Comprehensive evaluation model of wind farm site selection based on ideal matter element and grey clustering

Tan, Qian; Tang, Wei; Wu, Peng; Zhang, Yu; Wu, Chenrui

doi:10.1016/j.jclepro.2020.122658

Cited by 42 publications

(12 citation statements)

References 7 publications

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“…Wu et al [49] combined the entropy method and the TODIM method to study the site selection of distributed wind power coupled hydrogen storage project for the first time. Tan et al [50] constructed an integrated weight model with subjective and objective weight methods and proposed the ideal matter element and the grey clustering evaluation model for the wind farms site selection. A combination of DEA and AHP was successfully implemented for the first time by Wang et al [51], aiming to determine the optimized locations for power plant construction by using both quantitative and subjective assessments.…”

Section: Check Resultsmentioning

confidence: 99%

Location Optimization of Wind Plants Using DEA and Fuzzy Multi-Criteria Decision Making: A Case Study in Vietnam

2021

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The objective of the present paper is to develop a systematic and sustainability-focused evaluation framework to determine the best locations for wind plants in Vietnam. For the decision-making that influences wind plant site selection, while some criteria can be evaluated based on a numerical database, numerous qualitative criteria must be under experts' judgments in the form of linguistic terms and can be represented through fuzzy numbers. In this direction, a two-phase framework of multi-criteria decision making (MCDM) methodologies using the merits of Data Envelopment Analysis (DEA), Fuzzy Analytic Hierarchy Process (FAHP), and Fuzzy Weighted Aggregated Sum-Product Assessment (FWASPAS) is proposed for the first time. In the first phase using DEA, the most potential locations regarding their efficiency on various quantitative criteria are selected. These locations are further assessed in the second phase in terms of qualitative criteria viz. technical, economic, environmental, and socio-political factors. For this evaluation, FAHP was used for criteria weighting, and FWASPAS ranks the provinces. A comparison with the existing locations, sensitivity analysis of criteria, and comparative analysis of methods are performed to support the outcomes of the proposed work. The results illustrate that all methods reach common rankings, in which Binh Thuan province got the highest rank. This shows that the applied models are robust in nature. Implementation of the proposed approach can enable governments and stakeholders to save costs and make the most out of resources in the planning phase of wind power plants or any other renewable energy projects.

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Section: Check Resultsmentioning

confidence: 99%

Location Optimization of Wind Plants Using DEA and Fuzzy Multi-Criteria Decision Making: A Case Study in Vietnam

2021

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“…The four-dimensional risk analysis framework is shown in Figure 3. The model determines the comprehensive evaluation level according to the correlation degree between the research object and the different evaluation levels preset in the model [51,52]. However, the traditional model adopts approximate processing when determining the evaluation grade through the correlation degree, which may ignore the information of some matter elements to be evaluated and affect the accuracy of evaluation results.…”

Section: Variable Weight Methodmentioning

confidence: 99%

Constructing a Risk Assessment Framework for Building Integrated Photovoltaic (BIPV) Projects from the Perspective of Four‐Dimensional Risk

Zhou

Gao

2022

Journal of Mathematics

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Building photovoltaic integration (BIPV) technology can effectively solve the urban energy shortage, environmental damage, and other environmental problems, which is of great significance to the sustainable development of the urban. However, the practical application of BIPV technology has been very slow, and BIPV projects have encountered numerous obstacles and risks in the process of promotion and construction. Although some researchers have conducted qualitative studies on these obstacles and risks, systematic risk assessment methods for BIPV projects are missing. This study aims to systematically develop a framework to assess the risk of BIPV projects to address this gap. First, a comprehensive risk indicator system is established using literature analysis and expert interview methods. Second, DEMATEL (decision-making trial and evaluation laboratory) is used to calculate constant rights. Then, the risk assessment is carried out from the perspective of four-dimensional risk including severity, possibility, urgency, and uncontrollability. The variable weight theory is used to calculate variable weight. The data fusion and risk level determination are realized by the matter-element extension model. Finally, a case study is conducted to verify the feasibility and applicability of the BIPV project risk assessment framework. The results show that the comprehensive risk grade of the BIPV project in Qingdao is III, which belongs to medium risk. In addition, some suggestions are made based on the evaluation results. This study can enrich the methods in the field of risk assessment, and the results can provide a valuable reference for BIPV project investors and decision-makers.

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“…The matter-element extension model is based on both matter-element theory and extension set theory [39][40][41][42]. By establishing classical domain, node domain, and evaluation grade, the correlation degree of each evaluation grade corresponding to the matter element is calculated according to the original data collected, and the grade of the evaluation object is determined accordingly.…”

Section: Methodology and Data Processmentioning

confidence: 99%

“…Therefore, this paper employed an improved matter-element extension model to assess the service level of electric vehicle charging stations. Tan et al used ideal matter-element extension and grey cluster model to evaluate the site selection of wind farms from the perspectives of economy, society, and environment [39]. Dong et al applied an improved matter-element extension cloud model to evaluate the operation of the electricity market in Y province in May 2019 [40].…”

Section: Introductionmentioning

confidence: 99%

Service Evaluation of Electric Vehicle Charging Station: An Application of Improved Matter-Element Extension Method

2021

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To reach the targets of carbon peaking and neutral, China needs to develop electric vehicles extensively. The service level of electric vehicle charging stations (EVCSs) notably decides the promotion of electric vehicles. Given the current unsatisfactory service performance of charging stations, this paper established a multi-criteria evaluation system for the electric vehicle charging stations. We conducted a survey in 2020 by distributing questionnaires to experts and charging station users. Firstly, from the perspective of the subject and object of charging station service, the evaluation system of 16 indexes for operator service and customer service was constructed. Secondly, the order relation method and entropy weight method were used to determine the subjective weight and objective weight of the indexes, respectively. It was concluded that charging price and parking cost have a great influence on the service evaluation. Then, a comprehensive evaluation model based on the improved matter-element extension method was established to appraise three charging stations in Beijing. Sensitive analysis and comparative analysis were implemented to further demonstrate the effectiveness and stability of the proposed evaluation method. Finally, the evaluation results provided implications for improving the charging service performance.

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Comprehensive evaluation model of wind farm site selection based on ideal matter element and grey clustering

Cited by 42 publications

References 7 publications

Location Optimization of Wind Plants Using DEA and Fuzzy Multi-Criteria Decision Making: A Case Study in Vietnam

Location Optimization of Wind Plants Using DEA and Fuzzy Multi-Criteria Decision Making: A Case Study in Vietnam

Constructing a Risk Assessment Framework for Building Integrated Photovoltaic (BIPV) Projects from the Perspective of Four‐Dimensional Risk

Service Evaluation of Electric Vehicle Charging Station: An Application of Improved Matter-Element Extension Method

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