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| DOI | 10.1016/j.enpol.2021.112290 |
| A data-driven study of thermostat overrides during demand response events | |
| Sarran L.; Gunay H.B.; O'Brien W.; Hviid C.A.; Rode C. | |
| 发表日期 | 2021 |
| ISSN | 03014215 |
| 卷号 | 153 |
| 英文摘要 | In the context of increasing renewable energy penetration in energy systems, demand response is acknowledged as a solution to guarantee grid stability and security of supply. Direct control of appliances by utilities, however, may lead to user dissatisfaction and disengagement via overrides. The present study, based on data from 6,389 connected thermostats in North America in the summer of 2019, investigates users' thermostat overriding behavior during demand response events targeting their air conditioners. An average event in this dataset was triggered around 3 p.m. and lasted three hours. The overall override rate was 12.9%. Overrides critically affected power usage during an event, with the share of the expected power demand reduction missed due to overrides being of the same order of magnitude as the override rate. In a decision tree analysis, the override rate showed to be particularly affected by occupants' habitual setpoint change frequency, outdoor temperature, event duration, and occupants’ previous experience with demand response. Even though the dataset is not representative of all types of demand response events, this study highlights the potential lying in connected thermostat data for utilities to design tailored demand response events with an increased success rate and a smaller impact on occupant comfort. © 2021 Elsevier Ltd |
| 关键词 | Connected thermostatDecision treeDemand responseOccupant behaviorOverride |
| 英文关键词 | Air conditioning; Renewable energy resources; Thermostats; Connected thermostat; Data driven; Demand response; Energy systems; Grid security; Grid stability; Occupants behaviours; Override; Renewable energy penetrations; Security of supply; Decision trees; air conditioning; alternative energy; decision support system; electricity supply; energy policy; energy use; North America |
| 语种 | 英语 |
| 来源期刊 | Energy Policy
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/205324 |
| 作者单位 | Department of Civil Engineering, Technical University of Denmark, Brovej, Kongens Lyngby 2800, Denmark; Saint-Gobain Nordic A/S, Robert Jacobsens Vej 62A, Copenhagen, 2300, Denmark; Department of Civil and Environmental Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada |
| 推荐引用方式 GB/T 7714 | Sarran L.,Gunay H.B.,O'Brien W.,et al. A data-driven study of thermostat overrides during demand response events[J],2021,153. |
| APA | Sarran L.,Gunay H.B.,O'Brien W.,Hviid C.A.,&Rode C..(2021).A data-driven study of thermostat overrides during demand response events.Energy Policy,153. |
| MLA | Sarran L.,et al."A data-driven study of thermostat overrides during demand response events".Energy Policy 153(2021). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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