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The Derivation of Cooling Set-Point Temperature in an HVAC System, Considering Mean Radiant Temperature

Author

Listed:
  • Jinmog Han

    (Department of Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea)

  • Jongkyun Bae

    (Department of Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea)

  • Jihoon Jang

    (Department of Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea)

  • Jumi Baek

    (Department of Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea)

  • Seung-Bok Leigh

    (Department of Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea)

Abstract

Heating, ventilation, and air-conditioning (HVAC) systems usually have a set-point temperature control feature that uses the indoor dry-bulb temperature to control the indoor environment. However, an incorrect set-point temperature can reduce thermal comfort and result in unnecessary energy consumption. This study focuses on a derivation method for the optimal cooling set-point temperature of an HVAC system used in office buildings, considering the thermal characteristics and daily changes in the weather conditions, to establish a comfortable indoor environment and minimize unnecessary energy consumption. The operative temperature is used in the HVAC system control, and the mean radiant temperature is predicted with 94% accuracy through a multiple regression analysis by applying the indoor thermal environment data and weather information. The regression equation was utilized to create an additional equation to calculate the optimal set-point temperature. The simulation results indicate that the HVAC system control with the new set-point temperatures calculated from the derived equation improves thermal comfort by 38.5% (26%p). This study confirmed that a cooling set-point temperature that considers both the thermal characteristics of a building and weather conditions is effective in enhancing the indoor thermal comfort during summer.

Suggested Citation

  • Jinmog Han & Jongkyun Bae & Jihoon Jang & Jumi Baek & Seung-Bok Leigh, 2019. "The Derivation of Cooling Set-Point Temperature in an HVAC System, Considering Mean Radiant Temperature," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5417-:d:272285
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    References listed on IDEAS

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    1. Raúl Castaño-Rosa & Carlos E. Rodríguez-Jiménez & Carlos Rubio-Bellido, 2018. "Adaptive Thermal Comfort Potential in Mediterranean Office Buildings: A Case Study of Torre Sevilla," Sustainability, MDPI, vol. 10(9), pages 1-14, August.
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    Cited by:

    1. Andrés Jonathan Guízar Dena & Miguel Ángel Pascual & Carlos Fernández Bandera, 2021. "Building Energy Model for Mexican Energy Standard Verification Using Physics-Based Open Studio SGSAVE Software Simulation," Sustainability, MDPI, vol. 13(3), pages 1-34, February.
    2. Samira Rastbod & Farnaz Rahimi & Yara Dehghan & Saeed Kamranfar & Omrane Benjeddou & Moncef L. Nehdi, 2022. "An Optimized Machine Learning Approach for Forecasting Thermal Energy Demand of Buildings," Sustainability, MDPI, vol. 15(1), pages 1-15, December.

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