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Prioritization of Energy Retrofit Strategies in Public Housing: An AHP Model

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New Metropolitan Perspectives (ISHT 2018)

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Abstract

The design and implementation of buildings energy retrofit strategies is a complex process involving a great number of decision variables and actors, especially when public housing is concerned. This complexity is exacerbated by stringent public budget constraints and lack of financial resources that make public housing energy retrofit currently a critical issue in Italy. In this context, multiple objectives related to energy saving, thermal comfort and conservation compatibility need to be pursued and multiple criteria approaches provide a proper theoretical and methodological framework to address economic, technical, social and environmental issues that characterize investments in energy saving and retrofit strategies.

In this paper, we analyze different energy efficiency measures to be implemented in public housing and we propose an AHP (relative) model for multi-criteria prioritization of energy-retrofit strategies on public-housing existing stock.

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Notes

  1. 1.

    Costs related e.g. to shutting of parts of the building/residential unit, decanting residents to other location, annoyance to the general public and occupants of neighboring property.

References

  1. Lucon O., Ürge-Vorsatz, D., Zain Ahmed, A., Akbari, H., Bertoldi, P., Cabeza, L. F., Eyre, N., Gadgil, A., Harvey, L. D.D., Jiang, Y., Liphoto, E., Mirasgedis, S., Murakami, S., Parikh, J., Pyke, C., Vilariño, M.V.: Buildings. In: Edenhofer, O., Pichs-Madruga, R., Sokona, Y., Farahani, E., Kadner, S., Seyboth, K., Adler, A., Baum, I., Brunner, S., Eickemeier, P., Kriemann, B., Savolainen, J., Schlömer, S., von Stechow, C., Zwickel, T., Minx, J.C. (eds.): Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United Kingdom (2014)

    Google Scholar 

  2. UNEP: Why Buildings? Buildings Day at COP21, 3 December 2015, Paris, France (2015). Accessed 30 Nov 2017. http://web.unep.org/climatechange/cop21?page=7

  3. Beccali, M., Ciulla, G., Lo Brano, V., Galatioto, A., Bonomolo, M.: Artificial neural network decision support tool for assessment of the energy performance and the refurbishment actions for the non-residential building stock in Southern Italy. Energy 137, 1201–1218 (2017)

    Article  Google Scholar 

  4. Fraunhofer ISI, How energy efficiency cuts costs for a 2-degree future, Fraunhofer Institute for Systems and Innovation Research ISI, Karlsruhe, Germany (2015). Accessed 30 Nov 2017. http://www.isi.fraunhofer.de/isi-en/service/presseinfos/2015/press-release-34-2015-energy-efficiency-two-degree-target.php

  5. Machairas, V., Tsangrassoulis, A., Axarli, K.: Algorithms for optimization of building design: a review. Renew. Sustain. Energy Rev. 31, 101–112 (2014)

    Article  Google Scholar 

  6. Si, J., Marjanovic-Halburda, L., Nasirib, F., Bell, S.: Assessment of building-integrated green technologies: a review and case study on applications of Multi-Criteria Decision Making (MCDM) method. Sustainable Cities and Society 27, 106–115 (2016)

    Article  Google Scholar 

  7. Visscher, H., Sartori, I., Dascalaki, E.: Towards an energy efficient European housing stock: monitoring, mapping and modelling retrofitting processes. Energy Build. 79, 1–3 (2016)

    Article  Google Scholar 

  8. Becchio, C., Corgnati, S.P., Delmastro, C., Fabi, V., Lombradi, P.: The role of nearly-zero energy buildings in the transition towards post-carbon cities. Sustain. Cities Soc. 27, 324–337 (2016)

    Article  Google Scholar 

  9. ISTAT. 15° Censimento della popolazione e delle abitazioni. Accessed 12 Jan 2011. http://www.istat.it/it/censimento-popolazione/censimento-popolazione-2011

  10. Diakaki, C., Grigoroudis, E., Kolokotsa, D.: Performance study of a multi-objective mathematical programming modelling approach for energy decision-making in buildings. Energy 59, 534–542 (2013)

    Article  Google Scholar 

  11. Lizana, J., Barrios-Padura, A., Molina-Huelvab, M., Chacartegui, R.: Multi-criteria assessment for the effective decision management in residential energy retrofitting. Energy Build. 129, 284–307 (2016)

    Article  Google Scholar 

  12. Marinakis, V., Doukas, H., Xidonas, P., Zopounidis, C.: Multicriteria decision support in local energy planning: An evaluation of alternative scenarios for the sustainable energy action plan. Omega 69, 1–16 (2017)

    Article  Google Scholar 

  13. Ma, Z., Cooper, P., Daly, D., Ledo, L.: Existing building retrofits: methodology and state-of-the-art. Energy Build. 55, 889–902 (2012)

    Article  Google Scholar 

  14. Harvey, L.D.: Recent advances in sustainable buildings: review of the energy and cost performance of the state-of-the-art best practices from around the world. Annu. Rev. Environ. Resour. 38, 281–309 (2013)

    Article  Google Scholar 

  15. Corrado, V., Ballarini, I., Paduos, S.: Assessment of cost-optimal energy performance requirements for the Italian residential building stock. Energy Procedia 45, 443–452 (2014)

    Article  Google Scholar 

  16. Tan, B., Yavuz, Y., Otay, E.N., Çamlıbel, E.: Optimal selection of energy efficiency measures for energy sustainability of existing buildings. Comput. Oper. Res. 66, 258–271 (2016)

    Article  Google Scholar 

  17. Gianfrate, V., Piccardo, C., Longo, D., Giachetta, A.: Rethinking social housing: Behavioural patterns and technological innovations. Sustain. Cities Soc. 33, 102–112 (2017)

    Article  Google Scholar 

  18. Antoniucci, V., D’Alpaos, C., Marella, G.: Energy saving in tall buildings: from urban planning regulation to smart grid building solutions. Int. J. Hous. Sci. Appl. 39(2), 101–110 (2015)

    Google Scholar 

  19. Dawood, S., Crosbie, T., Dawood, N., Lord, R.: Designing low carbon buildings: a framework to reduce energy consumption and embed the use of renewables. Sustain. Cities Soc. 8, 63–71 (2013)

    Article  Google Scholar 

  20. Re Cecconi, F., Tagliabue, L.C., Maltese, S., Zuccaro, M.: A multi-criteria framework for decision process in retrofit optioneering through interactive data flow. Procedia Eng. 180, 859–869 (2017)

    Article  Google Scholar 

  21. D’Alpaos, C.: Methodological Approaches to the Valuation of Investments in Biogas Production Plants: Incentives vs. Market Prices in Italy. Valori e Valutazioni 19, 53–64 (2017)

    Google Scholar 

  22. Saaty, T.: The analytic hierarchy process: planning, priority setting, resource allocation. McGraw-Hill, New York (1980)

    MATH  Google Scholar 

  23. De Felice, F., Petrillo, A.: Absolute measurement with analytic hierarchy process: a case study for Italian racecourse. Int. J. Appl. Decis. Sci. 6(3), 209–227 (2013)

    Google Scholar 

  24. Ferreira, F.A., Santos, S.P., Dias, V.M.: An AHP-based approach to credit risk evaluation of mortgage loans. Int. J. Strateg. Prop. Manag. 18(1), 38–55 (2014)

    Article  Google Scholar 

  25. Grafakos, S., Flamos, A., Enseñado, E.M.: Preferences matter: A constructive approach to incorporating local stakeholders’ preferences in the sustainability evaluation of energy technologies. Sustainability 7(8), 10922–10960 (2015)

    Article  Google Scholar 

  26. Garbuzova-Schliftern, M., Madlener, R.: AHP-based risk analysis of energy performance contracting projects in Russia. Energy Policy 97, 559–581 (2016)

    Article  Google Scholar 

  27. Banzato, D., Canesi, R., D’Alpaos, C.: Biogas and biomethane technologies: an AHP model to support the policy maker in incentive design in Italy. In: Bisello, A., Vettorato, D., Laconte, P., Costa, S. (eds.) Smart and Sustainable Planning for Cities and Regions. SSPCR 2017. Green Energy and Technology, pp. 319–331 (2018). https://doi.org/10.1007/978-3-319-75774-2_22. ISBN 9783319757735

  28. Saaty, T.L.: Fundamentals of decision making and priority theory with the analytic hierarchy process. RWS Publications, Pittsburgh (2000)

    Google Scholar 

  29. Saaty, T.L., Peniwati, K.: Group Decision Making Drawing Out and Reconciling Differences. RWS Publications, Pittsburgh (2012)

    Google Scholar 

  30. Ciulla, G., Lo Brano, V., D’Amico, A.: Modelling relationship among energy demand, climate and office building features: a cluster analysis at European level. Appl. Energy 183, 1021–1034 (2016)

    Article  Google Scholar 

  31. Peniwati, K.: Criteria for evaluating group decision-making methods. Int. Ser. Oper. Res. Manag. Sci. 95, 251–273 (2006)

    MATH  Google Scholar 

  32. Senge, P.M.: The Fifth Discipline: The Art & Practice of the Learning Organization. Currency Doubleday New York (2006)

    Google Scholar 

  33. D’Alpaos, C.: The value of flexibility to switch between water supply sources. Appl. Math. Sci. 6(125–128), 6381–6401 (2012)

    MATH  Google Scholar 

  34. Bertolini, M., D’Alpaos, C., Moretto, M.: Do smart grids boost investments in domestic PV plants? evidence from the Italian electricity market. Energy 149, 890–902 (2018)

    Article  Google Scholar 

  35. Xu, Z.: On consistency of the weighted geometric mean complex judgement matrix in AHP. Eur. J. Oper. Res. 126(3), 683–687 (2000)

    Article  MathSciNet  Google Scholar 

  36. Grošelj, P., Zadnik Stirn, L.: Acceptable consistency of aggregated comparison matrices in analytic hierarchy process. Eur. J. Oper. Res. 223(2), 417–4201 (2012)

    Article  MathSciNet  Google Scholar 

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Correspondence to Paolo Bragolusi .

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D’Alpaos, C., Bragolusi, P. (2019). Prioritization of Energy Retrofit Strategies in Public Housing: An AHP Model. In: Calabrò, F., Della Spina, L., Bevilacqua, C. (eds) New Metropolitan Perspectives. ISHT 2018. Smart Innovation, Systems and Technologies, vol 101. Springer, Cham. https://doi.org/10.1007/978-3-319-92102-0_56

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