2010
DOI: 10.1016/j.energy.2010.02.051
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Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul

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Cited by 634 publications
(327 citation statements)
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“…Three energy planning experts are invited to assess the selected RE alternatives with respect to each criteria using the linguistic variables shown in Table 3. To simplify the operational process, all the energy criteria are considered as benefit criteria (Kaya and Kahraman, 2010). Table 8 gives the assessment results made by the appointed experts.…”
Section: Figure 2 the Hierarchical Structure For Re Resources Selectionmentioning
confidence: 99%
“…Three energy planning experts are invited to assess the selected RE alternatives with respect to each criteria using the linguistic variables shown in Table 3. To simplify the operational process, all the energy criteria are considered as benefit criteria (Kaya and Kahraman, 2010). Table 8 gives the assessment results made by the appointed experts.…”
Section: Figure 2 the Hierarchical Structure For Re Resources Selectionmentioning
confidence: 99%
“…Accordingly, the subjection grade is 0.9, 0.7, 0.5, 0.3 and 0.1, respectively [21]. The data in Table 4 was studied for the purpose of applying hierarchy GRA.…”
Section: Alternatives Criteriamentioning
confidence: 99%
“…In renewable energy projects like wind farm projects, solar projects, geothermal projects or biomass projects, MCDM methods have been widely used. For deciding the optimum mix of RESs based distributed generation technology with various sectors like central power generation system, MODM methods have been used [2,3,9,10]. In the work of Borges and Antunes [31], renewable energy economic planning is showing the interactions between technical and economic parts of the system.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Now a days, growing environmental awareness modified the above decision-making framework. The need for the integration of social and environmental considerations in RESs planning resulted in the increased usage of RESs technologies with multi-criteria approaches [9].…”
Section: Introductionmentioning
confidence: 99%