2014
DOI: 10.1016/j.energy.2014.02.017
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Application of multi-criteria decision-making model for choice of the optimal solution for meeting heat demand in the centralized supply system in Belgrade

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Cited by 29 publications
(11 citation statements)
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“…They applied the developed methodology to a case study and obtained reasonable results. Grujic et al analyzed 3 scenarios named realistic, optimistic, and BAU for energy sector development until 2030 for Belgrade. They used ELECTRE outranking method as a MCDM tool to obtain the best option for each scenario by evaluating alternatives in eight criteria.…”
Section: Use Of Mcdm Methods For Energy Policy and Decision Makingmentioning
confidence: 99%
“…They applied the developed methodology to a case study and obtained reasonable results. Grujic et al analyzed 3 scenarios named realistic, optimistic, and BAU for energy sector development until 2030 for Belgrade. They used ELECTRE outranking method as a MCDM tool to obtain the best option for each scenario by evaluating alternatives in eight criteria.…”
Section: Use Of Mcdm Methods For Energy Policy and Decision Makingmentioning
confidence: 99%
“…Using the ELECTRE method as a basis, Grujic et al [76] have developed the assessment system and found out how to optimally meet the demand for heat in the centralized heat supply system in Belgrade. Three scenarios until 2030, corresponding to the different economic situation, investment environment, and possible energy efficiency in the country, were prepared.…”
Section: Abotah and Daimmentioning
confidence: 99%
“…This method effectively supports decision making on new energy investments and performs well compared to other existing methods [24]. The authors Grujić, Ivezić, and Živković [77] proposed a model for the selection of the ideal district heating system comparing different options to meet the expected new heat demand, applying the ELECTRE to obtain the ideal system. Peng et al [25] presented an applicable decision support model established by integrating the Z numbers, regret theory and, ELECTRE III to assess the risk of investing in new energy sources.…”
Section: Electrementioning
confidence: 99%