Identification of a Multi-criteria Model of Location Assessment for Renewable Energy Sources

Problems related to sustainable urban transport have gained in importance with the rapid growth of urban agglomerations. There is, therefore, a need to support decision-making processes in this area, a trend that is visible in the literature. Many methods have already been presented as a useful decision-making tool in this field. However, it is still a significant challenge to properly determine the relevance of the criteria because it is one of the most critical points of many presented techniques to solve decision problems. In this work, we propose two new approaches to determining the relevance of particular decision criteria effectively in sustainable transport problems. For this purpose, we examine a study case for the evaluation of electric bikes evaluated against eight criteria, which have been taken from earlier work. We calculate the relevance of each criterion using four different approaches and then evaluate their effectiveness using a reference ranking and popular multi-criteria decision analysis methods. The results are compared with each other by using similarity coefficients. Finally, we summarize the results obtained and set out further methods of development.

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“…Step 4. The rule base-each characteristic object and its value of preference is converted to a fuzzy rule as (23):…”

Section: Obtainment Of the Rule Basementioning

confidence: 99%

Efficiency of Methods for Determining the Relevance of Criteria in Sustainable Transport Problems: A Comparative Case Study

et al. 2020

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“…The issues related strictly to wind energy, including offshore wind farms, are being resolved with the use of MCDA methods. The topic of offshore wind farm location selection has been addressed in many studies, also focused on: compensation problems [7], RES decision support systems and their reuse [8,26], integration issues [27,28], social and economic issues [29,30], construction issues [31] or GIS (Geographic Information System) technologies [29,[32][33][34].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The location selection was based on a decision model with six criteria and 22 sub-criteria. In [8,26], based on three criteria and on a total of ten sub-criteria, a location was selected for an offshore wind farm in the Polish economic zone in the Baltic Sea. The AHP with PROMETHEE II, and the COMET methods were used for this purpose in [8,26] respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In [8,26], based on three criteria and on a total of ten sub-criteria, a location was selected for an offshore wind farm in the Polish economic zone in the Baltic Sea. The AHP with PROMETHEE II, and the COMET methods were used for this purpose in [8,26] respectively. In [27], a similar decision problem, related to the Persian Gulf, was handled with the use of six criteria and 31 sub-criteria, using the fuzzy variants of the DEMATEL, ANP and ELECTRE methods.…”

Section: Literature Reviewmentioning

confidence: 99%

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Using the PROSA Method in Offshore Wind Farm Location Problems

et al. 2017

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Abstract:Wind is the most used renewable energy source (RES) in the European Union and Poland. Due to the legal changes in the scope of RES in Poland, there are plans to develop offshore wind farms at the expense of onshore ones. On the other hand, the success of an offshore wind farm is primarily determined by its location. Therefore, the aim of this study is to select offshore wind farm locations in Poland, based on sustainability assessment, which is an inherent aspect of RES decision-making issues. To accomplish the objectives of this research, PROSA (PROMETHEE for Sustainability Assessment) method, a new multi-criteria method is proposed. Like PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation), PROSA is transparent for decision makers and is easy to use; moreover, it provides the analytical tools available in PROMETHEE, i.e., the sensitivity and GAIA (Geometrical Analysis for Interactive Assistance) analyses. However, PROSA is characterized by a lower degree of criteria compensation than PROMETHEE. Thus, it adheres in a higher degree to the strong sustainability paradigm. The study also compared the solutions of the decision problem obtained with the use of PROSA and PROMETHEE methods. The compared methods demonstrated a high concurrence of the recommended decision-making variant of location selection, from methodological and practical points of view. At the same time, the conducted research allowed to confirm that the PROSA method recommends more sustainable decision-making variants, and that the ranking it builds is less sensitive to changes in criteria weights. Therefore, it is more stable than the PROMETHEE-based ranking.

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“…Such multidimensional matter requires the use of various techniques to address this problem, such as fuzzy logic or multi-criteria decision analysis (MCDA) methods [17][18][19]. Currently, the evaluation of sustainable transport is an emerging area that researchers handle more frequently with the use of MCDA methods, proven to be effective in such challenges [20][21][22], as well as in evaluating other sustainable decision problems [23,24]. With growing attention towards sustainability assessment, one should also consider renewable energy sources, which is a popular subject in many kinds of research.…”

Section: Introductionmentioning

confidence: 99%

Multicriteria Approach to Sustainable Transport Evaluation under Incomplete Knowledge: Electric Bikes Case Study

2019

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The problem of sustainable city transport is a growing field of study, and will be addressed in this paper. With the rising significance of present transportation systems’ negative externalities on the environment, such as the unavoidable increase of air pollution levels, cities seek sustainable means of transport and reduction of combustion cars’ utilization. Moreover, improvements in the area of renewable energy sources have led to rising trends in sustainability, driving the usage and production of electric vehicles. Currently, there is an increasing tendency of looking for more sustainable transport solutions, especially in highly congested urban areas. It seems that in that case, electric bicycles can be a good option, as they yield more benefits in comparison to cars, especially combustion cars. In this paper, we identify an assessment model for the selection of the best electric bicycle for sustainable city transport by using incomplete knowledge. For this purpose, the Characteristic Objects METhod (COMET) is used. The COMET method, proven effective in the assessment of sustainable challenges, is a modern approach, utterly free of the rank reversal phenomenon. The evaluated model considers investigated multiple criteria and is independent of chosen alternatives in the criteria domain. Hence, it can be easily modified and extended for diverse sets of decisional variants. Moreover, the presented approach allows assessing alternatives under conditions of incomplete knowledge, where some data are presented as possible interval numbers.

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Identification of a Multi-criteria Model of Location Assessment for Renewable Energy Sources

Cited by 38 publications

References 19 publications

Efficiency of Methods for Determining the Relevance of Criteria in Sustainable Transport Problems: A Comparative Case Study

Efficiency of Methods for Determining the Relevance of Criteria in Sustainable Transport Problems: A Comparative Case Study

Using the PROSA Method in Offshore Wind Farm Location Problems

Multicriteria Approach to Sustainable Transport Evaluation under Incomplete Knowledge: Electric Bikes Case Study

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