Macro-site selection of wind/solar hybrid power station based on ELECTRE-II

Dong, Jingcheng; Feng, Tiantian; Yang, Yisheng; Ma, Yu

doi:10.1016/j.rser.2014.04.005

Cited by 142 publications

(45 citation statements)

References 6 publications

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“…On the other hand, in [29] a decision model was constructed in order to select a location of an onshore wind farm. The problem of constructing a decision model for selecting an onshore wind farm location is also dealt with in [30], a hybrid farm in [31,32], and an offshore wind farm in [14]. GIS decision systems were proposed, among other things in [33][34][35][36][37][38].…”

Section: Literature Reviewmentioning

confidence: 99%

Inter-Criteria Dependencies-Based Decision Support in the Sustainable wind Energy Management

Ziemba

2019

Energies

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Decision problems related to the wind energy require considering many, often interrelated and dependent on each other, criteria. To solve such problems, decision systems based on Multi-Criteria Decision Analysis (MCDA) methods are usually used. Unfortunately, most methods assume independence between the criteria, therefore, their application in decision problems related to the wind energy is debatable. This paper presents the use of the Analytic Network Process (ANP) method to solve a decision problem consisting in selecting the location and design of a wind farm. The use of the ANP method allows capturing the complexity of the decision problem by taking into consideration dependencies between criteria. As part of the verification of the solution, the results of the ANP method were compared with those of the Analytic Hierarchy Process (AHP) method, which uses only hierarchical dependencies between criteria. The conducted verification showed that the inter-criteria dependencies may have a significant influence on the obtained solution. On the basis of the conducted sensitivity analysis and the research into robustness of the rankings to the rank reversal phenomenon, it has been found out that the ranking obtained with the use of the ANP is characterized by a higher quality than by means of the AHP.

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Section: Literature Reviewmentioning

confidence: 99%

Inter-Criteria Dependencies-Based Decision Support in the Sustainable wind Energy Management

Ziemba

2019

Energies

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“…As a result of the two correlations, the strong digraph and the weak digraph can be constructed. Implementing the iterative pruning procedure based on the two digraphs, it contains an upward ranking and a downward ranking, and the procedure can be described as follows [43].…”

Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

A Decision Model for Emergency Warehouse Location Based on a Novel Stochastic MCDA Method: Evidence from China

Feng

et al. 2017

Mathematical Problems in Engineering

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China is one of the disaster-prone countries in the world. Constructing a rapid and effective relief logistic system is important for disaster-responding at country level. Strategic prepositioning of emergency items, especially the decision of appropriate emergency warehouses location, has significant impacts on rapid disaster response to ensure sufficient relief supplies. The emergency warehouse location decision is a complex problem, where a wide variety of criteria need to be considered and the preference information of decision makers (DMs) may be imprecise or even absent. In this paper, we identify key effectiveness-oriented criteria used to evaluate the alternative emergency warehouse locations and make an attempt to propose a new multicriteria ranking method to solve the problem of inaccurate or uncertain weight information based on stochastic pairwise dominant relations and the pruning procedure of ELECTRE-II method. The proposed method extends the conventional ELECTRE-II method by incorporating inaccurate information and broadens its application to emergency warehouse location field. The feasibility and applicability of the proposed method are illustrated with a simulated example.

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“…ELECTRE III is a variant of the ELECTRE family and has been used to select a wind/solar hybrid power station [21] and for safety analysis in a road network [22].…”

Section: Electre IIImentioning

confidence: 99%

Robust Priority for Strategic Environmental Assessment with Incomplete Information Using Multi-Criteria Decision Making Analysis

Park

Kim

et al. 2015

Sustainability

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This study investigates how the priority rankings for dam construction sites vary with multi-criteria decision making (MCDM) techniques and generation approaches for incomplete information. Strategic environmental assessment (SEA) seeks to recommend sustainable dam construction sites based on their environmental and ecological impacts in a long-term plan for dam construction (LPDC) in South Korea. However, if specific information is missing, the SEA is less useful for choosing a dam construction site. In this study, we applied AHP, ELECTRE III, PROMETHEE II and Compromise Programming as MCDM techniques, and used binomial and uniform distributions to generate missing information. We considered five dam site selection situations and compared the results as they depended on both MCDM techniques and information generation methods. The binomial generation method showed the most obvious priorities. All MCDM techniques showed similar priorities in the dam site selection results except for ELECTREE III. The results demonstrate that selecting an appropriate MCDM technique is more important than the data generation method. However, using binomial distribution to generate missing information is more effective in providing a robust priority than uniform distribution, which is a commonly used technique.

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Macro-site selection of wind/solar hybrid power station based on ELECTRE-II

Cited by 142 publications

References 6 publications

Inter-Criteria Dependencies-Based Decision Support in the Sustainable wind Energy Management

Inter-Criteria Dependencies-Based Decision Support in the Sustainable wind Energy Management

A Decision Model for Emergency Warehouse Location Based on a Novel Stochastic MCDA Method: Evidence from China

Robust Priority for Strategic Environmental Assessment with Incomplete Information Using Multi-Criteria Decision Making Analysis

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