IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i11p2066-d118328.html
   My bibliography  Save this article

A Study on a Control Method with a Ventilation Requirement of a VAV System in Multi-Zone

Author

Listed:
  • Hyo-Jun Kim

    (Department of Architectural Engineering, Graduate School of Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk 38541, Korea)

  • Young-Hum Cho

    (School of Architecture, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk 38541, Korea)

Abstract

The objective of this study was to propose a control method with a ventilation requirement of variable air volume (VAV) system in multi-zone. In order to control the VAV system inmulti-zone, it is essential to control the terminal unit installed in each zone. A VAV terminal unit with conventional control method using a fixed minimum air flow can cause indoor air quality (IAQ) issues depending on the variation in the number of occupants. This research proposes a control method with a ventilation requirement of the VAV terminal unit and AHU inmulti-zone. The integrated control method with an air flow increase model in the VAV terminal unit, AHU, and outdoor air intake rate increase model in the AHU was based on the indoor CO 2 concentration. The conventional and proposed control algorithms were compared through a TRNSYS simulation program. The proposed VAV terminal unit control method satisfies all the conditions of indoor temperature, IAQ, and stratification. An energy comparison with the conventional control method showed that the method satisfies not only the indoor thermal comfort, IAQ, and stratification issue, but also reduces the energy consumption.

Suggested Citation

  • Hyo-Jun Kim & Young-Hum Cho, 2017. "A Study on a Control Method with a Ventilation Requirement of a VAV System in Multi-Zone," Sustainability, MDPI, vol. 9(11), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:2066-:d:118328
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/11/2066/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/11/2066/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Okochi, Godwine Swere & Yao, Ye, 2016. "A review of recent developments and technological advancements of variable-air-volume (VAV) air-conditioning systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 784-817.
    2. Young-Hum Cho, 2012. "Development of a Terminal Control System with Variable Minimum Airflow Rate," Energies, MDPI, vol. 5(11), pages 1-22, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hyo-Jun Kim & Jae-Hun Jo & Young-Hum Cho, 2019. "Development of Virtual Air Flow Sensor Using In-Situ Damper Performance Curve in VAV Terminal Unit," Energies, MDPI, vol. 12(22), pages 1-14, November.
    2. Hyo-Jun Kim & Young-Hum Cho, 2021. "Optimal Control Method of Variable Air Volume Terminal Unit System," Energies, MDPI, vol. 14(22), pages 1-15, November.
    3. Dimitris Katsaprakakis & Vasilis Kagiamis & George Zidianakis & Luca Ambrosini, 2019. "Operation Algorithms and Computational Simulation of Physical Cooling and Heat Recovery for Indoor Space Conditioning. A Case Study for a Hydro Power Plant in Lugano, Switzerland," Sustainability, MDPI, vol. 11(17), pages 1-36, August.
    4. Behzad Rismanchi & Juan Mahecha Zambrano & Bryan Saxby & Ross Tuck & Mark Stenning, 2019. "Control Strategies in Multi-Zone Air Conditioning Systems," Energies, MDPI, vol. 12(3), pages 1-14, January.

    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. Nina Szczepanik-Scislo & Jacek Schnotale, 2020. "An Air Terminal Device with a Changing Geometry to Improve Indoor Air Quality for VAV Ventilation Systems," Energies, MDPI, vol. 13(18), pages 1-20, September.
    2. Behzad Rismanchi & Juan Mahecha Zambrano & Bryan Saxby & Ross Tuck & Mark Stenning, 2019. "Control Strategies in Multi-Zone Air Conditioning Systems," Energies, MDPI, vol. 12(3), pages 1-14, January.
    3. Rafael Herrera-Limones & Ángel Luis León-Rodríguez & Álvaro López-Escamilla, 2019. "Solar Decathlon Latin America and Caribbean: Comfort and the Balance between Passive and Active Design," Sustainability, MDPI, vol. 11(13), pages 1-17, June.
    4. 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.
    5. Cheng, Fanyong & Cui, Can & Cai, Wenjian & Zhang, Xin & Ge, Yuan & Li, Bingxu, 2022. "A novel data-driven air balancing method with energy-saving constraint strategy to minimize the energy consumption of ventilation system," Energy, Elsevier, vol. 239(PB).
    6. Rosaria E.C. Amaral & Joel Brito & Matt Buckman & Elicia Drake & Esther Ilatova & Paige Rice & Carlos Sabbagh & Sergei Voronkin & Yewande S. Abraham, 2020. "Waste Management and Operational Energy for Sustainable Buildings: A Review," Sustainability, MDPI, vol. 12(13), pages 1-21, July.
    7. Miqdad Aziz & Kushsairy Kadir & Haziq Kamarul Azman & Kanendra Vijyakumar, 2023. "Optimization of Air Handler Controllers for Comfort Level in Smart Buildings Using Nature Inspired Algorithm," Energies, MDPI, vol. 16(24), pages 1-32, December.
    8. Afroz, Zakia & Shafiullah, GM & Urmee, Tania & Higgins, Gary, 2018. "Modeling techniques used in building HVAC control systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 83(C), pages 64-84.
    9. Alessandro Franco & Lorenzo Miserocchi & Daniele Testi, 2021. "HVAC Energy Saving Strategies for Public Buildings Based on Heat Pumps and Demand Controlled Ventilation," Energies, MDPI, vol. 14(17), pages 1-20, September.
    10. Nikolaos Kampelis & Nikolaos Sifakis & Dionysia Kolokotsa & Konstantinos Gobakis & Konstantinos Kalaitzakis & Daniela Isidori & Cristina Cristalli, 2019. "HVAC Optimization Genetic Algorithm for Industrial Near-Zero-Energy Building Demand Response," Energies, MDPI, vol. 12(11), pages 1-23, June.
    11. Wang, Hao & Chen, Xiwen & Vital, Natan & Duffy, Edward & Razi, Abolfazl, 2024. "Energy optimization for HVAC systems in multi-VAV open offices: A deep reinforcement learning approach," Applied Energy, Elsevier, vol. 356(C).
    12. Jing, Gang & Cai, Wenjian & Zhang, Xin & Cui, Can & Liu, Hongwu & Wang, Cheng, 2020. "An energy-saving control strategy for multi-zone demand controlled ventilation system with data-driven model and air balancing control," Energy, Elsevier, vol. 199(C).
    13. Okochi, Godwine Swere & Yao, Ye, 2016. "A review of recent developments and technological advancements of variable-air-volume (VAV) air-conditioning systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 784-817.
    14. Awais Shah & Deqing Huang & Tianpeng Huang & Umar Farid, 2018. "Optimization of BuildingsEnergy Consumption by Designing Sliding Mode Control for Multizone VAV Air Conditioning Systems," Energies, MDPI, vol. 11(11), pages 1-18, October.
    15. Mu, Yuanpeng & Zhang, Jili & Ma, Zhixian & Liu, Mingsheng, 2023. "A novel air flowrate control method based on terminal damper opening prediction in multi-zone VAV system," Energy, Elsevier, vol. 263(PD).
    16. 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.
    17. Hye-In Lee & Hyo-Jun Kim & Jin-Hyun Lee & Young-Hum Cho, 2024. "Development of Operating Strategies for Return Fan in HVAC System Considering Differential Pressure," Energies, MDPI, vol. 17(21), pages 1-15, October.
    18. Ma, Nan & Aviv, Dorit & Guo, Hongshan & Braham, William W., 2021. "Measuring the right factors: A review of variables and models for thermal comfort and indoor air quality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).

    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:jsusta:v:9:y:2017:i:11:p:2066-:d:118328. 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.