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Development of an Optimal Start Control Strategy for a Variable Refrigerant Flow (VRF) System

Author

Listed:
  • Yusung Lee

    (School of Mechanical Engineering, Chonnam National University, Gwangju 61186, Korea)

  • Woohyun Kim

    (School of Mechanical Engineering, Chonnam National University, Gwangju 61186, Korea)

Abstract

In this study, an optimal control strategy for the variable refrigerant flow (VRF) system is developed using a data-driven model and on-site data to save the building energy. Three data-based models are developed to improve the on-site applicability. The presented models are used to determine the length of time required to bring each zone from its current temperature to the set point. The existing data are used to evaluate and validated the predictive performance of three data-based models. Experiments are conducted using three outdoor units and eight indoor units on site. The experimental test is performed to validate the performance of proposed optimal control by comparing between conventional and optimal control methods. Then, the ability to save energy wasted for maintaining temperature after temperature reaches the set points is evaluated through the comparison of energy usage. Given these results, 30.5% of energy is saved on average for each outdoor unit and the proposed optimal control strategy makes the zones comfortable.

Suggested Citation

  • Yusung Lee & Woohyun Kim, 2021. "Development of an Optimal Start Control Strategy for a Variable Refrigerant Flow (VRF) System," Energies, MDPI, vol. 14(2), pages 1-17, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:271-:d:475600
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Mykola Radchenko & Andrii Radchenko & Eugeniy Trushliakov & Hanna Koshlak & Roman Radchenko, 2023. "Advanced Method of Variable Refrigerant Flow (VRF) Systems Designing to Forecast Onsite Operation—Part 2: Phenomenological Simulation to Recoup Refrigeration Energy," Energies, MDPI, vol. 16(4), pages 1-17, February.
    2. Rima Aridi & Jalal Faraj & Samer Ali & Mostafa Gad El-Rab & Thierry Lemenand & Mahmoud Khaled, 2021. "Energy Recovery in Air Conditioning Systems: Comprehensive Review, Classifications, Critical Analysis, and Potential Recommendations," Energies, MDPI, vol. 14(18), pages 1-31, September.
    3. Mykola Radchenko & Andrii Radchenko & Eugeniy Trushliakov & Anatoliy Pavlenko & Roman Radchenko, 2023. "Advanced Method of Variable Refrigerant Flow (VRF) System Design to Forecast on Site Operation—Part 3: Optimal Solutions to Minimize Sizes," Energies, MDPI, vol. 16(5), pages 1-18, March.
    4. Kittiwoot Sutthivirode & Tongchana Thongtip, 2022. "Experimental Determination of an Optimal Performance Map of a Steam Ejector Refrigeration System," Energies, MDPI, vol. 15(12), pages 1-19, June.
    5. San Jin & Chanuk Lee & Dongsu Kim & Donghoon Lee & Sunglok Do, 2022. "Indoor Thermal Environment and Energy Characteristics with Varying Cooling System Capacity and Restart Time," Sustainability, MDPI, vol. 14(15), pages 1-16, July.

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