Wu Gengqi, Niu Dongxiao
School of Economics and Management, North China Electric Power University, Beijing, 102206, China.
Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing, 102206, China.
Environ Sci Pollut Res Int. 2022 Dec;29(56):85062-85080. doi: 10.1007/s11356-022-21594-z. Epub 2022 Jul 5.
The clean and low-carbon transition of China's power sector is of great importance to the achievement of dual carbon targets and the control of global warming. This paper first estimates the remaining carbon budget of the power sector under a 1.5 °C temperature control target and on this basis constructs 1.5 °C and 2 °C power transition scenarios, examining key boundary conditions such as economic development and changes in the cost of power generation technologies. Second, the Genetic Algorithm-Extreme Learning Machine (GA-ELM) model is used to forecast the electricity demand for the next forty years. Finally, with the objective of minimising the total planning cost, a pathway optimisation model of the power system is constructed to explore the optimal transition path for the power system using the dual carbon target, carbon budget and electricity demand as the main constraints. The results of the study show that the carbon budget of the Chinese power sector is approximately 7.1 × 10 t CO2 for a 1.5 °C temperature control target. The electricity demand tends to saturate after 2050 and reaches 1.58 × 10 kWh in 2060. The time of the carbon peak and carbon neutralisation in the power sector is 5 years ahead of the double carbon target. By 2060, the power system will be dominated by new energy sources, with the proportion of installed non-fossil energy capacity at over 90% and the proportion of non-fossil energy generation at over 85%. Compared to that under the 2 °C temperature control target, the power sector under the 1.5 °C temperature control target needs to accelerate the pace of the low-carbon transition of electricity and deal with key issues such as the orderly withdrawal of coal power, the construction of a diversified clean energy system and the application of carbon capture devices. This study recommends that the process of building a zero-emissions power sector requires a good pace of the construction of new power systems at a suitable pace, increased efforts to tackle key technologies and improved relevant market mechanisms. China's carbon-neutral pathway in the power sector also has implications for other countries' clean, low-carbon transitions of their power systems.
中国电力部门的清洁低碳转型对于实现双碳目标和控制全球变暖至关重要。本文首先估算了在1.5℃温控目标下电力部门的剩余碳预算,并在此基础上构建了1.5℃和2℃的电力转型情景,考察经济发展、发电技术成本变化等关键边界条件。其次,运用遗传算法-极限学习机(GA-ELM)模型预测未来四十年的电力需求。最后,以规划总成本最小化为目标,构建电力系统路径优化模型,以双碳目标、碳预算和电力需求为主要约束条件,探索电力系统的最优转型路径。研究结果表明,对于1.5℃温控目标,中国电力部门的碳预算约为7.1×10亿吨二氧化碳。电力需求在2050年后趋于饱和,2060年达到1.58×10千瓦时。电力部门的碳达峰和碳中和时间比双碳目标提前5年。到2060年,电力系统将以新能源为主,非化石能源装机容量占比超过90%,非化石能源发电量占比超过85%。与2℃温控目标相比,1.5℃温控目标下的电力部门需要加快电力低碳转型步伐,应对煤电有序退出、多元化清洁能源体系建设、碳捕集装置应用等关键问题。本研究建议,建设零排放电力部门的过程需要以适当的速度稳步推进新电力系统建设步伐,加大关键技术攻关力度,完善相关市场机制。中国电力部门的碳中和路径对其他国家电力系统的清洁低碳转型也具有借鉴意义。