Abstract:Abstract. Among the renewable energies, wind energy has gained the rapidest development in China. Moreover wind power generation has been penetrated into power system in a large scale. However, the high level wind curtailment also indicates a low efficiency of wind energy utilization over the last decade in China. One of the primary constraints on the utilization of wind energy is the lack of an electricity market, in which renewable energies can compete equally with traditional fossil fuel generation. Thus th… Show more
“…The failures of the transmission system caused the loss of some 10 TWh of the wind electricity (i.e., 12% of the total generation in the analysed regions) in 2011 [41]. Yu et al [42] also stressed the issue of wind energy curtailment in the context of ongoing reforms in the Chinese electricity market. Therefore, the growth in the installed capacity of the wind power plants offers a promising perspective for an increase in the production of the renewable energy, yet electricity grids need to be developed in order to ensure transmission of the wind power across China.…”
Section: Wind Electricitymentioning
confidence: 99%
“…There are three stages of the most recent reform stipulated by Document No. 9 [42]. First, large customers can access the grid.…”
Section: Reforms Pertaining To the Most Recent Period Have Gained Mommentioning
In this paper, we integrate technological, institutional, and financial approaches towards expansion of the smart grid technology. We turn to China as the major producer and consumer of energy with an increasing focus on renewables. China’s electricity market has experienced a number of reforms while trying to address the economic and environmental challenges. In order to identify the basic requirements for the Chinese power sector, we look into the underlying trends of the energy mix, regulatory policies, and financial flows. Understanding these facets allows one to suggest directions for the further development of the Chinese power sector in the light of the smart grid concept. Indeed, the smart grid concept has no strict definition and, therefore, requires simultaneous consideration of multiple factors. The analysis shows that ensuring smooth transfer of electricity across the regions is a quintessential condition for smart grid development and the promotion of renewable energy in China. As the role of the state-owned enterprises still remains the most important one in the sector, private initiatives should be supported. Therefore, financial incentives are needed to guide the shifts in the energy mix and maintain efficient energy generation and consumption in China.
“…The failures of the transmission system caused the loss of some 10 TWh of the wind electricity (i.e., 12% of the total generation in the analysed regions) in 2011 [41]. Yu et al [42] also stressed the issue of wind energy curtailment in the context of ongoing reforms in the Chinese electricity market. Therefore, the growth in the installed capacity of the wind power plants offers a promising perspective for an increase in the production of the renewable energy, yet electricity grids need to be developed in order to ensure transmission of the wind power across China.…”
Section: Wind Electricitymentioning
confidence: 99%
“…There are three stages of the most recent reform stipulated by Document No. 9 [42]. First, large customers can access the grid.…”
Section: Reforms Pertaining To the Most Recent Period Have Gained Mommentioning
In this paper, we integrate technological, institutional, and financial approaches towards expansion of the smart grid technology. We turn to China as the major producer and consumer of energy with an increasing focus on renewables. China’s electricity market has experienced a number of reforms while trying to address the economic and environmental challenges. In order to identify the basic requirements for the Chinese power sector, we look into the underlying trends of the energy mix, regulatory policies, and financial flows. Understanding these facets allows one to suggest directions for the further development of the Chinese power sector in the light of the smart grid concept. Indeed, the smart grid concept has no strict definition and, therefore, requires simultaneous consideration of multiple factors. The analysis shows that ensuring smooth transfer of electricity across the regions is a quintessential condition for smart grid development and the promotion of renewable energy in China. As the role of the state-owned enterprises still remains the most important one in the sector, private initiatives should be supported. Therefore, financial incentives are needed to guide the shifts in the energy mix and maintain efficient energy generation and consumption in China.
“…Motie et al [10] innovatively proposed the use of grid-connected electric vehicles and wind resources to address financial support issues in a competitive environment. Yu et al [11] believe that China's wind energy utilization efficiency is low in the past decade, and it is imperative to introduce reforms in the power industry such as retail-side competition. Li et al [12] applied the fitting method, game theory and empirical analysis to discuss 134 China's onshore wind power policies from 2005 to 2015.…”
Section: Literature Reviewmentioning
confidence: 99%
“…[6]; the second is policy development and development strategy research in the wind power industry, such as Yu et al [7], Zhang [8], Tan et al [9], Motie et al [10] , Yu et al. [11] , Li et al [12] and Kazimierczuk [13]; and the third, studies on the efficiency of wind power utilization, such as Lu et al [14], Kaldellis [15], Katinas et al [16], Pieralli et al [17], Liu et al [18], Saglam [19] and Zhao [20] .…”
In 2015, the new installed capacity of global renewable energy power generation exceeded the newly installed capacity of conventional energy power generation, marking a structural change in the construction of the global power system. With the continuous improvement of wind energy utilization technology, the global wind power industry has developed rapidly in recent years. The world's available wind energy is 20 billion kilowatts and has become one of the most economical green power. In China, wind power has become the third largest source of electricity, with the installed capacity increasing from 3.1% in 2010 to 9.2% in 2017. In 2017, China's new installed capacity was 19,660 MW, accounting for 37.45% of the world's new installed capacity. This paper evaluates and compares the efficiency of wind power industry in the four regions of eastern, central, western and northeastern China through EBM models based on radial and non-radial factors. This paper discusses the contribution of China's wind power industry to CO2 emission reduction from the relationship between installed capacity efficiency and CO2 emission reduction efficiency. The conclusions show that the overall efficiency score and ranking of wind power in 2013-2017 is the best in the eastern region, followed by the northeast region and the western and central regions.
“…In China, wind power is becoming increasingly important, with the Chinese government has pledging to produce 15% of all electricity by 2020 using renewable resources, including 210 GW of wind power expected to come online by the end of the decade (National Energy Adminitstration 2016). Energy trading in China may become important as the market evolves (Yu et al 2017). Another use for the wind energy industry is using seasonal forecasts to anticipate potentially damaging conditions to energy infrastructure (Bett et al 2017, Clark et al 2017.…”
We demonstrate robust skill in forecasting winter (DJF) mean 10 m wind speeds for the period 1992/3-2011/12 over southeastern China and the South China Sea (SE China) and northern-central (NC) China, with correlations exceeding 0.8 and 0.6 respectively. High skill over these regions is seen in two independent initialised ensembles which cover different time periods. The NC China region suffers from a similar signal-to-noise problem as identified in forecasts of the North Atlantic Oscillation, where the model appears to be less predictable than the real world. In SE China, the predictability of wind speeds comes from the model's ability to predict the El Niño Southern Oscillation. In NC China, the wind speed is strongly related to two neighbouring geopotential height anomalies. Cross-validated linear regression models using the above climate indices give similar skill to using the direct model wind predictions in both regions. The model also has significant skill in predicting the strength of the Middle Eastern jet stream, which has previously been shown to be related to winter climate in central China. The model skill demonstrated here may be high enough to develop useful sector-specific seasonal forecasts, for example wind power forecasts for the energy industry, or air quality forecasts for the health sector.
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