IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v88y2011i7p2420-2428.html
   My bibliography  Save this article

Adaptive thermal comfort model for different climatic zones of North-East India

Author

Listed:
  • Singh, Manoj Kumar
  • Mahapatra, Sadhan
  • Atreya, S.K.

Abstract

Thermal comfort standards ISO 7730 and ASHRAE 55-2004 are based on the experimental results conducted in climatic chambers and the adaptive opportunities are usually limited in these experiments. However, in naturally ventilated buildings, adaptive opportunities are not fixed and occupants always have the liberty to modify the opportunities in order to feel comfortable. A comfort survey has been carried out in three different climatic zones of North-East India in four different seasons of a year. Climatic parameters corresponding to actual mean vote (AMV) are recorded during the survey and the values are used to calculate the predicted mean vote (PMV) using ISO 7730 calculation procedures. Results show that the PMV deviates from AMV values. A corrective term [`]adaptive coefficient' is calculated based on PMV and AMV values and least square method to assess the different adaption used for thermal comfort. Theoretical adaptive models of thermal comfort have been developed based on these adaptive coefficients for the region. The adaptive coefficient values are varying for different seasons and also for different climatic zones. This reflects the various levels of adaptation in different seasons in a particular climatic zone. This adaptive coefficient can be used as a reference to thermal comfort assessment of the buildings and also can be used as dynamic control of the set temperature in the air conditioning system, which will results enormous energy saving. Result of this study also contributes towards the debate over the applicability of PMV model to naturally ventilated building.

Suggested Citation

  • Singh, Manoj Kumar & Mahapatra, Sadhan & Atreya, S.K., 2011. "Adaptive thermal comfort model for different climatic zones of North-East India," Applied Energy, Elsevier, vol. 88(7), pages 2420-2428, July.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:7:p:2420-2428
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(11)00022-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wong, L.T. & Mui, K.W., 2009. "Efficiency assessment of indoor environmental policy for air-conditioned offices in Hong Kong," Applied Energy, Elsevier, vol. 86(10), pages 1933-1938, October.
    2. Anupama Sharma & Richa Tiwari, 2007. "Evaluation of data for developing an adaptive model of thermal comfort and preference," Environment Systems and Decisions, Springer, vol. 27(1), pages 73-81, March.
    3. Indraganti, Madhavi, 2010. "Thermal comfort in naturally ventilated apartments in summer: Findings from a field study in Hyderabad, India," Applied Energy, Elsevier, vol. 87(3), pages 866-883, March.
    4. Krüger, E.L. & Diniz, W., 2011. "Relationship between indoor thermal comfort conditions and the Time Weighted Preservation Index (TWPI) in three Brazilian archives," Applied Energy, Elsevier, vol. 88(3), pages 712-723, March.
    5. Peeters, Leen & Dear, Richard de & Hensen, Jan & D'haeseleer, William, 2009. "Thermal comfort in residential buildings: Comfort values and scales for building energy simulation," Applied Energy, Elsevier, vol. 86(5), pages 772-780, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wonyoung Yang & Hyeun Jun Moon & Jin Yong Jeon, 2019. "Comparison of Response Scales as Measures of Indoor Environmental Perception in Combined Thermal and Acoustic Conditions," Sustainability, MDPI, vol. 11(14), pages 1-26, July.
    2. Hu, Jianhui & Chen, Wujun & Zhang, Sihao & Yin, Yue & Li, Yipo & Yang, Deqing, 2018. "Thermal characteristics and comfort assessment of enclosed large-span membrane stadiums," Applied Energy, Elsevier, vol. 229(C), pages 728-735.
    3. Sanjay Kumar & Manoj Kumar Singh & Nedhal Al-Tamimi & Badr S. Alotaibi & Mohammed Awad Abuhussain, 2022. "Investigation on Subjects’ Seasonal Perception and Adaptive Actions in Naturally Ventilated Hostel Dormitories in the Composite Climate Zone of India," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    4. Ahmed Ali A. Shohan & Hanan Al-Khatri & Ahmed Ali Bindajam & Mohamed B. Gadi, 2021. "Solar Gain Influence on the Thermal and Energy Performance of Existing Mosque Buildings in the Hot-Arid Climate of Riyadh City," Sustainability, MDPI, vol. 13(6), pages 1-29, March.
    5. 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).
    6. Barbeito, Inés & Zaragoza, Sonia & Tarrío-Saavedra, Javier & Naya, Salvador, 2017. "Assessing thermal comfort and energy efficiency in buildings by statistical quality control for autocorrelated data," Applied Energy, Elsevier, vol. 190(C), pages 1-17.
    7. Enescu, Diana, 2017. "A review of thermal comfort models and indicators for indoor environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1353-1379.
    8. Domenico Palladino & Iole Nardi & Cinzia Buratti, 2020. "Artificial Neural Network for the Thermal Comfort Index Prediction: Development of a New Simplified Algorithm," Energies, MDPI, vol. 13(17), pages 1-27, September.
    9. Ning, Haoran & Wang, Zhaojun & Ji, Yuchen, 2016. "Thermal history and adaptation: Does a long-term indoor thermal exposure impact human thermal adaptability?," Applied Energy, Elsevier, vol. 183(C), pages 22-30.
    10. Zhang, Sheng & Lin, Zhang, 2020. "Standard effective temperature based adaptive-rational thermal comfort model," Applied Energy, Elsevier, vol. 264(C).
    11. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    12. Yaolin Lin & Pengju Chen & Wei Yang & Xiancun Hu & Lin Tian, 2024. "A Systematic Review on the Studies of Thermal Comfort in Urban Residential Buildings in China," Energies, MDPI, vol. 17(5), pages 1-38, February.
    13. 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.
    14. Buratti, C. & Ricciardi, P. & Vergoni, M., 2013. "HVAC systems testing and check: A simplified model to predict thermal comfort conditions in moderate environments," Applied Energy, Elsevier, vol. 104(C), pages 117-127.
    15. Buratti, C. & Palladino, D. & Ricciardi, P., 2016. "Application of a new 13-value thermal comfort scale to moderate environments," Applied Energy, Elsevier, vol. 180(C), pages 859-866.
    16. Zomorodian, Zahra Sadat & Tahsildoost, Mohammad & Hafezi, Mohammadreza, 2016. "Thermal comfort in educational buildings: A review article," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 895-906.
    17. Ren, Zhengen & Chen, Dong, 2018. "Modelling study of the impact of thermal comfort criteria on housing energy use in Australia," Applied Energy, Elsevier, vol. 210(C), pages 152-166.
    18. Sally S. Shahzad & John Brennan & Dimitris Theodossopoulos & Ben Hughes & John Kaiser Calautit, 2016. "Building-Related Symptoms, Energy, and Thermal Control in the Workplace: Personal and Open Plan Offices," Sustainability, MDPI, vol. 8(4), pages 1-20, April.
    19. 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.
    20. Zuo, Jian & Zhao, Zhen-Yu, 2014. "Green building research–current status and future agenda: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 271-281.
    21. Masoud Esfandiari & Suzaini Mohamed Zaid & Muhammad Azzam Ismail & Mohammad Reza Hafezi & Iman Asadi & Saleh Mohammadi, 2021. "A Field Study on Thermal Comfort and Cooling Load Demand Optimization in a Tropical Climate," Sustainability, MDPI, vol. 13(22), pages 1-25, November.

    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. Ren, Zhengen & Chen, Dong, 2018. "Modelling study of the impact of thermal comfort criteria on housing energy use in Australia," Applied Energy, Elsevier, vol. 210(C), pages 152-166.
    2. Zhang, Sheng & Lin, Zhang, 2020. "Standard effective temperature based adaptive-rational thermal comfort model," Applied Energy, Elsevier, vol. 264(C).
    3. Zhang, Sheng & Cheng, Yong & Fang, Zhaosong & Huan, Chao & Lin, Zhang, 2017. "Optimization of room air temperature in stratum-ventilated rooms for both thermal comfort and energy saving," Applied Energy, Elsevier, vol. 204(C), pages 420-431.
    4. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    5. Buratti, C. & Ricciardi, P. & Vergoni, M., 2013. "HVAC systems testing and check: A simplified model to predict thermal comfort conditions in moderate environments," Applied Energy, Elsevier, vol. 104(C), pages 117-127.
    6. Ning, Haoran & Wang, Zhaojun & Ji, Yuchen, 2016. "Thermal history and adaptation: Does a long-term indoor thermal exposure impact human thermal adaptability?," Applied Energy, Elsevier, vol. 183(C), pages 22-30.
    7. Ascione, Fabrizio & Bellia, Laura & Capozzoli, Alfonso, 2013. "A coupled numerical approach on museum air conditioning: Energy and fluid-dynamic analysis," Applied Energy, Elsevier, vol. 103(C), pages 416-427.
    8. Pisello, Anna Laura & Goretti, Michele & Cotana, Franco, 2012. "A method for assessing buildings’ energy efficiency by dynamic simulation and experimental activity," Applied Energy, Elsevier, vol. 97(C), pages 419-429.
    9. Taleghani, Mohammad & Tenpierik, Martin & Kurvers, Stanley & van den Dobbelsteen, Andy, 2013. "A review into thermal comfort in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 201-215.
    10. Patteeuw, Dieter & Reynders, Glenn & Bruninx, Kenneth & Protopapadaki, Christina & Delarue, Erik & D’haeseleer, William & Saelens, Dirk & Helsen, Lieve, 2015. "CO2-abatement cost of residential heat pumps with active demand response: demand- and supply-side effects," Applied Energy, Elsevier, vol. 156(C), pages 490-501.
    11. Enescu, Diana, 2017. "A review of thermal comfort models and indicators for indoor environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1353-1379.
    12. Wang, Zhe & Hong, Tianzhen, 2020. "Learning occupants’ indoor comfort temperature through a Bayesian inference approach for office buildings in United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    13. Wang, Zhu & Wang, Lingfeng & Dounis, Anastasios I. & Yang, Rui, 2012. "Multi-agent control system with information fusion based comfort model for smart buildings," Applied Energy, Elsevier, vol. 99(C), pages 247-254.
    14. Rama Curiel, José Adrián & Thakur, Jagruti, 2022. "A novel approach for Direct Load Control of residential air conditioners for Demand Side Management in developing regions," Energy, Elsevier, vol. 258(C).
    15. Xu, Xiaoqi & Culligan, Patricia J. & Taylor, John E., 2014. "Energy Saving Alignment Strategy: Achieving energy efficiency in urban buildings by matching occupant temperature preferences with a building’s indoor thermal environment," Applied Energy, Elsevier, vol. 123(C), pages 209-219.
    16. Karol Bandurski & Andrzej Górka & Halina Koczyk, 2023. "Radiators Adjustment in Multi-Family Residential Buildings—An Analysis Based on Data from Heat Meters," Energies, MDPI, vol. 16(22), pages 1-22, November.
    17. Jin Wei & Fangsi Yu & Haixiu Liang & Maohui Luo, 2020. "Thermal Performance of Vertical Courtyard System in Office Buildings Under Typical Hot Days in Hot-Humid Climate Area: A Case Study," Sustainability, MDPI, vol. 12(7), pages 1-14, March.
    18. Pukšec, Tomislav & Vad Mathiesen, Brian & Duić, Neven, 2013. "Potentials for energy savings and long term energy demand of Croatian households sector," Applied Energy, Elsevier, vol. 101(C), pages 15-25.
    19. Mohammadi, Zahra & Hoes, Pieter Jan & Hensen, Jan L.M., 2020. "Simulation-based design optimization of houses with low grid dependency," Renewable Energy, Elsevier, vol. 157(C), pages 1185-1202.
    20. Arteconi, Alessia & Patteeuw, Dieter & Bruninx, Kenneth & Delarue, Erik & D’haeseleer, William & Helsen, Lieve, 2016. "Active demand response with electric heating systems: Impact of market penetration," Applied Energy, Elsevier, vol. 177(C), pages 636-648.

    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:eee:appene:v:88:y:2011:i:7:p:2420-2428. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.