IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i4p693-d207824.html
   My bibliography  Save this article

Air Distribution and Air Handling Unit Configuration Effects on Energy Performance in an Air-Heated Ice Rink Arena

Author

Listed:
  • Mehdi Taebnia

    (Aalto University, Department of Civil Engineering, P.O. Box 12100, 00076 Aalto, Finland)

  • Sander Toomla

    (Granlund Consulting Oy, Malminkaari 21, PL 59, 00701 Helsinki, Finland)

  • Lauri Leppä

    (Leanheat Oy, Hiomotie 10, FI-00380 Helsinki, Finland)

  • Jarek Kurnitski

    (Aalto University, Department of Civil Engineering, P.O. Box 12100, 00076 Aalto, Finland
    Department of Civil Engineering and Architecture, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia)

Abstract

Indoor ice rink arenas are among the foremost consumers of energy within building sector due to their exclusive indoor conditions. A single ice rink arena may consume energy of up to 3500 MWh annually, indicating the potential for energy saving. The cooling effect of the ice pad, which is the main source for heat loss, causes a vertical indoor air temperature gradient. The objective of the present study is twofold: (i) to study vertical temperature stratification of indoor air, and how it impacts on heat load toward the ice pad; (ii) to investigate the energy performance of air handling units (AHU), as well as the effects of various AHU layouts on ice rinks’ energy consumption. To this end, six AHU configurations with different air-distribution solutions are presented, based on existing arenas in Finland. The results of the study verify that cooling energy demand can significantly be reduced by 38 percent if indoor temperature gradient approaches 1 °C/m. This is implemented through air distribution solutions. Moreover, the cooling energy demand for dehumidification is decreased to 59.5 percent through precisely planning the AHU layout, particularly at the cooling coil and heat recovery sections. The study reveals that a more customized air distribution results in less stratified indoor air temperature.

Suggested Citation

  • Mehdi Taebnia & Sander Toomla & Lauri Leppä & Jarek Kurnitski, 2019. "Air Distribution and Air Handling Unit Configuration Effects on Energy Performance in an Air-Heated Ice Rink Arena," Energies, MDPI, vol. 12(4), pages 1-21, February.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:693-:d:207824
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/4/693/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/4/693/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anna Laura Pisello & Michael Bobker & Franco Cotana, 2012. "A Building Energy Efficiency Optimization Method by Evaluating the Effective Thermal Zones Occupancy," Energies, MDPI, vol. 5(12), pages 1-22, December.
    2. Daoud, Ahmed & Galanis, Nicolas, 2008. "Prediction of airflow patterns in a ventilated enclosure with zonal methods," Applied Energy, Elsevier, vol. 85(6), pages 439-448, June.
    3. Samuel Domínguez & Juan J. Sendra & Angel L. León & Paula M. Esquivias, 2012. "Towards Energy Demand Reduction in Social Housing Buildings: Envelope System Optimization Strategies," Energies, MDPI, vol. 5(7), pages 1-25, July.
    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. Jesica Fernández-Agüera & Samuel Dominguez-Amarillo & Marco Fornaciari & Fabio Orlandi, 2019. "TVOCs and PM 2.5 in Naturally Ventilated Homes: Three Case Studies in a Mild Climate," Sustainability, MDPI, vol. 11(22), pages 1-22, November.
    2. Shengyuan Guo & Wanjiang Wang & Yihuan Zhou, 2022. "Research on Energy Saving and Economy of Old Buildings Based on Parametric Design: A Case Study of a Hospital in Linyi City, Shandong Province," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    3. Reynolds, Jonathan & Rezgui, Yacine & Kwan, Alan & Piriou, Solène, 2018. "A zone-level, building energy optimisation combining an artificial neural network, a genetic algorithm, and model predictive control," Energy, Elsevier, vol. 151(C), pages 729-739.
    4. Francesco Asdrubali & Cinzia Buratti & Franco Cotana & Giorgio Baldinelli & Michele Goretti & Elisa Moretti & Catia Baldassarri & Elisa Belloni & Francesco Bianchi & Antonella Rotili & Marco Vergoni &, 2013. "Evaluation of Green Buildings’ Overall Performance through in Situ Monitoring and Simulations," Energies, MDPI, vol. 6(12), pages 1-23, December.
    5. De Boeck, L. & Verbeke, S. & Audenaert, A. & De Mesmaeker, L., 2015. "Improving the energy performance of residential buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 960-975.
    6. Carmen María Calama-González & Rafael Suárez & Ángel Luis León-Rodríguez & Samuel Domínguez-Amarillo, 2018. "Evaluation of Thermal Comfort Conditions in Retrofitted Facades Using Test Cells and Considering Overheating Scenarios in a Mediterranean Climate," Energies, MDPI, vol. 11(4), pages 1-19, March.
    7. Dongsu Kim & Jongman Lee & Sunglok Do & Pedro J. Mago & Kwang Ho Lee & Heejin Cho, 2022. "Energy Modeling and Model Predictive Control for HVAC in Buildings: A Review of Current Research Trends," Energies, MDPI, vol. 15(19), pages 1-30, October.
    8. Ignacio Zabalza & Sabina Scarpellini & Alfonso Aranda & Eva Llera & Alberto Jáñez, 2013. "Use of LCA as a Tool for Building Ecodesign. A Case Study of a Low Energy Building in Spain," Energies, MDPI, vol. 6(8), pages 1-21, August.
    9. Anna Laura Pisello & Federico Rossi & Franco Cotana, 2014. "Summer and Winter Effect of Innovative Cool Roof Tiles on the Dynamic Thermal Behavior of Buildings," Energies, MDPI, vol. 7(4), pages 1-19, April.
    10. Lefeng Cheng & Zhiyi Zhang & Haorong Jiang & Tao Yu & Wenrui Wang & Weifeng Xu & Jinxiu Hua, 2018. "Local Energy Management and Optimization: A Novel Energy Universal Service Bus System Based on Energy Internet Technologies," Energies, MDPI, vol. 11(5), pages 1-38, May.
    11. Ana Ogando & Natalia Cid & Marta Fernández, 2017. "Energy Modelling and Automated Calibrations of Ancient Building Simulations: A Case Study of a School in the Northwest of Spain," Energies, MDPI, vol. 10(6), pages 1-17, June.
    12. Pisello, Anna Laura & Asdrubali, Francesco, 2014. "Human-based energy retrofits in residential buildings: A cost-effective alternative to traditional physical strategies," Applied Energy, Elsevier, vol. 133(C), pages 224-235.
    13. Annamaria Buonomano, 2016. "Code-to-Code Validation and Application of a Dynamic Simulation Tool for the Building Energy Performance Analysis," Energies, MDPI, vol. 9(4), pages 1-29, April.
    14. Balvís, Eduardo & Sampedro, Óscar & Zaragoza, Sonia & Paredes, Angel & Michinel, Humberto, 2016. "A simple model for automatic analysis and diagnosis of environmental thermal comfort in energy efficient buildings," Applied Energy, Elsevier, vol. 177(C), pages 60-70.
    15. Cotana, Franco & Rossi, Federico & Filipponi, Mirko & Coccia, Valentina & Pisello, Anna Laura & Bonamente, Emanuele & Petrozzi, Alessandro & Cavalaglio, Gianluca, 2014. "Albedo control as an effective strategy to tackle Global Warming: A case study," Applied Energy, Elsevier, vol. 130(C), pages 641-647.
    16. Wen Cao & Lin Yang & Qinyi Zhang & Lihua Chen & Weidong Wu, 2021. "Evaluation of Rural Dwellings’ Energy-Saving Retrofit with Adaptive Thermal Comfort Theory," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    17. Anna Laura Pisello & Franco Cotana & Andrea Nicolini & Lucia Brinchi, 2013. "Development of Clay Tile Coatings for Steep-Sloped Cool Roofs," Energies, MDPI, vol. 6(8), pages 1-17, July.
    18. Matteo Dongellini & Paolo Valdiserri & Claudia Naldi & Gian Luca Morini, 2020. "The Role of Emitters, Heat Pump Size, and Building Massive Envelope Elements on the Seasonal Energy Performance of Heat Pump-Based Heating Systems," Energies, MDPI, vol. 13(19), pages 1-14, September.
    19. Lu, Yanyu & Dong, Jiankai & Liu, Jing, 2020. "Zonal modelling for thermal and energy performance of large space buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    20. Linlin Zhao & Zhansheng Liu & Jasper Mbachu, 2019. "Energy Management through Cost Forecasting for Residential Buildings in New Zealand," Energies, MDPI, vol. 12(15), pages 1-24, July.

    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:12:y:2019:i:4:p:693-:d:207824. 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.