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Building energy retrofit index for policy making and decision support at regional and national scales

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  • Khayatian, Fazel
  • Sarto, Luca
  • Dall'O', Giuliano

Abstract

The vast data collected since the enforcement of building energy labelling in Italy has provided valuable information that is useful for planning the future of building energy efficiency. However, the indicators provided through energy certificates are not suitable to support decisions, which target building energy retrofit in a regional scale. Considering the bias of the energy performance index toward a building’s shape, decisions based on this index will favor buildings with a specific geometric characteristics. This study tends to overcome this issue by introducing a new indicator, tailored to rank buildings based on retrofitable characteristics. The proposed framework is validated by a case study, in which a large dataset of office buildings are assigned with the new index. Results indicate that the proposed indicator succeeds to extract a single index, which is representative of all building characteristics subject to energy retrofit. A new labeling procedure is also compared with the conventional classification of buildings. It is observed that the proposed labels properly partitions the dataset, according to buildings’ potential to undergo energy retrofit.

Suggested Citation

  • Khayatian, Fazel & Sarto, Luca & Dall'O', Giuliano, 2017. "Building energy retrofit index for policy making and decision support at regional and national scales," Applied Energy, Elsevier, vol. 206(C), pages 1062-1075.
    • Handle: RePEc:eee:appene:v:206:y:2017:i:c:p:1062-1075
    DOI: 10.1016/j.apenergy.2017.08.237
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    as
    1. Hyland, Marie & Lyons, Ronan C. & Lyons, Seán, 2013. "The value of domestic building energy efficiency — evidence from Ireland," Energy Economics, Elsevier, vol. 40(C), pages 943-952.
    2. Pat McAllister & Franz Fuerst & Buki Ekeowa, 2011. "The Impact of Energy Performance Certificates on the Rental and Capital Values of Commercial Property," ERES eres2011_89, European Real Estate Society (ERES).
    3. Burman, Esfand & Mumovic, Dejan & Kimpian, Judit, 2014. "Towards measurement and verification of energy performance under the framework of the European directive for energy performance of buildings," Energy, Elsevier, vol. 77(C), pages 153-163.
    4. Fuerst, Franz & McAllister, Patrick, 2011. "The impact of Energy Performance Certificates on the rental and capital values of commercial property assets," Energy Policy, Elsevier, vol. 39(10), pages 6608-6614, October.
    5. Farsi, Mehdi, 2010. "Risk aversion and willingness to pay for energy efficient systems in rental apartments," Energy Policy, Elsevier, vol. 38(6), pages 3078-3088, June.
    6. López-González, Luis M. & López-Ochoa, Luis M. & Las-Heras-Casas, Jesús & García-Lozano, César, 2016. "Update of energy performance certificates in the residential sector and scenarios that consider the impact of automation, control and management systems: A case study of La Rioja," Applied Energy, Elsevier, vol. 178(C), pages 308-322.
    7. Ryghaug, Marianne & Sørensen, Knut H., 2009. "How energy efficiency fails in the building industry," Energy Policy, Elsevier, vol. 37(3), pages 984-991, March.
    8. repec:arz:wpaper:eres2011-89 is not listed on IDEAS
    9. Walter, Travis & Sohn, Michael D., 2016. "A regression-based approach to estimating retrofit savings using the Building Performance Database," Applied Energy, Elsevier, vol. 179(C), pages 996-1005.
    10. Chung, William, 2011. "Review of building energy-use performance benchmarking methodologies," Applied Energy, Elsevier, vol. 88(5), pages 1470-1479, May.
    11. Amstalden, Roger W. & Kost, Michael & Nathani, Carsten & Imboden, Dieter M., 2007. "Economic potential of energy-efficient retrofitting in the Swiss residential building sector: The effects of policy instruments and energy price expectations," Energy Policy, Elsevier, vol. 35(3), pages 1819-1829, March.
    12. Banfi, Silvia & Farsi, Mehdi & Filippini, Massimo & Jakob, Martin, 2008. "Willingness to pay for energy-saving measures in residential buildings," Energy Economics, Elsevier, vol. 30(2), pages 503-516, March.
    13. Johansson, Tim & Olofsson, Thomas & Mangold, Mikael, 2017. "Development of an energy atlas for renovation of the multifamily building stock in Sweden," Applied Energy, Elsevier, vol. 203(C), pages 723-736.
    14. Xu, Pengpeng & Chan, Edwin Hon-Wan & Qian, Queena Kun, 2011. "Success factors of energy performance contracting (EPC) for sustainable building energy efficiency retrofit (BEER) of hotel buildings in China," Energy Policy, Elsevier, vol. 39(11), pages 7389-7398.
    15. Zhou, Nan & Levine, Mark D. & Price, Lynn, 2010. "Overview of current energy-efficiency policies in China," Energy Policy, Elsevier, vol. 38(11), pages 6439-6452, November.
    16. Clune, Stephen & Morrissey, John & Moore, Trivess, 2012. "Size matters: House size and thermal efficiency as policy strategies to reduce net emissions of new developments," Energy Policy, Elsevier, vol. 48(C), pages 657-667.
    17. Hong, Tianzhen & Piette, Mary Ann & Chen, Yixing & Lee, Sang Hoon & Taylor-Lange, Sarah C. & Zhang, Rongpeng & Sun, Kaiyu & Price, Phillip, 2015. "Commercial Building Energy Saver: An energy retrofit analysis toolkit," Applied Energy, Elsevier, vol. 159(C), pages 298-309.
    18. Robert Tibshirani & Guenther Walther & Trevor Hastie, 2001. "Estimating the number of clusters in a data set via the gap statistic," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 411-423.
    19. Li, Zhengwei & Han, Yanmin & Xu, Peng, 2014. "Methods for benchmarking building energy consumption against its past or intended performance: An overview," Applied Energy, Elsevier, vol. 124(C), pages 325-334.
    20. Friege, Jonas & Chappin, Emile, 2014. "Modelling decisions on energy-efficient renovations: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 196-208.
    21. Wu, Raphael & Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2017. "Multiobjective optimisation of energy systems and building envelope retrofit in a residential community," Applied Energy, Elsevier, vol. 190(C), pages 634-649.
    22. Droutsa, Kalliopi G. & Kontoyiannidis, Simon & Dascalaki, Elena G. & Balaras, Constantinos A., 2016. "Mapping the energy performance of hellenic residential buildings from EPC (energy performance certificate) data," Energy, Elsevier, vol. 98(C), pages 284-295.
    23. Koo, Choongwan & Hong, Taehoon, 2015. "Development of a dynamic operational rating system in energy performance certificates for existing buildings: Geostatistical approach and data-mining technique," Applied Energy, Elsevier, vol. 154(C), pages 254-270.
    24. Jakob, Martin, 2006. "Marginal costs and co-benefits of energy efficiency investments: The case of the Swiss residential sector," Energy Policy, Elsevier, vol. 34(2), pages 172-187, January.
    25. Ascione, Fabrizio & Bianco, Nicola & De Stasio, Claudio & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2017. "Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach," Energy, Elsevier, vol. 118(C), pages 999-1017.
    26. Koo, Choongwan & Hong, Taehoon & Lee, Minhyun & Seon Park, Hyo, 2014. "Development of a new energy efficiency rating system for existing residential buildings," Energy Policy, Elsevier, vol. 68(C), pages 218-231.
    27. Dall’O’, Giuliano & Sarto, Luca & Sanna, Nicola & Tonetti, Valeria & Ventura, Martina, 2015. "On the use of an energy certification database to create indicators for energy planning purposes: Application in northern Italy," Energy Policy, Elsevier, vol. 85(C), pages 207-217.
    28. Majcen, D. & Itard, L.C.M. & Visscher, H., 2013. "Theoretical vs. actual energy consumption of labelled dwellings in the Netherlands: Discrepancies and policy implications," Energy Policy, Elsevier, vol. 54(C), pages 125-136.
    29. Mathew, Paul A. & Dunn, Laurel N. & Sohn, Michael D. & Mercado, Andrea & Custudio, Claudine & Walter, Travis, 2015. "Big-data for building energy performance: Lessons from assembling a very large national database of building energy use," Applied Energy, Elsevier, vol. 140(C), pages 85-93.
    30. Amecke, Hermann, 2012. "The impact of energy performance certificates: A survey of German home owners," Energy Policy, Elsevier, vol. 46(C), pages 4-14.
    31. Ekins, Paul & Lees, Eoin, 2008. "The impact of EU policies on energy use in and the evolution of the UK built environment," Energy Policy, Elsevier, vol. 36(12), pages 4580-4583, December.
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