Decision support tools for wind and solar farm site selection in Isfahan Province, Iran

Barzehkar, Mojtaba; Parnell, Kevin E.; Dinan, Naghmeh Mobarghaee; Brodie, Graham

doi:10.1007/s10098-020-01978-w

Cited by 39 publications

(16 citation statements)

References 35 publications

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“…A second benefit of classification in WiFSS studies is organizing one's analysis. Siting factors classified as environmental or technical often serve as constraints, such as limited development in protected wildlife areas [ 104 , 155 , 164 ], land that is too elevated or steep [ 79 , 140 , 142 ], or areas with insufficient wind speeds [ 123 , 139 , 178 ]. Similarly, economic siting factors like land leasing and maintenance costs are often incorporated into WiFSS models within a subset of equations that calculate cost competitiveness of candidate wind farm sites [ 122 , 165 , 177 , 200 , 214 ], hence their common classification.…”

Section: Results Fro M the Thematic Synthesismentioning

confidence: 99%

“…Acronyms for the listed MCDA methods: Analytic Hierarchy Process (AHP), Analytic Network Process (ANP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Multicriteria Optimization and Compromise Solution (VIKOR, in Bosnian), Ordered Weighted Averaging (OWA), Best-Worst Method (BWM), ELimination Et Choice Translating REality (ELECTRE, in French), Preference Ranking Organization Method of Enrichment Evaluation (PROMETHEE), Multicriteria Interactive Decision Making (TODIM, in Portuguese). MCDA Approach Study Context Data Type (Secondary/Primary) Weighting/Ranking Method References GIS-based Onshore Secondary AHP [ [46] , [74] , [75] , [78] , [79] , [80] , [82] , [83] , [94] , [104] , [122] , [123] , [124] , [125] , [126] , [127] , [128] , [129] , [130] , [131] , [132] , [133] , [134] , [135] , [136] , [137] , [138] , [139] , [140] , [141] , [142] , [143] , [144] , [145] , [146] , [147] , [148] ] ANP [ [149] , [150] , [151] ] …”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Standardizing the factors used in wind farm site suitability models: A review

Wimhurst

Nsude

Greene

2023

Heliyon

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Section: Results Fro M the Thematic Synthesismentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Standardizing the factors used in wind farm site suitability models: A review

Wimhurst

Nsude

Greene

2023

Heliyon

View full text Add to dashboard Cite

“…In recent years, decision support tools have been increasingly used in the field of environmental management (Walling and Vaneeckhaute, 2020;Wong-Parodi et al, 2020;Barzehkar et al, 2021). One of the main reasons being the need for a framework to support the meaningful integration of multiple stakeholders in the decision-making process (Wong-Parodi et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Multicriteria Decision Analysis to Assist in the Selection of Coastal Defence Measures: Involving Coastal Managers and Professionals in the Identification and Weighting of Criteria

2022

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Coastal socio-ecological systems are complex adaptive systems with nonlinear changing properties and multi-scale dynamics. They are influenced by unpredictable coastal hazards accentuated by the effects of climate change, and they can quickly be altered if critical thresholds are crossed. Additional pressures come from coastal activities and development, both of which attracting stakeholders with different perspectives and interests. While coastal defence measures (CDMs) have been implemented to mitigate coastal hazards for centuries, a lack of knowledge and tools available to make informed decision has led to coastal managers favouring the choice of seawalls or rock armours with little consideration for socio-ecological systems features, and stakeholders’ priorities. Though it is not currently widely applied in coastal zone management, multicriteria decision analysis (MCDA) is a tool that can be useful to facilitate decision making. PROMETHEE, an outranking method, was chosen to support the multicriteria decision analysis for the evaluation of CDMs in the context of four study sites characterized by distinct environmental features. The aim was to determine the relevance and benefits of a MCDA by integrating coastal zone stakeholders in a participatory decision-making process in order to select CDMs that are better adapted to the whole socio-ecological system. First, in a series of five workshops, stakeholders were asked to identify and weigh criteria that were relevant to their local conditions. Second and third, CDMs were evaluated in relation to each criterion within the local context, then, hierarchized. Initial results show that vegetation came first in three of the four sites, while rock armour ranked first in the fourth site. A post-evaluation of the participatory process indicated that the weighting phase is an effective way to integrate local knowledge into the decision-making process, but the identification of criteria could be streamlined by the presentation of a predefined list from which participants could make a selection. This would ensure criteria that are standardized, and in a format that is compatible with the MCDA. Coupled with a participatory process MCDA proved to be a flexible methodology that can synthetize multiple aspects of the problem, and contribute in a meaningful way to the coastal engineering and management decision-making process.

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“…Their AHP results indicated wind speed and distance from power lines as the most important criteria. According to their final results, almost 15% of the total area had the most potential for wind farm sites, which are mainly located in the province's northeast [82].…”

Section: Comparison With Similar Studiesmentioning

confidence: 99%

Multi-Criteria Decision-Making System for Wind Farm Site-Selection Using Geographic Information System (GIS): Case Study of Semnan Province, Iran

2022

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Selecting the best place for constructing a renewable power plant is a vital issue that can be considered a site-selection problem. Various factors are involved in selecting the best location for a renewable power plant. Therefore, it categorizes as a multi-criteria decision-making (MCDM) problem. In this study, the site selection of a wind power plant is investigated in a central province of Iran, Semnan. The main criteria for classifying various parts of the province were selected and pairwise compared using experts’ opinions in this field. Furthermore, multiple restrictions were applied according to local and constitutional rules and regulations. The Analytic Hierarchy Process (AHP) was used to weigh the criteria, and according to obtained weights, wind speed, and slope were the essential criteria. Moreover, a geographic information system (GIS) is used to apply the weighted criteria and restrictions. The province’s area is classified into nine classes according to the results. Based on the restrictions, 36.2% of the total area was unsuitable, mainly located in the north part of the province. Furthermore, 2.68% (2618 km2) and 4.98% (4857 km2) of the total area are the ninth and eightieth classes, respectively, which are the best locations for constructing a wind farm. The results show that, although the wind speed and slope are the most essential criteria, the distance from power facilities and communication routes has an extreme impact on the initial costs and final results. The results of this study are reliable and can help to develop the wind farm industry in the central part of Iran.

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Decision support tools for wind and solar farm site selection in Isfahan Province, Iran

Cited by 39 publications

References 35 publications

Standardizing the factors used in wind farm site suitability models: A review

Standardizing the factors used in wind farm site suitability models: A review

Multicriteria Decision Analysis to Assist in the Selection of Coastal Defence Measures: Involving Coastal Managers and Professionals in the Identification and Weighting of Criteria

Multi-Criteria Decision-Making System for Wind Farm Site-Selection Using Geographic Information System (GIS): Case Study of Semnan Province, Iran

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