Optimal site matching of wind turbine generator: Case study of the Gulf of Suez region in Egypt

EL-Shimy, M.

doi:10.1016/j.renene.2009.12.013

Cited by 74 publications

(39 citation statements)

References 11 publications

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“…Furthermore, only six commercially available turbines were considered in the study. El-Shimy [59] proposed a site-specific turbine selection approach while considering capacity factor, normalized average power output, and turbine-performance-index. One drawback of the approach was its complexity and subjectivity in the sense that the results required in-depth interpretations by a domain expert and the interpretations could vary from person to person.…”

Section: Approaches For Turbine Selection Problemmentioning

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%

“…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%

“…(6) Conflict and incommensurability of criteria. While a number of studies [45,46,51,[55][56][57][59][60][61][62]64] have assumed multiple criteria for selection of the best turbine type, all of them have missed the two fundamental aspects of MCDM. These aspects are known as conflict between criteria and incommensurability.…”

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%

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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“…Jowder (2009) presented the statistical study of wind speed and power at various heights. EL-Shimy (2010) studied the problem of site matching of wind turbine generator through improved formulation of capacity factor. Wan (2011, 2012) determined a modular approach to enhance capacity factor computation of wind turbine generators.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Weibull parameters computation methods and analytical estimation of wind turbine capacity factor using polynomial power curve model: case study of a wind farm

Saxena

Rao

2015

Renewables

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Introduction: Wind speed probability at a site has to be modeled for evaluating the energy generation potential of a wind farm. Analytical computation of wind turbine capacity factor at the planning stage of a wind farm is very crucial. Thus, the comparison of Weibull parameters estimation methods and computation of wind turbine capacity factor are the focus of this paper. Case description: Soda wind farm used in this case study is located in the Jaisalmer district of western Rajasthan in India. Modeling of wind speed probability and power curve of wind turbines installed at Soda site were done for analytically estimating the capacity factor of wind turbine. Estimated capacity factors were then compared with the measured values of wind farm for validation of results. Discussion and evaluation: Four numerical methods namely graphical, empirical, modified maximum likelihood, and energy pattern factor were used for month-wise Weibull parameters estimation at hub height of 65 m. Power curve of the wind turbine installed at site was modeled using eighth-degree polynomial. Coefficients of polynomial were calculated from the combined use of linear least square method and QR decomposition using Gram-Schmidt orthogonalization method. Conclusions: Results show that the percentage error in annual capacity factor estimation using Weibull parameters estimated from graphical, empirical, modified maximum likelihood, and energy pattern factor methods were +9.98%, −1.59%, −1.22%, and −1.29%, respectively. Annual capacity factor that was estimated using the Weibull parameters calculated from modified maximum likelihood method matched best with the measured values. Graphical method gave the most erroneous results.

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Wind energy literature survey no. 18

Henriksen¹

2010

Wind Energy

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Optimal site matching of wind turbine generator: Case study of the Gulf of Suez region in Egypt

Cited by 74 publications

References 11 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

Comparison of Weibull parameters computation methods and analytical estimation of wind turbine capacity factor using polynomial power curve model: case study of a wind farm

Wind energy literature survey no. 18

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