Quantitative prediction of future power generation from PV stations not only contributes to the stable operation of the local power system but also assists managers in formulating regional energy policies to promote renewable energy consumption.
Do PV power stations change vegetation condition before or after construction?
To assess the ecological impact of PV power stations, we used the NDVI to measure the change in vegetation condition before and after the construction of PV power stations and constructed NDVI changes for PV power stations constructed in different years.
Do large-scale photovoltaic power stations affect local ecosystems?
The expansion of photovoltaic (PV) networks is raising concerns regarding the potential impact of large-scale PV power stations on local ecosystems. However, a comprehensive understanding of the specific responses of vegetation and soil factors to PV con-struction across different study locations is still lacking.
Energy policies are the main factor driving the rapid development of PV power stations in China . Since 2004, PV production in China has experienced tremendous growth due to the dramatic increase in demand for PV in European countries. To promote the domestic deployment of PV, China launched a national solar subsidy program in 2009 [36, 37].
How does solar radiation affect the ecological response to PV power stations?
Asterisks (*) denote significant effects. After the construction of PV power stations, the ecological response to established PV power stations exhibited the following trend under different extents of solar radiation: ZFRH (76.40%) > HFRH (22.81%); in contrast, the FRCH decreased by 19.78%.
Do solar power stations improve vegetation productivity?
(2) PV construction promotes SWC, vegetation diversity, vegetation coverage, and vegetation biomass, significantly enhancing vegetation productivity. (3) Among the different ecosystems, PV power station effects were most significant in deserts, while showing negative impacts on croplands.
How to predict the future power generation of PV power station?
Leveraging the NEX-GDDP-CMIP6 data, the study constructed the Vine Copula multi-model ensemble downscaling model. On this basis, the future power generation of PV power station for 2025–2034 was predicted using the future meteorological data provided by the downscaling model. Both models constructed for the PV power station have high accuracy.