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Abstract: China, one of the global biggest emitter of CO2, needs promotion renewable energy to reduce air pollution from its surging fossil fuel use, and to increase its energy supply security. Renewable energy in its infancy needs policy support and market cultivation. Wind power installed capacity has boomed in recent year in China, as a series of effective support policies were adopted. In this paper, I review the main renewable energy policies regarding to China''s wind power, including the Wind Power Concession Program, Renewable Energy Law, and a couple of additional laws and regulations. Such policies have effectively reduced the cost of wind power installed capacity, stimulated the localization of wind power manufacture, and driven the company investment in wind power. China is success in wind power installed capacity, however, success in wind-generated electricity has yet achieved, mainly due to the backward grid system and lack of quota system. The paper ends with the recommended best practice of the China''s wind power installed capacity might be transferable to China''s photovoltaic power generation. [Copyright &y& Elsevier]

In order to mitigate global climate change and air pollution, the Chinese government has assigned high priority to expanding low-carbon power generation in China. Recent studies have shown that wind power is one of the most promising renewable energy option in China. Although many studies have estimated the generation potential of onshore wind power, their results vary widely from 1783 TWh to 39,000 TWh. Therefore, we examine the different assumptions in these papers and identify three main factors influencing the results. The three influencing factors are: weather data set, land utilisation factor, and wind turbine configuration. For our model-based analysis, we define a reference scenario which is used to compare the results. Our analysis shows using a different weather data set increases the generation potential to roughly 35,000 TWh. This is 54% higher than the generation potential of the reference scenario. The land utilisation factor also has a large influence, ranging between −10% and −51%. The studies' assumptions and data should be subjected to careful scrutiny, as the calculated wind power potentials are widely used to develop decarbonisation strategies for the energy system. • Study results on wind power potentials in China vary from 1783 TWh to 39,000 TWh • Influencing factors: weather data set, land utilisation, and wind turbine configuration. • Model-based sensitivity analysis with nine scenario settings. • Chosen weather data set has the highest impact on the calculated results with a variation of 54%. [ABSTRACT FROM AUTHOR]