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  4. A mixed-methods case study on resident thermal comfort and attitude towards peak shifting of space heating
 
research article

A mixed-methods case study on resident thermal comfort and attitude towards peak shifting of space heating

Christensen, Louise R. L.
•
Broholt, Thea Hauge
•
Barthelmes, Verena M.  
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December 1, 2022
Energy And Buildings

Recent simulation-based studies have indicated that Economic Model Predictive Control (EMPC) of space heating systems can exploit the thermal mass in residential buildings for demand response (DR) purposes in district heating systems. However, there is a lack of studies on residents' perception and acceptance of the fluctuating indoor air temperature behaviour inherent in EMPC of space heating. This paper reports on a case study featuring the residents of three one-story houses located in Denmark. The houses were equipped with technology enabling remote actuation of radiator thermostats and collection of various indoor environmental data. Four different temperature boost interventions mimicking the typical beha-viour of EMPC of radiators were executed while a mixed-methods triangulation design, employing ques-tionnaires and semi-structured interviews, was used to collect subjective data. Data showed that residents accepted the behaviour but only after the benefits of the EMPC were explained. The acceptance was motivated by either the prospect of saving money, environmental benefits, or a combination of both. The results thereby indicate that explaining the benefits of EMPC is important if residents are to abandon their current preferences and practices in favour of an EMPC concept. The explanation should consider the diversity in current preferences, expectations, and level of technological pre-knowledge. In addition, the paper also reports on a range of findings related to technical aspects of realising EMPC in practice.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

  • Details
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Type
research article
DOI
10.1016/j.enbuild.2022.112501
Web of Science ID

WOS:000870527300005

Author(s)
Christensen, Louise R. L.
Broholt, Thea Hauge
Barthelmes, Verena M.  
Khovalyg, Dolaana  
Petersen, Steffen
Date Issued

2022-12-01

Publisher

ELSEVIER SCIENCE SA

Published in
Energy And Buildings
Volume

276

Article Number

112501

Subjects

Construction & Building Technology

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Energy & Fuels

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Engineering, Civil

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Construction & Building Technology

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Energy & Fuels

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Engineering

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residential buildings

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subjective thermal comfort

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triangulation design

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heating intervention

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demand response

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model-predictive control

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demand response

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field-tests

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buildings

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systems

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storage

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
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Available on Infoscience
November 21, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/192429
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