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Wind source potential assessment using Sentinel 1 satellite and a new forecasting model based on machine learning: A case study Sardinia islands

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  • Majidi Nezhad, M.
  • Heydari, A.
  • Groppi, D.
  • Cumo, F.
  • Astiaso Garcia, D.

Abstract

Mediterranean islands have the advantage of favourable climatic conditions to use different marine renewable energy sources. Remote sensing can provide data to determine wind energy production potential and observational activity to identify, assess and detect suitable points in large marine areas. In this paper, a new combined model has been developed to integrate wind speed assessment, mapping and forecasting using Sentinel 1 satellite data through images processing and Adaptive Neuro-Fuzzy Inference System and the Bat algorithm. Synthetic Aperture Radar (SAR) satellite images from the Sentinel 1 satellite have been used in order to detect offshore and nearshore wind potential. Particularly, Sentinel 1 images have been analysed by means of the SNAP software. Then, to extract data about wind speed and direction, a GIS software for mapping the wind climate has been used. This new methodology has been applied to the North-Central coasts of Sardinia Island and then focused on six main small islands of La Maddalena archipelago. Furthermore, ten Hot Spots (HSs) have been identified as interesting because of their high-energy potential and the possibility to be considered as sites for future implementation of Wind Turbine Generators (WTGs). Finally, the ten identified HS have been used as input data to train and test the proposed forecast model.

Suggested Citation

  • Majidi Nezhad, M. & Heydari, A. & Groppi, D. & Cumo, F. & Astiaso Garcia, D., 2020. "Wind source potential assessment using Sentinel 1 satellite and a new forecasting model based on machine learning: A case study Sardinia islands," Renewable Energy, Elsevier, vol. 155(C), pages 212-224.
    • Handle: RePEc:eee:renene:v:155:y:2020:i:c:p:212-224
    DOI: 10.1016/j.renene.2020.03.148
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    as
    1. Moreno, Sinvaldo Rodrigues & dos Santos Coelho, Leandro, 2018. "Wind speed forecasting approach based on Singular Spectrum Analysis and Adaptive Neuro Fuzzy Inference System," Renewable Energy, Elsevier, vol. 126(C), pages 736-754.
    2. Zanous, Sina Pasha & Shafaghat, Rouzbeh & Alamian, Rezvan & Shadloo, Mostafa Safdari & Khosravi, Mohammad, 2019. "Feasibility study of wave energy harvesting along the southern coast and islands of Iran," Renewable Energy, Elsevier, vol. 135(C), pages 502-514.
    3. Feng, Cong & Sun, Mucun & Cui, Mingjian & Chartan, Erol Kevin & Hodge, Bri-Mathias & Zhang, Jie, 2019. "Characterizing forecastability of wind sites in the United States," Renewable Energy, Elsevier, vol. 133(C), pages 1352-1365.
    4. Farshid Keynia & Azim Heydari, 2019. "A new short-term energy price forecasting method based on wavelet neural network," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 14(1), pages 1-14.
    5. Tiny Remmers & Fiona Cawkwell & Cian Desmond & Jimmy Murphy & Eirini Politi, 2019. "The Potential of Advanced Scatterometer (ASCAT) 12.5 km Coastal Observations for Offshore Wind Farm Site Selection in Irish Waters," Energies, MDPI, vol. 12(2), pages 1-16, January.
    6. Vincenzo Franzitta & Domenico Curto & Daniele Milone & Davide Rao, 2016. "Assessment of Renewable Sources for the Energy Consumption in Malta in the Mediterranean Sea," Energies, MDPI, vol. 9(12), pages 1-17, December.
    7. Wang, Yi-Hui & Walter, Ryan K. & White, Crow & Farr, Hayley & Ruttenberg, Benjamin I., 2019. "Assessment of surface wind datasets for estimating offshore wind energy along the Central California Coast," Renewable Energy, Elsevier, vol. 133(C), pages 343-353.
    8. Majidi Nezhad, M. & Groppi, D. & Marzialetti, P. & Fusilli, L. & Laneve, G. & Cumo, F. & Garcia, D. Astiaso, 2019. "Wind energy potential analysis using Sentinel-1 satellite: A review and a case study on Mediterranean islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 499-513.
    9. Selosse, Sandrine & Garabedian, Sabine & Ricci, Olivia & Maïzi, Nadia, 2018. "The renewable energy revolution of reunion island," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 99-105.
    10. Alkhalidi, Mohamad A. & Al-Dabbous, Shoug Kh. & Neelamani, S. & Aldashti, Hassan A., 2019. "Wind energy potential at coastal and offshore locations in the state of Kuwait," Renewable Energy, Elsevier, vol. 135(C), pages 529-539.
    11. Vicinanza, D. & Contestabile, P. & Ferrante, V., 2013. "Wave energy potential in the north-west of Sardinia (Italy)," Renewable Energy, Elsevier, vol. 50(C), pages 506-521.
    12. Rusu, Eugen, 2019. "A 30-year projection of the future wind energy resources in the coastal environment of the Black Sea," Renewable Energy, Elsevier, vol. 139(C), pages 228-234.
    13. Eugen Rusu & Florin Onea, 2017. "Joint Evaluation of the Wave and Offshore Wind Energy Resources in the Developing Countries," Energies, MDPI, vol. 10(11), pages 1-20, November.
    14. Khan, Komal S. & Tariq, Muhammad, 2018. "Wind resource assessment using SODAR and meteorological mast – A case study of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2443-2449.
    15. Rusu, Liliana, 2019. "The wave and wind power potential in the western Black Sea," Renewable Energy, Elsevier, vol. 139(C), pages 1146-1158.
    16. Carlo Lo Re & Giorgio Manno & Giuseppe Ciraolo & Giovanni Besio, 2019. "Wave Energy Assessment around the Aegadian Islands (Sicily)," Energies, MDPI, vol. 12(3), pages 1-20, January.
    17. Rusu, Eugen & Onea, Florin, 2019. "An assessment of the wind and wave power potential in the island environment," Energy, Elsevier, vol. 175(C), pages 830-846.
    18. Sigrist, L. & Lobato, E. & Rouco, L. & Gazzino, M. & Cantu, M., 2017. "Economic assessment of smart grid initiatives for island power systems," Applied Energy, Elsevier, vol. 189(C), pages 403-415.
    19. Ciulla, G. & D’Amico, A. & Di Dio, V. & Lo Brano, V., 2019. "Modelling and analysis of real-world wind turbine power curves: Assessing deviations from nominal curve by neural networks," Renewable Energy, Elsevier, vol. 140(C), pages 477-492.
    20. Sperling, Karl & Hvelplund, Frede & Mathiesen, Brian Vad, 2010. "Evaluation of wind power planning in Denmark – Towards an integrated perspective," Energy, Elsevier, vol. 35(12), pages 5443-5454.
    21. Fang, Hsin-Fa, 2014. "Wind energy potential assessment for the offshore areas of Taiwan west coast and Penghu Archipelago," Renewable Energy, Elsevier, vol. 67(C), pages 237-241.
    22. Soukissian, Takvor H. & Papadopoulos, Anastasios, 2015. "Effects of different wind data sources in offshore wind power assessment," Renewable Energy, Elsevier, vol. 77(C), pages 101-114.
    23. Olauson, Jon & Bergkvist, Mikael, 2015. "Modelling the Swedish wind power production using MERRA reanalysis data," Renewable Energy, Elsevier, vol. 76(C), pages 717-725.
    24. Cooperman, Aubryn & Martinez, Marcias, 2015. "Load monitoring for active control of wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 189-201.
    25. Daniel Ganea & Valentin Amortila & Elena Mereuta & Eugen Rusu, 2017. "A Joint Evaluation of the Wind and Wave Energy Resources Close to the Greek Islands," Sustainability, MDPI, vol. 9(6), pages 1-22, June.
    26. Rusu, Liliana, 2019. "Evaluation of the near future wave energy resources in the Black Sea under two climate scenarios," Renewable Energy, Elsevier, vol. 142(C), pages 137-146.
    27. Arun Kumar, Surisetty V.V. & Nagababu, Garlapati & Kumar, Raj, 2019. "Comparative study of offshore winds and wind energy production derived from multiple scatterometers and met buoys," Energy, Elsevier, vol. 185(C), pages 599-611.
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