The Game of Guwarra: A game theory-based decision-making framework for site selection of offshore wind farms in Australia

Golestani, Nima; Arzaghi, Ehsan; Garaniya, Vikram; Abdussamie, Nagi; Yang, Ming

doi:10.1016/j.jclepro.2021.129358

Cited by 28 publications

(7 citation statements)

References 75 publications

(93 reference statements)

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“…It is the gross investment during the project construction stage, mainly including design, construction and completion costs. (Fetanat and Khorasaninejad 2015;Golestani et al, 2021) Payback period (B32) It mainly refers to the time required for the total revenue earned after the offshore wind power project is implemented to meet the total investment. (Kim et al, 2013;Salvador et al, 2022)…”

Section: Marine Life Coordination (B21)mentioning

confidence: 99%

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A study on offshore wind farm site selection based on CRITIC and CPT-TOPSIS: a case study of China

Zhao

Ge²,

Wang³

2022

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PurposeThis study aims to improve the offshore wind farm (OWF) site selection evaluation index system and establishes a decision-making model for OWF site selection. It is expected to provide helpful references for the progress of offshore wind power.Design/methodology/approachFirstly, this paper establishes an evaluation criteria system for OWF site selection, considering six criteria (wind resource, environment, economic, technical, social and risk) and related subcriteria. Then, the Criteria Importance Though Intercrieria Correlation (CRITIC) method is introduced to figure out the weights of evaluation indexes. In addition, the cumulative prospect theory and technique for order preference by similarity to an ideal solution (CPT-TOPSIS) method are employed to construct the OWF site selection decision-making model. Finally, taking the OWF site selection in China as an example, the effectiveness and robustness of the framework are verified by sensitivity analysis and comparative analysis.FindingsThis study establishes the OWF site selection evaluation system and constructs a decision-making model under the spherical fuzzy environment. A case of China is employed to verify the effectiveness and feasibility of the model.Originality/valueIn this paper, a new decision-making model is proposed for the first time, considering the ambiguity and uncertainty of information and the risk attitudes of decision-makers (DMs) in the decision-making process.

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Section: Marine Life Coordination (B21)mentioning

confidence: 99%

“…It is an important criterion for measuring project profitability, and investors take this criterion very seriously. (Konstantinos et al, 2019;Golestani et al, 2021) Technical factors (B4)…”

Section: Operation and Maintenance Cost (B33)mentioning

confidence: 99%

A study on offshore wind farm site selection based on CRITIC and CPT-TOPSIS: a case study of China

Zhao

Ge²,

Wang³

2022

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“…They analyzed wind turbine layout from the perspective of atmospheric boundary layer driving factors and site characteristics. Golestani [14] proposed a decision framework based on a game theory approach to determine the best location for installing offshore wind farms, while considering the relevant objectives of finance, performance, and availability.…”

Section: Introductionmentioning

confidence: 99%

Optimal Planning for Wind Turbines in Mega Seaports Considering Practical Application Constraints: A Case Study of Ningbo-Zhoushan Port

Zhang,

Jiang,

Ren

et al. 2024

JMSE

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In the context of global carbon neutrality, ports face significant electricity demand for cargo handling and pressure to reduce carbon emissions. The abundant wind energy resources in port areas make wind power highly promising for port applications. The optimal selection of site and turbine types for wind power systems can effectively reduce emissions in ports, achieving sustainability and improving economic benefits. The practical implementation of wind energy systems considering practical constraints holds significant research significance. Taking Ningbo-Zhoushan Port as an example, this paper analyzes the wind energy resources in the port area and provides an overview of wind power system construction sites. Based on the actual conditions of the port area, this paper comprehensively reviews the site selection of wind turbines from the perspectives of wind resources, specific climates, and noise impacts. With the consideration of engineering preferences, this paper selects performance indicators based on the four mainstream turbine models and proposes a comprehensive weight determination method using the entropy weight method and analytic hierarchy process (AHP) to determine the weights of the indicators. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is then employed to score and compare four turbine plans, enabling the turbine selection process to consider both engineering preferences and objectivity, thereby enhancing the accuracy and reliability of wind turbine planning and achieving significant ecological and economic benefits through benefit analysis.

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“…However, due to long construction period and complex operating environment, the site selection of offshore wind farm has always been the focus of its study. Existing studies on offshore wind farm site selection mostly consider economy, interest, local environment and other factors, to maximize the potential of offshore wind farms [4]- [6]. However, due to the limitation of water depth required for wind farm construction [5], offshore wind farm construction areas are mostly densely distributed areas of ship tracks, which are mostly distributed on both sides of the route.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Safe Distance Between Ship Routes and Offshore Wind Farm Based on Tolerable Collision Probability

et al. 2022

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With the continuous increase of offshore wind farms and other offshore regional buildings, the contradiction between them and the navigation safety in the densely distributed areas of offshore ship tracks is increasingly obvious. It is urgent to build a safe distance model based on the actual sea condition to reduce the mutual influence. Based on the drift distance of ships in the boundary water areas of the wind farm under the actual meteorological and hydrological conditions, as well as the tolerable collision probability, reliability model and the normal distribution trend of ships in the ship routes, and the probability model of safe distance between ship routes and wind farm is built in the end. Based on the example and the tolerable collision probability of ships, the safe distance is analyzed, the analysis results show that the calculation model can determine the safe distance according to the control requirements of the collision probability between the ship and the offshore wind farm. In addition, the collision probability and the safe distance obtained are basically consistent with the safe distance published by the local maritime authority in combination with the changes of the output results caused by the velocity difference of the ship. The model lays a theoretical foundation on offshore wind farm site selection optimization, route boundary demarcation, ship safety and maritime supervision.

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The Game of Guwarra: A game theory-based decision-making framework for site selection of offshore wind farms in Australia

Cited by 28 publications

References 75 publications

A study on offshore wind farm site selection based on CRITIC and CPT-TOPSIS: a case study of China

A study on offshore wind farm site selection based on CRITIC and CPT-TOPSIS: a case study of China

Optimal Planning for Wind Turbines in Mega Seaports Considering Practical Application Constraints: A Case Study of Ningbo-Zhoushan Port

Modeling of Safe Distance Between Ship Routes and Offshore Wind Farm Based on Tolerable Collision Probability

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