Liu Shengyuan, Lin Zhenzhi, Jiang Yicheng, Zhang Tianhan, Yang Li, Tan Weitao, Lu Feng
School of Electrical Engineering, Zhejiang University, Hangzhou, China.
State Grid Zhejiang Electric Power Corporation, Hangzhou, China.
Heliyon. 2022 Sep 2;8(9):e10497. doi: 10.1016/j.heliyon.2022.e10497. eCollection 2022 Sep.
China has promised to peak carbon emission before 2030 and to achieve carbon neutrality before 2060 (i.e., "double carbon" goal). Under this background, the emission reduction transformation path of China's electric power industry is studied in this paper. First, several boundary conditions (i.e., assumptions) of electric power structure transformation (i.e., the costs of power generations, the costs of energy storage systems, the developments of carbon sinks, the emission factors, and the quotas of carbon sinks) are given considering the whole society electricity consumption in the future. Second, a transformation path optimization model is established aim to minimize the total cost in the electric power industry. Then, according to the optimization results, the transformation predictions for the power industry under the "30·60 scenario" (i.e., the scenario that can achieve carbon peak and carbon neutrality before 2030 and 2060) are analyzed in detail, and are compared with the ones of "2 °C scenario" and "1.5 °C scenario" defined by IPCC. Furthermore, the influence of different carbon prices on the transformation path is also analyzed. It can be concluded from the simulation results that the "30·60 scenario" is a scenario between "2 °C scenario" and "1.5 °C scenario", and carbon emission can be reduced rapidly under the guidance of high carbon prices.
中国已承诺在2030年前实现碳达峰,并在2060年前实现碳中和(即“双碳”目标)。在此背景下,本文研究了中国电力行业的减排转型路径。首先,考虑未来全社会用电量,给出了电力结构转型的几个边界条件(即假设)(即发电成本、储能系统成本、碳汇发展、排放因子和碳汇配额)。其次,建立了一个转型路径优化模型,旨在使电力行业的总成本最小化。然后,根据优化结果,详细分析了“30·60情景”(即在2030年前和2060年前实现碳达峰和碳中和的情景)下电力行业的转型预测,并与IPCC定义的“2℃情景”和“1.5℃情景”进行了比较。此外,还分析了不同碳价格对转型路径的影响。从模拟结果可以得出结论,“30·60情景”是介于“2℃情景”和“1.5℃情景”之间的一种情景,在高碳价格的引导下,碳排放可以迅速减少。