IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v86y2009i11p2411-2420.html
   My bibliography  Save this item

Exergy analysis in a wind speed prognostic model as a wind farm sitting selection tool: A case study in Southern Greece

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Veisi, Amin Allah & Shafiei Mayam, Mohammad Hossein, 2017. "Effects of blade rotation direction in the wake region of two in-line turbines using Large Eddy Simulation," Applied Energy, Elsevier, vol. 197(C), pages 375-392.
  2. Xydis, G., 2012. "Development of an integrated methodology for the energy needs of a major urban city: The case study of Athens, Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6705-6716.
  3. Mohandes, M. & Rehman, S. & Rahman, S.M., 2011. "Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)," Applied Energy, Elsevier, vol. 88(11), pages 4024-4032.
  4. Celik, Ali N., 2011. "Review of Turkey's current energy status: A case study for wind energy potential of Çanakkale province," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2743-2749, August.
  5. Joselin Herbert, G.M. & Iniyan, S. & Amutha, D., 2014. "A review of technical issues on the development of wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 619-641.
  6. Kirchner-Bossi, N. & Prieto, L. & García-Herrera, R. & Carro-Calvo, L. & Salcedo-Sanz, S., 2013. "Multi-decadal variability in a centennial reconstruction of daily wind," Applied Energy, Elsevier, vol. 105(C), pages 30-46.
  7. Fadare, D.A., 2010. "The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria," Applied Energy, Elsevier, vol. 87(3), pages 934-942, March.
  8. Islam, M.R. & Saidur, R. & Rahim, N.A., 2011. "Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function," Energy, Elsevier, vol. 36(2), pages 985-992.
  9. Liu, Weiqi & Liu, Weixing & Zhang, Liang & Sheng, Qihu & Zhou, Binzhen, 2018. "A numerical model for wind turbine wakes based on the vortex filament method," Energy, Elsevier, vol. 157(C), pages 561-570.
  10. Zhao, Yongning & Ye, Lin & Li, Zhi & Song, Xuri & Lang, Yansheng & Su, Jian, 2016. "A novel bidirectional mechanism based on time series model for wind power forecasting," Applied Energy, Elsevier, vol. 177(C), pages 793-803.
  11. Fan, YaJun & Mu, AnLe & Ma, Tao, 2016. "Modeling and control of a hybrid wind-tidal turbine with hydraulic accumulator," Energy, Elsevier, vol. 112(C), pages 188-199.
  12. Li, Gong & Shi, Jing, 2010. "On comparing three artificial neural networks for wind speed forecasting," Applied Energy, Elsevier, vol. 87(7), pages 2313-2320, July.
  13. Fei Zhao & Yihan Gao & Tengyuan Wang & Jinsha Yuan & Xiaoxia Gao, 2020. "Experimental Study on Wake Evolution of a 1.5 MW Wind Turbine in a Complex Terrain Wind Farm Based on LiDAR Measurements," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
  14. Khanjari, Ali & Mahmoodi, Esmail & Ahmadi, Mohammad Hossien, 2020. "Energy and exergy analyzing of a wind turbine in free stream and wind tunnel in CFD domain based on actuator disc technique," Renewable Energy, Elsevier, vol. 160(C), pages 231-249.
  15. Liu, Heng-xu & Tian, Yi-nong & Liu, Wei-qi & Jin, Ye-qing & Kong, Fan-kai & Chen, Hai-long & Zhong, Yu-guang, 2023. "Aerodynamic interference characteristics of multiple unit wind turbine based on vortex filament wake model," Energy, Elsevier, vol. 268(C).
  16. Erdem, Ergin & Shi, Jing, 2011. "ARMA based approaches for forecasting the tuple of wind speed and direction," Applied Energy, Elsevier, vol. 88(4), pages 1405-1414, April.
  17. González-Longatt, Francisco & Medina, Humberto & Serrano González, Javier, 2015. "Spatial interpolation and orographic correction to estimate wind energy resource in Venezuela," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 1-16.
  18. Baskut, Omer & Ozgener, Leyla, 2012. "Exergoeconomic assessment of a wind turbine power plant (WTTP): Cesme, Izmir, example," Energy, Elsevier, vol. 47(1), pages 577-581.
  19. Hepbasli, Arif & Alsuhaibani, Zeyad, 2011. "Exergetic and exergoeconomic aspects of wind energy systems in achieving sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2810-2825, August.
  20. Xydis, G., 2012. "Effects of air psychrometrics on the exergetic efficiency of a wind farm at a coastal mountainous site – An experimental study," Energy, Elsevier, vol. 37(1), pages 632-638.
  21. Baskut, Omer & Ozgener, Onder & Ozgener, Leyla, 2011. "Second law analysis of wind turbine power plants: Cesme, Izmir example," Energy, Elsevier, vol. 36(5), pages 2535-2542.
  22. Akdag, Seyit Ahmet & Güler, Önder, 2010. "Evaluation of wind energy investment interest and electricity generation cost analysis for Turkey," Applied Energy, Elsevier, vol. 87(8), pages 2574-2580, August.
  23. Mostafaeipour, Ali & Jadidi, Mohsen & Mohammadi, Kasra & Sedaghat, Ahmad, 2014. "An analysis of wind energy potential and economic evaluation in Zahedan, Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 641-650.
  24. Mentis, Dimitrios & Hermann, Sebastian & Howells, Mark & Welsch, Manuel & Siyal, Shahid Hussain, 2015. "Assessing the technical wind energy potential in Africa a GIS-based approach," Renewable Energy, Elsevier, vol. 83(C), pages 110-125.
  25. Adekunle Osinowo & Xiaopei Lin & Dongliang Zhao & Zhifeng Wang, 2016. "Wind Energy Potentials and Its Trend in the South China Sea," Energy and Environment Research, Canadian Center of Science and Education, vol. 6(2), pages 1-36, December.
  26. Gao, Xiaoxia & Yang, Hongxing & Lu, Lin, 2016. "Optimization of wind turbine layout position in a wind farm using a newly-developed two-dimensional wake model," Applied Energy, Elsevier, vol. 174(C), pages 192-200.
  27. Maria Grazia De Giorgi & Stefano Campilongo & Antonio Ficarella & Paolo Maria Congedo, 2014. "Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM) and Artificial Neural Network (ANN)," Energies, MDPI, vol. 7(8), pages 1-22, August.
  28. De Giorgi, Maria Grazia & Ficarella, Antonio & Tarantino, Marco, 2011. "Error analysis of short term wind power prediction models," Applied Energy, Elsevier, vol. 88(4), pages 1298-1311, April.
  29. Chen, Kuilin & Yu, Jie, 2014. "Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approach," Applied Energy, Elsevier, vol. 113(C), pages 690-705.
  30. Arabatzis, Garyfallos & Kyriakopoulos, Grigorios & Tsialis, Panagiotis, 2017. "Typology of regional units based on RES plants: The case of Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1424-1434.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.