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Establishment of an optimal occupant behavior considering the energy consumption and indoor environmental quality by region

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  • Kim, Jimin
  • Hong, Taehoon
  • Jeong, Jaemin
  • Lee, Myeonghwi
  • Lee, Minhyun
  • Jeong, Kwangbok
  • Koo, Choongwan
  • Jeong, Jaewook

Abstract

Reducing a building’s energy consumption and providing better indoor environmental quality (IEQ) are the two major issues that building professionals are facing all over the world. It is not easy, however, to simultaneously address both issues. Therefore, this study aimed to establish the optimal occupant behavior that can simultaneously reduce total energy consumption and improve the IEQ, using an energy simulation and optimization tool. This study also developed an integrated IEQ score by combining three different IEQ indices (i.e., thermal comfort, indoor air quality (IAQ), and visual comfort) for building users to easily understand the IEQ condition. To analyze the effects of occupant behavior by region, the education facility was selected as the target facility, and five target regions were selected considering the Köppen climate classification system and the C40 Cities Climate Leadership Group. Finally, a total of 5×1.01×1022 occupant behavior combinations can be generated in the five target regions. As a result, among the four target variables (i.e., total energy consumption, thermal comfort, IAQ, and visual comfort), the total energy consumption of the optimal solution was found to have changed most dramatically compared to that of the basic condition in terms of percentage (94.7%), due to its strong correlation with the overall occupant behavior (the highest correlation coefficient: 0.879). Therefore, it is shown that occupant behavior has more influence on the total energy consumption than on the three IEQ indices. Among the three IEQ indices, the IAQ of the optimal solution decreased most significantly compared to that of the basic condition (the highest reduction ratio: 4.04% in Ulsan), which indicates that the IAQ has more influences on the integrated IEQ score than thermal and visual comfort. The facility manager and the building user can operate the building for reducing total energy consumption and improving the IEQ considering occupant behavior, which can be used as the building management guideline in various regions.

Suggested Citation

  • Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Lee, Myeonghwi & Lee, Minhyun & Jeong, Kwangbok & Koo, Choongwan & Jeong, Jaewook, 2017. "Establishment of an optimal occupant behavior considering the energy consumption and indoor environmental quality by region," Applied Energy, Elsevier, vol. 204(C), pages 1431-1443.
    • Handle: RePEc:eee:appene:v:204:y:2017:i:c:p:1431-1443
    DOI: 10.1016/j.apenergy.2017.05.017
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    Cited by:

    1. Zhou, Ying & Wang, Yu & Li, Chenshuang & Ding, Lieyun & Yang, Zhigang, 2024. "Energy-efficiency oriented occupancy space optimization in buildings: A data-driven approach based on multi-sensor fusion considering behavior-environment integration," Energy, Elsevier, vol. 299(C).
    2. Yan, Biao & Yang, Wansheng & He, Fuquan & Zeng, Wenhao, 2023. "Occupant behavior impact in buildings and the artificial intelligence-based techniques and data-driven approach solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    3. Silvia Perez-Bezos & Anna Figueroa-Lopez & Matxalen Etxebarria-Mallea & Xabat Oregi & Rufino Javier Hernandez-Minguillon, 2022. "Assessment of Social Housing Energy and Thermal Performance in Relation to Occupants’ Behaviour and COVID-19 Influence—A Case Study in the Basque Country, Spain," Sustainability, MDPI, vol. 14(9), pages 1-22, May.
    4. Z. H. Ding & Y. Q. Li & C. Zhao & Y. Liu & R. Li, 2019. "Factors affecting heating energy-saving behavior of residents in hot summer and cold winter regions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 193-206, January.
    5. Zhikun Ding & Rongsheng Liu & Zongjie Li & Cheng Fan, 2020. "A Thematic Network-Based Methodology for the Research Trend Identification in Building Energy Management," Energies, MDPI, vol. 13(18), pages 1-33, September.
    6. Fabio Fantozzi & Hassan Hamdi & Michele Rocca & Stefano Vegnuti, 2019. "Use of Automated Control Systems and Advanced Energy Simulations in the Design of Climate Responsive Educational Building for Mediterranean Area," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
    7. Michele Roccotelli & Alessandro Rinaldi & Maria Pia Fanti & Francesco Iannone, 2020. "Building Energy Management for Passive Cooling Based on Stochastic Occupants Behavior Evaluation," Energies, MDPI, vol. 14(1), pages 1-24, December.
    8. Gaetani, Isabella & Hoes, Pieter-Jan & Hensen, Jan L.M., 2018. "Estimating the influence of occupant behavior on building heating and cooling energy in one simulation run," Applied Energy, Elsevier, vol. 223(C), pages 159-171.
    9. Wu, Wei & Skye, Harrison M. & Domanski, Piotr A., 2018. "Selecting HVAC systems to achieve comfortable and cost-effective residential net-zero energy buildings," Applied Energy, Elsevier, vol. 212(C), pages 577-591.
    10. Su, Wei & Ai, Zhengtao & Liu, Jing & Yang, Bin & Wang, Faming, 2023. "Maintaining an acceptable indoor air quality of spaces by intentional natural ventilation or intermittent mechanical ventilation with minimum energy use," Applied Energy, Elsevier, vol. 348(C).
    11. Hong, Taehoon & Kim, Jimin & Lee, Myeonghwi, 2018. "Integrated task performance score for the building occupants based on the CO2 concentration and indoor climate factors changes," Applied Energy, Elsevier, vol. 228(C), pages 1707-1713.
    12. Soheil Roumi & Fan Zhang & Rodney A. Stewart, 2022. "Global Research Trends on Building Indoor Environmental Quality Modelling and Indexing Systems—A Scientometric Review," Energies, MDPI, vol. 15(12), pages 1-26, June.
    13. Hong, Taehoon & Kim, Jimin & Lee, Minhyun, 2019. "A multi-objective optimization model for determining the building design and occupant behaviors based on energy, economic, and environmental performance," Energy, Elsevier, vol. 174(C), pages 823-834.
    14. Mei, Jun & Xia, Xiaohua & Song, Mengjie, 2018. "An autonomous hierarchical control for improving indoor comfort and energy efficiency of a direct expansion air conditioning system," Applied Energy, Elsevier, vol. 221(C), pages 450-463.

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