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

被引:5
作者
Christensen, Louise R. L. [1 ]
Broholt, Thea Hauge [1 ]
Barthelmes, Verena M. [2 ,3 ]
Khovalyg, Dolaana [2 ]
Petersen, Steffen [1 ]
机构
[1] Aarhus Univ, Dept Engn Indoor Climate & Energy, Inge Lehmanns Gade 10, DK-8000 Aarhus C, Denmark
[2] Ecole Polytech Fed Lausanne EPFL, Lab Integrated Comft Engn ICE, CH-1700 Fribourg, Switzerland
[3] Siemens, Zug, Switzerland
关键词
Residential buildings; Subjective thermal comfort; Triangulation design; Heating intervention; Demand response; MODEL-PREDICTIVE CONTROL; DEMAND RESPONSE; FIELD-TESTS; BUILDINGS; SYSTEMS; STORAGE;
D O I
10.1016/j.enbuild.2022.112501
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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/).
引用
收藏
页数:14
相关论文
共 46 条
  • [1] Demand Response in District Heating Market-Results of the Field Tests in Student Apartment Buildings
    Ala-Kotila, Paula
    Vainio, Terttu
    Heinonen, Janne
    [J]. SMART CITIES, 2020, 3 (02): : 157 - 171
  • [2] It is too Hot: An In-Situ Study of Three Designs for Heating
    Alan, Alper T.
    Shann, Mike
    Costanza, Enrico
    Ramchurn, Sarvapali D.
    Seuken, Sven
    [J]. 34TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2016, 2016, : 5262 - 5273
  • [3] ASHRAE, 2013, Standard 55
  • [4] Awadelrahman M., 2017, Energy Power Eng., V9, P112, DOI [10.4236/epe.2017.94B014, DOI 10.4236/EPE.2017.94B014]
  • [5] Methods used in social sciences that suit energy research: A literature review on qualitative methods to assess the human dimension of energy use in buildings
    Bavaresco, Mateus, V
    D'Oca, Simona
    Ghisi, Enedir
    Lamberts, Roberto
    [J]. ENERGY AND BUILDINGS, 2020, 209
  • [6] Demonstration of heating demand peak shaving in smart homes
    Beltram, Lucas
    Christensen, Morten Herget
    Li, Rongling
    [J]. CLIMATE RESILIENT CITIES - ENERGY EFFICIENCY & RENEWABLES IN THE DIGITAL ERA (CISBAT 2019), 2019, 1343
  • [7] Brinkmann S., 2018, QUALITATIVE RES KIT, P57, DOI DOI 10.4135/9781529716665
  • [8] Bryman A., 2006, QUAL RES, V6, P97, DOI [DOI 10.1177/1468794106058877, 10.1177/1468794106058877]
  • [9] Experimental demonstration of data predictive control for energy optimization and thermal comfort in buildings
    Buenning, Felix
    Huber, Benjamin
    Heer, Philipp
    Aboudonia, Ahmed
    Lygeros, John
    [J]. ENERGY AND BUILDINGS, 2020, 211
  • [10] Demand side management in urban district heating networks
    Cai, Hanmin
    Ziras, Charalampos
    You, Shi
    Li, Rongling
    Honore, Kristian
    Bindner, Henrik W.
    [J]. APPLIED ENERGY, 2018, 230 : 506 - 518