The cost of photovoltaics: Re-evaluating grid parity for PV systems in China

被引:0
|
作者
Wang, Rong [1 ]
Hasanefendic, Sandra [1 ]
von Hauff, Elizabeth [2 ,3 ]
Bossink, Bart [1 ]
机构
[1] Vrije Univ Amsterdam, Fac Sci, Innovat, Div Sci Business, NL-1081 HV Amsterdam, Netherlands
[2] Fraunhofer Inst Organ Elect Electron Beam & Plasm, Dresden, Germany
[3] Tech Univ Dresden, Fac Elect & Comp Engn, Dresden, Germany
关键词
Photovoltaics; Grid parity; Levelized costs of electricity; System LCOE; Learning curve; China; RENEWABLE ENERGY; LEVELIZED COST; SOLAR PV; ONSHORE WIND; POWER; LCOE; ELECTRICITY; INTEGRATION; TECHNOLOGY;
D O I
10.1016/j.renene.2022.05.101
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The price of photovoltaics (PV) has been steadily decreasing over the last decade, and many reports suggest that PV has become considerably cheaper than conventional electricity sources. In this paper, we critically evaluate the PV grid parity and use China as a case study. China is an interesting case study due to the wealth of data combined with the recent decrease in financial subsidies. Electricity costs are commonly compared in the literature using levelized costs of electricity (LCOE). However traditional LCOE analyses neglect important cost factors that are specific to PV, in particular the cost of grid integration. Here, we demonstrate that system LCOE calculation more accurately estimates the grid parity of PV. We find that the integration costs account for 15% of the total system costs, which cannot be neglected with the higher penetration of PV in the electricity system. Further, provincial grid parity indexes are greater than 1, indicating that the grid parity from a system LCOE perspective has not yet been achieved. The learning rate of Chinese PV is still relatively small, and we estimate that grid parity for PV in China will be achieved between 2020 and 2032, depending on the region. These findings shed new light on assessing grid parity of PV systems by considering relevant local parameters and thereby offer an assessment method framework and prediction modeling for assessing grid parity of PV installations. (c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:469 / 481
页数:13
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