Enhancing demand side management: A field study on flexibility and personal thermal control

Demand side management (DSM) is a strategy for district heating (DH) networks to reduce peak demand and energy costs. Traditional DSM methods apply fixed temperature reductions, assuming uniform occupant tolerance, which can limit effectiveness or cause discomfort. This paper presents findings from a longitudinal field study (2023–2024 heating season, Stockholm, Sweden) evaluating a personalized DSM approach. Using the ComfortID mobile application, approximately 70 users could accept, or abort DSM events based on individual thermal comfort preference. The results showed that about 25% of events were cancelled. Accepted events averaged a 0.8-K reduction over 22 hours and 54 minutes; cancelled events showed a 1.1-°C reduction over 76 minutes. Additionally, the study found that participants’ thermal sensations significantly deviated from the ISO 7730 standard, highlighting the limitations of generic models. Incorporating personalized thermal models doubled occupant flexibility for DSM compared to a population-based approach. The results demonstrate that integrating personalization into DSM programs can enhance flexibility and energy savings up to 28% without compromising occupant's comfort.

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Publication Details

Journal
Indoor and Built Environment
Published
2025-10-27
DOI
https://doi.org/10.1177/1420326x251378316
Primary Topic
Smart Grid Energy Management
Type
article
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article

Enhancing demand side management: A field study on flexibility and personal thermal control

Yangzhe Chen, Quirin Hamp, Qian Wang
Indoor and Built Environment
Smart Grid Energy Management
article

Enhancing demand side management: A field study on flexibility and personal thermal control

Yangzhe Chen, Quirin Hamp, Qian Wang
article en

Abstract

Demand side management (DSM) is a strategy for district heating (DH) networks to reduce peak demand and energy costs. Traditional DSM methods apply fixed temperature reductions, assuming uniform occupant tolerance, which can limit effectiveness or cause discomfort. This paper presents findings from a longitudinal field study (2023–2024 heating season, Stockholm, Sweden) evaluating a personalized DSM approach. Using the ComfortID mobile application, approximately 70 users could accept, or abort DSM events based on individual thermal comfort preference. The results showed that about 25% of events were cancelled. Accepted events averaged a 0.8-K reduction over 22 hours and 54 minutes; cancelled events showed a 1.1-°C reduction over 76 minutes. Additionally, the study found that participants’ thermal sensations significantly deviated from the ISO 7730 standard, highlighting the limitations of generic models. Incorporating personalized thermal models doubled occupant flexibility for DSM compared to a population-based approach. The results demonstrate that integrating personalization into DSM programs can enhance flexibility and energy savings up to 28% without compromising occupant's comfort.

Indoor and Built EnvironmentVol. 35(1)
Exergia, Energy, Management and Information Technology (GR), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 69%
Smart Grid Energy Management
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