IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i16p6060-d1220352.html
   My bibliography  Save this article

Development of Adaptive Model and Occupant Behavior Model in Four Office Buildings in Nagasaki, Japan

Author

Listed:
  • Kahori Genjo

    (Graduate School of Engineering, Nagasaki University, 1-14 Bunkyo-machi, Nagasaki 852-8521, Japan)

  • Haruna Nakanishi

    (Graduate School of Engineering, Nagasaki University, 1-14 Bunkyo-machi, Nagasaki 852-8521, Japan)

  • Momoka Oki

    (Graduate School of Engineering, Nagasaki University, 1-14 Bunkyo-machi, Nagasaki 852-8521, Japan)

  • Hikaru Imagawa

    (Department of Architecture, Faculty of Engineering, Osaka Institute of Technology, 5-16-1 Omiya, Asahi-ku, Osaka 535-8585, Japan)

  • Tomoko Uno

    (Department of Architecture, School of Architecture, Mukogawa Women’s University, 1-13 Tozaki-cho, Nishinomiya 663-8121, Japan)

  • Teruyuki Saito

    (Graduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan)

  • Hiroshi Takata

    (Faculty of Environmental Studies, Hiroshima Institute of Technology, 2-1-1 Miyake, Saeki-ku, Hiroshima 731-5193, Japan)

  • Kazuyo Tsuzuki

    (Department of Architecture, Faculty of Environmental and Urban Engineering, Kansai University, 3-3-35 Yamate-cho, Osaka 564-8680, Japan)

  • Takashi Nakaya

    (Department of Architecture, Faculty of Engineering, Shinshu University, 4-17-1 Wakasato, Nagano 380-8553, Japan)

  • Daisaku Nishina

    (Graduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima 739-8527, Japan)

  • Kenichi Hasegawa

    (Department of Architecture and Environment Systems, Akita Prefectural University, 84-4 Tsuchiya, Akita 015-0055, Japan)

  • Taro Mori

    (Graduate School of Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo 060-8628, Japan)

  • Hom Bahadur Rijal

    (Department of Restoration Ecology and Built Environment, Tokyo City University, 3-3-1 Ushikubo-nishi, Tsuzuki-ku, Yokohama 224-8551, Japan)

Abstract

A field survey of indoor environmental measurements and questionnaires on thermal sensation, overall comfort, and behaviors was conducted in four office buildings in Japan by visiting each office every month over a duration of more than a year during the coronavirus disease 2019 (COVID-19) pandemic. The indoor environment was measured concurrently. We obtained 1047 votes from office workers in their 20s to 60s. The regression and Griffiths’ methods were used to calculate the indoor comfort temperature. A logistic regression analysis was used to develop the occupant behavior model. Over 70% of the occupants found the indoor environment comfortable at a mean comfort temperature of 23.2 to 25.9 °C. Gender differences were observed in thermal sensation and overall comfort, but a gender difference was observed only in the cooling mode for the indoor comfort temperature. An adaptive model was developed for the office buildings in Nagasaki city to predict the indoor comfort temperature from the outdoor air temperature. The proportions of heating, cooling, and fan usage can be predicted from the outdoor air temperature using a logistic regression analysis. The adaptive model and occupant behavior model are useful for the indoor temperature control of the existing buildings and thermal simulation of the new building design.

Suggested Citation

  • Kahori Genjo & Haruna Nakanishi & Momoka Oki & Hikaru Imagawa & Tomoko Uno & Teruyuki Saito & Hiroshi Takata & Kazuyo Tsuzuki & Takashi Nakaya & Daisaku Nishina & Kenichi Hasegawa & Taro Mori & Hom Ba, 2023. "Development of Adaptive Model and Occupant Behavior Model in Four Office Buildings in Nagasaki, Japan," Energies, MDPI, vol. 16(16), pages 1-30, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:6060-:d:1220352
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/16/6060/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/16/6060/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wu, Zhibin & Li, Nianping & Wargocki, Pawel & Peng, Jingqing & Li, Jingming & Cui, Haijiao, 2019. "Field study on thermal comfort and energy saving potential in 11 split air-conditioned office buildings in Changsha, China," Energy, Elsevier, vol. 182(C), pages 471-482.
    2. Prativa Lamsal & Sushil Bahadur Bajracharya & Hom Bahadur Rijal, 2023. "A Review on Adaptive Thermal Comfort of Office Building for Energy-Saving Building Design," Energies, MDPI, vol. 16(3), pages 1-23, February.
    3. Supriya Khadka & Hom B. Rijal & Katsunori Amano & Teruyuki Saito & Hikaru Imagawa & Tomoko Uno & Kahori Genjo & Hiroshi Takata & Kazuyo Tsuzuki & Takashi Nakaya & Daisaku Nishina & Kenichi Hasegawa & , 2022. "Study on Winter Comfort Temperature in Mixed Mode and HVAC Office Buildings in Japan," Energies, MDPI, vol. 15(19), pages 1-19, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Prativa Lamsal & Sushil Bahadur Bajracharya & Hom Bahadur Rijal, 2023. "A Review on Adaptive Thermal Comfort of Office Building for Energy-Saving Building Design," Energies, MDPI, vol. 16(3), pages 1-23, February.
    2. Panagiotis Michailidis & Iakovos Michailidis & Dimitrios Vamvakas & Elias Kosmatopoulos, 2023. "Model-Free HVAC Control in Buildings: A Review," Energies, MDPI, vol. 16(20), pages 1-45, October.
    3. Yang, Zixu & Sun, Hongli & Wang, Baolong & Xiao, Hansong & Dong, Xian & Shi, Wenxing & Lin, Borong, 2022. "Experimental investigation on indoor environment and energy performance of convective terminals," Energy, Elsevier, vol. 251(C).
    4. Mehdi Makvandi & Xilin Zhou & Chuancheng Li & Qinli Deng, 2021. "A Field Investigation on Adaptive Thermal Comfort in an Urban Environment Considering Individuals’ Psychological and Physiological Behaviors in a Cold-Winter of Wuhan," Sustainability, MDPI, vol. 13(2), pages 1-29, January.
    5. Iasmin Lourenço Niza & Evandro Eduardo Broday, 2022. "An Analysis of Thermal Comfort Models: Which One Is Suitable Model to Assess Thermal Reality in Brazil?," Energies, MDPI, vol. 15(15), pages 1-19, July.
    6. Wang, Jingjie & Qiu, Rujia & Xu, Bin & Wu, Hongbin & Tang, Longjiang & Zhang, Mingxing & Ding, Ming, 2023. "Aggregated large-scale air-conditioning load: Modeling and response capability evaluation of virtual generator units," Energy, Elsevier, vol. 276(C).
    7. Xinzhi Gong & Qinglin Meng & Yilei Yu, 2021. "A Field Study on Thermal Comfort in Multi-Storey Residential Buildings in the Karst Area of Guilin," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    8. Zhang, Sheng & Lin, Zhang, 2020. "Standard effective temperature based adaptive-rational thermal comfort model," Applied Energy, Elsevier, vol. 264(C).
    9. Tongtong Ji & Tao Zhang & Hiroatsu Fukuda, 2024. "Thermal Comfort Research on the Rural Elderly in the Guanzhong Region: A Comparative Analysis Based on Age Stratification of Residential Environments," Sustainability, MDPI, vol. 16(14), pages 1-26, July.
    10. Cai, Shanshan & Li, Xu & Yang, Ling & Hua, Zhipeng & Li, Song & Tu, Zhengkai, 2024. "Demand flexibility and its impact on a PEM fuel cell-based integrated energy supply system with humidity control," Renewable Energy, Elsevier, vol. 228(C).
    11. Xie, Xing & Chen, Xing-ni & Xu, Bin & Pei, Gang, 2022. "Investigation of occupied/unoccupied period on thermal comfort in Guangzhou: Challenges and opportunities of public buildings with high window-wall ratio," Energy, Elsevier, vol. 244(PB).
    12. Naja Aqilah & Hom Bahadur Rijal & Sheikh Ahmad Zaki, 2022. "A Review of Thermal Comfort in Residential Buildings: Comfort Threads and Energy Saving Potential," Energies, MDPI, vol. 15(23), pages 1-23, November.
    13. Jiale Tang & Kuixing Liu & Weijie You & Xinyu Zhang & Tuomi Zhang, 2023. "Research on Online Temperature Prediction Method for Office Building Interiors Based on Data Mining," Energies, MDPI, vol. 16(14), pages 1-19, July.
    14. Yuang Guo & Dewancker Bart, 2020. "Optimization of Design Parameters for Office Buildings with Climatic Adaptability Based on Energy Demand and Thermal Comfort," Sustainability, MDPI, vol. 12(9), pages 1-23, April.
    15. Tyler R. Stevens & Nathan B. Crane & Rydge B. Mulford, 2023. "Topology Morphing Insulation: A Review of Technologies and Energy Performance in Dynamic Building Insulation," Energies, MDPI, vol. 16(19), pages 1-38, October.
    16. Chuan Chen & Mengshu He & Zihan Chu & Lishi He & Jiale Zhu & Yuan Bu & Jiangjun Wan & Lingqing Zhang, 2022. "Field Study on Indoor Thermal Environments of Monastic Houses and Thermal Comfort of Monks," IJERPH, MDPI, vol. 20(1), pages 1-20, December.
    17. Du, Chenqiu & Li, Baizhan & Yu, Wei & Liu, Hong & Yao, Runming, 2019. "Energy flexibility for heating and cooling based on seasonal occupant thermal adaptation in mixed-mode residential buildings," Energy, Elsevier, vol. 189(C).
    18. Xinyu Gao & Ze Li & Jiabang Yu & Jiayi Gao & Xiaohu Yang & Bengt Sundén, 2023. "Thermo-Economic Performance Analysis of Modified Latent Heat Storage System for Residential Heating," Energies, MDPI, vol. 16(19), pages 1-19, September.
    19. Liang Xie & Lai Fan & Dayu Zhang & Jixin Liu, 2023. "Passive Energy Conservation Strategies for Mitigating Energy Consumption and Reducing CO 2 Emissions in Traditional Dwellings of Peking Area, China," Sustainability, MDPI, vol. 15(23), pages 1-24, November.
    20. Lichen Su & Jinlong Ouyang & Li Yang, 2023. "Mixed-Mode Ventilation Based on Adjustable Air Velocity for Energy Benefits in Residential Buildings," Energies, MDPI, vol. 16(6), pages 1-17, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:6060-:d:1220352. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.