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Development of benchmark models for the Egyptian residential buildings sector


  • Attia, Shady
  • Evrard, Arnaud
  • Gratia, Elisabeth


The aim of this study is to develop representative simulation building energy data sets and benchmark models for the Egyptian residential sector. This study reports the results of a recent field survey for residential apartment buildings in Egypt. Two building performance simulation models are created reflecting the average energy consumption characteristics of air-conditioned residential apartments in Alexandria, Cairo and Asyut. Aiming for future evaluation of the cost and energy affects of the new Egyptian energy standard this study established two detailed models describing the energy use profiles for air-conditioners, lighting, domestic hot water and appliances in respect to buildings layout and construction. Using EnergyPlus simulation tool the collected surveyed data was used as input for two building simulation models. The simulation models were verified against the apartment characteristic found in the survey. This paper presents details of the building models including the energy use patterns and profiles created for this study.

Suggested Citation

  • Attia, Shady & Evrard, Arnaud & Gratia, Elisabeth, 2012. "Development of benchmark models for the Egyptian residential buildings sector," Applied Energy, Elsevier, vol. 94(C), pages 270-284.
  • Handle: RePEc:eee:appene:v:94:y:2012:i:c:p:270-284
    DOI: 10.1016/j.apenergy.2012.01.065

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    1. Gaiser, Kyle & Stroeve, Pieter, 2014. "The impact of scheduling appliances and rate structure on bill savings for net-zero energy communities: Application to West Village," Applied Energy, Elsevier, vol. 113(C), pages 1586-1595.
    2. Radhi, Hassan & Sharples, Stephen, 2013. "Quantifying the domestic electricity consumption for air-conditioning due to urban heat islands in hot arid regions," Applied Energy, Elsevier, vol. 112(C), pages 371-380.
    3. 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.
    4. 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.
    5. Yang, Tian-Jian & Zhang, Yue-Jun & Tang, Su & Zhang, Jing, 2016. "How to assess and manage energy performance of numerous telecommunication base stations: Evidence in China," Applied Energy, Elsevier, vol. 164(C), pages 436-445.
    6. Szalay, Zsuzsa & Zöld, András, 2014. "Definition of nearly zero-energy building requirements based on a large building sample," Energy Policy, Elsevier, vol. 74(C), pages 510-521.
    7. Filogamo, Luana & Peri, Giorgia & Rizzo, Gianfranco & Giaccone, Antonino, 2014. "On the classification of large residential buildings stocks by sample typologies for energy planning purposes," Applied Energy, Elsevier, vol. 135(C), pages 825-835.
    8. Arumägi, Endrik & Kalamees, Targo, 2014. "Analysis of energy economic renovation for historic wooden apartment buildings in cold climates," Applied Energy, Elsevier, vol. 115(C), pages 540-548.


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