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Demand response: a strategy to address residential air-conditioning peak load in Australia

机译:需求响应:解决澳大利亚住宅空调高峰负荷的策略

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Rapid growth in electricity network peak demand is increasing pressure for new investment which may be used for only a few hours a year. Residential air-conditioning is widely believed to be the prime cause of the rise in peak demand but, in the absence of detailed residential demand research, there is no bottom-up empirical evidence to support this supposition or to estimate its impact. This paper first examines the developments in network peak demand, at a national, network distribution, and local distribution feeder level to show recent trends in peak demand. Secondly, this paper applies analytics to the half-hourly consumption data of a sample of Ausgrid's interval metered customers, combined with local weather data, to develop an algorithm which can recognize air-conditioner use and can identify consumption patterns and peak load. This estimate is then compared to system peaks to determine residential air-conditioning's impact on overall demand. Finally, this paper considers the future impacts of air-conditioning load on peak demand as penetration rates reaches saturation levels and new minimum energy performance standards take effect reducing new units peak impacts.
机译:电网高峰需求的快速增长正在增加新投资的压力,新投资每年可能仅使用几个小时。人们普遍认为,家用空调是高峰需求增加的主要原因,但是,由于缺乏详细的住宅需求研究,因此没有自下而上的经验证据来支持这种假设或估计其影响。本文首先研究了国家,网络分布和本地分布馈线级别的网络峰值需求的发展,以显示峰值需求的最新趋势。其次,本文将分析方法应用于Ausgrid间隔计量客户样本的半小时消耗数据,并结合本地天气数据,开发出一种算法,该算法可以识别空调的使用情况,并可以识别消耗模式和峰值负荷。然后,将此估计值与系统峰值进行比较,以确定住宅空调对总体需求的影响。最后,本文考虑了当渗透率达到饱和水平时,空调负荷对峰值需求的未来影响,并且新的最低能源性能标准开始生效,从而减少了新机组对峰值的影响。

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