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Energy-Saving Potential of Extending Temperature Set-Points in a VRF Air-Conditioned Building

Author

Listed:
  • Joowook Kim

    (Center for Built Environment, Sungkyunkwan University, Suwon 16419, Korea)

  • Doosam Song

    (School of Civil, Architectural Engineering and Landscape Architecture, Sungkyunkwan University, Suwon 16419, Korea)

  • Suyeon Kim

    (Graduate School, Sungkyunkwan University, Suwon 16419, Korea)

  • Sohyun Park

    (Graduate School, Sungkyunkwan University, Suwon 16419, Korea)

  • Youngjin Choi

    (Department of Architectural Engineering, Kyonggi University, Suwon 16227, Korea)

  • Hyunwoo Lim

    (Ecotope, Inc., 1917 1st Ave., Seattle, WA 98101, USA)

Abstract

Building energy savings and occupant thermal comfort are the main issues in building technology. As such, the development of energy-efficient heating, ventilation, and air-conditioning (HVAC) systems and the control strategies of HVAC systems are emerging as important topics in the HVAC industry. Variable refrigerant flow (VRF) systems have efficient energy performance, so the use of VRF systems in buildings is increasing. However, most studies on VRF systems focus on improving mechanical efficiency, with few studies on energy-efficient control while satisfying the thermal comfort of occupants. The goal is to estimate the energy-saving potential of adjusting the temperature set-points and dead-band (range) in VRF air-conditioned building. To do so, we analyzed the influence of control strategies of a VRF system on human thermal comfort and energy consumption using a simulation method. The results showed that energy consumption can be reduced by 25.4% for predicted mean vote (PMV)-based control and 27.0% for the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) comfort range control compared with the typical set-point temperature control of a VRF system. The indoor thermal environments of the analyzed control strategies are controlled in the thermal comfort range, which is based on a PMV at ±0.5. Compared with the typical set-point control, PMV and ASHRAE comfort range-based control reduced the operation time of the compressor in the VRF system.

Suggested Citation

  • Joowook Kim & Doosam Song & Suyeon Kim & Sohyun Park & Youngjin Choi & Hyunwoo Lim, 2020. "Energy-Saving Potential of Extending Temperature Set-Points in a VRF Air-Conditioned Building," Energies, MDPI, vol. 13(9), pages 1-17, May.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2160-:d:352860
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    References listed on IDEAS

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    1. Park, June Young & Nagy, Zoltan, 2018. "Comprehensive analysis of the relationship between thermal comfort and building control research - A data-driven literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2664-2679.
    2. Png, Ethan & Srinivasan, Seshadhri & Bekiroglu, Korkut & Chaoyang, Jiang & Su, Rong & Poolla, Kameshwar, 2019. "An internet of things upgrade for smart and scalable heating, ventilation and air-conditioning control in commercial buildings," Applied Energy, Elsevier, vol. 239(C), pages 408-424.
    3. Ghahramani, Ali & Zhang, Kenan & Dutta, Kanu & Yang, Zheng & Becerik-Gerber, Burcin, 2016. "Energy savings from temperature setpoints and deadband: Quantifying the influence of building and system properties on savings," Applied Energy, Elsevier, vol. 165(C), pages 930-942.
    4. Lakeridou, Michelle & Ucci, Marcella & Marmot, Alexi, 2014. "Imposing limits on summer set-points in UK air-conditioned offices: A survey of facility managers," Energy Policy, Elsevier, vol. 75(C), pages 354-368.
    5. Azar, Elie & Menassa, Carol C., 2014. "A comprehensive framework to quantify energy savings potential from improved operations of commercial building stocks," Energy Policy, Elsevier, vol. 67(C), pages 459-472.
    6. Pisello, Anna Laura & Asdrubali, Francesco, 2014. "Human-based energy retrofits in residential buildings: A cost-effective alternative to traditional physical strategies," Applied Energy, Elsevier, vol. 133(C), pages 224-235.
    7. 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.
    8. Yu, Xinqiao & Yan, Da & Sun, Kaiyu & Hong, Tianzhen & Zhu, Dandan, 2016. "Comparative study of the cooling energy performance of variable refrigerant flow systems and variable air volume systems in office buildings," Applied Energy, Elsevier, vol. 183(C), pages 725-736.
    9. Choi, J.M & Kim, Y.C, 2003. "Capacity modulation of an inverter-driven multi-air conditioner using electronic expansion valves," Energy, Elsevier, vol. 28(2), pages 141-155.
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    Cited by:

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    2. Wei Wang & Xiaofang Shan & Syed Asad Hussain & Changshan Wang & Ying Ji, 2020. "Comparison of Multi-Control Strategies for the Control of Indoor Air Temperature and CO 2 with OpenModelica Modeling," Energies, MDPI, vol. 13(17), pages 1-20, August.
    3. Prasertsak Charoen & Nathavuth Kitbutrawat & Jasada Kudtongngam, 2022. "A Demand Response Implementation with Building Energy Management System," Energies, MDPI, vol. 15(3), pages 1-21, February.
    4. Przemysław Markiewicz-Zahorski & Joanna Rucińska & Małgorzata Fedorczak-Cisak & Michał Zielina, 2021. "Building Energy Performance Analysis after Changing Its Form of Use from an Office to a Residential Building," Energies, MDPI, vol. 14(3), pages 1-24, January.
    5. Ismail, Nagham & Ouahrani, Djamel, 2022. "Modelling of cooling radiant cubicle for an office room to test cooling performance, thermal comfort and energy savings in hot climates," Energy, Elsevier, vol. 244(PB).

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