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Developing two benchmark models for nearly zero energy schools

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  • Attia, Shady
  • Shadmanfar, Niloufar
  • Ricci, Federico

Abstract

The aim of this study is to develop an energy performance data set and two building performance simulation benchmark models for high performance schools in Belgium. The study reports the results of an inventory and field survey conducted on nearly Zero Energy Schools (nZES) and Passive House Schools (PHS) constructed after year 2013. An analysis of energy consumption (electricity and natural gas) and a walkthrough survey were conducted during May 2018. The energy consumption analysis was done for the occupancy period of 2015–2018 based on monthly consumption data. Two building performance simulation models are created in EnergyPlus to benchmark the average energy consumption and building characteristics. The validity of the estimate has been further checked against the public statistics and verified through model calibration and utility bill comparison. The paper provides a timely opportunity to evaluate the real performance of nZES, in relation to design assumptions and how schools’ professionals can turn the energy performance gap challenge to their advantage. The findings on energy needs and use intensity are useful in temperate and continental climates.

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  • Attia, Shady & Shadmanfar, Niloufar & Ricci, Federico, 2020. "Developing two benchmark models for nearly zero energy schools," Applied Energy, Elsevier, vol. 263(C).
    • Handle: RePEc:eee:appene:v:263:y:2020:i:c:s0306261920301264
    DOI: 10.1016/j.apenergy.2020.114614
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    Cited by:

    1. 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).
    2. 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.
    3. Pengying Wang & Shuo Zhang, 2022. "Retrofitting Strategies Based on Orthogonal Array Testing to Develop Nearly Zero Energy Buildings," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    4. Li, Tian & Bie, Haipei & Lu, Yi & Sawyer, Azadeh Omidfar & Loftness, Vivian, 2024. "MEBA: AI-powered precise building monthly energy benchmarking approach," Applied Energy, Elsevier, vol. 359(C).
    5. 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.
    6. Yizhe Xu & Chengchu Yan & Hao Qian & Liang Sun & Gang Wang & Yanlong Jiang, 2021. "A Novel Optimization Method for Conventional Primary and Secondary School Classrooms in Southern China Considering Energy Demand, Thermal Comfort and Daylighting," Sustainability, MDPI, vol. 13(23), pages 1-19, November.

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