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Probabilistic modelling of hybrid solar/wind power system with solar tracking system

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  • Tina, Giuseppe Marco
  • Gagliano, Salvina

Abstract

This paper presents a probabilistic model applied to a hybrid solar-wind power system (HSWPS), which is equipped with either a one-axis or a two-axis solar tracking system.

Suggested Citation

  • Tina, Giuseppe Marco & Gagliano, Salvina, 2011. "Probabilistic modelling of hybrid solar/wind power system with solar tracking system," Renewable Energy, Elsevier, vol. 36(6), pages 1719-1727.
  • Handle: RePEc:eee:renene:v:36:y:2011:i:6:p:1719-1727
    DOI: 10.1016/j.renene.2010.12.001
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    References listed on IDEAS

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    1. Sayigh, Ali, 1999. "Renewable energy -- the way forward," Applied Energy, Elsevier, vol. 64(1-4), pages 15-30, September.
    2. Habib, M.A & Said, S.A.M & El-Hadidy, M.A & Al-Zaharna, I, 1999. "Optimization procedure of a hybrid photovoltaic wind energy system," Energy, Elsevier, vol. 24(11), pages 919-929.
    3. Nema, Pragya & Nema, R.K. & Rangnekar, Saroj, 2009. "A current and future state of art development of hybrid energy system using wind and PV-solar: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2096-2103, October.
    4. Kacira, Murat & Simsek, Mehmet & Babur, Yunus & Demirkol, Sedat, 2004. "Determining optimum tilt angles and orientations of photovoltaic panels in Sanliurfa, Turkey," Renewable Energy, Elsevier, vol. 29(8), pages 1265-1275.
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    Cited by:

    1. Ayop, Razman & Isa, Normazlina Mat & Tan, Chee Wei, 2018. "Components sizing of photovoltaic stand-alone system based on loss of power supply probability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2731-2743.
    2. Muhammad Salman Sami & Muhammad Abrar & Rizwan Akram & Muhammad Majid Hussain & Mian Hammad Nazir & Muhammad Saad Khan & Safdar Raza, 2021. "Energy Management of Microgrids for Smart Cities: A Review," Energies, MDPI, vol. 14(18), pages 1-18, September.
    3. Maatallah, Taher & El Alimi, Souheil & Nassrallah, Sassi Ben, 2011. "Performance modeling and investigation of fixed, single and dual-axis tracking photovoltaic panel in Monastir city, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 4053-4066.
    4. Julia Schulz & Daniel Leinmüller & Adam Misik & Michael F. Zaeh, 2021. "Renewable On-Site Power Generation for Manufacturing Companies—Technologies, Modeling, and Dimensioning," Sustainability, MDPI, vol. 13(7), pages 1-27, April.
    5. Carlo Bianca, 2022. "On the Modeling of Energy-Multisource Networks by the Thermostatted Kinetic Theory Approach: A Review with Research Perspectives," Energies, MDPI, vol. 15(21), pages 1-22, October.
    6. Saxena, Vivek & Kumar, Narendra & Manna, Saibal & Rajput, Saurabh Kumar & Agarwal, Kusum Lata & Diwania, Sourav & Gupta, Varun, 2025. "Modelling, solution and application of optimization techniques in HRES: From conventional to artificial intelligence," Applied Energy, Elsevier, vol. 380(C).
    7. Tina, Giuseppe Marco & Gagliano, Salvina & Graditi, Giorgio & Merola, Angelo, 2012. "Experimental validation of a probabilistic model for estimating the double axis PV tracking energy production," Applied Energy, Elsevier, vol. 97(C), pages 990-998.
    8. Mahesh, Aeidapu & Sandhu, Kanwarjit Singh, 2015. "Hybrid wind/photovoltaic energy system developments: Critical review and findings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1135-1147.
    9. Dufo-López, Rodolfo & Cristóbal-Monreal, Iván R. & Yusta, José M., 2016. "Stochastic-heuristic methodology for the optimisation of components and control variables of PV-wind-diesel-battery stand-alone systems," Renewable Energy, Elsevier, vol. 99(C), pages 919-935.
    10. Hafez, A.Z. & Yousef, A.M. & Harag, N.M., 2018. "Solar tracking systems: Technologies and trackers drive types – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 754-782.
    11. Thirunavukkarasu, M. & Sawle, Yashwant & Lala, Himadri, 2023. "A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).

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