About Wind power generation on-grid benchmark electricity price
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6 FAQs about [Wind power generation on-grid benchmark electricity price]
What is wind power benchmark electricity price?
Wind power benchmark electricity price, as a feed-in tariff policy, is an important means to ultimately achieve marketization of electricity price. The primary purpose of the wind power feed-in tariff policy is to promote the development of the wind power industry and realize the effectiveness of the policy.
What is the average on-grid electricity price for wind power?
Based on these data, we can get the average subsidy level for wind power which is 153.29 yuan/MWh (572.06–418.77). Thus, under the premium pricing mechanism, the average on-grid electricity price for wind power is “market clear electricity price + 153.29 yuan/MWh”. 4. Results and discussions 4.1.
What is a benchmark on-grid electricity tariff?
Benchmark on-grid electricity tariffs The introduction of a benchmark on-grid electricity tariff was an important measure to move towards a more uniformed generation on-grid tariff, which constitutes a mandatory reference for coal-fired power plants built after 2004.
What is China's Benchmark on-grid power tariff mechanism?
The benchmark on-grid power tariff mechanism has been implemented for around 15 years and has played an important guiding role in China’s power industry. Firstly, it secured the long-term electricity price level, which attracted more investment, and provided a price signal for investment decisions.
How does the benchmark price policy affect PV & wind power projects?
Under the benchmark price policy, PV and wind power projects received preferential treatment in feed-in tariffs and strong support from government subsidies. As a result, the installed capacity of PV and wind power delivered spectacular growth within a decade.
What is the coefficient of wind power benchmark electricity price?
The regression results: (1) as shown in column 1 of Table 6, the estimated coefficient of wind power benchmark electricity price is 0.043, which is significant at the 1% level, indicating the robustness of the benchmark regression results. (2) Column 2 in Table 6 is 1-stage using the two-stage least squares method.
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