Comparative study of offshore wind energy potential assessment using different Weibull parameters estimation methods

Patidar, Harsh; Shende, Vikas; Baredar, Prashant; Soni, Archana

doi:10.1007/s11356-022-19109-x

Cited by 26 publications

(7 citation statements)

References 53 publications

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“…Among the methods for determining the weight of sustainability evaluation, it mainly includes the analytic hierarchy process and the order relation method [31] for subjectively determining the weight of evaluation indexes, and the coefficient of variation method [32] for making full use of the objective information of data to determine the evaluation indexes. In order to effectively avoid the disadvantage that the order relation method or the coefficient of variation method cannot reflect the objective data information or the subjective intention of decision-making.…”

Section: The Mixed-cross Weighting Methods Based On the Coefficient O...mentioning

confidence: 99%

Study on Sustainability Evaluation and Analysis for Offshore Wind Power Projects Oriented Low-carbon

Wang¹,

Guo²,

Tan³

2022

Pol. J. Environ. Stud.

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With the stability, high power generation and low environmental impact of offshore wind resources, offshore wind power is being used as the core power supply to promote the development of global low-carbon economy in the future. Firstly, combined with the characteristics of offshore wind power projects, this paper establishes a reasonable sustainability evaluation system from economy, reliability, environmental protection and safety. Then, in this paper, the mixed-cross weighting based on the coefficient of variation method-order relation method is constructed to determine the weight of project sustainability evaluation indexes. Finally, the function interval and form of the common origin gray clustering evaluation method are modified to determine the sustainability level of the projects. In order to verify the scientificity of the sustainability indexes and the accuracy of the evaluation model, combined with the case background of S offshore wind power project in J Province, the results show that the index that has the greatest impact on the sustainability of offshore wind power is the group participation of projects. At the same time, the improved evaluation method overcomes the problems of the inaccuracy of the rate change of the gray-crossing and membership degree of the common origin gray clustering function and makes the evaluation results more reasonable and authentic. This paper provides a reference for the investment decision of the offshore wind power project to be constructed.

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Section: The Mixed-cross Weighting Methods Based On the Coefficient O...mentioning

confidence: 99%

Study on Sustainability Evaluation and Analysis for Offshore Wind Power Projects Oriented Low-carbon

Wang¹,

Guo²,

Tan³

2022

Pol. J. Environ. Stud.

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“…The Weibull distribution function (Eq(1)) depends mainly on two parameters; shape function (k) (Eq (2)) and scale function (c) (Eq (3)) [24].…”

Section: Analysis Proceduresmentioning

confidence: 99%

Assessing the wind energy potential in provinces of West Java, Papua, and East Borneo in Indonesia

Wijanarko¹,

Didane²,

Wijianto³

et al. 2022

J Appl Eng Science

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Due to technological advancements and environmental concerns, wind power generation using wind turbines has increased significantly in recent years. In the current study, meteorological data over five years (2015 – 2019) have been used in order to estimate the Weibull distribution function, wind power, and energy density for ten meteorological stations in three provinces. Monthly and yearly wind speed variations are analyzed. The results demonstrated that the values of the shape and scale parameters are varied over a wide range for each site. Moreover, the results illustrated that the highest wind power potential occurs at Jayawijaya city with a potential of 36.23 w/m2. On the other hand, results showed that the monthly wind speed varies in a large range in each site. In the Jayawijaya city, for example, it ranged between 2.27 and 2.9 m/s, whereas in the Bogor Regency it ranged between 0.58 and 0.25 m/s. According to the predicted yearly power and energy densities, the evaluated sites are appropriate for small-scale power generation.

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“…Furthermore, to combat this rising energy demand and reduce greenhouse gas emissions, the world at large is focused towards exploring and exploiting Renewable Energy (RE) sources (El Khchine et al, 2019). The renewables being considered include wind, solar, biomass, biogas and geothermal biofuel (Ajayi et al, 2013;Patidar et al, 2022). Nonetheless, despite all efforts, fossil fuels still lead globally harnessed energy, most notably coal, natural gas and oil (Adem C xakmakc xı and Hu¨ner, 2022;Sumair et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…More energy is required as the world population increases (Emenuvwe et al, 2022). Improved economy, technological advancement and industrialisation are other contributing factors to the increase in global energy needs (Emenuvwe et al, 2022; Patidar et al, 2022). This is caused by the dependence of all human activities on one form of energy or another (Otuagoma, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Amongst RE sources, wind energy is suggested to be the ‘fastest-growing, most popular and second largest’ renewable energy (Delina, 2022; Düzcan and Kara, 2021; Juan et al, 2022; Patidar et al, 2022; Wu et al, 2013). According to authors there remains high interest and investment in wind energy projects across the world (Jung and Schindler 2020; Paraschiv et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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Nigerian wind energy status

Akporhonor,

Otuagoma,

Akporhonor

2023

Wind Engineering

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This review paper evaluates the current status of the Nigeria wind energy sector to identify the available Wind Energy Potential, Installed Wind Energy Capacity and Renewable Energy Policies in a bid to provide accurate information to aid the exploration and exploitation of wind energy across Nigeria. Consequently, the huge expanse between the wind energy Potential across Cities in Nigeria, the poor numbers of installed wind capacity and Nigeria’s Renewable Energy policies show low interest in Wind Energy in comparison to other RE sources. All this calls for further investment in the Nigerian wind energy sector

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Comparative study of offshore wind energy potential assessment using different Weibull parameters estimation methods

Cited by 26 publications

References 53 publications

Study on Sustainability Evaluation and Analysis for Offshore Wind Power Projects Oriented Low-carbon

Study on Sustainability Evaluation and Analysis for Offshore Wind Power Projects Oriented Low-carbon

Assessing the wind energy potential in provinces of West Java, Papua, and East Borneo in Indonesia

Nigerian wind energy status

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