IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i12p3370-d240872.html
   My bibliography  Save this article

Improvement of Human Thermal Comfort by Optimizing the Airflow Induced by a Ceiling Fan

Author

Listed:
  • Hsin-Hung Lin

    (Department of Creative Product Design, Asia University and Department of Medical Research, China Medical University Hospital, Taichung City 41354, Taiwan)

Abstract

The purpose of this study is to investigate the relationship between the greenhouse effect and the overuse of electricity and energy under a sustainable environment. The goal is to investigate the airflow that is induced by ceiling fans, by measuring human body temperature. In the simulation model, the thermal plume phenomenon is observed in the indoor environment. By changing the ceiling fan parameters, the influence of the airflow is investigated by practical measurement of human body temperature. The indoor convective heat transfer is enhanced by installing a ceiling fan, which affects the whole body thermal sensation (WBTS). Different scenarios are reviewed by adjusting the fan speed in the simulation model, so that the distribution of human body temperature can be determined. By modeling the blade plane of the ceiling fan, the airflow characteristics can be determined by making the simulation model rotate in order to assess the thermal comfort characteristics. As the ceiling fan generates circulation within the domain, the thermal comfort is significantly enhanced. By keeping a reasonable thermal comfort level, a higher room temperature or a higher heat load is allowed so that a sustainable environment can be maintained without affecting the indoor thermal comfort or the efficiency of energy usage.

Suggested Citation

  • Hsin-Hung Lin, 2019. "Improvement of Human Thermal Comfort by Optimizing the Airflow Induced by a Ceiling Fan," Sustainability, MDPI, vol. 11(12), pages 1-17, June.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:12:p:3370-:d:240872
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/12/3370/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/12/3370/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schmidt, Kersten & Patterson, Dean J., 2001. "Performance results for a high efficiency tropical ceiling fan and comparisons with conventional fans," Renewable Energy, Elsevier, vol. 22(1), pages 169-176.
    2. Ferro, L.M.C. & Gato, L.M.C. & Falcão, A.F.O., 2011. "Design of the rotor blades of a mini hydraulic bulb-turbine," Renewable Energy, Elsevier, vol. 36(9), pages 2395-2403.
    3. Holtedahl, Pernille & Joutz, Frederick L., 2004. "Residential electricity demand in Taiwan," Energy Economics, Elsevier, vol. 26(2), pages 201-224, March.
    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. Teen-Hang Meen & Yusuke Matsumoto & Ming-Shyan Wang, 2020. "Selected Papers From 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (IEEE ECBIOS 2019)," Sustainability, MDPI, vol. 12(1), pages 1-5, January.
    2. Hsin-Hung Lin & Jui-Hung Cheng, 2020. "A Study of the Simulation and Analysis of the Flow Field of Natural Convection for a Container House," Sustainability, MDPI, vol. 12(23), pages 1-28, November.
    3. Sriraj Gokarakonda & Christoph van Treeck & Rajan Rawal, 2022. "Investigating Optimum Cooling Set Point Temperature and Air Velocity for Thermal Comfort and Energy Conservation in Mixed-Mode Buildings in India," Energies, MDPI, vol. 15(6), pages 1-27, March.

    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. Agarwal, Sumit & Satyanarain, Rengarajan & Sing, Tien Foo & Vollmer, Derek, 2016. "Effects of construction activities on residential electricity consumption: Evidence from Singapore's public housing estates," Energy Economics, Elsevier, vol. 55(C), pages 101-111.
    2. Brantley Liddle, 2017. "Accounting for Nonlinearity, Asymmetry, Heterogeneity, and Cross-Sectional Dependence in Energy Modeling: US State-Level Panel Analysis," Economies, MDPI, vol. 5(3), pages 1-11, August.
    3. Kuang, Yunming & Lin, Boqiang, 2021. "Performance of tiered pricing policy for residential natural gas in China: Does the income effect matter?," Applied Energy, Elsevier, vol. 304(C).
    4. Fedoseeva, Svetlana & Zeidan, Rodrigo, 2018. "How (a)symmetric is the response of import demand to changes in its determinants? Evidence from European energy imports," Energy Economics, Elsevier, vol. 69(C), pages 379-394.
    5. Andreas Knaut & Simon Paulus, 2016. "When are consumers responding to electricity prices? An hourly pattern of demand elasticity," EWI Working Papers 2016-7, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    6. Ming-Feng Hung & Bin-Tzong Chie & Huei-Chu Liao, 2020. "A Comparison of Electricity-Pricing Programs: Economic Efficiency, Cost Recovery, and Income Distribution," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(1), pages 143-163, February.
    7. Salari, Mahmoud & Javid, Roxana J., 2016. "Residential energy demand in the United States: Analysis using static and dynamic approaches," Energy Policy, Elsevier, vol. 98(C), pages 637-649.
    8. Adom, Philip Kofi & Bekoe, William & Akoena, Sesi Kutri Komla, 2012. "Modelling aggregate domestic electricity demand in Ghana: An autoregressive distributed lag bounds cointegration approach," Energy Policy, Elsevier, vol. 42(C), pages 530-537.
    9. Karanfil, Fatih & Omgba, Luc Désiré, 2019. "Do the IMF’s structural adjustment programs help reduce energy consumption and carbon intensity? Evidence from developing countries," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 312-323.
    10. Lari Shanlang Tiewsoh & Jakub Jirásek & Martin Sivek, 2019. "Electricity Generation in India: Present State, Future Outlook and Policy Implications," Energies, MDPI, vol. 12(7), pages 1-14, April.
    11. Liao, Hua & Cao, Huai-Shu, 2018. "The pattern of electricity use in residential sector: The experiences from 133 economies," Energy, Elsevier, vol. 145(C), pages 515-525.
    12. Ahmad, Shakeel & Jia, Haifeng & Chen, Zhengxia & Li, Qian & Xu, Changqing, 2020. "Water-energy nexus and energy efficiency: A systematic analysis of urban water systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    13. Akihiro Otsuka, 2019. "Natural disasters and electricity consumption behavior: a case study of the 2011 Great East Japan Earthquake," Asia-Pacific Journal of Regional Science, Springer, vol. 3(3), pages 887-910, October.
    14. Brantley Liddle, 2013. "The Energy, Economic Growth, Urbanization Nexus Across Development: Evidence from Heterogeneous Panel Estimates Robust to Cross-Sectional Dependence," The Energy Journal, , vol. 34(2), pages 223-244, April.
    15. Yongxia Ding & Wei Qu & Shuwen Niu & Man Liang & Wenli Qiang & Zhenguo Hong, 2016. "Factors Influencing the Spatial Difference in Household Energy Consumption in China," Sustainability, MDPI, vol. 8(12), pages 1-20, December.
    16. Olexandr Yemelyanov & Anastasiya Symak & Tetyana Petrushka & Roman Lesyk & Lilia Lesyk, 2018. "Evaluation of the Adaptability of the Ukrainian Economy to Changes in Prices for Energy Carriers and to Energy Market Risks," Energies, MDPI, vol. 11(12), pages 1-34, December.
    17. Ma, Yiqun, 2016. "Demand Response Potential of Electricity End-users Facing Real Time Pricing," Research Report 16019-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    18. Yuehjen E. Shao & Yi-Shan Tsai, 2018. "Electricity Sales Forecasting Using Hybrid Autoregressive Integrated Moving Average and Soft Computing Approaches in the Absence of Explanatory Variables," Energies, MDPI, vol. 11(7), pages 1-22, July.
    19. Yang, Yingchun & Liu, Jianghua & Lin, Yingying & Li, Qiongyuan, 2019. "The impact of urbanization on China’s residential energy consumption," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 170-182.
    20. Julián Pérez-García & Julián Moral-Carcedo, 2017. "Why Electricity Demand Is Highly Income-Elastic in Spain: A Cross-Country Comparison Based on an Index-Decomposition Analysis," Energies, MDPI, vol. 10(3), pages 1-20, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:11:y:2019:i:12:p:3370-:d:240872. 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.