IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i22p7483-d1275864.html
   My bibliography  Save this article

Cold Climate Challenges: Analysis of Heat Recovery Efficiency in Ventilation Systems

Author

Listed:
  • Aleksejs Prozuments

    (Department of Heat Engineering and Technology, Faculty of Civil Engineering, Riga Technical University, LV-1048 Riga, Latvia)

  • Jurgis Zemitis

    (Department of Heat Engineering and Technology, Faculty of Civil Engineering, Riga Technical University, LV-1048 Riga, Latvia)

  • Aleksejs Bulanovs

    (Department of Heat Engineering and Technology, Faculty of Civil Engineering, Riga Technical University, LV-1048 Riga, Latvia)

Abstract

As building energy consumption gains ever-increasing attention worldwide, the focus on addressing it through the examination and optimization of efficient heat recovery solutions continues to intensify. With well-insulated and airtight buildings, the proportion of heating needs attributed to ventilation is growing, leading to the widespread integration and optimization of heat recovery solutions in mechanical ventilation systems. Heat recovery in ventilation is a highly efficient strategy for reducing heat losses and conserving energy. This study involves the investigation of a ventilation unit installed in an apartment situated in Riga, Latvia, as a practical examination of heat recovery system efficiency within the Latvian climate conditions, representing a cold climate region. The objective of this study was to examine the heat recovery efficiency of the ventilation system in the Latvian climate with variable outdoor and exhaust air parameters, given that the dry heat recovery efficiency is different from the actual heat recovery efficiency. The ventilation unit was equipped with a plate heat exchanger at an airflow rate of 105 m 3 /h. To evaluate heat recovery efficiency, extensive measurements of air temperature and relative humidity were conducted. The collected data was analyzed, employing statistical regression analysis to ensure measurement reliability and assess correlations. The findings indicated a strong correlation between variables such as heat content, moisture content, and sensible air parameters. It was observed that the actual heat recovery efficiency was 6% higher than the calculated dry efficiency, emphasizing the importance of considering real-world conditions in heat recovery assessments. Additionally, regression analysis demonstrated a positive linear correlation with a coefficient of 0.77, highlighting the dependency between actual measurements and the theoretical model. These quantitative outcomes provide essential insights for optimizing heat recovery systems and enhancing energy-efficient ventilation practices, especially in cold climate environments. Moreover, this study highlights the strong correlation between variables such as heat content, moisture content, and sensible air parameters. Findings offer essential insights for optimizing heat recovery systems and enhancing energy-efficient ventilation practices, especially in cold climate environments.

Suggested Citation

  • Aleksejs Prozuments & Jurgis Zemitis & Aleksejs Bulanovs, 2023. "Cold Climate Challenges: Analysis of Heat Recovery Efficiency in Ventilation Systems," Energies, MDPI, vol. 16(22), pages 1-15, November.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:22:p:7483-:d:1275864
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/22/7483/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/22/7483/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Palladino, Domenico, 2023. "Energy performance gap of the Italian residential building stock: Parametric energy simulations for theoretical deviation assessment from standard conditions," Applied Energy, Elsevier, vol. 345(C).
    2. Thonipara, Anita & Runst, Petrik & Ochsner, Christian & Bizer, Kilian, 2019. "Energy efficiency of residential buildings in the European Union – An exploratory analysis of cross-country consumption patterns," Energy Policy, Elsevier, vol. 129(C), pages 1156-1167.
    3. Fernandes, Diana Vieira & Silva, Carlos Santos, 2022. "Open Energy Data — A regulatory framework proposal under the Portuguese electric system context," Energy Policy, Elsevier, vol. 170(C).
    4. Rafati Nasr, Mohammad & Kassai, Miklos & Ge, Gaoming & Simonson, Carey J., 2015. "Evaluation of defrosting methods for air-to-air heat/energy exchangers on energy consumption of ventilation," Applied Energy, Elsevier, vol. 151(C), pages 32-40.
    5. Petkov, Ivalin & Mavromatidis, Georgios & Knoeri, Christof & Allan, James & Hoffmann, Volker H., 2022. "MANGOret: An optimization framework for the long-term investment planning of building multi-energy system and envelope retrofits," Applied Energy, Elsevier, vol. 314(C).
    6. Liu, Peng & Justo Alonso, Maria & Mathisen, Hans Martin, 2023. "Global sensitivity analysis and optimal design of heat recovery ventilation for zero emission buildings," Applied Energy, Elsevier, vol. 329(C).
    7. Gao, Hongjun & Cai, Wenhui & He, Shuaijia & Jiang, Jun & Liu, Junyong, 2023. "Multi-energy sharing optimization for a building cluster towards net-zero energy system," Applied Energy, Elsevier, vol. 350(C).
    8. Cichowicz, Robert & Jerominko, Tomasz, 2023. "Comparison of calculation and consumption methods for determining Energy Performance Certificates (EPC) in the case of multi-family residential buildings in Poland (Central-Eastern Europe)," Energy, Elsevier, vol. 282(C).
    9. Dervishi, Sokol & Baçi, Nerina, 2023. "Early design evaluation of low-rise school building morphology on energy performance: Climatic contexts of Southeast Europe," Energy, Elsevier, vol. 269(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. Runst, Petrik & Höhle, David, 2022. "The German eco tax and its impact on CO2 emissions," Energy Policy, Elsevier, vol. 160(C).
    2. Jia, Jiandong & Li, Haiqiao & Wu, Di & Guo, Jiacheng & Jiang, Leilei & Fan, Zeming, 2024. "Multi-objective optimization study of regional integrated energy systems coupled with renewable energy, energy storage, and inter-station energy sharing," Renewable Energy, Elsevier, vol. 225(C).
    3. Dorothée Charlier & Mouez Fodha & Djamel Kirat, 2023. "Residential CO2 Emissions in Europe and Carbon Taxation: A Country-Level Assessment," The Energy Journal, , vol. 44(5), pages 187-206, September.
    4. Li, Xiang & Yilmaz, Selin & Patel, Martin K. & Chambers, Jonathan, 2023. "Techno-economic analysis of fifth-generation district heating and cooling combined with seasonal borehole thermal energy storage," Energy, Elsevier, vol. 285(C).
    5. Diana D’Agostino & Martina Di Mascolo & Federico Minelli & Francesco Minichiello, 2024. "A New Tailored Approach to Calculate the Optimal Number of Outdoor Air Changes in School Building HVAC Systems in the Post-COVID-19 Era," Energies, MDPI, vol. 17(11), pages 1-36, June.
    6. Runst, Petrik & Thonipara, Anita, 2020. "Dosis facit effectum why the size of the carbon tax matters: Evidence from the Swedish residential sector," Energy Economics, Elsevier, vol. 91(C).
    7. Chia-Nan Wang & Thi-Duong Nguyen & Min-Chun Yu, 2019. "Energy Use Efficiency Past-to-Future Evaluation: An International Comparison," Energies, MDPI, vol. 12(19), pages 1-15, October.
    8. Zhang, Hu & Tian, Wei & Tan, Jingyuan & Yin, Juchao & Fu, Xing, 2024. "Sensitivity analysis of multiple time-scale building energy using Bayesian adaptive spline surfaces," Applied Energy, Elsevier, vol. 363(C).
    9. Matheus Koengkan & José Alberto Fuinhas & Magdalena Radulescu & Emad Kazemzadeh & Nooshin Karimi Alavijeh & Renato Santiago & Mônica Teixeira, 2023. "Assessing the Role of Financial Incentives in Promoting Eco-Friendly Houses in the Lisbon Metropolitan Area—Portugal," Energies, MDPI, vol. 16(4), pages 1-20, February.
    10. Larissa Kühn & Nico Fuchs & Lars Braun & Laura Maier & Dirk Müller, 2024. "Landlord–Tenant Dilemma: How Does the Conflict Affect the Design of Building Energy Systems?," Energies, MDPI, vol. 17(3), pages 1-27, January.
    11. Kuppusamy, Saravanan & Magazine, Michael J. & Rao, Uday, 2023. "Impact of downstream emissions cap-and-trade policy on electric vehicle and clean utility adoption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    12. Matheus Koengkan & Nuno Silva & José Alberto Fuinhas, 2023. "Assessing Energy Performance Certificates for Buildings: A Fuzzy Set Qualitative Comparative Analysis (fsQCA) of Portuguese Municipalities," Energies, MDPI, vol. 16(7), pages 1-30, April.
    13. Martin, Rit & Arthur, Thomas & Jonathan, Villot & Mathieu, Thorel & Enora, Garreau & Robin, Girard, 2024. "SHAPE: A temporal optimization model for residential buildings retrofit to discuss policy objectives," Applied Energy, Elsevier, vol. 361(C).
    14. Aleksejs Prozuments & Anatolijs Borodinecs & Guna Bebre & Diana Bajare, 2023. "A Review on Trombe Wall Technology Feasibility and Applications," Sustainability, MDPI, vol. 15(5), pages 1-15, February.
    15. Amanowicz, Łukasz, 2018. "Influence of geometrical parameters on the flow characteristics of multi-pipe earth-to-air heat exchangers – experimental and CFD investigations," Applied Energy, Elsevier, vol. 226(C), pages 849-861.
    16. Thapar, Sapan, 2020. "Energy consumption behavior: A data-based analysis of urban Indian households," Energy Policy, Elsevier, vol. 143(C).
    17. Zhou, Kai & Leng, Jia-Wei, 2023. "State-of-the-art research of performance-driven architectural design for low-carbon urban underground space: Systematic review and proposed design strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    18. Abdurahman Alrobaie & Moncef Krarti, 2022. "A Review of Data-Driven Approaches for Measurement and Verification Analysis of Building Energy Retrofits," Energies, MDPI, vol. 15(21), pages 1-30, October.
    19. Haihui Tan & Xiaofeng Zhang & Li Zhang & Tangfei Tao & Guanghua Xu, 2019. "Ultrasonic Guided Wave Phased Array Focusing Technology and Its Application to Defrosting Performance Improvement of Air-Source Heat Pumps," Energies, MDPI, vol. 12(16), pages 1-18, August.
    20. Mieko Fujisawa & Kazuhisa Takemura & Yukihiko Funaki & Nobuyuki Uto & Ryo Takahashi, 2020. "An Experimental Study of the Effect of Energy Label Design on the Correct Evaluation of Buildings' Energy Performance and Promotion of Energy Saving," International Real Estate Review, Asian Real Estate Society, vol. 23(1), pages 733-762.

    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:16:y:2023:i:22:p:7483-:d:1275864. 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.