Multi-criteria decision making on the energy supply configuration of autonomous desalination units

Georgiou, D.N.; Mohammed, Essam Sh.; Rozakis, Stélios

doi:10.1016/j.renene.2014.09.036

Cited by 75 publications

(20 citation statements)

References 28 publications

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“…Besides, western China was selected as the best alternative by using SAW method. Georgiou et al evaluated 5 alternative energy generation topologies of reverse osmosis desalination process with respect to environmental, economic, social, and technical criteria using AHP and PROMETHEE methods. The direct coupled system was selected as the best alternative for all of environment concerns, economic preference, and equal weights 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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“…AHP was developed by Saaty [7], in 1980, and it is extensively applied in problems involving multiple, often conflicting, criteria [34]. The aim of AHP is to define the optimum alternative and to categorise the others considering the criteria that describe them.…”

Section: Ahpmentioning

confidence: 99%

“…Furthermore, throughout this method, the hierarchy is revealed after the breakdown of the problem, which enables understanding and defining the process itself. It is also suitable for dealing with technological characteristics and future aspects that are not well known [3,34]. It should be noted that AHP cannot directly consider potential associations amongst many components, as it performs poorly when different levels are independent, which implies that the method is unsuccessful in representing the complicated connections among the components.…”

Section: Ahpmentioning

confidence: 99%

“…PROMETHEE has been used in a wide range of renewable-related applications, such as in [33], where the authors developed and tested a decision support system using the PROMETHEE II method in RES exploitation, and [34] implemented both PROMETHEE and AHP methods in order to choose the most appropriate desalination system in RES plants. In [35], the PROMETHEE method was applied in order to choose the best among four alternative energy exploitation projects in an MCDM problem.…”

Section: Introductionmentioning

confidence: 99%

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A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs

et al. 2016

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This paper presents an application and extension of multiple-criteria decision-making (MCDM) methods to account for stochastic input variables. More in particular, a comparative study is carried out among well-known and widely-applied methods in MCDM, when applied to the reference problem of the selection of wind turbine support structures for a given deployment location. Along with data from industrial experts, six deterministic MCDM methods are studied, so as to determine the best alternative among the available options, assessed against selected criteria with a view toward assigning confidence levels to each option. Following an overview of the literature around MCDM problems, the best practice implementation of each method is presented aiming to assist stakeholders and decision-makers to support decisions in real-world applications, where many and often conflicting criteria are present within uncertain environments. The outcomes of this research highlight that more sophisticated methods, such as technique for the order of preference by similarity to the ideal solution (TOPSIS) and Preference Ranking Organization method for enrichment evaluation (PROMETHEE), better predict the optimum design alternative.

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“…A pairwise comparison matrix is filled, referred to as A (Saaty's hierarchy matrix). It contains the performance of each criterion (or sub-criterion) against each other, taking into consideration expert judgment [45].…”

Section: Determining Local Priorities (Weights) For the Sub-criteria mentioning

confidence: 99%

Assessing Sustainability Performance at the Farm Level: Examples from Greek Agricultural Systems

Tzouramani¹,

Mantziaris

Karanikolas

2020

Sustainability

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In recent years, farmers and policymakers have faced ample challenges and have struggled to support the sustainability of the agricultural sector. Sustainable agriculture encompasses multiple concepts, and its performance produces extensive debate about data requirements, appropriate indicators, evaluation methods, and tools. Under the European Union (EU) financed project FLINT (Farm Level Indicators for New Topics in policy evaluation), detailed data have been collected at the farm level to provide broader coverage of sustainability indicators on a wide range of relevant topics to facilitate the assessment of sustainability performance. The approach has been applied in a pilot network of representative farms at the EU level, considering the heterogeneity of the EU farming sector to provide data infrastructure with up to date information for sustainability indicators. This study aims to assess sustainability performance at the farm level in Greece. Representative and dominant agricultural systems, such as permanent crops, olive trees, arable crops, and livestock (sheep) farms, comprise the Greek sample. It uses the analytical hierarchy process (AHP) methodology and attempts to gain insights into the sustainability performance of agricultural systems. The outcome of the sustainability assessment reveals knowledge and develops support for strategic farm choices in order to support both farmers and policymakers towards more sustainable development plans. The results indicate that three typical Mediterranean farming systems, namely permanent crops, olive trees, and extensive livestock systems (sheep farms), are more sustainable in contrast to intensive and arable crop farms.

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Multi-criteria decision making on the energy supply configuration of autonomous desalination units

Cited by 75 publications

References 28 publications

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

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

A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs

Assessing Sustainability Performance at the Farm Level: Examples from Greek Agricultural Systems

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