Wind power generation via ground wind station and topographical feedforward neural network (T-FFNN) model for small-scale applications

Lawan, S. M.; Abidin, Wan Azlan Wan Zainal; Masri, T.; Chai, Wang Yin; Baharun, A.

doi:10.1016/j.jclepro.2016.11.157

Cited by 28 publications

(9 citation statements)

References 39 publications

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“…In such instances, computer simulations may help [6,7]. Indeed, not only are models being developed to predict horizontal wind speeds [8] but, in addition, the impact of climate change on the cost of wind energy is also being analysed [9].…”

Section: Introductionmentioning

confidence: 99%

Wind speed description and power density in northern Spain

Herrero-Novoa

Pérez

Sánchez

et al. 2017

Energy

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Wind resources are increasingly being investigated as a clean alternative for generating energy. This paper analyses the daily wind speed recorded at 46 automatic weather stations located in Navarre, northern Spain, in 2005e2015. Key points are the surface density of stations and the range of time that ensure a faithful depiction of wind speed together with surface calculations from image analysis and correlation with height. Different statistics were used. Median wind speed at 10 m was low, about 3.3 m s À1 and its interquartile range was narrow, about 2.3 m s À1. Nearly half the surface shows a median wind speed above 3.0 m s À1. The method of moments was employed to calculate the parameters of the Weibull distribution. Around half of the surface presented a shape parameter above 2.25 and the scale parameter was above 4 m s À1 for nearly 41% of the region. Although wind resources are not suitable for wind turbine applications in most of the region, since the wind speed is low in low-lying areas, about 12% of the region is suitable for stand-alone applications and, moreover, a substantial part of the region, around 23%, presents satisfactory wind resources for the installation of wind turbines.

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Section: Introductionmentioning

confidence: 99%

Wind speed description and power density in northern Spain

Herrero-Novoa

Pérez

Sánchez

et al. 2017

Energy

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“…Frequently used features include historical meteorological data [23], [24], [53], spatial information [54], real time mea-3 surements performed using wind farm sensors [55], and NWP [25] data.…”

Section: Related Workmentioning

confidence: 99%

“…Most power prediction methods in the literature are based on NWP or on historical power prediction data [23], [24]. Depending on the considered prediction horizon, these methods can predict power production at intervals ranging from extremely short-term (a few seconds) to relatively long-term (one day to one week).…”

Section: Introductionmentioning

confidence: 99%

A Decision Support System for Wind Power Production

Labati

Genovese

Piuri

et al. 2020

IEEE Trans. Syst. Man Cybern, Syst.

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Abstract-Renewable energy production is constantly growing worldwide, and some countries produce a relevant percentage of their daily electricity consumption through wind energy. Therefore, decision support systems that can make accurate predictions of wind-based power production are of paramount importance for traders operating in the energy market and for managers in charge of planning the non-renewable energy production. In this paper, we present a decision support system that can predict electric power production, estimate a variability index for the prediction, and analyze wind farm production characteristics. The main contribution of this paper is a novel system for long-term electric power prediction based solely on weather forecasts; thus, it is suitable for wind farms that cannot collect or manage real-time data acquired by sensors. Our system is based on neural networks and on novel techniques for calibrating and thresholding the weather forecasts based on the distinctive characteristics of wind farm orography. We tuned and evaluated the proposed system using data collected from two wind farms over a two-year period and achieved satisfactory results. We studied different feature sets, training strategies, and system configurations before implementing this system for a player in the energy market. This company evaluated the power production prediction performance and impact of our system at ten different wind farms under real-world conditions and achieved a significant improvement with respect to their previous approach.

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“…É realmente preocupante e constatado que uma pequena diferença de velocidade do vento levará a um erro significativo na produção de energia eólica. Desta maneira, a previsão da velocidade do vento é crucial para avaliar a eficiência da turbina eólica (LAWAN et al, 2017).…”

Section: Energia Eólicaunclassified

Geração de energia elétrica por meio de fontes de energias renováveis: uma revisão sistemática da literatura sobre energia eólica

2017

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O presente estudo tem como objetivo geral a realização de uma revisão da literatura sobre a geração de energia elétrica por meio de energia eólica, bem como ilustrar as principais vantagens e desvantagens de se gerar tal energia. As fontes renováveis de energia são aquelas inesgotáveis, pois são encontradas na natureza em grande quantidade ou que possuem a capacidade de regeneração por meios naturais. Denomina-se energia eólica a energia cinética contida nas massas de ar em movimento (vento). Seu aproveitamento ocorre por meio da conversão da energia cinética de translação em energia cinética de rotação, com o emprego de turbinas eólicas, também denominadas aerogeradores, para a geração de eletricidade. Assim conclui-se que os estudos sobre geração de energias renováveis, mais especificamente a geração de energia eólica pode se tornar uma alternativa rentável e bem menos impactante do ponto de vista ambiental. Além de ser uma fonte infinita de geração. PALAVRAS-CHAVE:Energia Elétrica. Fontes Renováveis. Energia Eólica.

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Wind power generation via ground wind station and topographical feedforward neural network (T-FFNN) model for small-scale applications

Cited by 28 publications

References 39 publications

Wind speed description and power density in northern Spain

Wind speed description and power density in northern Spain

A Decision Support System for Wind Power Production

Geração de energia elétrica por meio de fontes de energias renováveis: uma revisão sistemática da literatura sobre energia eólica

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