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On the classification of large residential buildings stocks by sample typologies for energy planning purposes

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  • Filogamo, Luana
  • Peri, Giorgia
  • Rizzo, Gianfranco
  • Giaccone, Antonino

Abstract

Local and central administrations are often called to properly allocate economic resources intended for the territorial energy planning, on the basis of the performances achieved by implementing energy conservation measures. Particularly in the residential sector, that represents one of the most relevant sector for the energy demand, effective and reliable evaluation tools are required for this aim. Unfortunately, building stocks are characterized by a very large number of buildings that are referred to different construction periods and are equipped with a variety of appliances and tools, other than with different heating and cooling systems. This means that the whole energy consumption of a large territorial context cannot be obtained by simply summing up the energy requirements of each single dwelling and building. A procedure is therefore needed that, by means of a suitable characterization of the building stock and of the structure of the energy consumption, allows to assess the whole residential energy requirements and the effects induced by energy conservation measures.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:135:y:2014:i:c:p:825-835
    DOI: 10.1016/j.apenergy.2014.04.002
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    15. Sara Verones, 2017. "Retrofitting the existing building stock through a development rights market stimulation tool: An assessment of a recent experience in Northern Italy," Urban Studies, Urban Studies Journal Limited, vol. 54(8), pages 1905-1920, June.
    16. Hanan S.S. Ibrahim & Ahmed Z. Khan & Shady Attia & Yehya Serag, 2021. "Classification of Heritage Residential Building Stock and Defining Sustainable Retrofitting Scenarios in Khedivial Cairo," Sustainability, MDPI, vol. 13(2), pages 1-26, January.
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    18. Aline Schaefer & Taylana Piccinini Scolaro & Enedir Ghisi, 2023. "Finding Patterns of Construction Systems in Low-Income Housing for Thermal and Energy Performance Evaluation through Cluster Analysis," Sustainability, MDPI, vol. 15(17), pages 1-23, August.
    19. Haitao Lian & Junhan Zhang & Gaomei Li & Rui Ren, 2023. "The Relationship between Residential Block Forms and Building Carbon Emissions to Achieve Carbon Neutrality Goals: A Case Study of Wuhan, China," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
    20. Cerezo Davila, Carlos & Reinhart, Christoph F. & Bemis, Jamie L., 2016. "Modeling Boston: A workflow for the efficient generation and maintenance of urban building energy models from existing geospatial datasets," Energy, Elsevier, vol. 117(P1), pages 237-250.
    21. Markovič, Rene & Gosak, Marko & Grubelnik, Vladimir & Marhl, Marko & Virtič, Peter, 2019. "Data-driven classification of residential energy consumption patterns by means of functional connectivity networks," Applied Energy, Elsevier, vol. 242(C), pages 506-515.
    22. Hanan Ibrahim & Ahmed Z. Khan & Shady Attia & Yehya Serag, 2021. "Classification of heritage residential building stock and defining sustainable retrofitting scenarios in Khedivial Cairo," ULB Institutional Repository 2013/326195, ULB -- Universite Libre de Bruxelles.
    23. Fabio Fantozzi & Caterina Gargari & Massimo Rovai & Giacomo Salvadori, 2019. "Energy Upgrading of Residential Building Stock: Use of Life Cycle Cost Analysis to Assess Interventions on Social Housing in Italy," Sustainability, MDPI, vol. 11(5), pages 1-13, March.
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