Global status of wind power generation: theory, practice, and challenges

References

• Ahmed, M. A., F. Ahmed, and M. W. Akhtar. 2006. Assessment of wind power potential for coastal areas of Pakistan. Turkish Journal of Physics 30 (2):127–35.
   Google Scholar
• Akpinar, E. K., and S. Akpinar. 2005. An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristics. Energy Conversion and Management 46 (11–12):1848–67.
   Web of Science ®Google Scholar
• Al-Yahyai, S., Y. Charabi, and A. Gastli. 2010. Review of the use of numerical weather prediction (nwp) models for wind energy assessment. Renewable and Sustainable Energy Reviews 14 (9):3192–98.
   Web of Science ®Google Scholar
• Argyle, P., S. Watson, C. Montavon, I. Jones, and M. Smith. 2018. Modelling turbulence intensity within a large offshore wind farm. Wind Energy 21 (12):1329–43.
   Web of Science ®Google Scholar
• Arshad, M., and B. C. O‘Kelly. 2016. Analysis and design of monopile foundations for offshore wind-turbine structures. Marine Georesources & Geotechnology 34 (6):503–25.
   Web of Science ®Google Scholar
• Arshad, M., and B. C. O’Kelly. 2013. Offshore wind-turbine structures: A review. Proceedings of the Institution of Civil Engineers-Energy 166 (4):139–52.
   Web of Science ®Google Scholar
• Arshad, M., and B. C. O’Kelly 2018. Diagnosis of electricity crisis and scope of wind power in Pakistan. Proceedings of the Institution of Civil Engineers-Energy. 171(4): 158-170.
   Google Scholar
• AWEA (American Wind Energy Association). 2017. US wind industry annual market report year ending 2016. American Wind Energy Association, Washington, DC.
   Google Scholar
• Babcock and Brown Company. 2012. The future of offshore wind energy. Accessed December 2018. http://bluewaterwind.com.
   Google Scholar
• Baloch, M. H., G. S. Kaloi, and Z. A. Memon. 2016. Current scenario of the wind energy in Pakistan challenges and future perspectives: A case study. Energy Reports 2:201–10.
   Web of Science ®Google Scholar
• Bandi, M. M. 2017. Spectrum of wind power fluctuations. Physical Review Letters 118 (2):028301.
   PubMed Web of Science ®Google Scholar
• Banja, M., and M. Jégard. 2017. Renewable technologies in the EU electricity sector: trends and projections.
   Google Scholar
• Bardal, L., L. Sætran, and E. Wangsness. 2015. Performance test of a 3mw wind turbine – effects of shear and turbulence. Energy Procedia 80:83-91. doi:10.1016/j.egypro.2015.11.410.
   Google Scholar
• Blanco, M. I. 2009. The economics of wind energy. Renewable and Sustainable Energy Reviews 13 (6–7):1372–82.
   Web of Science ®Google Scholar
• BNEF (Bloomberg New Energy Finance). 2017. Frankfurt school-UNEP Centre/BNEF. 2017. Global Trends in Renewable Energy Investment 2017, Assessed April, 2018. http://www.fs-unep-centre.org (Frankfurt am Main)
   Google Scholar
• Cambell, M. 2008 .The drivers of the levelised cost of electricity for utility-scale photovoltaics. Accessed Feb, 2018. http://large.stanford.edu/courses/2010/ph240/vasudev1/docs/sunpower.pdf
   Google Scholar
• CEC (California Energy Commission). 2007. Renewable energy road map, renewable energies in the 21st century: building a more sustainable future. Accessed 2018. http://ec.europa.eu/energy/energy_policy/docrenewable_energy_roadmap_full_impact_assessment_en.pdf
   Google Scholar
• E.ON Climate & Renewables. 2011. Offshore Wind Energy Fact Book. Accessed December 2018. http://www.eon-einkauf.com/content/dam/eoncom/en/downloads/e/EON_Offshore_Wind_Factbook_en_December_2011.pdf (accessed 16/08/2018).
   Google Scholar
• De Vries, W. E. 2007. Assessment of bottom mounted support structure types with conventional design stiffness and installation techniques for typical deep water sites. Project Up Wind EU Contract No.: 019945 (SES6).
   Google Scholar
• DNV (Det Norske Veritas). 2014. Design of offshore wind turbine structures. Dnv-os-j101, dnv, Oslo, Norway
   Google Scholar
• ECN. 2011. Properties of the O&M cost estimator. energy research centre of the netherlands. Accessed March 2018. http://www.ecn.nl/docs/library/report/2011/e11045.pdf
   Google Scholar
• EWEA. 2009. Pure power wind energy targets for 2020 and 2030. Accessed March, 2018. www.ewea.org/fileadmin/ewea../Pure_Power_III.pdf
   Google Scholar
• EWEA. 2017. 2050: facilitating 50% wind energyrecommendations on transmission infrastructure, systemoperation and electricity market integration. Accessed March, 2018. http://www.ewea.org/fileadmin/files/library/publications/position-papers/EWEA_2050_50_wind_energy.pdf
   Google Scholar
• EWEA (European Wind Energy Association). 2011. Design Limits and Solutions for Very Large Wind Turbines. UpWind Project. 2011.
   Google Scholar
• Farooq, M. K., and S. Kumar. 2013. An assessment of renewable energy potential for electricity generation in Pakistan. Renewable and Sustainable Energy Reviews 20:240–54.
   Web of Science ®Google Scholar
• Feng, Y., P. J. Tavner, and H. Long. 2010. Early experiences with UK Round 1 offshore wind farms. Proceedings of the Institution of Civil Engineers: Energy. 163 (4):167–81.
   Google Scholar
• Fischer. 2011. Executive summary – upwind project. WP4: Offshore Foundations and Support Structures. 2011.
   Google Scholar
• Fuglsang, P., and K. Thomsen. 1998. Cost optimization of wind turbines for large-scale offshore wind farms. Roskilde: Forskningscenter Risø.
   Google Scholar
• Ganesan, S., and S. Ahmed. 2008. Assessment of wind energy potential using topographical and meteorological data of a site in central india (bhopal). International Journal of Sustainable Energy 27 (3):131–42.
   Google Scholar
• Ghafoor, A., T. Ur Rehman, A. Munir, M. Ahmad, and M. Iqbal. 2016. Current status and overview of renewable energy potential in Pakistan for continuous energy sustainability. Renewable and Sustainable Energy Reviews 60:1332–42.
   Web of Science ®Google Scholar
• GWEC. 2014. Global wind energy outlook. Global Wind Energy Council; 2014.
   Google Scholar
• GWEC. 2016 Global wind report – Annual market update. Global Wind Energy Council; 2011.
   Google Scholar
• GWEC. 2017. Global wind energy outlook 2016.
   Google Scholar
• GWEC (Global Wind Energy Council). 2018. Global Wind Statisitcs 2017.
   Google Scholar
• Hansen, K. S. (2006). Validation of sodar measurements for wind power. 2006 european wind energy conference and exhibition. European Wind Energy Association (EWEA), Greece, Athens.
   Google Scholar
• Haritos, N. 2007. Introduction to the analysis and design of offshore structures–An overview. Electronic Journal of Structural Engineering 7:55–65.
   Google Scholar
• IEA (International Energy Agency). 2013. Technology roadmap wind energy 2013.  Accessed December, 2018. https://www.iea.org/publications/freepublications/publication/Wind_2013_Roadmap.pdf
   Google Scholar
• IEA (International Energy Agency). 2008. Annual report. International Energy Agency 2009. Accessed March, 2018 http://www.ieawind.org/Annual_reports_PDF/2008/2008%20AR_small.pdf.
   Google Scholar
• IEA (International Energy Association). 2011. China wind energy development roadmap 2050. Accessed March, 2018 http://www.iea.org/publications/freepublications/publication/china_wind.pdf
   Google Scholar
• Industry Update, Y. F. H. Greater China: energy. Yuanta Financial Holdings; 2011. Accessed December, 2018. http://ipreo.YUANTA.com/NSightWeb_v2.00/Downloads/Files/29907.pdf)
   Google Scholar
• IRENA. 2017. Reneable Power Generation Cost 2017.
   Google Scholar
• IRENA. 2017a. Renewable energy and jobs: Annual Review.
   Google Scholar
• IRENA. 2018. Global landscape of renewable energy finance.
   Google Scholar
• IRENA(International Renewable Energy Agency). 2012. Renewable energy technologies: Cost analysis series.
   Google Scholar
• Jamasb, T. 2006. Between the state and market: Electricity sector reform in developing countries. Util Policy 14:14–30.
   Google Scholar
• Jamil, M., S. Parsa, and M. Majidi. 1995. Wind power statistics and an evaluation of wind energy density. Renewable Energy 6 (5–6):623–28.
   Web of Science ®Google Scholar
• Journe, J., and W. Massie. 2001. Offshore Hydrodynamic. Delft, the Netherlands: Delft University of Technology.
   Google Scholar
• Junginger, M., A. Faaij, and W. C. Turkenburg. 2004. Cost reduction prospects for offshore wind farms. Wind Engineering 28 (1):97–118.
   Google Scholar
• Kaldellis, J. K., and D. Zafirakis. 2011. The wind energy (r) evolution: A short review of a long history. Renewable Energy 36 (7):1887–901.
   Web of Science ®Google Scholar
• Kessides, I. N. 2013. Chaos in power: Pakistan’s electricity crisis. Energy Policy 55:271–85.
   Web of Science ®Google Scholar
• Kidmo, D. K., R. Danwe, S. Y. Doka, and N. Djongyang. 2015. Statistical analysis of wind speed distribution based on six Weibull Methods for wind power evaluation in Garoua, Cameroon. Revue des Energies Renouvelables 18 (1):105–25.
   Google Scholar
• Kooijman, H. J. T., M. de Noord, C. H. Volkers, L. A. H. Machielse, F. Hagg, P. J. Eecen, and S. A. Herman. 2001. Cost and potential of offshore wind energy on the Dutch part of the North Sea, 218–21. Copenhagen, DK: EWEC.
   Google Scholar
• Kost, C., J. N. Mayer, J. Thomsen, N. Hartmann, C. Senkpiel, S. Philipps, … T. Schlegl. 2018. Levelized cost of electricity renewable energy technologies. Fraunhofer Institute for Solar Energy Systems ISE.
   Google Scholar
• Maczulak, A. E. 2009. Renewable energy: Sources and methods. Info base Publishing, New York, NY.
   Google Scholar
• Malhotra, S. 2011. Design and construction considerations for offshore wind turbine foundations in North America. In Wind Turbines (Al-Bahadly I (ed.)). InTech, Rijeka, Croatia, pp. 231–264.
   Google Scholar
• Manwell, J. F., J. G. McGowan, and A. L. Rogers. 2010. Wind energy explained: Theory, design and application. New Jersey, NJ: John Wiley & Sons.
   Google Scholar
• Mengal, A., M. A. Uqaili, K. Harijan, and A. G. Memon. 2014. Competitiveness of wind power with the conventional thermal power plants using oil and natural gas as fuel in Pakistan. Energy Procedia 52:59–67.
   Google Scholar
• Morgan, E. C., M. Lackner, R. M. Vogel, and L. G. Baise. 2011. Probability distributions for offshore wind speeds. Energy Conversion and Management 52 (1):15–26.
   Web of Science ®Google Scholar
• Mousavi, S. M., M. B. Ghanbarabadi, and N. B. Moghadam. 2012. The competitiveness of wind power compared to existing methods of electricity generation in Iran. Energy Policy 42:651–56.
   Web of Science ®Google Scholar
• Qazi, U., M. Jahanzaib, W. Ahmad, and S. Hussain. 2017. An institutional framework for the development of sustainable and competitive power market in Pakistan. Renewable and Sustainable Energy Reviews 70:83–95.
   Web of Science ®Google Scholar
• Rauf, O., S. Wang, P. Yuan, and J. Tan. 2015. An overview of energy status and development in Pakistan. Renewable and Sustainable Energy Reviews 48:892–931.
   Web of Science ®Google Scholar
• Rehman, S., T. O. Halawani, and T. Husain. 1994. Weibull parameters for wind speed distribution in Saudi Arabia. Solar Energy 53 (6):473–79.
   Web of Science ®Google Scholar
• REN (Resolute Energy Corporation). 2017. 21 Renewables Global Status Report 2017.
   Google Scholar
• Roddy, D. J., Y. Yu, D. J. Dufton, and P. Thornley. 2009. Low-carbon energy solutions for an ecological island in China. Proceedings of the Institution of Civil Engineers-Energy 162 (2):85–95.
   Google Scholar
• Şahin, A. D. 2004. Progress and recent trends in wind energy. Progress in Energy and Combustion Science 30 (5):501–43.
   Web of Science ®Google Scholar
• Sheikh, M. A. 2010. Energy and renewable energy scenario of Pakistan. Renewable and Sustainable Energy Reviews 14 (1):354–63.
   Web of Science ®Google Scholar
• Siddique, S., and R. Wazir. 2016. A review of the wind power developments in Pakistan. Renewable and Sustainable Energy Reviews 57:351–61.
   Web of Science ®Google Scholar
• Singh, A., T. Jamasb, R. Nepal, and M. Toman. 2015. Cross-border electricity cooperation in South Asia. Policy Research paper No. 7328. Washington DC: The World Bank.
   Google Scholar
• Søren, K., M. Poul-Erik, and A. Shimon (2009).The economics of wind energy. European Wind Energy Association; 2009. Accessed March, 2018. http://www.windenergie.nl/sites/windenergie.nl/files/documents/the_economics_of_windenergy_ewea.pdf
   Google Scholar
• Stival, L. J., A. K. Guetter, and F. O. Andrade. 2017. The impact of wind shear and turbulence intensity on wind turbie power performance. Espaco Energia 27:11–20.
   Google Scholar
• Tempel, J.V., and D-P.. Molenaar. 2002. Wind turbine structural dynamics – a review of the principles for modern power generation, onshore and offshore. Onshore and Offshore. Wind Engineering 26 (2 4):211–220. doi:10.1260/030952402321039412.
   Google Scholar
• Tobin, N., and L. P. Chamorro. 2018. Turbulence coherence and its impact on wind-farm power fluctuations. Journal of Fluid Mechanics 855:1116–29.
   Web of Science ®Google Scholar
• Tong, W. 2010. Wind power generation and wind turbine design. Southampton, UK: WIT press.
   Google Scholar
• Tricklebank, A.H. 2008. Briefing: offshore wind energy – a challenge for uk civil engineering. Proceedings of the Institution of Civil Engineers – Energy 161(1): 3–6.
   Google Scholar
• True, AWS wind. 2010. New York’s Offshore Wind Energy Development Potential in the Great Lakes: Feasibility Study; 2010. Accessed December 2018. http://www.awstruepower.com/wp content/ media/2010/09/NYSERDA_AWST_NYGreatLakesFS.pdf.
   Google Scholar
• Victor, D. G. 2005. The effects of power sector reform on energy services for the poor. New York: Department of Economic and Social Affairs, Division for Sustainable Devel- opment, The United Nations.
   Google Scholar
• Wentink. Final Report. 1976. Report no. NSF/RANN/SE/AER 74-0039/R-76/1, Geophysical Institute, University of Alaska. 1976.
   Google Scholar
• Wiser, R., K. Jenni, J. Seel, E. Baker, M. Hand, E. Lantz, and A. Smith. 2016. Expert elicitation survey on future wind energy costs. Nature Energy 1 (10):16135.
   Web of Science ®Google Scholar
• WWEA (2012). World wind energy report 2013. Bonn, Germany: World Wind Energy Association
   Google Scholar
• WWEA. 2015. Wind energy 2050 On the shape of near 100% RE grid A WWEA technical commitee report on grid integration. World Wind Energy Association; 2015.
   Google Scholar
• WWEA (World Wind Energy Association). 2016. World Wind Energy Association 2016.
   Google Scholar
• Zhou, K., N. Cherukuru, X. Sun, and R. Calhoun. 2018. Wind gust detection and impact prediction for wind turbines. Remote Sensing 10 (4):514.
   Web of Science ®Google Scholar