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An ex post criticism, based on stakeholders’ preferences, of a residential sector’s energy master plan: the case study of the Sicilian region

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Abstract

Energy master plans are important tools for an effective and sustainable land governance. On the other hand, the stakeholder role in setting priorities for planning energy interventions is dramatically increasing, also in the light of recently issued European directives. The priorities of energy-saving measures of the Sicilian energy and environmental master plan were originally established with the application of typical economic indicators (the cost of saved energy and the cost of avoided pollutant emissions). During the prioritization process, there was a minor contribution from stakeholders who were not directly involved in the priority-setting process but were only asked to express their opinions according to the in-force regulations. Based on more active stakeholder involvement in hierarchizing a given set of actions, as required by the recently issued directives, the University of Palermo, which participated in the development of this master plan, assessed an ex post evaluation of these established economy-based priorities, by means of the application of a multi-criteria decision analysis (MCDA) tool. The resulting changed priorities, which lead to a better policy allocation of the regional budget for energy efficiency in the building sector, confirm the preeminent role played by the stakeholders in the development of energy plans, further supported by a sensitivity analysis.

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References

  • Ananda, J., & Herath, G. (2009). A critical review of multi-criteria decision making methods with special reference to forest management and planning. Ecological Economics, 68, 2535–2548.

    Article  Google Scholar 

  • Assefa, G., Glaumann, M., Malmqvist, T., Kindembe, B., Hult, M., Myhr, U., & Eriksson, O. (2007). Environmental assessment of building properties—where natural and social sciences meet: the case of EcoEffect. Building and Environment, 42(3), 458–1464.

    Article  Google Scholar 

  • Berardi, U. (2013). Stakeholders’ influence on the adoption of energy-saving technologies in Italian homes. Energy Policy, 60, 520–530.

    Article  Google Scholar 

  • Berggren, B., Hall, M., & Wall, M. (2013). LCE analysis of buildings—taking the step towards Net Zero Energy Buildings. Energy and Buildings, 62, 381–391.

    Article  Google Scholar 

  • Berry, S., Davidson, K., & Saman, W. (2014). Defining zero carbon and zero energy homes from a performance-based regulatory perspective. Energy Efficiency, 7, 303–322. doi:10.1007/s12053-013-9225-7.

    Article  Google Scholar 

  • Blum, H., Atkinson, B., & Lekov, A. B. (2013). A methodological framework for comparative assessments of equipment energy efficiency policy measures. Energy Efficiency, 6, 65–90. doi:10.1007/s12053-012-9162-x.

    Article  Google Scholar 

  • BPIE. (2011). Europe’s buildings under the microscope. A country-by-country review of the energy performance of buildings. Published in October 2011 by Buildings Performance Institute Europe (BPIE), Copyright 2011, Buildings Performance Institute Europe (BPIE). ISBN: 9789491143014, Brussels. Available from (February 2014): http://www.institutebe.com/InstituteBE/media/Library/Resources/.

  • Chen, M., & Wang, S. (2010). The use of a hybrid fuzzy-Delphi-AHP approach to develop global business intelligence for information service firms. Expert Systems with Applications, 37(11), 7394–7407.

    Article  Google Scholar 

  • Dall’O’, G., Galante, A., & Pasetti, G. (2012). A methodology for evaluating the potential energy savings of retrofitting residential building stocks. Sustainable Cities and Society, 4, 12–21.

    Article  Google Scholar 

  • Løken, E. (2007). Use of multicriteria decision analysis methods for energy planning problems: use of multicriteria decision analysis methods for energy planning problems. Renewable and Sustainable Energy Reviews, 11(7), 1584–1595.

    Article  Google Scholar 

  • European Commission (2001). Directive 2001/42/EC of the European Parliament and of the Council of 27 June 2001 on the assessment of the effects of certain plans and programmes on the environment.

  • European Commission. (2006). Council Decision of 6 October 2006 on Community strategic guidelines on cohesion (2006/702/EC). Official Journal of the European Union L 291/11.

  • European Parliament. (2008). European Parliament legislative resolution of 17 December 2008 on the proposal for a directive of the European Parliament and of the Council on the promotion of the use of energy from renewable sources (COM(2008)0019 – C6-0046/2008 – 2008/0016(COD)).

  • European Parliament and Council. (2012). Directive 2012/27/EU of the European Parliament and of the Council of 25 October 2012 on energy efficiency, amending directives 2009/125/EC and 2010/30/EU and repealing directives 2004/8/EC and 2006/32/EC. Official Journal of the European Union L 315/1, 14.11.2012.

  • European Union. (2002). Directive 2002/91/EC of The European Parliament and of The Council of 16 December 2002 on the energy performance of buildings.

  • European Union. (2010). Directive 2010/31/EU of the European Parliament and of the Council of 19 May 2010 on the energy performance of buildings (recast). Official Journal of the European Union L 153/13, 18.6.2010. Official Journal of the European Communities 21.7.2001.

  • Eurostat. (2010). Housing Statistics, European Commission

  • Eurostat. (2013). Available from (February 2014): http://epp.eurostat.ec.europa.eu/statistics_explained/

  • Fahrul Hassan, M., Zameri Mat Saman, M., Sharif, S., & Omar, B. (2012). An integrated MA-AHP approach for selecting the highest sustainability index of a new product. Procedia - Social and Behavioral Sciences, 57, 236–242.

    Article  Google Scholar 

  • Filogamo, L., Peri, G., Rizzo, G., & Giaccone, A. (2014). On the classification of large residential buildings stocks by sample typologies for energy planning purposes. Applied Energy, 135, 825–835.

    Article  Google Scholar 

  • GhaffarianHoseini, A., Dahlan, N., Berardi, U., GhaffarianHoseini, A., & Makaremi, N. (2013). Sustainable energy performances of green buildings: a review of current theories, implementations and challenges. Renewable & Sustainable Energy Reviews, 25, 1–17.

    Article  Google Scholar 

  • Grafakos, S., Flamos, A., Oikonomou, V., & Zevgolis, D. (2010). Multi-criteria analysis weighting methodology to incorporate stakeholders’ preferences in energy and climate policy interactions. International Journal of Energy Sector Management, 4(3), 434–461.

    Article  Google Scholar 

  • Haydt, G., Leal, V., & Dias, L. (2015). A multi-objective approach for developing national energy efficiency plans. Energy Policy, 67, 16–27.

    Article  Google Scholar 

  • Huang, Z., Yuan, H., & Shen, L. (2012). Contribution of promoting the green residence assessment scheme to energy saving. Energy Policy, 51, 374–381.

    Article  Google Scholar 

  • Ibn-Mohammed, T., Greenough, R., Taylor, S., Ozawa-Meida, L., & Acquaye, A. (2014). Integrating economic considerations with operational and embodied emissions into a decision support system for the optimal ranking of building retrofit options. Building and Environment, 72, 82–101.

    Article  Google Scholar 

  • IPCC. (1997). Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories, IPCC/OECD/IEA, Paris, 1997.

  • IPCC. (2007). Summary for policy makers, climate change, IPCC WG1 Fourth Assessment Report. New York: Cambridge University Press.

    Google Scholar 

  • Italian Law 412, of 1993, August. Legge 26 agosto 1993, n. 412, articolo 1, Norme per la progettazione, l’installazione, l’esercizio e la manutenzione degli impianti termici degli edifici ai fini del contenimento dei consumi di energia, (in Italian).

  • Italian Law n. 24, of 2001. Decreto del Ministero dell’Industria, del Commercio e dell’Artigianato. GU n. 117 del 22-5-2001- Suppl. Ordinario n.125 (in Italian).

  • Italian law n. 192, of 2005, August. Decreto Legislativo 19 agosto 2005, n. 192. “Attuazione della direttiva 2002/91/CE relativa al rendimento energetico nell’edilizia” pubblicato nella Gazzetta Ufficiale n. 222 del 23 settembre 2005 - Supplemento Ordinario n. 158 (in Italian).

  • Italian law n. 152, of 2006, April. Decreto Legislativo 3 aprile 2006, n. 152. Norme in materia ambientale. (GU n.88 del 14-4-2006 - Suppl. Ordinario n. 96 (in Italian).

  • Italian Decree Law n. 63, of 2013. Disposizioni urgenti per il recepimento della Direttiva 2010/31/UE del Parlamento europeo e del Consiglio del 19 maggio 2010, sulla prestazione energetica nell’edilizia per la definizione delle procedure d’infrazione avviate dalla Commissione europea, nonché’ altre disposizioni in materia di coesione sociale. Gazzetta Ufficiale n. 130 del 05.06.2013 (in Italian).

  • Kim, M., Jang, Y. C., & Lee, S. (2013). Application of Delphi-AHP methods to select the priorities of WEEE for recycling in a waste management decision-making tool. Journal of Environmental Management, 28, 941–948.

    Article  Google Scholar 

  • Lafreniere, K. C., Deshpande, S., Bjornlund, H., & Gordon Hunter, M. (2013). Extending stakeholder theory to promote resource management initiatives to key stakeholders: a case study of water transfers in Alberta, Canada. Journal of Environmental Management, 129, 81–91.

    Article  Google Scholar 

  • Li, D. Z., Chen, H. X., Hui, E. C. M., Zhang, J. B., & Li, Q. M. (2013). A methodology for estimating the life-cycle carbon efficiency of a residential building. Building and Environment, 59, 448–455.

    Article  Google Scholar 

  • Liddle, B. (2012). (2012). OECD energy intensity measures, trends, and convergence. Energy Efficiency, 5, 583–597. doi:10.1007/s12053-012-9148-8.

    Article  Google Scholar 

  • McGraw Hill Construction. (2012). Construction industry workforce shortage: role of certification, training and green jobs in filling the gaps—Smart Market Report. McGraw Hill Construction, Bedford, MA. Available from (February 2014): http://www.gbcsa.org.za/wp-content/uploads/2013/06.

  • McKenna, R., Merkel, E., Fehrenbach, D., Mehne, S., & Fichtner, W. (2013). Energy efficiency in the German residential sector: a bottom-up building-stock-model-based analysis in the context of energy-political targets. Building and Environment, 62, 77–88.

    Article  Google Scholar 

  • Morrissey, J., Meyrick, B., Sivaraman, D., Horne, R. E., & Berry, M. (2013). Cost-benefit assessment of energy efficiency investments: accounting for future resources, savings and risks in the Australian residential sector. Energy Policy, 54, 148–159.

    Article  Google Scholar 

  • Nijkamp, P., Rietveldm, P., & Voogd, H. (1990). Multicriteria evaluation in physical planning. Amsterdam: Elsevier.

    Google Scholar 

  • Peri, G., & Rizzo, G. (2012). The overall classification of residential buildings: possible role of tourist EU Ecolabel award scheme. Building and Environment, 56, 151–161.

    Article  Google Scholar 

  • Pulselli, R. M., Simoncini, E., & Marchettini, N. (2009). Energy and energy based cost-benefit evaluation of building envelopes relative to geographical location and climate. Building and Environment, 44, 920–928.

    Article  Google Scholar 

  • Regione Siciliana. (2006). Piano Energetico Ambientale Regionale della Regione Siciliana (PEARS), VAS (Dir. 42/2001/CE). (in Italian). Available from (February 2014): http://pti.regione.sicilia.it/.

  • Rosenow, J. (2013). The politics of the German CO2-Building Rehabilitation Programme. Energy Efficiency, 6, 219–238. doi:10.1007/s12053-012-9181-7.

    Article  Google Scholar 

  • Ruá, M. J., & Guadalajara, N. (2014). Estimating a threshold price for CO2 emissions of buildings to improve their energy performance level: case study of a new Spanish home. Energy Efficiency. doi:10.1007/s12053-014-9286-2.

    Google Scholar 

  • Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.

    MATH  Google Scholar 

  • Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. The European journal of operational research, 48, 9–26.

    Article  MATH  Google Scholar 

  • Schlomann, B., Rohde, C., & Plötz, P. (2014). Dimensions of energy efficiency in a political context. Energy Efficiency. doi:10.1007/s12053-014-9280-8.

    Google Scholar 

  • Shen, L., Muduli, K., & Barve, A. (2013). Developing a sustainable development framework in the context of mining industries: AHP approach. Resources Policy. doi:10.1016/j.resourpol.2013.10.006i.

    Google Scholar 

  • Thomas, S., Boonekamp, P., Vreuls, H., Broc, J.-S., Bosseboeuf, D., Lapillonne, B., & Labance, N. (2012). How to measure the overall energy savings linked to policies and energy services at the national level? Energy Efficiency, 5, 19–35.

    Article  Google Scholar 

  • Turcksin, L., Bernardini, A., & Macharis, C. (2011). A combined AHP-PROMETHEE approach for selecting the most appropriate policy scenario to stimulate a clean vehicle fleet. Procedia - Social and Behavioral Sciences, 20, 954–965.

    Article  Google Scholar 

  • United Nations. (1998). Kyoto Protocol to the United Nations framework convention on climate. Available from: http://unfccc.int/resource/docs/convkp/kpeng.pdf (February 2014).

  • Vine, E., Sullivan, M., Lutzenhiser, L., Blumstein, C., & Miller, B. (2014). Experimentation and the evaluation of energy efficiency programs. Energy Efficiency, 7, 627–640. doi:10.1007/s12053-013-9244-4.

    Article  Google Scholar 

  • Weitzman, M. L. (1994). On the “environmental” discount rate. Journal of Environ- Mental Economics and Management, 26, 200–209.

    Article  MATH  Google Scholar 

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Correspondence to Giorgia Peri.

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Giaccone, A., Lascari, G., Peri, G. et al. An ex post criticism, based on stakeholders’ preferences, of a residential sector’s energy master plan: the case study of the Sicilian region. Energy Efficiency 10, 129–149 (2017). https://doi.org/10.1007/s12053-016-9444-9

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