Profitability of wind energy investments in China using a Monte Carlo approach for the treatment of uncertainties

作者: George Caralis , Danae Diakoulaki , Peijin Yang , Zhiqiu Gao , Arthouros Zervos

DOI: 10.1016/J.RSER.2014.07.189

关键词:

摘要: China is the global leader in terms of installed wind capacity. Further, wind energy development is expected for the next years and decades to meet the continuously …

参考文章(23)
J. Horalek, H. Gordijn, M. Piek, B.S. Petersen, R. Milego, G. Giebel, C. Coppens, M. Hoogwijk, E. de Visser, M. Harfoot, P. Kurfürst, J.J. Schrander, P. Ruyssenaars, M. Papalexandrou, P. de Smet, R.J. Swart, F.P. Jensen, N.E. Clausen, Europe's onshore and offshore wind energy potential : An assessment of environmental and economic constraints European Environment Agency. ,(2009) , 10.2800/11373
G MONTES, E MARTIN, Profitability of wind energy: Short-term risk factors and possible improvements Renewable & Sustainable Energy Reviews. ,vol. 11, pp. 2191- 2200 ,(2007) , 10.1016/J.RSER.2006.03.009
Yinghua Han, Ian Mays, Feasibility study of wind energy potential in China Renewable Energy. ,vol. 9, pp. 810- 814 ,(1996) , 10.1016/0960-1481(96)88406-0
Zeng Ming, Zhang Kun, Dong Jun, Overall review of China's wind power industry: Status quo, existing problems and perspective for future development Renewable & Sustainable Energy Reviews. ,vol. 24, pp. 379- 386 ,(2013) , 10.1016/J.RSER.2013.03.029
Mian Yang, Dalia Patiño-Echeverri, Fuxia Yang, Wind power generation in China: Understanding the mismatch between capacity and generation Renewable Energy. ,vol. 41, pp. 145- 151 ,(2012) , 10.1016/J.RENENE.2011.10.013
German Martinez Montes, Enrique Prados Martin, Javier Alegre Bayo, Javier Ordoñez Garcia, The applicability of computer simulation using Monte Carlo techniques in windfarm profitability analysis Renewable & Sustainable Energy Reviews. ,vol. 15, pp. 4746- 4755 ,(2011) , 10.1016/J.RSER.2011.07.078
George Mavrotas, Kostas Florios, Dimitra Vlachou, Energy planning of a hospital using Mathematical Programming and Monte Carlo simulation for dealing with uncertainty in the economic parameters Energy Conversion and Management. ,vol. 51, pp. 722- 731 ,(2010) , 10.1016/J.ENCONMAN.2009.10.029