scholarly journals Comparative Multicriteria Analysis Methods for Ranking Sites for Solar Farm Deployment: A Case Study in Greece

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8371
Author(s):  
Dimitra G. Vagiona
Keyword(s):  
Geographical Information Systems ◽  
Multicriteria Analysis ◽  
Multicriteria Decision Making ◽  
Geographical Information ◽  
Preference Ranking ◽  
Solar Pv ◽  
Ranking Problem ◽  
Promethee Ii ◽  
Order Preference ◽  
Legislative Framework

This study investigated the prioritization and ranking problem of the appropriate locations at which to deploy solar photovoltaic (PV) farms. Although different Multicriteria Decision Making (MCDM) methods can be found in the literature to address this problem, a comparative analysis of those methods is missing. The aim of this study is to compare four different MCDM approaches to evaluate and rank suitable areas for the deployment of solar PV farms, with the island of Rhodes (Greece) being used as an example. Feasible areas for the location of such facilities were identified with the use of Geographical Information Systems (GIS), by applying certain exclusion criteria found either in the national legislative framework or in the international literature. Data were obtained from Greek open geospatial data. The feasible sites were evaluated and ranked using four different MCDM methods: the Analytical Hierarchy Process (AHP), the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje), and the PROMETHEE II (Preference Ranking Organization METHod for Enrichment of Evaluations) method. The best alternative rated according to three TOPSIS, VIKOR and PROMETHEE is site (S2). The second-best alternative in the above three methods is site (S1), while the worst is site (S3). The best alternative rated according to AHP (S4) is in sixth position according to TOPSIS and in fifth position VIKOR and PROMETHEE. The comparison demonstrated that different MCDM techniques may generate different ranks. The simultaneous use of several MCDM methods in energy siting problems is considered advantageous as it can help decision makers to select the most sustainable sites, avoiding the disadvantages and availing the advantages of each method.

scholarly journals Ranking of hydropower projects based on sustainability criteria in India using multicriteria decision making methods

2021 ◽  
Vol 12 (1) ◽  
pp. 75-90
Author(s):  
Anuja Shaktawat ◽  
Shelly Vadhera
Keyword(s):  
Decision Making ◽  
Sustainability Assessment ◽  
Multicriteria Decision Making ◽  
Preference Ranking ◽  
Energy Planning ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Promethee Ii ◽  
Sustainability Criteria ◽  
Hierarchy Process

Assessment of hydropower projects with respect to sustainability criteria is a multidimensional and complex issue. It requires considering technical, environmental, and social parameters instead of purely economic ones in decision making for energy planning. The flexibility to consider several criteria and objectives simultaneously leads to the use of multicriteria decision making (MCDM) methods which are well accepted in the field of energy planning. This paper aims at applying MCDM methods in facilitating the decision makers to select the most sustainable hydropower projects in the Indian region by making real and logical choices based on eight important criteria selected from the literature that are compatible with sustainable development. To comprehensively rank hydropower projects three MCDM methods are applied i.e., the technique for order of preference by similarity to ideal solution (TOPSIS), preference ranking organization method for enrichment evaluations (PROMETHEE II), and elimination and choice translating reality (ELECTRE III). Analytic hierarchy process (AHP) is used to calculate the weights of criteria. All three methods are well adapted for sustainability assessment and ranked Sharavathi (A9), Bhakra (A2), and Upper Indravati (A13) to be the most sustainable hydropower projects in India under the selected criteria. The study will be helpful in sustainable energy planning of hydropower projects with similar geographical conditions.

scholarly journals Ranking of hydropower projects based on sustainability criteria in India using multicriteria decision making methods

2021 ◽  
Vol 10 (3) ◽  
pp. 230
Author(s):  
Anuja Shaktawat ◽  
Shelly Vadhera
Keyword(s):  
Decision Making ◽  
Planning Process ◽  
Sustainability Assessment ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
The Sustainable Development ◽  
Promethee Ii ◽  
Sustainability Criteria

Assessment of hydropower projects with respect to sustainability criteria is a multidimensional and a complex issue that decision makers usually face during planning process. In hydropower projects, it is important to consider technical, environmental and social parameters instead of purely economic ones for sustainability assessment and decision making. Multi-criteria decision making (MCDM) methods offer a practical approach to a problem having conflicting criteria. The flexibility to consider several criteria and objectives simultaneously made MCDM methods well accepted in the field of energy planning. This paper aims for applicability of MCDM methods which will facilitate the decision makers to select the most sustainable hydropower projects by making real and logical choices based on various sustainability criteria. For comprehensively rank hydropower projects of Indian region based on sustainability criteria four MCDM methods are applied i.e., analytic hierarchy process (AHP), technique for order of preference by similarity to ideal solution (TOPSIS), preference ranking organization method for enrichment evaluations (PROMETHEE II) and elimination and choice translating reality (ELECTRE III). To ensure better decision making the eight criteria selected are compatible to the sustainable development of hydropower projects.

scholarly journals Multitemporal Analysis of Soil Sealing and Land Use Changes Linked to Urban Expansion of Salamanca (Spain) Using Landsat Images and Soil Carbon Management as a Mitigating Tool for Climate Change

2020 ◽  
Vol 12 (7) ◽  
pp. 1131 ◽  
Author(s):  
Marco Criado ◽  
Fernando Santos-Francés ◽  
Antonio Martínez-Graña ◽  
Yolanda Sánchez ◽  
Leticia Merchán
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Soil Carbon ◽  
Geographical Information Systems ◽  
Urban Expansion ◽  
Multicriteria Analysis ◽  
Geographical Information ◽  
Landsat Images ◽  
Carbon Management ◽  
Soil Sealing

The lack of urban sustainability is a widespread deficiency in urban agglomerations. To achieve adequate land use, we present a methodology that allows for: 1) the identification of the impacts caused by urban expansion since 1956 to the present in Salamanca (Spain); and 2) the promotion of a more sustainable future in urban development. A multi-temporal assessment of land use was made by remote sensing, while sustainability criteria were analyzed using the multicriteria analysis (MCA) with Geographical Information Systems (GIS). In addition, we established recommendations for soil carbon management in semi-arid ecosystem soils that contribute to climate change mitigation. The results show an increase of the urbanized area from 3.8% to 22.3% in the studied period, identifying up to 15% of buildings in zones with some type of restriction. In 71% of the cases, urbanization caused the sealing of productive agricultural soils (2519 Ha), almost 20% of which were of the highest quality. In last few decades, an excessive increase of built-up areas in comparison to population dynamics was identified, which causes unnecessary soil sealing that affects the food production and the capacity to mitigate climate change by managing the carbon cycle in the soil.

scholarly journals A Multi-Criteria Approach to Evaluate Floating Offshore Wind Farms Siting in the Canary Islands (Spain)

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 865
Author(s):  
Hugo Díaz ◽  
Carlos Guedes Soares
Keyword(s):  
Canary Islands ◽  
Site Selection ◽  
Geographical Information Systems ◽  
Wind Farm ◽  
Wind Farms ◽  
Offshore Wind ◽  
Geographical Information ◽  
Preference Ranking ◽  
Offshore Wind Farms ◽  
Decision Methods

The study presents a methodology for floating wind farms site selection with a Canary Islands case study. The frame combines geographical information systems (GIS) and multiple criteria decision methods (MCDMs). First, the problematic areas for the installation of the turbines are identified through a GIS database application. This tool generates thematic layers representing exclusion criteria. Then, at the second stage of the study, available maritime locations are analyzed and ranked using the analytical hierarchy process (AHP), based on technical, economic, and environmental aspects. AHP’s technique guarantee the elimination of the judgment’s subjectivity. The study also compared the solutions of the AHP technique with other methods, such as Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE III), Technique for Order Preferences by Similarity to Ideal Solution (TOPSIS) and Weighted Sum Algorithm (WSA(). The main result of this study is the creation of a realistic and objective overview of floating offshore wind farm site selection and the contribution to minimize the environmental impacts and to reduce the social conflicts between stakeholders.

scholarly journals Using ordered weight averaging (OWA) for multicriteria soil fertility evaluation by GIS (case study: southeastern Iran)

2016 ◽  
Author(s):  
Marzieh Mokarram ◽  
Majid Hojati
Keyword(s):  
Soil Fertility ◽  
Geographical Information Systems ◽  
Multicriteria Analysis ◽  
Geographical Information ◽  
Weighted Averaging ◽  
Risk Level ◽  
Accurate Information ◽  
Fars Province ◽  
Risk Levels ◽  
Wide Range

Abstract. The Multicriteria Decision Analysis (MCDA) and Geographical Information Systems (GIS) are used to provide accurate information on Pedogenic processes and facilitate the work of decision makers. So, MCDA and GIS, can provide a wide range of decision strategies or scenarios in some procedures. One of the popular algorithm of multicriteria analysis is Ordered Weighted Averaging (OWA). The OWA procedure depends on some parameters, which can be specified by means of fuzzy. The aim of this study is to take the advantage of the incorporation of fuzzy into GIS-based soil fertility analysis by OWA in west Shiraz, Fars province, Iran. For the determination of soil fertility maps, OWA parameters such as potassium (K), phosphor (P), copper (Cu), iron (Fe), manganese (Mn), organic carbon (OC) and zinc (Zn) were used. After generated interpolation maps with Inverse Distance Weighted (IDW), fuzzy maps for each parameter were generated by the membership functions. Finally, with OWA six maps for fertility with different risk level were made. The results show that with decreasing risk (no trade-off), almost all of the parts of the study area were not suitable for soil fertility. While increasing risk, more area was suitable in terms of soil fertility in the study area. So using OWA can generate many maps with different risk levels that lead to different management due to the different financial conditions of farmers.

scholarly journals Uso de geoprocessamento para indicação de áreas favoráveis à construção de aterro sanitário no município de Ouro Preto (MG) / Geographical information systems for indication of favorable areas to the sanitary landfill construction in Ouro Preto (MG)

2017 ◽  
Vol 27 (51) ◽  
pp. 642
Author(s):  
Diogenes Guilherme Pampolini Amaral
Keyword(s):  
Information Systems ◽  
Solid Waste ◽  
Geographical Information Systems ◽  
National Policy ◽  
Multicriteria Analysis ◽  
Geographical Information ◽  
Environmental Damage ◽  
Solid Waste Disposal ◽  
Environmentally Sustainable ◽  
Environmental Criteria

<p>A disposição de Resíduos Sólidos Urbanos (RSU) em lugares inadequados, como nos lixões, além de poluir o meio ambiente favorece a proliferação de vetores transmissores de doenças. Apesar do atual sistema de disposição de resíduos sólidos de Ouro Preto, o Aterro do Marzagão, ter sido projetado e implantado corretamente, atualmente esse aterro controlado funciona semelhante a um lixão. A fim de acabar com os danos sociais, econômicos e ambientais causados pela disposição incorreta dos resíduos sólidos, a LEI 12.305/2010 instituiu a Política Nacional de Resíduos Sólidos (PNRS). Esta lei estabelece dentre algumas sanções a que todos os municípios do Brasil devem transformar, até 2014, seus depósitos inadequados de resíduos em aterros sanitários ambientalmente sustentáveis. Baseado na Política Nacional de Resíduos Sólidos e na situação atual do sistema de disposição de RSU do município, este trabalho tem como objetivo principal gerar um mapa identificando as áreas favoráveis à implantação de um novo aterro. Utilizando a análise multicritérios e o método booleano, foi possível realizar a seleção e classificação de terrenos a partir de técnicas de geoprocessamento pautadas em critérios geoambientais. O resultado obtido gerou um mapa classificando áreas como inaptas, restritas, moderadas e favoráveis à implantação de um aterro sanitário no município de Ouro Preto.</p><p> </p><p><strong>Palavras–chave: </strong>resíduos sólidos urbanos, aterro sanitário, geoprocessamento, Ouro Preto.</p><p> </p><p><strong>Abstract </strong></p><p>The disposal of Municipal Solid Waste (MSW) in inappropriate places, like in the dumpsites, beyond pollute the environment favor the proliferation of disease-transmitting vectors. Despite the current solid waste disposal system of Ouro Preto, the Controlled Landfill Marzagão, has been designed and implemented correctly, this landfill presently works like a dumpsite. In order to remove the social, economic and environmental damage caused by improper disposal of solid waste, the Law 12.305/2010 established the National Policy on Solid Waste (NPSW). This law establishes among some sanctions that all municipalities in Brazil should become, by 2014, your inadequate waste deposits in environmentally sustainable landfills. Based on NPSW and the current situation of the MSW system of the city, this work has as main objective to generate a map classifying areas favorable to the implementation of a new landfill. Using the Multicriteria Analysis and the Boolean method, it was possible to select and classify lands as of geographical information systems techniques guided on geo-environmental criteria. The result has generated a map classifying areas as unfit, restricted, moderated and favorable to the implementation of a landfill in Ouro Preto city.</p><p> </p><p><strong>Keywords</strong>: urban solid waste, Landfill, Geographical Information Systems, Ouro Preto city.</p>

An intelligent approach for the evaluation of transformers in a power distribution project

2020 ◽  
Vol 39 (3) ◽  
pp. 4133-4145
Author(s):  
Funda Samanlioglu ◽  
Zeki Ayağ
Keyword(s):  
Power Distribution ◽  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Multiple Criteria Decision Making ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
Promethee Ii ◽  
Order Preference ◽  
Criteria Weights ◽  
Intelligent Approach

In this study, a hybrid approach is presented for the evaluation and selection of transformers in a power distribution project. Ranking transformers and selecting the best among alternatives is a complex multiple criteria decision making (MCDM) problem with various possibly conflicting quantitative and qualitative criteria. In this research, two hesitant fuzzy MCDM methods; hesitant fuzzy Analytic Hierarchy Process (hesitant F-AHP) and hesitant fuzzy Preference Ranking Organization Method for Enriching Evaluations II (hesitant F-PROMETHEE II) are combined to evaluate and rank transformers. In the hesitant fuzzy AHP-PROMETHEE II, hesitant F-AHP is implemented to determine criteria weights and hesitant F-PROMETHEE II is applied to rank transformer alternatives, utilizing obtained criteria weights. An illustrative example is presented to demonstrate the effectiveness and applicability of the proposed approach. In the example, five transformers are evaluated based on twelve criteria by three decision makers (DMs) and best alternative is selected. For comparison analysis, integration of hesitant F-AHP and hesitant fuzzy Technique for Order Preference by Similarity to Ideal Solution (hesitant F-TOPSIS) is used and results are compared.

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