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Using Thermostats for Indoor Climate Control in Office Buildings: The Effect on Thermal Comfort

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  • Georgios D. Kontes

    (Department of Mechanical Engineering and Building Services Engineering, Technische Hochschule Nürnberg Georg Simon Ohm, 90489 Nuremberg, Germany
    Technical Building Systems Group, Nuremberg Branch, Department of Energy Efficiency and Indoor Climate, Fraunhofer Institute for Building Physics, 90429 Nuremberg, Germany)

  • Georgios I. Giannakis

    (School of Production Engineering and Management, Technical University of Crete, Chania 73100, Greece)

  • Philip Horn

    (Energy Department, Austrian Institute of Technology, 1220 Vienna, Austria)

  • Simone Steiger

    (Technical Building Systems Group, Nuremberg Branch, Department of Energy Efficiency and Indoor Climate, Fraunhofer Institute for Building Physics, 90429 Nuremberg, Germany)

  • Dimitrios V. Rovas

    (The Bartlett School of Environment, Energy and Resources, Faculty of the Built Environment, University College London, London WC1E 6BT, UK)

Abstract

Thermostats are widely used in temperature regulation of indoor spaces and have a direct impact on energy use and occupant thermal comfort. Existing guidelines make recommendations for properly selecting set points to reduce energy use, but there is little or no information regarding the actual achieved thermal comfort of the occupants. While dry-bulb air temperature measured at the thermostat location is sometimes a good proxy, there is less understanding of whether thermal comfort targets are actually met. In this direction, we have defined an experimental simulation protocol involving two office buildings; the buildings have contrasting geometrical and construction characteristics, as well as different building services systems for meeting heating and cooling demands. A parametric analysis is performed for combinations of controlled variables and boundary conditions. In all cases, occupant thermal comfort is estimated using the Fanger index, as defined in ISO 7730. The results of the parametric study suggest that simple bounds on the dry-bulb air temperature are not sufficient to ensure comfort, and in many cases, more detailed considerations taking into account building characteristics, as well as the types of building heating and cooling services are required. The implication is that the calculation or estimation of detailed comfort indices, or even the use of personalised comfort models, is key towards a more human-centric approach to building design and operation.

Suggested Citation

  • Georgios D. Kontes & Georgios I. Giannakis & Philip Horn & Simone Steiger & Dimitrios V. Rovas, 2017. "Using Thermostats for Indoor Climate Control in Office Buildings: The Effect on Thermal Comfort," Energies, MDPI, vol. 10(9), pages 1-22, September.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1368-:d:111462
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    References listed on IDEAS

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    2. Abdelhakim Mesloub & Aritra Ghosh & Mabrouk Touahmia & Ghazy Abdullah Albaqawy & Emad Noaime & Badr M. Alsolami, 2020. "Performance Analysis of Photovoltaic Integrated Shading Devices (PVSDs) and Semi-Transparent Photovoltaic (STPV) Devices Retrofitted to a Prototype Office Building in a Hot Desert Climate," Sustainability, MDPI, vol. 12(23), pages 1-17, December.
    3. Hwang, Ruey-Lung & Chen, Wei-An, 2022. "Creating glazed facades performance map based on energy and thermal comfort perspective for office building design strategies in Asian hot-humid climate zone," Applied Energy, Elsevier, vol. 311(C).
    4. Muhammad Saidu Aliero & Muhammad Asif & Imran Ghani & Muhammad Fermi Pasha & Seung Ryul Jeong, 2022. "Systematic Review Analysis on Smart Building: Challenges and Opportunities," Sustainability, MDPI, vol. 14(5), pages 1-28, March.
    5. Georgios D. Kontes & Georgios I. Giannakis & Víctor Sánchez & Pablo De Agustin-Camacho & Ander Romero-Amorrortu & Natalia Panagiotidou & Dimitrios V. Rovas & Simone Steiger & Christopher Mutschler & G, 2018. "Simulation-Based Evaluation and Optimization of Control Strategies in Buildings," Energies, MDPI, vol. 11(12), pages 1-23, December.
    6. Edson Manyumbu & Viktoria Martin & Justin Ningwei Chiu, 2023. "Prospective PCM–Desiccant Combination with Solar-Assisted Regeneration for the Indoor Comfort Control of an Office in a Warm and Humid Climate—A Numerical Study," Energies, MDPI, vol. 16(14), pages 1-14, July.
    7. Haiying, Wang & Fengming, Zhang & Jiankai, Li & Hang, Meng & Huxiang, Lin, 2024. "Effects of different zoning thermostat controls on thermal comfort and cooling energy consumption in reading rooms of a library," Energy, Elsevier, vol. 292(C).
    8. Ali Bagheri & Véronique Feldheim & Christos S. Ioakimidis, 2018. "On the Evolution and Application of the Thermal Network Method for Energy Assessments in Buildings," Energies, MDPI, vol. 11(4), pages 1-20, April.
    9. Saha, Kiran Kumar & Sukavanam, N., 2023. "Existence and uniqueness of blow-up solution to a fully fractional thermostat model," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    10. Piotr Michalak, 2021. "Selected Aspects of Indoor Climate in a Passive Office Building with a Thermally Activated Building System: A Case Study from Poland," Energies, MDPI, vol. 14(4), pages 1-22, February.

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