Abstract
Energy policy making is a complex, multidisciplinary process that usually requires the assessment of a large number of factors. Consequently, Multiple Criteria Decision Making, which is a sub-discipline of Operational Research, has long been employed as an approach to addressing problems of this domain. This paper aims to explore how the preference disaggregation-aggregation paradigm, which infers a preference model from given global preferences on a set of reference alternatives, can support decision making in energy policy design and implementation. In this direction, a detailed literature review of multicriteria analysis applications in this domain is conducted, in which a knowledge gap regarding preference disaggregation approaches can be observed. The UTASTAR model is, then, described in detail and implemented in an energy policy application regarding the potential development of clean electricity projects through the cooperation between European Union member states and 22 neighbouring countries with which the Union has already established ties towards economic and energy market integration. The results of the study show that European countries outside the Union feature better potential for hosting clean energy projects compared to Middle East and North African countries; finally, the analysis suggests that UTASTAR can also provide concrete insight into the criteria weighting dynamics, as inferred by the global preferences of the decision makers.
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References
Akash, B. A., Mamlook, R., & Mohsen, M. S. (1999). Multi-criteria selection of electric power plants using analytical hierarchy process. Electric Power Systems Research, 52(1), 29–35.
Androulaki, S., & Psarras, J. (2016). Multicriteria decision support to evaluate potential long-term natural gas supply alternatives: The case of Greece. European Journal of Operational Research, 253(3), 791–810.
Avgelis, A., & Papadopoulos, A. M. (2009). Application of multicriteria analysis in designing HVAC systems. Energy and Buildings, 41(7), 774–780.
Awasthi, A., Chauhan, S. S., & Goyal, S. K. (2010). A fuzzy multicriteria approach for evaluating environmental performance of suppliers. International Journal of Production Economics, 126(2), 370–378.
Banias, G., Achillas, C., Vlachokostas, C., Moussiopoulos, N., & Tarsenis, S. (2010). Assessing multiple criteria for the optimal location of a construction and demolition waste management facility. Building and Environment, 45(10), 2317–2326.
Barin, A., Canha, L. N., Abaide, A. d. R., Magnag, K. F., & Wottrich, B. (2009). Multicriteria analysis of the operation of renewable energy sources taking as basis the AHP method and fuzzy logic concerning distributed generation systems. The Online Journal on Electronics and Electrical Engineering (OJEEE), 1, 1.
Beccali, M., Cellura, M., & Ardente, D. (1998). Decision making in energy planning: The ELECTRE multicriteria analysis approach compared to a FUZZY-SETS methodology. Energy Conversion and Management, 39(16–18), 1869–1881.
Beccali, M., Cellura, M., & Mistretta, M. (2003). Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology. Renewable Energy, 28(13), 2063–2087.
Beynon, M. J., & Wells, P. (2008). The lean improvement of the chemical emissions of motor vehicles based on preference ranking: A PROMETHEE uncertainty analysis. Omega, 36, 384–394.
Bloom, J. A. (1982). Long-range generation planning using decomposition and probabilistic simulation. IEEE Transactions on Power Apparatus and Systems, 101(4), 797–802.
Bojković, N., Anić, I., & Pejčić-Tarle, S. (2010). One solution for cross-country transport-sustainability evaluation using a modified ELECTRE method. Ecological Economics, 69(5), 1176–1186.
Cadier, D. (2013). Is the European Neighbourhood Policy a substitute for enlargement? (pp. 52–58). The Crisis of EU Enlargement.
Cavallaro, F. (2009). Multi-criteria decision aid to assess concentrated solar thermal technologies. Renewable Energy, 34, 1678–1685.
Cavallaro, F. (2010). A comparative assessment of thin-film photovoltaic production processes using the ELECTRE III method. Energy Policy, 38(1), 463–474.
Chu, T. C. (2002). Facility location selection using fuzzy TOPSIS under group decision. International Journal of Uncertainty. Fuzziness and Knowledge-Based Systems, 10(6), 687–701.
Cowan, K., Daim, T., & Anderson, T. (2010). Exploring the impact of technology development and adoption for sustainable hydroelectric power and storage technologies in the Pacific Northwest United States. Energy, 35(12), 4771–4779.
Devaud, J. M., Groussaud, G., & Jacquet-Lagreze, E. (1980). UTADIS: Une méthode de construction de fonctions d’utilité additives rendant compte de jugements globaux. European Working Group on Multicriteria Decision Aid, Bochum.
Diakoulaki, D., & Karangelis, F. (2007). Multi-criteria decision analysis and cost-benefit analysis of alternative scenarios for the power generation sector in Greece. Renewable and Sustainable Energy Reviews, 11(4), 716–727.
Diakoulaki, D., Georgiou, P., Tourkolias, C., Georgopoulou, E., Lalas, D., Mirasgedis, S., & Sarafidis, Y. (2007). A multicriteria approach to identify investment opportunities for the exploitation of the clean development mechanism. Energy Policy, 35(2), 1088–1099.
Diakoulaki, D., Zopounidis, C., Mavrotas, G., & Doumpos, M. (1999). The use of a preference disaggregation method in energy analysis and policy making. Energy, 24(2), 157–166.
Doukas, H. (2013). Modelling of linguistic variables in multicriteria energy policy support. European Journal of Operational Research, 227(2), 227–238.
Doukas, H., Karakosta, C., & Psarras, J. (2008). A linguistic TOPSIS model to evaluate the sustainability of renewable energy options. International Journal of Global Energy Issues, Special Issue “Energy Efficiency, Environmental Performance and Sustainability”, 32(1–2), 102–118.
Doukas, H., Karakosta, C., & Psarras, J. (2010). Computing with words to assess the sustainability of renewable energy options. Expert Systems with Applications, 37(7), 5491–5497.
Doukas, H., Patlitzianas, K. D., & Psarras, J. (2006). Supporting the sustainable electricity technologies in Greece using MCDM. Resources Policy, 31(2), 129–136.
Doukas, H., & Psarras, J. (2009). A linguistic decision support model towards the promotion of renewable energy. Energy Sources, Part B: Economics, Planning, and Policy, 4, 166–178.
Doukas, H., Tsiousi, A., Marinakis, V., & Psarras, J. (2014). Linguistic multi-criteria decision making for energy and environmental corporate policy. Information Sciences, 258, 328–338.
Drupp, M. A. (2011). Does the Gold Standard label hold its promise in delivering higher Sustainable Development benefits? A multi-criteria comparison of CDM projects. Energy Policy, 39(3), 1213–1227.
Elkarmi, F., & Mustafa, I. (1993). Increasing the utilization of solar energy technologies (SET) in Jordan: Analytic Hierarchy Process. Energy Policy, 21(9), 978–984.
Erdoğan, M., & Kaya, İ. (2016). A combined fuzzy approach to determine the best region for a nuclear power plant in Turkey. Applied Soft Computing, 39, 84–93.
Erol, I., Sencer, S., & Sari, R. (2011). A new fuzzy multi-criteria framework for measuring sustainability performance of a supply chain. Ecological Economics, 70(6), 1088–1100.
European Parliament. (2015, October). Energy community. Prospects and challenges. Briefing. European Parliament.
Flamos, A., Anagnostopoulos, K., Doukas, H., Goletsis, Y., & Psarras, J. (2004). Application of the IDEA-AM (Integrated Development and Environmental Additionality – Assessment Methodology) to compare 12 real projects from the Mediterranean region. Operational Research International Journal (ORIJ), 4(2), 119–145.
Fuss, S., Szolgayova, J., Obersteiner, M., & Gusti, M. (2008). Investment under market and climate policy uncertainty. Applied Energy, 85(8), 708–721.
Gao, D., Jin, Z., & Lu, Q. (2011). Energy management strategy based on fuzzy logic for a fuel cell hybrid bus. Power Sources, 185(1), 311–317.
Geldermann, J., Spengler, T., & Rentz, O. (2000). Fuzzy outranking for environmental assessment. Case study: Iron and steel making industry. Fuzzy Sets and Systems, 115, 45–65.
Georgiou, P., Tourkolias, C., & Diakoulaki, D. (2008). A roadmap for selecting host countries of wind energy projects in the framework of the clean development mechanism. Renewable and Sustainable Energy Reviews, 12(3), 712–731.
Georgopoulou, E., Sarafidis, Y., & Diakoulaki, D. (1998). Design and implementation of a group DSS for sustaining renewable energies exploitation. European Journal of Operational Research, 109, 483–500.
Gerdsri, N., & Kocaoglu, D. F. (2007). Applying the Analytic Hierarchy Process (AHP) to build a strategic framework for technology roadmapping. Mathematical and Computer Modelling, 46(7–8), 1071–1080.
Ghafghazi, S., Sowlati, T., Sokhansanj, S., & Melin, S. (2010). A multicriteria approach to evaluate district heating system options. Applied Energy, 87(4), 1134–1140.
Golabi, K., Kirkwood, C. W., & Sicherman, A. (1981). Selecting a portfolio of solar energy projects using multiattribute preference theory. Management Science, 27, 174–189.
Gomez-Lopez, M. D., Bayo, J., Garcia-Cascales, M. S., & Angosto, J. M. (2009). Decision support in disinfection technologies for treated wastewater reuse. Journal of Cleaner Production, 17, 1504–1511.
Goumas, M., & Lygerou, V. (2000). An extension of the PROMETHEE method for decision making in fuzzy environment: Ranking of alternative energy exploitation projects. European Journal of Operational Research, 123(3), 606–613.
Greening, L. A., & Bernow, S. (2004). Design of coordinated energy and environmental policies: Use of multi-criteria decision-making. Energy Policy, 32, 721–735.
Grigoroudis, E., Orfanoudaki, E., & Zopounidis, C. (2012). Strategic performance measurement in a healthcare organisation: A multiple criteria approach based on balanced scorecard. Omega, 40(1), 104–119.
Haider, H., Singh, P., Ali, W., Tesfamariam, S., & Sadiq, R. (2015). Sustainability evaluation of surface water quality management options in developing countries: multicriteria analysis using fuzzy UTASTAR method. Water Resources Management, 29(8), 2987–3013.
Haralambopoulos, D. A., & Polatidis, H. (2003). Renewable energy projects: Structuring a multi-criteria group decision-making framework. Renewable Energy, 28(6), 961–973.
Haurant, P., Oberti, P., & Muselli, M. (2011). Multicriteria selection aiding related to photovoltaic plants on farming fields on Corsica Island: A real case study using the ELECTRE outranking framework. Energy Policy, 39(2), 676–688.
Heo, E., Kim, J., & Boo, K. (2010). Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP. Renewable and Sustainable Energy Reviews, 14(8), 2214–2220.
International Energy Agency. (2014). Electricity and heat for 2014. International Energy Agency. Retrieved from http://www.iea.org/statistics/statisticssearch.
Jacquet-Lagrèze, E., & Siskos, J. (1982). Assessing a set of additive utility functions for multicriteria decision-making, the UTA method. European Journal of Operational Research, 10(2), 151–164.
Jiang, K., Zhang S., & Deng, Y. (2009). Feasibility analysis of sectoral approach in China’s Electricity Sector. Energy Research Institute, Beijing, China.
Jones, M., Hope, C., & Hughes, R. (1990). A multi-attribute value model for the study of UK energy policy. Journal of the Operational Research Society, 41(10), 919–929.
Kabak, M., & Dağdeviren, M. (2014). Prioritization of renewable energy sources for Turkey by using a hybrid MCDM methodology. Energy Conversion and Management, 79, 25–33.
Kahraman, C., & Kaya, I. (2010). A fuzzy multicriteria methodology for selection among energy alternatives. Expert Systems with Applications, 37, 6270–6281.
Kahraman, C., Kaya, I., & Cebi, S. (2009). A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process. Energy, 34(10), 1603–1616.
Kapepula, K. M., Colson, G., Sabri, K., & Thonart, T. (2007). A multiple criteria analysis for household solid waste management in the urban community of Dakar. Waste Management, 27(11), 1690–1705.
Karagiannidis, A., & Perkoulidis, G. (2009). A multi-criteria ranking of different technologies for the anaerobic digestion for energy recovery of the organic fraction of municipal solid wastes. Bioresource Technology, 100, 2355–2360.
Karakosta, C., Doukas, H., & Psarras, J. (2008). A decision support approach for the sustainable transfer of energy technologies under the Kyoto protocol. American Journal of Applied Sciences, 5(12), 1720–1729.
Kaya, T., & Kahraman, C. (2011a). An integrated fuzzy AHP-ELECTRE methodology for environmental impact assessment. Expert Systems with Applications, 38(7), 8553–8562.
Kaya, T., & Kahraman, C. (2011b). Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology. Expert Systems with Applications, 38(6), 6577–6585.
Khodabakhshi, B., & Jafari, H. R. (2010). Impact assessment of water resources development projects using the Electre_TRI model (A case study of Ardebil Reservoir, drainage, and irrigation network). Water and Wastewater, 3(75), 64–74.
Konidari, P., & Mavrakis, D. A. (2007). Multi-criteria evaluation method for climate change mitigation policy instruments. Energy Policy, 35, 6235–6257.
Lee, S. K., Mogi, G., & Kim, J. W. (2009). Decision support for prioritizing energy technologies against high oil prices: A fuzzy analytic hierarchy process approach. Journal of Loss Prevention in the Process Industries, 22(6), 915–920.
Lee, S. K., Mogi, G., Kim, J. W., & Gim, B. J. (2008). A fuzzy analytic hierarchy process approach for assessing national competitiveness in the hydrogen technology sector. International Journal of Hydrogen Energy, 33(23), 6840–6848.
Lee, S. K., Mogi, G., Lee, S. K., & Kim, J. W. (2011). Prioritizing the weights of hydrogen energy technologies in the sector of the hydrogen economy by using a fuzzy AHP approach. International Journal of Hydrogen Energy, 36(2), 1897–1902.
Lee, S. K., Yoon, Y. J., & Kim, J. W. (2007). A study on making a long-term improvement in the national energy efficiency and GHG control plans by the AHP approach. Energy Policy, 35(5), 2862–2868.
Linkov, I., Satterstrom, F. K., Kiker, G., Batchelor, C., Bridges, T., & Ferguson, E. (2006). From comparative risk assessment to multi-criteria decision analysis and adaptive management: Recent developments and applications. Environment International, 32(8), 1072–1093.
Liu, K. F. R., & Lai, J. (2009). Decision-support for environmental impact assessment: A hybrid approach using fuzzy logic and fuzzy analytic network process. Expert Systems with Applications, 36(3 Part 1), 5119–5136.
Loken, E., Botterud, A., & Holen, A. T. (2009). Use of the equivalent attribute technique in multi-criteria planning of local energy systems. European Journal of Operational Research, 197(3), 1075–1083.
Madlener, R., Antunes, C. H., & Dias, L. C. (2009). Assessing the performance of biogas plants with multi-criteria and data envelopment analysis. European Journal of Operational Research, 197(3), 1084–1094.
Madlener, R., Kowalski, K., & Stagl, S. (2007). New ways for the integrated appraisal of national energy scenarios: The case of renewable energy use in Austria. Energy Policy, 35(12), 6060–6074.
Manolitzas, P., Matsatsinis, N., & Grigoroudis, E. (2013). Reforming the hospitals in Greece: An integrated framework for improving the health care services in an Emergency Department (pp. 6–7). 6th Biennial Hellenic observatory Ph.D. Symposium on Contemporary Greece and Cyprus, London School of Economics (LSE), London.
Martin, J. M., Fajardo, W., Blanco, A., & Requena, I. (2003). Constructing linguistic versions for the multicriteria decision support systems preference ranking organization method for enrichment evaluation I and II. International Journal of Intelligent Systems, 18, 711–731.
McCarthy, R., Ogden, J. M., & Sperling, D. (2007). Assessing reliability in energy supply systems. Energy Policy, 35, 2151–2162.
McDaniels, T. L. (1996). A multiattribute index for evaluating environmental impacts of electric utilities. Journal of Environmental Management, 46, 57–66.
Michalik, G., Khan, M. E., Bonwick, W. J., & Mielczarski, W. (1997). Structural modelling of energy demand in the residential sector: 2. The use of linguistic variables to include uncertainty of customers’ behaviour. Energy, 22(10), 949–958.
Mirasgedis, S., & Diakoulaki, D. (1997). Multicriteria analysis vs. externalities assessment for the comparative evaluation of electricity generation systems. European Journal of Operational Research, 102(2), 364–379.
Montanari, R. (2004). Environmental efficiency analysis for ENEL thermal-power plants. Journal of Cleaner Production, 12, 403–414.
Mousavi, M., Gitinavard, H., & Mousavi, S. M. (2017). A soft computing based-modified ELECTRE model for renewable energy policy selection with unknown information. Renewable and Sustainable Energy Reviews, 68, 774–787.
Neves, L. P., Martins, A. G., Antunes, C. H., & Dias, L. C. (2008). A multi-criteria decision approach to sorting actions for promoting energy efficiency. Energy Policy, 36, 2351–2363.
Nikas, A., Doukas, H., & López, L. M. (2018). A group decision making tool for assessing climate policy risks against multiple criteria. Heliyon, 4(3), e00588.
Niu, D., Li, J., Li, J., & Liu, D. (2009). Middle-long power load forecasting based on particle swarm optimization. Computers & Mathematics with Applications, 57(11–12), 1883–1889.
Nixon, J. D., Dey, P. K., & Davies, P. A. (2010). Which is the best solar thermal collection technology for electricity generation in north-west India? Evaluation of options using the analytical hierarchy process. Energy, 35(12), 5230–5240.
Nussbaumer, P. (2009). On the contribution of labelled Certified Emission Reductions to sustainable development: A multi-criteria evaluation of CDM projects. Energy Policy, 37(1), 91–101.
OECD. (2016, October 28). Country risk classifications of the participants to the arrangement on officially supported export credits. OECD. Retrieved from http://www.oecd.org/trade/xcred/cre-crc-current-english.pdf.
Palma, J., Graves, A. R., Burgess, P. J., Werf, W., & Herzog, F. (2007). Integrating environmental and economic performance to assess modern silvoarable agroforestry in Europe. Ecological Economics, 63, 759–767.
Papadopoulos, A., & Karagiannidis, A. (2008). Application of the multi-criteria analysis method ELECTRE III for the optimisation of decentralised energy systems. Omega, 36(5), 766–776.
Papapostolou, A., Karakosta, C., Nikas, A., & Psarras, J. (2017). Exploring opportunities and risks for RES-E deployment under Cooperation Mechanisms between EU and Western Balkans: A multi-criteria assessment. Renewable and Sustainable Energy Reviews, 80, 519–530.
Papapostolou, A., Papapostolou, A., Karakosta, C., Karakosta, C., Marinakis, V., Marinakis, V., et al. (2016). Assessment of RES cooperation framework between the EU and North Africa: A multicriteria approach based on UTASTAR. International Journal of Energy Sector Management, 10(3), 402–426.
Patlitzianas, K. D., & Psarras, J. (2007). Formulating a modern energy companies’ environment in the EU accession member states through a decision support methodology. Energy Policy, 35(4), 2231–2238.
Perkoulidis, G., Papageorgiou, A., Karagiannidis, A., & Kalogirou, S. (2010). Integrated assessment of a new waste-to-energy facility in central Greece in the context of regional perspectives. Waste Management, 30, 1395–1406.
Pilavachi, P. A., Stilianos, D. S., Vasilios, A. P., & Afgan, N. H. (2009). Multi-criteria evaluation of hydrogen and natural gas fuelled power plant technologies. Applied Thermal Engineering, 29, 2228–2234.
Pohekar, S. D., & Ramachandran, M. (2004). Application of multi-criteria decision making to sustainable energy planning-A review. Renewable and Sustainable Energy Reviews, 8, 365–381.
Ren, H., Gao, W., Zhou, W., & Nakagami, W. (2009). Multi-criteria evaluation for the optimal adoption of distributed residential energy systems in Japan. Energy Policy, 37(12, 5484–5493.
Roulet, C. A. (2002). ORME: A multi-criteria rating methodology for buildings. Building and Environment, 37, 579–586.
Ruan, D., Lu, J., Laes, E., Zhang, G., Ma, J., & Meskens, G. (2010). Multi-criteria group decision support with linguistic variables in long-term scenarios for Belgian energy policy. Journal of Universal Computer Science, 15(1), 103–120.
Sadeghzadeh, K., & Salehi, M. B. (2011). Mathematical analysis of fuel cell strategic technologies development solutions in the automotive industry by the TOPSIS multi-criteria decision making method. International Journal of Hydrogen Energy, 36, 13272–13280.
Schroeder, M. (2009). Utilizing the clean development mechanism for the deployment of renewable energies in China. Applied Energy, 86(2), 237–242.
Shanian, A., & Savadogo, O. (2006). TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell. Journal of Power Sources, 159(2), 1095–1104.
SHDB. (2015). Social Hotspot Index by category and contributing themes. Social Hotspots Database.
Siskos, J. (1980). Comment modéliser les préférences au moyen de fonctions d’utilité auditives. Revue française d’automatique, d’informatique et de recherche opérationnelle. Recherche opérationnelle, 14(1), 53–82.
Siskos, Y., Grigoroudis, E., & Matsatsinis, N. F. (2005). UTA methods. In Multiple criteria decision analysis: State of the art surveys (pp. 297–334). New York: Springer.
Siskos, J., & Hubert, P. (1983). Multi-criteria analysis of the impacts of energy alternatives: A survey and a new comparative approach. European Journal of Operational Research, 13(3), 278–299.
Siskos, Y., & Yannacopoulos, D. (1985). UTASTAR: An ordinal regression method for building additive value functions. Investigaçao Operacional, 5(1), 39–53.
The World Bank. (2013a). Electric power transmission and distribution losses (% of output). The World Bank. Retrieved from http://data.worldbank.org/indicator/EG.ELC.LOSS.ZS.
The World Bank. (2013b). World Development Indicators: Energy production and use. The World Bank. Retrieved from http://wdi.worldbank.org/table/3.6.
The World Bank. (2016). Ease of doing business index. The World Bank. Retrieved from http://data.worldbank.org/indicator/IC.BUS.EASE.XQ.
Theodorou, S., Florides, G., & Tassou, S. (2010). The use of multiple criteria decision making methodologies for the promotion of RES through funding schemes in Cyprus. Energy Policy, 38(12), 7783–7792.
Tuzkaya, G., Ozgen, A., Ozgen, D., & Tuzkaya, U. R. (2009). Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach. International Journal of Environmental Science and Technology, 6(3), 477–490.
Tzeng, G., Lin, C., & Opricovic, S. (2005). Multi-criteria analysis of alternative-fuel buses for public transportation. Energy Policy, 33(11), 1373–1383.
Vahdani, B., Zandieh, M., & Tavakkoli-Moghaddam, R. (2001). Two novel FMCDM methods for alternative-fuel buses selection. Applied Mathematical Modelling, 35(3), 1396–1412.
Van den Bergh, J. C., Ferrer-i-Carbonell, A., & Munda, G. (2000). Alternative models of individual behaviour and implications for environmental policy. Ecological Economics, 32(1), 43–61.
Voropai, N. I., & Ivanova, E. Y. (2002). Multi-criteria decision analysis techniques in electric power system expansion planning. International Journal of Electrical Power & Energy Systems, 24(1), 71–78.
Wang, J., Jing, Y., & Zhao, J. (2009). Multi criteria evaluation model of renewable energy power plants based on ELECTRE method (pp. 467–473). ASME 2009 3rd International Conference on Energy Sustainability collocated with the Heat Transfer and InterPACK09 Conferences (ES2009), ES2009-90104.
Wen, Z., Yu, Y., & Yan, J. (2016). Best available techniques assessment for coal gasification to promote cleaner production based on the ELECTRE-II method. Journal of Cleaner Production, 129, 12–22.
Wong, J. K. W., & Li, H. (2008). Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems. Building and Environment, 43(1), 108–125.
World Economic Forum. (2013). Global Competitiveness Report 2013–2014 full data edition. Retrieved from http://www3.weforum.org/docs/WEF_GlobalCompetitivenessReport_2013-14.pdf.
World Energy Outlook. (2014). WEO methodology for energy access analysis. Retrieved from http://www.worldenergyoutlook.org/media/weowebsite/EnergyAccess_Methodology_2014.pdf.
Xu, P., Chan, E. H., Visscher, H. J., Zhang, X., & Wu, Z. (2015). Sustainable building energy efficiency retrofit for hotel buildings using EPC mechanism in China: Analytic Network Process (ANP) approach. Journal of Cleaner Production, 107, 378–388.
Yan, H. B., Ma, T., Nakamori, Y., & Huynh, V. N. (2011). Computing with words based approach to multicriteria energy planning, integrated uncertainty in knowledge modelling and decision making. Lecture Notes in Computer Science, 7027, 48–59.
Yedla, S., & Shrestha, R. M. (2003). Multi-criteria approach for the selection of alternative options for delhi transport system. Transport Research, Part A: Policy and Practice, USA, 37(8), 717–729.
Yi, S., Sin, H., & Heo, E. (2011). Selecting sustainable renewable energy source for energy assistance to North Korea. Renewable and Sustainable Energy Reviews, 15(1), 554–563.
Zhang, K., Kluck, C., & Achari, G. (2009). A comparative approach for ranking contaminated sites based on the risk assessment paradigm using fuzzy PROMETHEE. Environmental Management, 44, 952–967.
Zongxin, W., & Zhihong, W. (1997). Mitigation assessment results and priorities for China’s energy sector. Applied Energy, 56(3–4), 237–251.
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Nikas, A., Doukas, H., Siskos, E., Psarras, J. (2018). International Cooperation for Clean Electricity: A UTASTAR Application in Energy Policy. In: Matsatsinis, N., Grigoroudis, E. (eds) Preference Disaggregation in Multiple Criteria Decision Analysis. Multiple Criteria Decision Making. Springer, Cham. https://doi.org/10.1007/978-3-319-90599-0_8
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