Multicriteria analysis for the selection of the most appropriate energy crops: the case of Cyprus

Kylili, Angeliki; Christoforou, Elias; Fokaides, Paris A.; Polycarpou, Polycarpos

doi:10.1080/14786451.2014.898640

Cited by 34 publications

(14 citation statements)

References 27 publications

(21 reference statements)

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“…They gave equal weights to each criterion and selected photovoltaic energy as the best alternative. Kylili et al used PROMETHEE as a practical MCDM method to define the most suitable energy crops in Cyprus. They ranked alternatives by using different scenarios.…”

Section: Use Of Mcdm Methods For Energy Policy and Decision Makingmentioning

confidence: 99%

Use of MCDM techniques for energy policy and decision-making problems: A review

2018

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Energy consumption increases all over the world as a result of industrialization in recent years. In this context, it has become important to meet increasing energy demand. It is significant to find alternative energy sources because of limited nonrenewable energy sources such as coal, petroleum, and natural gas. At this point, renewable energy sources have an important role to meet energy requirement. As a result, decision and policy making for energy is completely critical issue for countries. Various technical, economic, environmental, and social criteria are used to solve energy policy and decision-making problems such as evaluation of energy projects, selection among energy alternatives, power plant site selection, and determining energy policy. Multicriteria decision-making (MCDM) methods are used as effective tools to help decision makers while solving energy problems. There are a large number of studies including articles, conference papers, and book chapters, which examine energy problems by using MCDM methods in the literature. Therefore, analyzing these studies according to different features such as publication year, MCDM method, document type, statistical analyses, country, and published journal can be beneficial for leading researchers who study in energy decision-making field. In this study, published papers, which use traditional MCDM methods to handle energy problems, are examined systematically. By the way, it is aimed to lead to researchers regarding MCDM methods which are utilized in energy applications. It also conducted some statistical analyses to obtain trends between years and MCDM methods. Besides, recent developments in energy field are presented through this comprehensive literature review.

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Section: Use Of Mcdm Methods For Energy Policy and Decision Makingmentioning

confidence: 99%

Use of MCDM techniques for energy policy and decision-making problems: A review

2018

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“…Despite containing arcpy cedures, its integration with ArcGIS software was undertaken as in the case of any o Multiple criteria decision-making (MCDM) or multiple criteria decision analysis (MCDA) is a workflow design focused on structuring and solving problems involving multiple criteria when no unique optimal solution is known. This can be seen as choosing either the best alternative from a set of available alternatives or the most efficient nondominated (not improvable in any criterion without sacrificing in another) alternative [31,32].…”

Section: Soil Permeabilitymentioning

confidence: 99%

GIS-Based Multi-Criteria Analysis Method for Assessment of Lake Ecosystems Degradation—Case Study in Romania

Avram

Cipu

Corpade

et al. 2021

IJERPH

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In general, the elaboration of the synthesis of water quality in Romania is based on the processing of a large volume of information coming from primary analytical data collected with a constant frequency by the organisms with a specific role in water quality monitoring. This study proposes a novel methodology for multi-criteria analysis aiming to evaluate the degradation state of lake ecosystems. The cornerstone of the newly presented methodology is a geographic information system (GIS) automated tool, involving the assessment of potential degradation sources affecting the watershed that supply the lakes with water. The methodology was tested by performing an analysis on 30 lakes in Romania. The lakes belong to different geographical areas, owing various natural specific conditions and were selected to fit to various types and specific local conditions. The calculation of the WRASTIC-HI (Wastewater–Recreation–Agriculture–Size–Transportation–Industry–Cover–Hazard Index) revealed that, out of 30 lake ecosystems selected as the case study, two lakes were fully degraded, 24 lakes were semi-degraded, and four were in a natural state. The four lakes characterised by a natural state are located in mountainous regions or in the Danube Delta. The results obtained on the selected lakes proved that the proposed index calculation corresponded in all case studies to the real field situation, highlighting thus the accuracy of the assessing process and increased advantages of the assessment’s automation.

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“…Kinoshita et al (2009) developed a model for estimating forest biomass harvesting costs using GIS. Kylili et al (2014) performed a multicriteria analysis for the selection of the most appropriate energy crops: the case of Cyprus.…”

Section: Literature Reviewmentioning

confidence: 99%