IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v306y2022ipbs0306261921014069.html
   My bibliography  Save this article

Developing a benchmark model for renovated, nearly zero-energy, terraced dwellings

Author

Listed:
  • Attia, Shady
  • Canonge, Théophile
  • Popineau, Mathieu
  • Cuchet, Mathilde

Abstract

Brusselsis one of the European cities with themost significant number of Passive House buildings on the continent. In the Brussels-Capital Region, the nearly zero-energy building obligations implemented is implemented since 2010. The Brussels-Capital Region has set up ambitious energy standards for new constructions. These standards target 'nearly zero' or 'very low energy consumption and are inspired by the 'passive house standard,' where high-energy performance is first achieved. Ten years after boasting this groundbreaking policy, many renovated, terraced houses are renovated to comply with the nearly zero-energy building requirements. Therefore, this study aims to develop an energy performance data set and one building performance simulation benchmark model for nearly zero-energy dwellings in Brussels. The study reports an inventory and field survey conducted on a terraced house renovated after the year 2010. An analysis of energy consumption (electricity and natural gas) and a walkthrough survey were conducted. A building performance simulation model is created in EnergyPlus to benchmark the average energy consumption and building characteristics. The estimate's validity has been further checked against the public statistics and verified through model calibration and utility bill comparison. The benchmark has an average energy use intensity of 29 kWh/m2/year and represents terraced single-family houses after renovation. The paper provides a timely opportunity to evaluate the actual performance of nearly zero-energy terraced houses. The findings on energy needs and use intensity are useful in temperate and continental climates.

Suggested Citation

  • Attia, Shady & Canonge, Théophile & Popineau, Mathieu & Cuchet, Mathilde, 2022. "Developing a benchmark model for renovated, nearly zero-energy, terraced dwellings," Applied Energy, Elsevier, vol. 306(PB).
  • Handle: RePEc:eee:appene:v:306:y:2022:i:pb:s0306261921014069
    DOI: 10.1016/j.apenergy.2021.118128
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921014069
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2021.118128?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shady Attia, 2020. "Spatial and Behavioral Thermal Adaptation in Net Zero Energy Buildings: An Exploratory Investigation," Sustainability, MDPI, vol. 12(19), pages 1-15, September.
    2. Enrico Fabrizio & Valentina Monetti, 2015. "Methodologies and Advancements in the Calibration of Building Energy Models," Energies, MDPI, vol. 8(4), pages 1-27, March.
    3. Shady Attia & Camille Gobin, 2020. "Climate Change Effects on Belgian Households: A Case Study of a Nearly Zero Energy Building," Energies, MDPI, vol. 13(20), pages 1-11, October.
    4. Langevin, J. & Reyna, J.L. & Ebrahimigharehbaghi, S. & Sandberg, N. & Fennell, P. & Nägeli, C. & Laverge, J. & Delghust, M. & Mata, É. & Van Hove, M. & Webster, J. & Federico, F. & Jakob, M. & Camaras, 2020. "Developing a common approach for classifying building stock energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    5. Corgnati, Stefano Paolo & Fabrizio, Enrico & Filippi, Marco & Monetti, Valentina, 2013. "Reference buildings for cost optimal analysis: Method of definition and application," Applied Energy, Elsevier, vol. 102(C), pages 983-993.
    6. Attia, Shady & Shadmanfar, Niloufar & Ricci, Federico, 2020. "Developing two benchmark models for nearly zero energy schools," Applied Energy, Elsevier, vol. 263(C).
    7. Georges, L. & Massart, C. & Van Moeseke, G. & De Herde, A., 2012. "Environmental and economic performance of heating systems for energy-efficient dwellings: Case of passive and low-energy single-family houses," Energy Policy, Elsevier, vol. 40(C), pages 452-464.
    8. Nishimwe, Antoinette Marie Reine & Reiter, Sigrid, 2021. "Building heat consumption and heat demand assessment, characterization, and mapping on a regional scale: A case study of the Walloon building stock in Belgium," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    9. Guirec Ruellan & Mario Cools & Shady Attia, 2021. "Analysis of the Determining Factors for the Renovation of the Walloon Residential Building Stock," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    10. Singh, Manoj Kumar & Attia, Shady & Mahapatra, Sadhan & Teller, Jacques, 2016. "Assessment of thermal comfort in existing pre-1945 residential building stock," Energy, Elsevier, vol. 98(C), pages 122-134.
    11. Michael D. Murphy & Paul D. O’Sullivan & Guilherme Carrilho da Graça & Adam O’Donovan, 2021. "Development, Calibration and Validation of an Internal Air Temperature Model for a Naturally Ventilated Nearly Zero Energy Building: Comparison of Model Types and Calibration Methods," Energies, MDPI, vol. 14(4), pages 1-24, February.
    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. Shen, Pengyuan & Wang, Huilong, 2024. "Archetype building energy modeling approaches and applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).

    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. Shady Attia, 2020. "Spatial and Behavioral Thermal Adaptation in Net Zero Energy Buildings: An Exploratory Investigation," Sustainability, MDPI, vol. 12(19), pages 1-15, September.
    2. Jonghoon Ahn, 2020. "Improvement of the Performance Balance between Thermal Comfort and Energy Use for a Building Space in the Mid-Spring Season," Sustainability, MDPI, vol. 12(22), pages 1-14, November.
    3. Hye-Jin Kim & Do-Young Choi & Donghyun Seo, 2021. "Development and Verification of Prototypical Office Buildings Models Using the National Building Energy Consumption Survey in Korea," Sustainability, MDPI, vol. 13(7), pages 1-15, March.
    4. Yamaguchi, Yohei & Kim, Bumjoon & Kitamura, Takuya & Akizawa, Kotone & Chen, Hemiao & Shimoda, Yoshiyuki, 2022. "Building stock energy modeling considering building system composition and long-term change for climate change mitigation of commercial building stocks," Applied Energy, Elsevier, vol. 306(PA).
    5. Kazas, Georgios & Fabrizio, Enrico & Perino, Marco, 2017. "Energy demand profile generation with detailed time resolution at an urban district scale: A reference building approach and case study," Applied Energy, Elsevier, vol. 193(C), pages 243-262.
    6. Guirec Ruellan & Mario Cools & Shady Attia, 2021. "Analysis of the Determining Factors for the Renovation of the Walloon Residential Building Stock," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    7. Aste, Niccolò & Manfren, Massimiliano & Marenzi, Giorgia, 2017. "Building Automation and Control Systems and performance optimization: A framework for analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 313-330.
    8. Massimiliano Manfren & Maurizio Sibilla & Lamberto Tronchin, 2021. "Energy Modelling and Analytics in the Built Environment—A Review of Their Role for Energy Transitions in the Construction Sector," Energies, MDPI, vol. 14(3), pages 1-29, January.
    9. Arkar, C. & Žižak, T. & Domjan, S. & Medved, S., 2020. "Dynamic parametric models for the holistic evaluation of semi-transparent photovoltaic/thermal façade with latent storage inserts," Applied Energy, Elsevier, vol. 280(C).
    10. Solène Goy & François Maréchal & Donal Finn, 2020. "Data for Urban Scale Building Energy Modelling: Assessing Impacts and Overcoming Availability Challenges," Energies, MDPI, vol. 13(16), pages 1-23, August.
    11. Nutkiewicz, Alex & Yang, Zheng & Jain, Rishee K., 2018. "Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow," Applied Energy, Elsevier, vol. 225(C), pages 1176-1189.
    12. Ahmed, Omar & Sezer, Nurettin & Ouf, Mohamed & Wang, Liangzhu (Leon) & Hassan, Ibrahim Galal, 2023. "State-of-the-art review of occupant behavior modeling and implementation in building performance simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    13. Baglivo, Cristina & Congedo, Paolo Maria & D'Agostino, Delia & Zacà, Ilaria, 2015. "Cost-optimal analysis and technical comparison between standard and high efficient mono-residential buildings in a warm climate," Energy, Elsevier, vol. 83(C), pages 560-575.
    14. Pikas, Ergo & Thalfeldt, Martin & Kurnitski, Jarek & Liias, Roode, 2015. "Extra cost analyses of two apartment buildings for achieving nearly zero and low energy buildings," Energy, Elsevier, vol. 84(C), pages 623-633.
    15. Yuan, Jun & Nian, Victor & Su, Bin & Meng, Qun, 2017. "A simultaneous calibration and parameter ranking method for building energy models," Applied Energy, Elsevier, vol. 206(C), pages 657-666.
    16. Brandão de Vasconcelos, Ana & Pinheiro, Manuel Duarte & Manso, Armando & Cabaço, António, 2015. "A Portuguese approach to define reference buildings for cost-optimal methodologies," Applied Energy, Elsevier, vol. 140(C), pages 316-328.
    17. Pajek, Luka & Košir, Mitja, 2021. "Strategy for achieving long-term energy efficiency of European single-family buildings through passive climate adaptation," Applied Energy, Elsevier, vol. 297(C).
    18. Braulio-Gonzalo, Marta & Bovea, María D. & Jorge-Ortiz, Andrea & Juan, Pablo, 2021. "Which is the best-fit response variable for modelling the energy consumption of households? An analysis based on survey data," Energy, Elsevier, vol. 231(C).
    19. Suzana Domjan & Sašo Medved & Boštjan Černe & Ciril Arkar, 2019. "Fast Modelling of nZEB Metrics of Office Buildings Built with Advanced Glass and BIPV Facade Structures," Energies, MDPI, vol. 12(16), pages 1-18, August.
    20. Younghoon Kwak & Jeonga Kang & Sun-Hye Mun & Young-Sun Jeong & Jung-Ho Huh, 2020. "Development and Application of a Flexible Modeling Approach to Reference Buildings for Energy Analysis," Energies, MDPI, vol. 13(21), pages 1-22, November.

    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:eee:appene:v:306:y:2022:i:pb:s0306261921014069. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.