IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i9p1792-d230241.html
   My bibliography  Save this article

Investigation of Thermal Comfort Responses with Fuzzy Logic

Author

Listed:
  • József Menyhárt

    (Department of Mechanical Engineering, Faculty of Debrecen, Ótemető street 2-4, 4028 Debrecen, Hungary)

  • Ferenc Kalmár

    (Department of Building Services and Building Engineering; Faculty of Debrecen, Ótemető street 2-4, 4028 Debrecen, Hungary)

Abstract

In order to reduce the energy consumption of buildings a series of new heating, ventilation and air conditioning strategies, methods, and equipment are developed. The architectural trends show that office and educational buildings have large glazed areas, so the thermal comfort is influenced both by internal and external factors and discomfort parameters may affect the overall thermal sensation of occupants. Different studies have shown that the predictive mean vote (PMV)—predictive percentage of dissatisfied (PPD) model poorly evaluates the thermal comfort in real buildings. At the University of Debrecen a new personalized ventilation system (ALTAIR) was developed. A series of measurements were carried out in order to test ALTAIR involving 40 subjects, out of which 20 female (10 young and 10 elderly) and 20 male (10 young and 10 elderly) persons. Based on the responses of subjects related to indoor environment quality, a new comfort index was determined using fuzzy logic. Taking into consideration the responses related to thermal comfort sensation and perception of odor intensity a new the fuzzy comfort index was 5.85 on a scale from 1–10.

Suggested Citation

  • József Menyhárt & Ferenc Kalmár, 2019. "Investigation of Thermal Comfort Responses with Fuzzy Logic," Energies, MDPI, vol. 12(9), pages 1-13, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1792-:d:230241
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/9/1792/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/9/1792/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Isaac, Morna & van Vuuren, Detlef P., 2009. "Modeling global residential sector energy demand for heating and air conditioning in the context of climate change," Energy Policy, Elsevier, vol. 37(2), pages 507-521, February.
    2. Ürge-Vorsatz, Diana & Cabeza, Luisa F. & Serrano, Susana & Barreneche, Camila & Petrichenko, Ksenia, 2015. "Heating and cooling energy trends and drivers in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 85-98.
    3. Cristina Baglivo & Paolo Maria Congedo & Matteo Di Cataldo & Luigi Damiano Coluccia & Delia D’Agostino, 2017. "Envelope Design Optimization by Thermal Modelling of a Building in a Warm Climate," Energies, MDPI, vol. 10(11), pages 1-34, November.
    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. Levesque, Antoine & Pietzcker, Robert C. & Baumstark, Lavinia & De Stercke, Simon & Grübler, Arnulf & Luderer, Gunnar, 2018. "How much energy will buildings consume in 2100? A global perspective within a scenario framework," Energy, Elsevier, vol. 148(C), pages 514-527.
    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. Imre Csáky & Tünde Kalmár & Ferend Kalmár, 2019. "Operation Testing of an Advanced Personalized Ventilation System," Energies, MDPI, vol. 12(9), pages 1-13, April.
    2. Florian Knobloch & Hector Pollitt & Unnada Chewpreecha & Vassilis Daioglou & Jean-Francois Mercure, 2017. "Simulating the deep decarbonisation of residential heating for limiting global warming to 1.5C," Papers 1710.11019, arXiv.org, revised May 2018.
    3. Hartin, Corinne & Link, Robert & Patel, Pralit & Mundra, Anupriya & Horowitz, Russell & Dorheim, Kalyn & Clarke, Leon, 2021. "Integrated modeling of human-earth system interactions: An application of GCAM-fusion," Energy Economics, Elsevier, vol. 103(C).
    4. Alessio Mastrucci & Edward Byers & Shonali Pachauri & Narasimha Rao & Bas Ruijven, 2022. "Cooling access and energy requirements for adaptation to heat stress in megacities," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(8), pages 1-16, December.
    5. Sachs, Julia & Moya, Diego & Giarola, Sara & Hawkes, Adam, 2019. "Clustered spatially and temporally resolved global heat and cooling energy demand in the residential sector," Applied Energy, Elsevier, vol. 250(C), pages 48-62.
    6. Filippo Pavanello & Enrica Cian & Marinella Davide & Malcolm Mistry & Talita Cruz & Paula Bezerra & Dattakiran Jagu & Sebastian Renner & Roberto Schaeffer & André F. P. Lucena, 2021. "Air-conditioning and the adaptation cooling deficit in emerging economies," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    7. Friess, Wilhelm A. & Rakhshan, Kambiz, 2017. "A review of passive envelope measures for improved building energy efficiency in the UAE," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 485-496.
    8. Dominik Keiner & Larissa D.S.N.S. Barbosa & Dmitrii Bogdanov & Arman Aghahosseini & Ashish Gulagi & Solomon Oyewo & Michael Child & Siavash Khalili & Christian Breyer, 2021. "Global-Local Heat Demand Development for the Energy Transition Time Frame Up to 2050," Energies, MDPI, vol. 14(13), pages 1-51, June.
    9. Krzysztof Grygierek & Joanna Ferdyn-Grygierek & Anna Gumińska & Łukasz Baran & Magdalena Barwa & Kamila Czerw & Paulina Gowik & Klaudia Makselan & Klaudia Potyka & Agnes Psikuta, 2020. "Energy and Environmental Analysis of Single-Family Houses Located in Poland," Energies, MDPI, vol. 13(11), pages 1-25, May.
    10. Edelenbosch, OY & Rovelli, D & Levesque, A & Marangoni, G & Tavoni, M, 2021. "Long term, cross-country effects of buildings insulation policies," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    11. Qiong He & S. Thomas Ng & Md. Uzzal Hossain & Martin Skitmore, 2019. "Energy-Efficient Window Retrofit for High-Rise Residential Buildings in Different Climatic Zones of China," Sustainability, MDPI, vol. 11(22), pages 1-19, November.
    12. Delorit, Justin D. & Schuldt, Steven J. & Chini, Christopher M., 2020. "Evaluating an adaptive management strategy for organizational energy use under climate uncertainty," Energy Policy, Elsevier, vol. 142(C).
    13. Michailidis, Iakovos T. & Schild, Thomas & Sangi, Roozbeh & Michailidis, Panagiotis & Korkas, Christos & Fütterer, Johannes & Müller, Dirk & Kosmatopoulos, Elias B., 2018. "Energy-efficient HVAC management using cooperative, self-trained, control agents: A real-life German building case study," Applied Energy, Elsevier, vol. 211(C), pages 113-125.
    14. Clara Camarasa & Érika Mata & Juan Pablo Jiménez Navarro & Janet Reyna & Paula Bezerra & Gerd Brantes Angelkorte & Wei Feng & Faidra Filippidou & Sebastian Forthuber & Chioke Harris & Nina Holck Sandb, 2022. "A global comparison of building decarbonization scenarios by 2050 towards 1.5–2 °C targets," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    15. Olonscheck, Mady & Walther, Carsten & Lüdeke, Matthias & Kropp, Jürgen P., 2015. "Feasibility of energy reduction targets under climate change: The case of the residential heating energy sector of the Netherlands," Energy, Elsevier, vol. 90(P1), pages 560-569.
    16. Levesque, Antoine & Pietzcker, Robert C. & Luderer, Gunnar, 2019. "Halving energy demand from buildings: The impact of low consumption practices," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 253-266.
    17. Ferdinando Salata & Anna Tarsitano & Iacopo Golasi & Emanuele De Lieto Vollaro & Massimo Coppi & Andrea De Lieto Vollaro, 2016. "Application of Absorption Systems Powered by Solar Ponds in Warm Climates for the Air Conditioning in Residential Buildings," Energies, MDPI, vol. 9(10), pages 1-18, October.
    18. Das, Rajat Subhra & Jain, Sanjeev, 2015. "Simulation of potential standalone liquid desiccant cooling cycles," Energy, Elsevier, vol. 81(C), pages 652-661.
    19. Alessio Mastrucci & Bas Ruijven & Edward Byers & Miguel Poblete-Cazenave & Shonali Pachauri, 2021. "Global scenarios of residential heating and cooling energy demand and CO2 emissions," Climatic Change, Springer, vol. 168(3), pages 1-26, October.
    20. Serrano, Susana & Ürge-Vorsatz, Diana & Barreneche, Camila & Palacios, Anabel & Cabeza, Luisa F., 2017. "Heating and cooling energy trends and drivers in Europe," Energy, Elsevier, vol. 119(C), pages 425-434.

    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:12:y:2019:i:9:p:1792-:d:230241. 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.