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Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: A new hierarchical framework

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  • Mardani, Abbas
  • Zavadskas, Edmundas Kazimieras
  • Streimikiene, Dalia
  • Jusoh, Ahmad
  • Nor, Khalil M.D.
  • Khoshnoudi, Masoumeh

Abstract

The purpose of this study is to present a hierarchical framework for evaluating and ranking the important key energy-saving technologies and solutions in the 10 biggest Iranian hotels through integrating fuzzy set theory, as well as qualitative and quantitative approaches. The important key energy factors for the evaluation of energy saving technologies and solutions are gathered through a literature survey. This paper proposes a framework based on the fuzzy Delphi method, fuzzy multiple criteria decision-making, including fuzzy analytic hierarchy process and fuzzy techniques for order performance by similarity to ideal solution. In the fuzzy Delphi method step of the study, 17 key energy factors were selected from among a total of 40 energy factors and categorised into five groups. Fuzzy analytic hierarchy process was used for the ranking of 17 key energy factors, and fuzzy techniques for order performance by similarity to ideal solution employed for ranking of the 10 biggest Iranian hotels in different provinces. The results of this study revealed that the first rank of main groups was equipment efficiency (0.403), system efficiency (0.225) had the second rank, third rank was related to reduction of heating and cooling demands (0.151) and energy management (0.091) and renewable energy (0.083) had the fourth and fifth ranks respectively. In the ranking weights of 17 sub-groups of energy saving technologies and solutions, the results of fuzzy analytic hierarchy process showed that efficient solutions for active space cooling (0.662) was as first rank, building insulation had the second rank with score (0.541) and third rank was European Eco-label for tourist accommodation service (0.532).

Suggested Citation

  • Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Nor, Khalil M.D. & Khoshnoudi, Masoumeh, 2016. "Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: A new hierarchical framework," Energy, Elsevier, vol. 117(P1), pages 131-148.
  • Handle: RePEc:eee:energy:v:117:y:2016:i:p1:p:131-148
    DOI: 10.1016/j.energy.2016.10.076
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    as
    1. Liu, Mingxi & Shi, Yang & Fang, Fang, 2014. "Combined cooling, heating and power systems: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 1-22.
    2. Xiaohua, Wang & Zhenmin, Feng, 2002. "Sustainable development of rural energy and its appraising system in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(4), pages 395-404, August.
    3. Gago, E.J. & Muneer, T. & Knez, M. & Köster, H., 2015. "Natural light controls and guides in buildings. Energy saving for electrical lighting, reduction of cooling load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1-13.
    4. Thollander, Patrik & Backlund, Sandra & Trianni, Andrea & Cagno, Enrico, 2013. "Beyond barriers – A case study on driving forces for improved energy efficiency in the foundry industries in Finland, France, Germany, Italy, Poland, Spain, and Sweden," Applied Energy, Elsevier, vol. 111(C), pages 636-643.
    5. Lazos, Dimitris & Sproul, Alistair B. & Kay, Merlinde, 2014. "Optimisation of energy management in commercial buildings with weather forecasting inputs: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 587-603.
    6. Li, Ke & Lin, Boqiang, 2015. "The improvement gap in energy intensity: Analysis of China's thirty provincial regions using the improved DEA (data envelopment analysis) model," Energy, Elsevier, vol. 84(C), pages 589-599.
    7. Cho, Heejin & Smith, Amanda D. & Mago, Pedro, 2014. "Combined cooling, heating and power: A review of performance improvement and optimization," Applied Energy, Elsevier, vol. 136(C), pages 168-185.
    8. Khemiri, Abdelhak & Hassairi, Mohamed, 2005. "Development of energy efficiency improvement in the Tunisian hotel sector: a case study," Renewable Energy, Elsevier, vol. 30(6), pages 903-911.
    9. Zografakis, Nikolaos & Gillas, Konstantinos & Pollaki, Antrianna & Profylienou, Maroulitsa & Bounialetou, Fanouria & Tsagarakis, Konstantinos P., 2011. "Assessment of practices and technologies of energy saving and renewable energy sources in hotels in Crete," Renewable Energy, Elsevier, vol. 36(5), pages 1323-1328.
    10. Bowden, Nicholas & Payne, James E., 2009. "The causal relationship between U.S. energy consumption and real output: A disaggregated analysis," Journal of Policy Modeling, Elsevier, vol. 31(2), pages 180-188.
    11. Cagno, E. & Worrell, E. & Trianni, A. & Pugliese, G., 2013. "A novel approach for barriers to industrial energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 290-308.
    12. Kahraman, Cengiz & Cebeci, Ufuk & Ruan, Da, 2004. "Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey," International Journal of Production Economics, Elsevier, vol. 87(2), pages 171-184, January.
    13. Trianni, Andrea & Cagno, Enrico & De Donatis, Alessio, 2014. "A framework to characterize energy efficiency measures," Applied Energy, Elsevier, vol. 118(C), pages 207-220.
    14. Abdilahi, Abdirahman Mohamed & Mohd Yatim, Abdul Halim & Mustafa, Mohd Wazir & Khalaf, Omar Tahseen & Shumran, Alshammari Fahad & Mohamed Nor, Faizah, 2014. "Feasibility study of renewable energy-based microgrid system in Somaliland׳s urban centers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 1048-1059.
    15. 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, Elsevier, vol. 28(13), pages 2063-2087.
    16. Wu, Cheng-Shiung & Lin, Chin-Tsai & Lee, Chuan, 2010. "Optimal marketing strategy: A decision-making with ANP and TOPSIS," International Journal of Production Economics, Elsevier, vol. 127(1), pages 190-196, September.
    17. Maes, Tom & Van Eetvelde, Greet & De Ras, Evelien & Block, Chantal & Pisman, Ann & Verhofstede, Bjorn & Vandendriessche, Frederik & Vandevelde, Lieven, 2011. "Energy management on industrial parks in Flanders," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1988-2005, May.
    18. Fleiter, Tobias & Fehrenbach, Daniel & Worrell, Ernst & Eichhammer, Wolfgang, 2012. "Energy efficiency in the German pulp and paper industry – A model-based assessment of saving potentials," Energy, Elsevier, vol. 40(1), pages 84-99.
    19. Chauhan, Anurag & Saini, R.P., 2014. "A review on Integrated Renewable Energy System based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 99-120.
    20. Cavallaro, Fausto, 2010. "Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems," Applied Energy, Elsevier, vol. 87(2), pages 496-503, February.
    21. Sola, Antonio Vanderley Herrero & Mota, Caroline Maria de Miranda & Kovaleski, João Luiz, 2011. "A model for improving energy efficiency in industrial motor system using multicriteria analysis," Energy Policy, Elsevier, vol. 39(6), pages 3645-3654, June.
    22. Fadaee, M. & Radzi, M.A.M., 2012. "Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3364-3369.
    23. Dixon, Gene & Abdel-Salam, Tarek & Kauffmann, Paul, 2010. "Evaluation of the effectiveness of an energy efficiency program for new home construction in eastern North Carolina," Energy, Elsevier, vol. 35(3), pages 1491-1496.
    24. Chai, Kah-Hin & Yeo, Catrina, 2012. "Overcoming energy efficiency barriers through systems approach—A conceptual framework," Energy Policy, Elsevier, vol. 46(C), pages 460-472.
    25. Carmelo J. León & Jorge E. Arana & Anastasia Hernández Alemán, 2014. "CO 2 Emissions and tourism in developed and less developed countries," Applied Economics Letters, Taylor & Francis Journals, vol. 21(16), pages 1169-1173, November.
    26. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    27. Abdolreza Yazdani-Chamzini & Mohammad Majid Fouladgar & Edmundas Kazimieras Zavadskas & S. Hamzeh Haji Moini, 2013. "Selecting the optimal renewable energy using multi criteria decision making," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 14(5), pages 957-978, November.
    28. Bajpai, Prabodh & Dash, Vaishalee, 2012. "Hybrid renewable energy systems for power generation in stand-alone applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2926-2939.
    29. Sebitosi, A.B., 2008. "Energy efficiency, security of supply and the environment in South Africa: Moving beyond the strategy documents," Energy, Elsevier, vol. 33(11), pages 1591-1596.
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