Assessment of wind energy resources using artificial neural networks – case study at Łódź Hills

Korupczyński, R.; Trajer, J.

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Tytuł artykułu

Assessment of wind energy resources using artificial neural networks – case study at Łódź Hills

Autorzy

Korupczyński R. , Trajer J.

Treść / Zawartość

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Abstrakty

The aim of this paper is to answer the question: Are the Łódź Hills useful for electrical energy production from wind energy or not? Due to access to short-term data related to wind measurements (the period of 2008 and 2009) from a local meteorological station, the measure – correlate – predict approach have been applied. Long-term (1979‒2016) reference data were obtained from ECWMF ERA-40 Reanalysis. Artificial neural networks were used to calculate predicted wind speed. The obtained average wind speed and wind power density was 4.21 ms–1 and 70 Wm–1, respectively, at 10 m above ground level (5.51 ms–1, 170 Wm–1 at 50 m). From the point of view of Polish wind conditions, Łódź Hills may be considered useful for wind power engineering.

Słowa kluczowe

wind speed artificial neural network wind resources measure-correlate-predict

prędkość wiatru sztuczna sieć neuronowa zasoby wiatru pomiar-korelacja-przewidywanie

Wydawca

Polska Akademia Nauk, Wydział IV Nauk Technicznych

Czasopismo

Bulletin of the Polish Academy of Sciences. Technical Sciences

Rocznik

2019

Tom

Vol. 67, nr 1

Strony

115--124

Opis fizyczny

Bibliogr. 46 poz., wykr., rys., tab.

Twórcy

autor

Korupczyński R.

rkorupcz@poczta.onet.pl

Electrotechnical Institute, Pożaryskiego St. 28, 04-703 Warsaw, Poland

autor

Trajer J.

Warsaw University of Life Sciences – SGGW, Faculty of Production Engineering, Nowoursynowska St. 164, 02-787 Warsaw, Poland

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).

Typ dokumentu

Bibliografia

Identyfikator YADDA

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