Optimal selection of wind turbine for a specific area

Nemes, Ciprian; Munteanu, Florin

doi:10.1109/optim.2010.5510577

Cited by 16 publications

(15 citation statements)

References 16 publications

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“…This was an interesting approach, but was computationally expensive due to the use of genetic algorithm. Nemes and Munteanu [47] presented an approach based on system reliability indices which was used to compare nine different wind turbine types. Chowdhury et al [48] carried out wind turbine selection based on a single criterion, energy production capacity, and particle swarm optimization algorithm was used as the underlying optimization algorithm.…”

Section: Approaches For Turbine Selection Problemmentioning

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%

“…(2) Decision parameters that cannot be known by the developer. Most research papers assumed decision parameters for which information is not easily accessible (i.e., blade shape, product reliability, production volume, availability factors, organization of maintenance, system reliability indices, environmental issues, visual impact, political stability, among many others) [45][46][47][48][49][53][54][55][56][57][58][59][60][61][62][63]. Such parameters result in the selection approach being very complex and impractical.…”

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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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%

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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“…Previous studies [1] [3][4] [28][29][30] compared turbines with different nominal powers, or did not specify even the turbine type [27]. In [28], only three different turbine types with different nominal powers (0.91 MW, 2 MW and 3 MW) were considered.…”

Section: Introductionmentioning

confidence: 99%

“…In [28], only three different turbine types with different nominal powers (0.91 MW, 2 MW and 3 MW) were considered. In [29], nine different turbines were considered. However, these were coming from four different manufacturers, and the turbines were of different nominal powers, ranging from 1.5 MW to 3 MW.…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Einstein Operator to Multi-Criteria Decision-Making for Selection of Wind Turbine Type with Nominal Power of 2000 K

Khan¹

2016

IJCNT

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Abstract:Wind energy has emerged as a potential alternative to traditional sources of fuel. One key factor that contributes to efficient harnessing of wind energy from a wind farm is the type of turbines used in that farm. However, selection of a specific wind turbine type is not a simple task due to several decision criteria, such as turbine's power rating, and height of tower on which a turbine is mounted, among others. This selection process is further complicated 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 presents a fuzzy logic based decision-making approach for selection of the most appropriate wind turbine for a specific wind farm using fuzzy Einstein operator. The proposed approach is applied to data collected from a potential site. Results indicate that the proposed approach was effective in finding the optimal turbine from a set of available turbines.

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Statistics and probability theory in renewable energy: Teaching and research

Eryılmaz

Kateri

Devrim

2023

Appl Stoch Models Bus & Ind

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In this paper, the key‐role and utility of statistics and probability theory in the field of renewable energy are emphasized and illustrated via specific examples. It is demonstrated that renewable energy is a very suitable field to effectively teach and implement many statistical and probabilistic concepts and techniques. From a research point of view, statistical and probabilistic methods have been successfully employed in evaluating renewable energy systems. These methods will continue to be of core interest for the renewable energy sector in the future, as new and more complex renewable energy systems are developed and installed. In this context, some future research directions in relation to the evaluation of renewable energy systems are also presented.

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Optimal selection of wind turbine for a specific area

Cited by 16 publications

References 16 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

Application of Fuzzy Einstein Operator to Multi-Criteria Decision-Making for Selection of Wind Turbine Type with Nominal Power of 2000 K

Statistics and probability theory in renewable energy: Teaching and research

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