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Electrification of residential space heating considering coincidental weather events and building thermal inertia: A system-wide planning analysis

机译:考虑巧合的天气事件和建筑物热惯性的住宅空间供暖电气化:全系统规划分析

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摘要

The increasing deployment of variable renewables and parallel residential space heat electrification using heat pumps poses two significant challenges for electricity systems: First, coincidence of certain weather events can stress the power system due to the increasing weather-dependence on both supply and demand side; Secondly, increased net load demand requires large capacity expansion unless heat and electricity can be partially decoupled. This paper proposes a planning methodology to explore these challenges by integrating a 'Resistance-Capacitance' representation of building thermodynamics into an integrated planning model. This enables analysis of coincidental weather effects which drive system adequacy and of the potential to utilise building thermal inertia to pre-heat the building and effectively store electricity in the form of heat according to system conditions. The model was tested with a case study for the Irish energy system in 2030. It was found that different weather patterns considerably influence investment and planning choices. Also, coincidental effects of different weather variables in this case, low temperatures and low wind speed - define the most critical situations in terms of adequacy. By utilising building thermal inertia, total system costs of residential heat electrification can be reduced to the level of the benchmark technology, gas boilers. (C) 2017 Elsevier Ltd. All rights reserved.
机译:不断增加的可变可再生能源的部署和使用热泵的并行居住空间热电气化给电力系统带来了两个重大挑战:首先,由于天气对供需双方的依赖性越来越大,某些天气事件的巧合会给电力系统带来压力。第二,增加净负载需求需要大容量扩展,除非可以将热和电部分分离。本文提出了一种规划方法,以通过将建筑热力学的“电阻-电容”表示集成到集成规划模型中来探索这些挑战。这使得能够分析驱动系统充分性的偶然天气影响,以及利用建筑物的热惯性来对建筑物进行预热并根据系统条件以热量形式有效地存储电能的潜力。在2030年针对爱尔兰能源系统的案例研究中对该模型进行了测试。结果发现,不同的天气模式会极大地影响投资和计划选择。同样,在这种情况下,不同的天气变量(低温和低风速)的偶然影响,就充分性而言定义了最关键的情况。通过利用建筑物的热惯性,可以将住宅热电气化的系统总成本降低到基准技术燃气锅炉的水平。 (C)2017 Elsevier Ltd.保留所有权利。

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