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Further development of a thermal comfort based fuzzy logic controller for a direct expansion air conditioning system

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  • Yan, Huaxia
  • Pan, Yan
  • Li, Zhao
  • Deng, Shiming

Abstract

The primary purpose of A/C is offering occupants with acceptable indoor thermal comfort levels. Thermal comfort is a complicated result of non-linear interactions between six parameters. However, many of current A/C systems solely control air temperature. Whenever anyone of the five parameters other than temperature varies significantly, an occupant may feel thermally uncomfortable. To address the issue, a comprehensive thermal comfort index should be used as regulator in A/C systems.

Suggested Citation

  • Yan, Huaxia & Pan, Yan & Li, Zhao & Deng, Shiming, 2018. "Further development of a thermal comfort based fuzzy logic controller for a direct expansion air conditioning system," Applied Energy, Elsevier, vol. 219(C), pages 312-324.
    • Handle: RePEc:eee:appene:v:219:y:2018:i:c:p:312-324
    DOI: 10.1016/j.apenergy.2018.03.045
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    References listed on IDEAS

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    1. Al-Sanea, Sami A. & Zedan, M.F., 2008. "Optimized monthly-fixed thermostat-setting scheme for maximum energy-savings and thermal comfort in air-conditioned spaces," Applied Energy, Elsevier, vol. 85(5), pages 326-346, May.
    2. Dounis, A. I. & Manolakis, D. E., 2001. "Design of a fuzzy system for living space thermal-comfort regulation," Applied Energy, Elsevier, vol. 69(2), pages 119-144, June.
    3. 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.
    4. Mathews, E. H. & Arndt, D. C. & Piani, C. B. & van Heerden, E., 2000. "Developing cost efficient control strategies to ensure optimal energy use and sufficient indoor comfort," Applied Energy, Elsevier, vol. 66(2), pages 135-159, June.
    5. Li, Ning & Xia, Liang & Shiming, Deng & Xu, Xiangguo & Chan, Ming-Yin, 2012. "Dynamic modeling and control of a direct expansion air conditioning system using artificial neural network," Applied Energy, Elsevier, vol. 91(1), pages 290-300.
    6. Ben-Nakhi, Abdullatif E. & Mahmoud, Mohamed A., 2002. "Energy conservation in buildings through efficient A/C control using neural networks," Applied Energy, Elsevier, vol. 73(1), pages 5-23, September.
    7. Kristl, Živa & Košir, Mitja & Trobec Lah, Mateja & Krainer, Aleš, 2008. "Fuzzy control system for thermal and visual comfort in building," Renewable Energy, Elsevier, vol. 33(4), pages 694-702.
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    Cited by:

    1. Chen, Yi & Yan, Huaxia & Luo, Yimo & Yang, Hongxing, 2019. "A proportional–integral (PI) law based variable speed technology for temperature control in indirect evaporative cooling system," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    2. Zhang, Sheng & Cheng, Yong & Liu, Jian & Lin, Zhang, 2019. "Subzone control optimization of air distribution for thermal comfort and energy efficiency under cooling load uncertainty," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    3. Esmaeilzadeh, Ahmad & Deal, Brian & Yousefi-Koma, Aghil & Zakerzadeh, Mohammad Reza, 2023. "How combination of control methods and renewable energies leads a large commercial building to a zero-emission zone – A case study in U.S," Energy, Elsevier, vol. 263(PD).
    4. Turhan, Cihan & Simani, Silvio & Gokcen Akkurt, Gulden, 2021. "Development of a personalized thermal comfort driven controller for HVAC systems," Energy, Elsevier, vol. 237(C).
    5. Ulpiani, Giulia & di Perna, Costanzo & Zinzi, Michele, 2019. "Water nebulization to counteract urban overheating: Development and experimental test of a smart logic to maximize energy efficiency and outdoor environmental quality," Applied Energy, Elsevier, vol. 239(C), pages 1091-1113.
    6. Jaesung Park & Taeyeon Kim & Chul-sung Lee, 2019. "Development of Thermal Comfort-Based Controller and Potential Reduction of the Cooling Energy Consumption of a Residential Building in Kuwait," Energies, MDPI, vol. 12(17), pages 1-22, August.

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