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

Author

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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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    1. Hachem, Caroline & Athienitis, Andreas & Fazio, Paul, 2014. "Energy performance enhancement in multistory residential buildings," Applied Energy, Elsevier, vol. 116(C), pages 9-19.
    2. Shimoda, Yoshiyuki & Yamaguchi, Yukio & Okamura, Tomo & Taniguchi, Ayako & Yamaguchi, Yohei, 2010. "Prediction of greenhouse gas reduction potential in Japanese residential sector by residential energy end-use model," Applied Energy, Elsevier, vol. 87(6), pages 1944-1952, June.
    3. Zhou, Yuyu & Clarke, Leon & Eom, Jiyong & Kyle, Page & Patel, Pralit & Kim, Son H. & Dirks, James & Jensen, Erik & Liu, Ying & Rice, Jennie & Schmidt, Laurel & Seiple, Timothy, 2014. "Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework," Applied Energy, Elsevier, vol. 113(C), pages 1077-1088.
    4. Olofsson, Thomas & Mahlia, T.M.I., 2012. "Modeling and simulation of the energy use in an occupied residential building in cold climate," Applied Energy, Elsevier, vol. 91(1), pages 432-438.
    5. Koo, Choongwan & Park, Sungki & Hong, Taehoon & Park, Hyo Seon, 2014. "An estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method," Applied Energy, Elsevier, vol. 115(C), pages 205-215.
    6. AfDB AfDB, . "Zambia Country Office Annual Report 2012," Annual Report, African Development Bank, number 975.
    7. 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.
    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.
    9. Wan, K. S. Y. & Yik, F. W. H., 2004. "Building design and energy end-use characteristics of high-rise residential buildings in Hong Kong," Applied Energy, Elsevier, vol. 78(1), pages 19-36, May.
    10. 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.
    11. AfDB AfDB, . "Annual Report 2012 (Arabic Version)," Annual Report, African Development Bank, number 462.
    12. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    13. AfDB AfDB, . "Annual Report 2012," Annual Report, African Development Bank, number 461.
    14. Franzitta, Vincenzo & La Gennusa, Maria & Peri, Giorgia & Rizzo, Gianfranco & Scaccianoce, Gianluca, 2011. "Toward a European Eco-label brand for residential buildings: Holistic or by-components approaches?," Energy, Elsevier, vol. 36(4), pages 1884-1892.
    15. Kilpatrick, R.A.R. & Banfill, P.F.G. & Jenkins, D.P., 2011. "Methodology for characterising domestic electrical demand by usage categories," Applied Energy, Elsevier, vol. 88(3), pages 612-621, March.
    16. Baetens, R. & De Coninck, R. & Van Roy, J. & Verbruggen, B. & Driesen, J. & Helsen, L. & Saelens, D., 2012. "Assessing electrical bottlenecks at feeder level for residential net zero-energy buildings by integrated system simulation," Applied Energy, Elsevier, vol. 96(C), pages 74-83.
    17. Bartusch, Cajsa & Odlare, Monica & Wallin, Fredrik & Wester, Lars, 2012. "Exploring variance in residential electricity consumption: Household features and building properties," Applied Energy, Elsevier, vol. 92(C), pages 637-643.
    18. Aydinalp, Merih & Ismet Ugursal, V. & Fung, Alan S., 2002. "Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks," Applied Energy, Elsevier, vol. 71(2), pages 87-110, February.
    19. AfDB AfDB, . "Annual Report 2012 (Portuguese Version)," Annual Report, African Development Bank, number 463.
    20. WorldFish, 2013. "Annual report 2012/13," Monographs, The WorldFish Center, number 40306, April.
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