摘要
“双碳”目标下工业清洁能源调度优化已是工业发展的关键要素。在此背景下,提出了通过清洁能源偏差不确定性、多尺度分布式模型评估及效益价值以分析能源系统调度,并制定了相关排放管理措施,实现工业社会生态环境治理,结果表明:清洁能源调度优化过程包括3个阶段,第一阶段通过储能约束概率降低能源调度随机性误差;第二阶段以多尺度清洁能源系统建模分析调度最优方式及最佳经济效益值;第三阶段以最大运营效益和最低弃能成本实现能源调度效益评估,最终通过工业清洁能源效益评估,合理实现绿色、安全、高效益的工业能源调度方式和排放管理措施的制定。
The optimization of industrial clean energy dispatch under the goal of "double carbon" is a key element of industrial development. In this context, this paper proposes to analyze energy system dispatching through clean energy deviation uncertainty, multi-scale distributed model evaluation and benefit value. Relevant emission management measures are formulated to achieve industrial socio-ecological governance. The results show that the clean energy dispatching optimization process includes three stages: the first stage reduces the random error of energy dispatching through energy storage constraint probability;the second stage analyzes the optimal way of dispatching and the best economic benefit value by multi-scale clean energy system modeling;the third stage realizes the evaluation of energy dispatching benefits with the maximum operation benefit and the lowest abandonment cost. Finally, through the evaluation of industrial clean energy benefits, it rationally realizes the formulation of industrial energy dispatching methods and discharge management measures of green, safe, and high-efficiency.
作者
韦湘林
Wei Xianglin(Foshan Jingke Cleaner Production Promotion Center,Foshan,Guangdong 528000,China)
出处
《绿色科技》
2022年第20期236-239,共4页
Journal of Green Science and Technology
关键词
“双碳”
清洁能源
优化方法
效益
管理措施
"double carbon"
clean energy
optimization method
benefits
management measures
