IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i22p5801-d1525322.html
   My bibliography  Save this article

Influence of Control Strategy on Heat Recovery Efficiency in a Single-Duct Periodic Ventilation Device

Author

Listed:
  • Piotr Koper

    (Faculty of Energy and Environmental Engineering, Silesian University of Technology, 44-100 Gliwice, Poland)

Abstract

The subject of the research was a single-duct, decentralised periodic ventilation unit, using accumulative heat exchanger for heat recovery (also called single-core fixed-bed regenerator). It can achieve high efficiency of heat recovery but is vulnerable to pressure differences between the interior of the building and the outside. To counter this, two control strategies were proposed: adjustment of the fan speed based on an air flow sensor and adjustment of the working cycle length based on temperature sensors. The strategies were tested experimentally in actual working conditions. Due to the use of cheap and simple sensors, it was possible to retain the low price of the device. Both control strategies proved to be successful in equalising the amount of supplied and removed air in a single cycle. Moreover, the heat recovery efficiency increased by more than 10% compared to the default working mode.

Suggested Citation

  • Piotr Koper, 2024. "Influence of Control Strategy on Heat Recovery Efficiency in a Single-Duct Periodic Ventilation Device," Energies, MDPI, vol. 17(22), pages 1-14, November.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:22:p:5801-:d:1525322
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/22/5801/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/22/5801/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alo Mikola & Raimo Simson & Jarek Kurnitski, 2019. "The Impact of Air Pressure Conditions on the Performance of Single Room Ventilation Units in Multi-Story Buildings," Energies, MDPI, vol. 12(13), pages 1-18, July.
    2. Li, Wenzhuo & Wang, Shengwei, 2020. "A multi-agent based distributed approach for optimal control of multi-zone ventilation systems considering indoor air quality and energy use," Applied Energy, Elsevier, vol. 275(C).
    Full references (including those not matched with items on IDEAS)

    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. Panagiotis Michailidis & Iakovos Michailidis & Dimitrios Vamvakas & Elias Kosmatopoulos, 2023. "Model-Free HVAC Control in Buildings: A Review," Energies, MDPI, vol. 16(20), pages 1-45, October.
    2. Nicolas Carbonare & Hannes Fugmann & Nasir Asadov & Thibault Pflug & Lena Schnabel & Constanze Bongs, 2020. "Simulation and Measurement of Energetic Performance in Decentralized Regenerative Ventilation Systems," Energies, MDPI, vol. 13(22), pages 1-25, November.
    3. Cui, Can & Xue, Jing, 2024. "Energy and comfort aware operation of multi-zone HVAC system through preference-inspired deep reinforcement learning," Energy, Elsevier, vol. 292(C).
    4. Yang, Ting & Zhao, Liyuan & Li, Wei & Wu, Jianzhong & Zomaya, Albert Y., 2021. "Towards healthy and cost-effective indoor environment management in smart homes: A deep reinforcement learning approach," Applied Energy, Elsevier, vol. 300(C).
    5. Sinha, Anshuman & Thakkar, Harshul & Rezaei, Fateme & Kawajiri, Yoshiaki & Realff, Matthew J., 2022. "Reduced building energy consumption by combined indoor CO2 and H2O composition control," Applied Energy, Elsevier, vol. 322(C).
    6. Li, Wenzhuo & Tang, Rui & Wang, Shengwei & Zheng, Zhuang, 2023. "An optimal design method for communication topology of wireless sensor networks to implement fully distributed optimal control in IoT-enabled smart buildings," Applied Energy, Elsevier, vol. 349(C).
    7. Ewa Zender–Świercz, 2021. "A Review of Heat Recovery in Ventilation," Energies, MDPI, vol. 14(6), pages 1-23, March.
    8. Pouranian, Fatemeh & Akbari, Habibollah & Hosseinalipour, S.M., 2021. "Performance assessment of solar chimney coupled with earth-to-air heat exchanger: A passive alternative for an indoor swimming pool ventilation in hot-arid climate," Applied Energy, Elsevier, vol. 299(C).
    9. Alberto Meiss & Miguel Ángel Padilla-Marcos & Irene Poza-Casado & Antonio Álvaro-Tordesillas, 2020. "A Graphical Tool to Estimate the Air Change Efficiency in Rooms with Heat Recovery Systems," Sustainability, MDPI, vol. 12(3), pages 1-15, January.
    10. Liu, Yuntao & Cui, Can, 2024. "A bi-level real-time optimal control strategy for thermal coupled multi-zone dedicated outside air system-assisted HVAC systems," Energy, Elsevier, vol. 306(C).
    11. Su, Wei & Ai, Zhengtao & Liu, Jing & Yang, Bin & Wang, Faming, 2023. "Maintaining an acceptable indoor air quality of spaces by intentional natural ventilation or intermittent mechanical ventilation with minimum energy use," Applied Energy, Elsevier, vol. 348(C).
    12. Su, Bing & Wang, Shengwei, 2021. "A delay-tolerant distributed optimal control method concerning uncertain information delays in IoT-enabled field control networks of building automation systems," Applied Energy, Elsevier, vol. 301(C).
    13. Wan, Taocheng & Bai, Yan & Wang, Tingxiang & Wei, Zhuo, 2022. "BPNN-based optimal strategy for dynamic energy optimization with providing proper thermal comfort under the different outdoor air temperatures," Applied Energy, Elsevier, vol. 313(C).
    14. Bian, Yuexin & Fu, Xiaohan & Gupta, Rajesh K. & Shi, Yuanyuan, 2024. "Ventilation and temperature control for energy-efficient and healthy buildings: A differentiable PDE approach," Applied Energy, Elsevier, vol. 372(C).
    15. Zhang, Sheng & Ai, Zhengtao & Lin, Zhang, 2021. "Novel demand-controlled optimization of constant-air-volume mechanical ventilation for indoor air quality, durability and energy saving," Applied Energy, Elsevier, vol. 293(C).
    16. Zhang, Sheng & Liu, Jun & Wang, Fenghao & Chai, Jiale, 2023. "Design optimization of medium-deep borehole heat exchanger for building heating under climate change," Energy, Elsevier, vol. 282(C).
    17. Ewa Zender-Świercz & Marek Telejko & Beata Galiszewska & Mariola Starzomska, 2022. "Assessment of Thermal Comfort in Rooms Equipped with a Decentralised Façade Ventilation Unit," Energies, MDPI, vol. 15(19), pages 1-16, September.
    18. Li, Chunxiao & Cui, Can & Li, Ming, 2023. "A proactive 2-stage indoor CO2-based demand-controlled ventilation method considering control performance and energy efficiency," Applied Energy, Elsevier, vol. 329(C).
    19. Li, Wenzhuo & Wang, Shengwei & Koo, Choongwan, 2021. "A real-time optimal control strategy for multi-zone VAV air-conditioning systems adopting a multi-agent based distributed optimization method," Applied Energy, Elsevier, vol. 287(C).
    20. Giuseppe Anastasi & Carlo Bartoli & Paolo Conti & Emanuele Crisostomi & Alessandro Franco & Sergio Saponara & Daniele Testi & Dimitri Thomopulos & Carlo Vallati, 2021. "Optimized Energy and Air Quality Management of Shared Smart Buildings in the COVID-19 Scenario," Energies, MDPI, vol. 14(8), pages 1-17, April.

    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:jeners:v:17:y:2024:i:22:p:5801-:d:1525322. 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.