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Dynamic interdependence of comfortable thermal conditions and energy efficiency increase in a nursery school building for heating and cooling period

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  • Buyak, Nadia
  • Deshko, Valeriy
  • Bilous, Inna
  • Pavlenko, Anatoliy
  • Sapunov, Anatoliy
  • Biriukov, Dmytro

Abstract

The paper studies the influence of building function and orientation, level of thermal insulation on energy efficiency and occupant thermal comfort dynamic interdependence. Energy state dynamic modelling of the typical preschool educational facility (Kyiv, Ukraine) was carried out with different levels of thermal comfort in each of the zones, taking into account occupants' activity, metabolism, clothing, etc. The research was conducted for the heating and cooling periods, taking into account the operational peculiarities of the building. Increasing the thermal resistance from the base version to the Swedish norms reduces energy consumption by 32% for the heating period, compared to the base version. The introduction of intermittent heating leads to a reduction of energy consumption by 14%, compared to the base version. Intermittent heating and ventilation and increased thermal protection to Swedish standards can reduce energy consumption by 42%. The investigation of comfort indicators revealed that during the transition period when the heating is turned off, electric heating of the premises is required to maintain the comfort conditions, which increases the heating energy consumption by 18%. Three different options for children's clothing in the summer period to avoid feeling cold were investigated.

Suggested Citation

  • Buyak, Nadia & Deshko, Valeriy & Bilous, Inna & Pavlenko, Anatoliy & Sapunov, Anatoliy & Biriukov, Dmytro, 2023. "Dynamic interdependence of comfortable thermal conditions and energy efficiency increase in a nursery school building for heating and cooling period," Energy, Elsevier, vol. 283(C).
    • Handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223024702
    DOI: 10.1016/j.energy.2023.129076
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    References listed on IDEAS

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    1. Lee, Minjung & Ham, Jeonggyun & Lee, Jeong-Won & Cho, Honghyun, 2023. "Analysis of thermal comfort, energy consumption, and CO2 reduction of indoor space according to the type of local heating under winter rest conditions," Energy, Elsevier, vol. 268(C).
    2. Mao, Ning & Hao, Jingyu & He, Tianbiao & Song, Mengjie & Xu, Yingjie & Deng, Shiming, 2019. "PMV-based dynamic optimization of energy consumption for a residential task/ambient air conditioning system in different climate zones," Renewable Energy, Elsevier, vol. 142(C), pages 41-54.
    3. Wang, Ran & Lu, Shilei & Feng, Wei, 2020. "A three-stage optimization methodology for envelope design of passive house considering energy demand, thermal comfort and cost," Energy, Elsevier, vol. 192(C).
    4. Ismail, Nagham & Ouahrani, Djamel, 2022. "Modelling of cooling radiant cubicle for an office room to test cooling performance, thermal comfort and energy savings in hot climates," Energy, Elsevier, vol. 244(PB).
    5. Song, Bing & Bai, Lujian & Yang, Liu, 2022. "Analysis of the long-term effects of solar radiation on the indoor thermal comfort in office buildings," Energy, Elsevier, vol. 247(C).
    6. Bienvenido-Huertas, David & Sánchez-García, Daniel & Rubio-Bellido, Carlos, 2020. "Comparison of energy conservation measures considering adaptive thermal comfort and climate change in existing Mediterranean dwellings," Energy, Elsevier, vol. 190(C).
    7. Ascione, Fabrizio & Bianco, Nicola & Maria Mauro, Gerardo & Napolitano, Davide Ferdinando, 2019. "Building envelope design: Multi-objective optimization to minimize energy consumption, global cost and thermal discomfort. Application to different Italian climatic zones," Energy, Elsevier, vol. 174(C), pages 359-374.
    8. Singh, Manoj Kumar & Attia, Shady & Mahapatra, Sadhan & Teller, Jacques, 2016. "Assessment of thermal comfort in existing pre-1945 residential building stock," Energy, Elsevier, vol. 98(C), pages 122-134.
    9. Paolo Maria Congedo & Delia D’Agostino & Cristina Baglivo & Giuliano Tornese & Ilaria Zacà, 2016. "Efficient Solutions and Cost-Optimal Analysis for Existing School Buildings," Energies, MDPI, vol. 9(10), pages 1-24, October.
    10. Geraldi, Matheus Soares & Ghisi, Enedir, 2022. "Integrating evidence-based thermal satisfaction in energy benchmarking: A data-driven approach for a whole-building evaluation," Energy, Elsevier, vol. 244(PB).
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