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Assessment of Thermal Comfort in the Intelligent Buildings in View of Providing High Quality Indoor Environment

Author

Listed:
  • Grzegorz Majewski

    (District Court, Warszawska 1, 26-610 Radom, Poland)

  • Łukasz J. Orman

    (Faculty of Environmental, Geomatic and Energy Engineering Kielce University of Technology, 25-314 Kielce, Poland)

  • Marek Telejko

    (Faculty of Civil Engineering and Architecture, Kielce University of Technology, 25-314 Kielce, Poland)

  • Norbert Radek

    (Mechatronics and Mechanical Engineering, Kielce University of Technology, 25-314 Kielce, Poland)

  • Jacek Pietraszek

    (Faculty of Mechanical Engineering, Cracow University of Technology, 31-864 Cracow, Poland)

  • Agata Dudek

    (Institute of Materials Engineering, Czestochowa University of Technology, 42-200 Częstochowa, Poland)

Abstract

The paper analyses the indoor environment in two modern intelligent buildings located in Poland. Measurements of air and globe temperatures, relative humidity and carbon dioxide concentration in 117 rooms carried out in the space of 1.5 years were presented. Thermal comfort of the occupants has been investigated using a questionnaire survey. Based on 1369 questionnaires, thermal sensation, acceptability and preference votes were analysed in view of their interdependency as well as their dependency on operative temperature, which proved to be very strong. It has been found that the respondents did not completely rate thermal comfort and indoor environment quality as very high, although the overwhelming sensations were positive. Apart from the operation of heating, ventilation and air conditioning (HVAC) systems, this might have also been the cause of individual human factors, such as body mass index, as tested in the study, or the finding that people were generally in favour of a warmer environment. Moreover, thermal environment proved to be the most important element for ensuring the well-being of the occupants.

Suggested Citation

  • Grzegorz Majewski & Łukasz J. Orman & Marek Telejko & Norbert Radek & Jacek Pietraszek & Agata Dudek, 2020. "Assessment of Thermal Comfort in the Intelligent Buildings in View of Providing High Quality Indoor Environment," Energies, MDPI, vol. 13(8), pages 1-20, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:8:p:1973-:d:346393
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    References listed on IDEAS

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    1. Roberto Robledo-Fava & Mónica C. Hernández-Luna & Pedro Fernández-de-Córdoba & Humberto Michinel & Sonia Zaragoza & A Castillo-Guzman & Romeo Selvas-Aguilar, 2019. "Analysis of the Influence Subjective Human Parameters in the Calculation of Thermal Comfort and Energy Consumption of Buildings," Energies, MDPI, vol. 12(8), pages 1-23, April.
    2. Siano, Pierluigi, 2014. "Demand response and smart grids—A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 461-478.
    3. Yaser Imad Alamin & María Del Mar Castilla & José Domingo Álvarez & Antonio Ruano, 2017. "An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building," Energies, MDPI, vol. 10(3), pages 1-18, March.
    4. Sung Hyup Hong & Jong Man Lee & Jin Woo Moon & Kwang Ho Lee, 2018. "Thermal Comfort, Energy and Cost Impacts of PMV Control Considering Individual Metabolic Rate Variations in Residential Building," Energies, MDPI, vol. 11(7), pages 1-21, July.
    5. Paulína Šujanová & Monika Rychtáriková & Tiago Sotto Mayor & Affan Hyder, 2019. "A Healthy, Energy-Efficient and Comfortable Indoor Environment, a Review," Energies, MDPI, vol. 12(8), pages 1-37, April.
    6. Diana Enescu, 2019. "Models and Indicators to Assess Thermal Sensation Under Steady-State and Transient Conditions," Energies, MDPI, vol. 12(5), pages 1-43, March.
    7. Guedes, Manuel Correia & Matias, Luís & Santos, Carlos Pina, 2009. "Thermal comfort criteria and building design: Field work in Portugal," Renewable Energy, Elsevier, vol. 34(11), pages 2357-2361.
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    Cited by:

    1. Jongyeon Lim & Wonjun Choi, 2022. "Influence of a Better Prediction of Thermal Satisfaction for the Implementation of an HVAC-Based Demand Response Strategy," Energies, MDPI, vol. 15(9), pages 1-11, April.
    2. Imre Csáky, 2021. "Analysis of Daily Energy Demand for Cooling in Buildings with Different Comfort Categories—Case Study," Energies, MDPI, vol. 14(15), pages 1-17, August.
    3. Elnour, Mariam & Fadli, Fodil & Himeur, Yassine & Petri, Ioan & Rezgui, Yacine & Meskin, Nader & Ahmad, Ahmad M., 2022. "Performance and energy optimization of building automation and management systems: Towards smart sustainable carbon-neutral sports facilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    4. Piotr Michalak, 2022. "Thermal Network Model for an Assessment of Summer Indoor Comfort in a Naturally Ventilated Residential Building," Energies, MDPI, vol. 15(10), pages 1-19, May.
    5. Przemysław Markiewicz-Zahorski & Joanna Rucińska & Małgorzata Fedorczak-Cisak & Michał Zielina, 2021. "Building Energy Performance Analysis after Changing Its Form of Use from an Office to a Residential Building," Energies, MDPI, vol. 14(3), pages 1-24, January.

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