IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i9p3116-d801359.html
   My bibliography  Save this article

Utilization of Window System as Exhaust Air Heat Recovery Device and Its Energy Performance Evaluation: A Comparative Study

Author

Listed:
  • Jue Guo

    (Institute for Design Innovation, Loughborough University, Loughborough LE11 3TU, UK)

  • Chong Zhang

    (Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China)

Abstract

The exhaust air glass unit (EAGU) can be treated as an integration of multilayer glazing unit and heat recovery device to utilize the exhaust air from conditioned space with a fresh air ventilation system to improve the thermal performance of window system. However, compared with the conventionally used mechanical ventilation with a heat recovery (MVHR) system, whether the use of EAGU is energy-efficient or not has not been estimated. In this paper, a numerical model, validated by experimental measurement, was used to calculate the hourly cooling and heating loads and annual energy demand of EAGU. This study compared the annual energy performance of EAGU and MVHR under various conditions, and further discusses the applicability of EAGU for different climates. The results indicate that the energy saving potential of EAGU ranges from 26.8% to 38.2% for different climate conditions. In the cooling season, the energy saving potential of EAGU performed much better than that of the commonly used MVHR. However, the EAGU was inferior to the MVHR in the heating season. Moreover, the EAGU is more suitable for application in warm climates, rather than cold climates. This study can provide some application guidelines about the selection of exhaust air heat recovery devices for maximizing the energy saving potential.

Suggested Citation

  • Jue Guo & Chong Zhang, 2022. "Utilization of Window System as Exhaust Air Heat Recovery Device and Its Energy Performance Evaluation: A Comparative Study," Energies, MDPI, vol. 15(9), pages 1-18, April.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3116-:d:801359
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/9/3116/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/9/3116/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wieprzkowicz, Anna & Heim, Dariusz, 2020. "Modelling of thermal processes in a glazing structure with temperature dependent optical properties - An example of PCM-window," Renewable Energy, Elsevier, vol. 160(C), pages 653-662.
    2. Huang, Junchao & Chen, Xi & Yang, Hongxing & Zhang, Weilong, 2018. "Numerical investigation of a novel vacuum photovoltaic curtain wall and integrated optimization of photovoltaic envelope systems," Applied Energy, Elsevier, vol. 229(C), pages 1048-1060.
    3. Arıcı, Müslüm & Kan, Miraç, 2015. "An investigation of flow and conjugate heat transfer in multiple pane windows with respect to gap width, emissivity and gas filling," Renewable Energy, Elsevier, vol. 75(C), pages 249-256.
    4. Bao, Lingling & Wang, Jinggang & Yang, Hongxing, 2016. "Investigation on the performance of a heat recovery ventilator in different climate regions in China," Energy, Elsevier, vol. 104(C), pages 85-98.
    5. Mirzazade Akbarpoor, Ali & Haghighi Poshtiri, Amin & Biglari, Faraz, 2021. "Performance analysis of domed roof integrated with earth-to-air heat exchanger system to meet thermal comfort conditions in buildings," Renewable Energy, Elsevier, vol. 168(C), pages 1265-1293.
    6. A.M. Fogheri, 2015. "Energy Efficiency in Public Buildings," Rivista economica del Mezzogiorno, Società editrice il Mulino, issue 3-4, pages 763-784.
    7. Liu, Yingying & Chen, Sha & Jiang, Kejun & Kaghembega, Wendkuuni Steve-Harold, 2022. "The gaps and pathways to carbon neutrality for different type cities in China," Energy, Elsevier, vol. 244(PA).
    8. Michaux, Ghislain & Greffet, Rémy & Salagnac, Patrick & Ridoret, Jean-Baptiste, 2019. "Modelling of an airflow window and numerical investigation of its thermal performances by comparison to conventional double and triple-glazed windows," Applied Energy, Elsevier, vol. 242(C), pages 27-45.
    9. Lyu, Weihua & Li, Xianting & Yan, Shuai & Jiang, Sihang, 2020. "Utilizing shallow geothermal energy to develop an energy efficient HVAC system," Renewable Energy, Elsevier, vol. 147(P1), pages 672-682.
    10. Li, Ao & Xiao, Fu & Zhang, Chong & Fan, Cheng, 2021. "Attention-based interpretable neural network for building cooling load prediction," Applied Energy, Elsevier, vol. 299(C).
    11. Gil-Baez, Maite & Barrios-Padura, Ángela & Molina-Huelva, Marta & Chacartegui, R., 2017. "Natural ventilation systems in 21st-century for near zero energy school buildings," Energy, Elsevier, vol. 137(C), pages 1186-1200.
    12. Chen, Youming & Xiao, Yaling & Zheng, Siqian & Liu, Yang & Li, Yupeng, 2018. "Dynamic heat transfer model and applicability evaluation of aerogel glazing system in various climates of China," Energy, Elsevier, vol. 163(C), pages 1115-1124.
    13. Zhang, Chong & Gang, Wenjie & Wang, Jinbo & Xu, Xinhua & Du, Qianzhou, 2019. "Numerical and experimental study on the thermal performance improvement of a triple glazed window by utilizing low-grade exhaust air," Energy, Elsevier, vol. 167(C), pages 1132-1143.
    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. Łukasz Amanowicz & Katarzyna Ratajczak & Edyta Dudkiewicz, 2023. "Recent Advancements in Ventilation Systems Used to Decrease Energy Consumption in Buildings—Literature Review," Energies, MDPI, vol. 16(4), pages 1-39, February.

    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. Zhang, Chong & Wang, Jinbo & Li, Liao & Gang, Wenjie, 2019. "Dynamic thermal performance and parametric analysis of a heat recovery building envelope based on air-permeable porous materials," Energy, Elsevier, vol. 189(C).
    2. Tan, Yutong & Peng, Jinqing & Luo, Yimo & Luo, Zhengyi & Curcija, Charlie & Fang, Yueping, 2022. "Numerical heat transfer modeling and climate adaptation analysis of vacuum-photovoltaic glazing," Applied Energy, Elsevier, vol. 312(C).
    3. Rodriguez-Ake, A. & Xamán, J. & Hernández-López, I. & Sauceda, D. & Carranza-Chávez, Francisco J. & Zavala-Guillén, I., 2022. "Numerical study and thermal evaluation of a triple glass window under Mexican warm climate conditions," Energy, Elsevier, vol. 239(PB).
    4. Yao Lu & Faisal Khaled Aldawood & Wanyu Hu & Yuxin Ma & Mohamed Kchaou & Chengjun Zhang & Xinpeng Yang & Ruitong Yang & Zitong Qi & Dong Li, 2023. "Optimization Strategy for Selecting the Combination Structure of Multilayer Phase Change Material (PCM) Glazing Windows under Different Climate Zones," Sustainability, MDPI, vol. 15(23), pages 1-24, November.
    5. Anatoliy M. Pavlenko & Karolina Sadko, 2023. "Evaluation of Numerical Methods for Predicting the Energy Performance of Windows," Energies, MDPI, vol. 16(3), pages 1-23, February.
    6. Tao, Yao & Yan, Yihuan & Tu, Jiyuan & Shi, Long, 2024. "Impact of wind on solar-induced natural ventilation through double-skin facade," Applied Energy, Elsevier, vol. 364(C).
    7. Nourozi, Behrouz & Ploskić, Adnan & Chen, Yuxiang & Ning-Wei Chiu, Justin & Wang, Qian, 2020. "Heat transfer model for energy-active windows – An evaluation of efficient reuse of waste heat in buildings," Renewable Energy, Elsevier, vol. 162(C), pages 2318-2329.
    8. Tan, Yutong & Peng, Jinqing & Luo, Yimo & Li, Houpei & Wang, Meng & Zhang, Fujia & Ji, Jie & Song, Aotian, 2023. "Daylight-electrical-thermal coupling model for real-time zero-energy potential analysis of vacuum-photovoltaic glazing," Renewable Energy, Elsevier, vol. 205(C), pages 1040-1056.
    9. Chong Zhang & Jinbo Wang & Liao Li & Feifei Wang & Wenjie Gang, 2020. "Utilization of Earth-to-Air Heat Exchanger to Pre-Cool/Heat Ventilation Air and Its Annual Energy Performance Evaluation: A Case Study," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    10. Darya Andreeva & Darya Nemova & Evgeny Kotov, 2022. "Multi-Skin Adaptive Ventilated Facade: A Review," Energies, MDPI, vol. 15(9), pages 1-26, May.
    11. Heidari, Sahar & Poshtiri, Amin Haghighi & Gilvaei, Zoleikha Moghtader, 2024. "Enhancing thermal comfort and natural ventilation in residential buildings: A design and assessment of an integrated system with horizontal windcatcher and evaporative cooling channels," Energy, Elsevier, vol. 289(C).
    12. Zhang, Chong & Gang, Wenjie & Wang, Jinbo & Xu, Xinhua & Du, Qianzhou, 2019. "Numerical and experimental study on the thermal performance improvement of a triple glazed window by utilizing low-grade exhaust air," Energy, Elsevier, vol. 167(C), pages 1132-1143.
    13. Ke, Yujie & Tan, Yutong & Feng, Chengchen & Chen, Cong & Lu, Qi & Xu, Qiyang & Wang, Tao & Liu, Hai & Liu, Xinghai & Peng, Jinqing & Long, Yi, 2022. "Tetra-Fish-Inspired aesthetic thermochromic windows toward Energy-Saving buildings," Applied Energy, Elsevier, vol. 315(C).
    14. Tao, Yao & Zhang, Haihua & Huang, Dongmei & Fan, Chuangang & Tu, Jiyuan & Shi, Long, 2021. "Ventilation performance of a naturally ventilated double skin façade with low-e glazing," Energy, Elsevier, vol. 229(C).
    15. Yu Dong & Tongyu Qin & Siyuan Zhou & Lu Huang & Rui Bo & Haibo Guo & Xunzhi Yin, 2020. "Comparative Whole Building Life Cycle Assessment of Energy Saving and Carbon Reduction Performance of Reinforced Concrete and Timber Stadiums—A Case Study in China," Sustainability, MDPI, vol. 12(4), pages 1-24, February.
    16. Zhou, Yuekuan & Zheng, Siqian, 2020. "Uncertainty study on thermal and energy performances of a deterministic parameters based optimal aerogel glazing system using machine-learning method," Energy, Elsevier, vol. 193(C).
    17. Wang, Xinlin & Wang, Hao & Li, Shengping & Jin, Haizhen, 2024. "A reinforcement learning-based online learning strategy for real-time short-term load forecasting," Energy, Elsevier, vol. 305(C).
    18. Mushk Bughio & Swati Bahale & Waqas Ahmed Mahar & Thorsten Schuetze, 2022. "Parametric Performance Analysis of the Cooling Potential of Earth-to-Air Heat Exchangers in Hot and Humid Climates," Energies, MDPI, vol. 15(19), pages 1-21, September.
    19. Zhang, Wanshi & Wu, Yunlei & Li, Xiuwei & Cheng, Feng & Zhang, Xiaosong, 2021. "Performance investigation of the wood-based heat localization regenerator in liquid desiccant cooling system," Renewable Energy, Elsevier, vol. 179(C), pages 133-149.
    20. Karanafti, Aikaterina & Theodosiou, Theodoros & Tsikaloudaki, Katerina, 2022. "Assessment of buildings’ dynamic thermal insulation technologies-A review," Applied Energy, Elsevier, vol. 326(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:jeners:v:15:y:2022:i:9:p:3116-:d:801359. 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.