fuel cells can offer environmental benefits from reducing primary energy consumption and CO2 emissions, and grid reliability benefits by reducing peak electric load. (C) 2018 Elsevier B.V. All rights reserved.
机译:该分析使用得克萨斯州奥斯汀的智能电网示范项目中20个单户住宅的经验数据,根据制冷和制热日数,以一分钟为间隔创建日内天然气和电力使用情况。将这些日内能源使用状况与排放因子和线性规划模型相结合,对临时能源使用状况进行了评估,以量化一次能源消耗,CO2排放量以及使用住宅燃料电池作为现场发电的房屋的峰值电力负荷而不是连接到电网。结果表明,天然气使用量主要在早晨达到高峰,而用电量在下午达到峰值。对于0-3.0 kW(e)的燃料电池容量和40%的效率,包括燃料电池在内的冷却日的总CO2排放量比加热日高1.7-1.9倍。对于容量为1.0 kW(e)的燃料电池和效率为40%的燃料,在冷却和加热日的高峰时段(14:00-20:00),峰值电负载分别降低了60%和44%。燃料电池容量和效率对总一次能源消耗和CO2排放的影响表明,随着燃料电池容量和效率的提高,一次能源消耗和CO2排放量已从代表传统房屋模式的基线值降低。这些结果表明,使用民用燃料电池可通过减少一次能源消耗和CO2排放而为环境带来好处,并通过减少峰值电力负荷而带来电网可靠性的好处。 (C)2018 Elsevier B.V.保留所有权利。

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