Market Suitability and Performance Tradeoffs Offered by Commercial Wind Turbines across Differing Wind Regimes

Chowdhury, Souma; Mehmani, Ali; Zhang, Jie; Messac, Achille

doi:10.3390/en9050352

Cited by 11 publications

(10 citation statements)

References 36 publications

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“…Montoya et al [51] proposed Pareto ranking-based genetic algorithms to get the best turbines considering power output and deviation in daily power output as the decision criteria. Chowdhury et al [52] assumed optimization of cost of energy as the turbine selection criterion, while assuming 121 different turbine types. However, one issue with their proposed selection approach was its computational complexity.…”

Section: Approaches For Turbine Selection Problemmentioning

confidence: 99%

“…Despite this, such approaches have been frequently used in the turbine selection problems [46,[48][49][50][51][52][53][54][55][56][57][59][60][61]64]. (5) Failure to account for impact of changing hub height on cost and production.…”

Section: Novelty and Contribution Of The Proposed Approachmentioning

confidence: 99%

“…Majority of reviewed research [47][48][49][50][52][53][54][55]58] has been limited to using one decision criterion for the turbine selection process, which introduces limitations in the decision process. (2) Decision parameters that cannot be known by the developer.…”

Section: Novelty and Contribution Of The Proposed Approachmentioning

confidence: 99%

See 2 more Smart Citations

Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia

Rehman

Khan

2016

Energies

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Abstract:The emergence of wind energy as a potential alternative to traditional sources of fuel has prompted notable research in recent years. One primary factor contributing to efficient utilization of wind energy from a wind farm is the type of turbines used. However, selection of a specific wind turbine type is a difficult task due to several criteria involved in the selection process. Important criteria include turbine's power rating, height of tower, energy output, rotor diameter, cut-in wind speed, and rated wind speed. The complexity of this selection process is further amplified by the presence of conflicts between the decision criteria. Therefore, a decision is desired that provides the best balance between all selection criteria. Considering the complexities involved in the decision-making process, this paper proposes a two-level decision turbine selection strategy based on fuzzy logic and multi-criteria decision-making (MCDM) approach. More specifically, the fuzzy arithmetic mean operator is used in the decision process. The proposed approach is applied to wind data collected from the site of Qassim, Saudi Arabia. Results indicate that the proposed approach was effective in finding the optimal turbine from a set of 20 turbines of various capacities.

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Section: Approaches For Turbine Selection Problemmentioning

confidence: 99%

Section: Novelty and Contribution Of The Proposed Approachmentioning

confidence: 99%

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Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia

Rehman

Khan

2016

Energies

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“…The wind turbine technology is one of the most emerging renewable energy technologies. In recent years, significant progress has been made in building various-scale wind turbines for electricity generation [22,23]. The small-scale wind turbines are used for charging batteries or to power traffic warning signs.…”

Section: Wind Turbine Technologymentioning

confidence: 99%

Determination of the Most Suitable Technology Transfer Strategy for Wind Turbines Using an Integrated AHP-TOPSIS Decision Model

Dinmohammadi

Shafiee

2017

Energies

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Abstract:The high-speed development of industrial products and goods in the world has caused "technology" to be considered as a crucial competitive advantage for most large organizations. In recent years, developing countries have considerably tended to promote their technological and innovative capabilities through importing high-tech equipment owned and operated by developed countries. There are currently a variety of solutions to transfer a particular technology from a developed country. The selection of the most profitable technology transfer strategy is a very complex decision-making problem for technology importers as it involves different technical, environmental, social, and economic aspects. In this study, a hybrid multiple-criteria decision making (MCDM) model based on the analytic hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) is proposed to evaluate and prioritise various technology transfer strategies for wind turbine systems. For this purpose, a number of criteria and sub-criteria are defined from the viewpoint of wind energy investors, wind turbine manufacturers, and wind farm operators. The relative importance of criteria and sub-criteria with respect to the ultimate goal are computed using the eigenvalue method and then, the technology transfer alternatives are ranked based on their relative closeness to the ideal solution. The model is finally applied to determine the most suitable wind turbine technology transfer strategy among four options of reverse engineering, technology skills training, turn-key contracts, and technology licensing for the renewable energy sector of Iran, and the results are compared with those obtained by classical decision-making models.Keywords: technology transfer; wind turbine; design and manufacture; multiple-criteria decision making (MCDM); analytic hierarchy process (AHP); technique for order of preference by similarity to ideal solution (TOPSIS)

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“…Their decision model considered power output and deviation in daily power output as the selection criteria. In an approach proposed by Chowdhury [15], more than 120 turbine types were considered while using cost of energy as the turbine selection criterion. Martin [16] assumed a hypothetical wind turbine to optimize the rotor-to-generator ratio and developed a simple support tool considering numerous wind conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-Criteria Wind Turbine Selection using Weighted Sum Approach

Rehman¹,

Khan²

2017

ijacsa

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Wind energy is becoming a potential source for renewable and clean energy. An important factor that contributes to efficient generation of wind power is the use of appropriate wind turbine. However, the task of selecting an appropriate, site-specific turbine is a complex problem. The complexity is due to the presence of several conflicting decision criteria in the decision process. Therefore, a decision is sought such that best tradeoff is achieved between the selection criteria. With the inherent complexities encompassing the decisionmaking process, this study develops a multi-criteria decision model for turbine selection based on the concepts of weighted sum approach. Results indicate that the proposed methodology for finding the most suitable turbine from a pool of 18 turbines is effective.

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Market Suitability and Performance Tradeoffs Offered by Commercial Wind Turbines across Differing Wind Regimes

Cited by 11 publications

References 36 publications

Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia

Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia

Determination of the Most Suitable Technology Transfer Strategy for Wind Turbines Using an Integrated AHP-TOPSIS Decision Model

Multi-Criteria Wind Turbine Selection using Weighted Sum Approach

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