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Article

Grid Parity Analysis of China’s Centralized Photovoltaic Generation under Multiple Uncertainties

1
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
2
Research Centre for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
*
Author to whom correspondence should be addressed.
Energies 2021, 14(7), 1814; https://doi.org/10.3390/en14071814
Submission received: 4 February 2021 / Revised: 19 March 2021 / Accepted: 22 March 2021 / Published: 24 March 2021

Abstract

The cost of centralized photovoltaic (CPV) power generation has been decreasing rapidly in China. However, the achievement of grid parity is full of uncertainties due to changes in policies and the industry environment. In order to explore the time, price, and external conditions in which grid parity can be achieved, we create the improved grey GM (1, 1) model to estimate the installed capacity over the next 10 years, and apply a learning curve to predict the cost of CPV generation. In the analysis of grid parity, we compare the benchmark price of coal power and the price under the market-oriented mechanism with CPV. The results show that China’s CPV industry will enter the early stage of maturity from 2020 onwards; with the help of benchmark investment, the grid parity of CPV may be achieved in 2022 at the earliest and 2025 at the latest. After 2025, the photovoltaic electricity price will be generally lower than the coal electricity price under marketization. By 2030, CPV power generation costs will reach US $0.05/kWh, the accumulative installed capacity will exceed 370 GW, and the uncertainties will lead to a cumulative installed gap of nearly 100 GW.
Keywords: centralized photovoltaic; grid parity; learning curve; industry life cycle centralized photovoltaic; grid parity; learning curve; industry life cycle
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MDPI and ACS Style

Zhang, L.; Du, Q.; Zhou, D. Grid Parity Analysis of China’s Centralized Photovoltaic Generation under Multiple Uncertainties. Energies 2021, 14, 1814. https://doi.org/10.3390/en14071814

AMA Style

Zhang L, Du Q, Zhou D. Grid Parity Analysis of China’s Centralized Photovoltaic Generation under Multiple Uncertainties. Energies. 2021; 14(7):1814. https://doi.org/10.3390/en14071814

Chicago/Turabian Style

Zhang, Libo, Qian Du, and Dequn Zhou. 2021. "Grid Parity Analysis of China’s Centralized Photovoltaic Generation under Multiple Uncertainties" Energies 14, no. 7: 1814. https://doi.org/10.3390/en14071814

APA Style

Zhang, L., Du, Q., & Zhou, D. (2021). Grid Parity Analysis of China’s Centralized Photovoltaic Generation under Multiple Uncertainties. Energies, 14(7), 1814. https://doi.org/10.3390/en14071814

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