Scenario Prediction of Carbon Peak in Fujian Electric Power Industry Based on STIRPAT Model

The power industry plays a crucial role in achieving the carbon reduction objectives and facilitating transition towards low-carbon economy society. This study employed IPCC emission coefficient method to calculate emissions of Fujian Province from 2001 2021. To predict 2022 2030, this article established STIRPAT model based on ridge regression. Empirical research was carried out investigate timing peaking peak Province, considering various scenarios. calculation indicates that overall electricity showed an upward trend By 2021, reached 9.646×10 7 tons, has not been reached. Scenario simulation analysis shows under energy-saving scenario, is projected reach its 2025, with value 9.687×10 tons. However, baseline ideal scenarios, are before 2030. estimated be 9.853×10 tons 1.067×10 8 respectively. concludes by presenting comprehensive most effective approach within Province. accomplished examining issue angles, including government planning, generation structure, industrial public awareness.