Development of a profile-based electricity demand response estimation method: An application based on UK hotel chillers
Development of a profile-based electricity demand response estimation method: An application based on UK hotel chillers
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DOI：
10.1016/j.enbuild.2021.111071
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发表时间：
2021-05
影响因子：
6.7
通讯作者：
Mitchell Curtis;S. Smith;Jacopo Torriti
中科院分区：
文献类型：
--
作者：
Mitchell Curtis;S. Smith;Jacopo Torriti
原则上，需求侧响应（DSR）越来越被视为以可再生能源为主要发电来源的低碳电力网络的关键组成部分。在实践中，DSR在发达国家和发展中国家的大多数电力市场中出现缓慢。DSR渗透缓慢的主要原因之一是难以评估单个站点的灵活性潜力。本文开发了一种新的DSR估计方法，该方法基于2013年至2017年英国五家酒店的供暖、通风和空调（HVAC）制冷机数据，使用详细的配置文件信息，并结合聚类分析和随后的随机抽样，使用聚类加权的基于日期的预测因子。研究结果表明，剖面DSR估计方法具有更好的平衡的误差与以前的方法相比。
In principle, Demand Side Response (DSR) is increasingly seen as a critical component of a low-carbon electricity network with renewables as main sources of generation. In practice, DSR has been slow to emerge in most electricity markets of developed and developing countries. One of the main reasons for the slow penetration of DSR is the difficulty to assess the flexibility potential of individual sites. This paper develops a new DSR estimation method which uses detailed profiles information based on data on Heating, Ventilation and Air Conditioning (HVAC) chillers in five UK hotels between 2013 and 2017 and applies a combination of clustering analysis and subsequent stochastic sampling using cluster-weighted date-based predictors. Findings show that the profile DSR estimation method features a better balance of error compared with previous methods.