scholarly journals Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study

2021 ◽  
Vol 13 (22) ◽  
pp. 12858
Author(s):  
Mohsen Ramezanzade ◽  
Hossein Karimi ◽  
Khalid Almutairi ◽  
Hoa Ao Xuan ◽  
Javad Saebi ◽  
...  
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Social Acceptance ◽  
National Level ◽  
Research Work ◽  
National Study ◽  
Small Hydropower ◽  
The North ◽  
Energy Projects ◽  
Decision Making Model

Energy requirements have increased dramatically due to industrialization, economic, and population growth. To meet this demand, and solve its challenges, such as climate change, renewable energies do play an important role. This research work aims at selecting the best renewable energy projects using a hybrid decision-making framework from environmental, economic, technical, and social aspects at a sub-national level. In this regard, a new hybrid fuzzy multi-criteria decision-making model is deployed in which Vise Kriterijumska Optimizacija I Kompromisno Resenje, distance from average solution, and additive ratio assessment methods are used. In addition, for the weighing of criteria, Fuzzy Shannon’s entropy is used. Furthermore, the North Khorasan province is nominated as a sub-national study area. The results show that among 30 sub-criteria, social acceptance, net-presented cost, and noise were the top three with weights of 0.1105, 0.1003, and 0.0988, respectively. Solar energy projects also accomplished high ranks with an overall score of roughly 0.22. After that, small hydropower got second place with a score of 0.187. Moreover, the ranking of cities indicates that Jajarm was the most suitable location for implementing renewable energy development with a score of 0.14. Finally, sensitivity analysis was carried out to show that the mathematical model possessed good robustness.

scholarly journals A Hesitant Fuzzy Linguistic Multicriteria Decision-Making Method with Interactive Criteria and Its Application to Renewable Energy Projects Selection

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Jichang Xiao ◽  
Jianfeng Cai ◽  
Xiaodong Wang
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Distance Measure ◽  
Multicriteria Decision Making ◽  
Multicriteria Decision ◽  
Energy Projects ◽  
Great Possibility ◽  
Environmental Goals ◽  
Decision Making Model ◽  
Fuzzy Linguistic

A variety of multicriteria decision-making (MCDM) methods for renewable energy projects evaluation have been proposed, of which the premise of using these methods is to assume that the criteria are independent of each other. However, it may be difficult or costly to build independent criteria set in some cases because renewable energy planning is to pursue a balance of economic, social, and environmental goals, which makes the existence of interaction among criteria be of great possibility. In this paper, we consider a highly ambiguous decision situation, where the experts are allowed to give the evaluations in the form of hesitant fuzzy linguistic terms set (HFLTS). We build a hesitant fuzzy linguistic decision-making model handling the interaction among criteria from the perspective of distance measure and apply it to renewable energy projects selection. The proposed method can consider more fuzzy factors and deal with the interaction among criteria more approximately. It can reduce the decision pressure and improve the decision-making efficiency because the decision makers are allowed to express their preference in form of HFLTS and a decision criteria set of which the criteria are independent of each other is not necessary.

Grey Based Decision Making for Evaluating Sustainable Performance of Indian Marble Industries

2019 ◽  
Vol 8 (2) ◽  
pp. 1-18
Author(s):  
Om Ji Shukla ◽  
Vishnu Jangid ◽  
Gunjan Soni ◽  
Rajesh Kumar
Keyword(s):  
Decision Making ◽  
Environmental Economic ◽  
Social Impact ◽  
Western Region ◽  
Sustainability Criteria ◽  
Sustainable Performance ◽  
The North ◽  
Decision Making Model ◽  
North Western ◽  
Detailed Questionnaire

This article focuses on the environmental, economic and social impact of marble industries in the north-western region of India. It presents a grey-based decision-making model for evaluating the extent of sustainability in three marble processing industries. The goal of this article is twofold. First, to identify the important criteria of sustainable performance in marble sector and second to compare three marble processing firms on the basis of sustainability criteria using grey based decision-making approach. A detailed questionnaire was sent to three marble processing firms and the analysis is done on the basis of the received responses.

A Multi-Criteria Strategic Decision Making Model to Assess Renewable Energy Forms

2017 ◽  
Vol 8 (2) ◽  
pp. 1-10 ◽  
Author(s):  
Daniel W. Keebler ◽  
Paul D. Albertelli Jr. ◽  
Briance Mascarenhas
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Energy Sources ◽  
Multiple Factors ◽  
Relative Attractiveness ◽  
Decision Making Model

Renewable energy can potentially be a source of competitive advantage, reduce greenhouse gases, and counter climate change. This study utilizes Multi-Criteria Decision Analysis to systematically assess the relative attractiveness of multiple renewable energy forms based on three factors: 1. business (economic), 2. technical (environmental), and 3. social (regulatory). It uncovers the relative attractiveness of various renewable energy forms and suggests strategies for their development for providers and customers. After considering multiple factors, the study found hydro, geothermal, and wind power to be relatively attractive renewable energy sources.

scholarly journals Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Rajkumar Rajavel ◽  
Mala Thangarathinam
Keyword(s):  
Decision Making ◽  
Success Rate ◽  
Decision Model ◽  
Research Work ◽  
Cloud Service ◽  
Negotiation Process ◽  
Communication Overhead ◽  
Markov Decision Problem ◽  
Fuzzy Similarity ◽  
Decision Making Model

Optimization of negotiation conflict in the cloud service negotiation framework is identified as one of the major challenging issues. This negotiation conflict occurs during the bilateral negotiation process between the participants due to the misperception, aggressive behavior, and uncertain preferences and goals about their opponents. Existing research work focuses on the prerequest context of negotiation conflict optimization by grouping similar negotiation pairs using distance, binary, context-dependent, and fuzzy similarity approaches. For some extent, these approaches can maximize the success rate and minimize the communication overhead among the participants. To further optimize the success rate and communication overhead, the proposed research work introduces a novel probabilistic decision making model for optimizing the negotiation conflict in the long-term negotiation context. This decision model formulates the problem of managing different types of negotiation conflict that occurs during negotiation process as a multistage Markov decision problem. At each stage of negotiation process, the proposed decision model generates the heuristic decision based on the past negotiation state information without causing any break-off among the participants. In addition, this heuristic decision using the stochastic decision tree scenario can maximize the revenue among the participants available in the cloud service negotiation framework.

A hybrid multi-criteria decision-making model for optimal coal blending

2019 ◽  
Vol 14 (2) ◽  
pp. 339-359 ◽  
Author(s):  
Shankar Chakraborty ◽  
Ankan Mitra
Keyword(s):  
Decision Making ◽  
Optimization Problems ◽  
Research Work ◽  
Carbon Dioxide Emission ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Geographical Regions ◽  
Coal Blending ◽  
Decision Making Model

Purpose The purpose of this paper is thus to develop a hybrid decision-making model for optimal coal blending strategy. Coal is one of the major resources contributing to generation of electricity and anthropogenic carbon-dioxide emission. Being formed from dead plant matter, it undergoes a series of morphological changes from peat to lignite, and finally to anthracite. Because of non-uniform distribution of coal over the whole earth and continuous variation in its compositions, coals mined from different parts of the world have widely varying properties. Hence, it requires an ideal blending strategy such that the coking coal having the optimal combination of all of its properties can be used for maximum benefit to the steel making process. Design/methodology/approach In this paper, a multi-criteria decision-making approach is proposed while integrating preference ranking organization method for enrichment of evaluations (PROMETHEE II and V) and geometrical analysis for interactive aid (GAIA) method to aid in formulating an optimal coal blending strategy. The optimal decision is arrived at while taking into account some practical implications associated with blending of coal, such as coal price from different reserves. Findings Different grades of coal are ranked from the best to the worst to find out the composition of constituent coals in the final blending process. Coals from the mines of two different geographical regions are considered here so as to prove the applicability of the proposed model. Adoption of this hybrid decision-making model would subsequently improve the performance of coal after blending and help in addressing some sustainability issues, like less pollution. Originality/value As this model takes into account the purchase price of coals from different reserves, it is always expected to provide more realistic solutions. Thus, it would be beneficial to deploy this decision-making model to different blending optimization problems in other spheres of a manufacturing industry. This model can further accommodate some more realistic criteria, such as availability of coal in different reserves as a topic of future research work.

scholarly journals Trends in Social Acceptance of Renewable Energy Across Europe—A Literature Review

2020 ◽  
Vol 17 (24) ◽  
pp. 9161
Author(s):  
Marco Segreto ◽  
Lucas Principe ◽  
Alexandra Desormeaux ◽  
Marco Torre ◽  
Laura Tomassetti ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Case Studies ◽  
Social Acceptance ◽  
Renewable Energy Systems ◽  
General Acceptance ◽  
Energy Projects ◽  
Significant Barrier ◽  
Quantitative Analyses ◽  
Local Acceptance ◽  
Public Opposition

Social acceptance has proven to be a significant barrier in the implementation of renewable energy systems (hereinafter “RES”). While a general acceptance of RES is high, low local acceptance has hindered the development of renewable energy projects (hereinafter “REP”). This study assesses the determinants of local and general social acceptance of REP across Europe through a qualitative analysis from 25 case studies of the most significant social drivers and barriers that include all European countries. These case studies contain qualitative and quantitative analyses of the main factors for social acceptance of many representative groups including residents, stakeholders, and experts. Understanding the influences of social acceptance enables us to create strategies that will promote the development of REP by mitigating any public opposition.

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