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考虑"双碳"目标影响的工业负荷演化趋势分析方法OA

Analysis Method for Industrial Load Evolution Trend Considering Dual Carbon Goals

中文摘要英文摘要

在落实"双碳"目标过程中,精准把握工业负荷的演化趋势是制定能源转型战略的关键基础.为此,提出考虑"双碳"目标影响的工业负荷演化趋势分析方法.梳理中国主要的"双碳"政策,并分析其影响工业负荷演化趋势的内在机理.利用层次分析法量化不同"双碳"因素影响的大小,筛选出主导工业负荷演化趋势的关键因素.综合考虑工业负荷序列的周期性时序特征和"双碳"目标的影响,建立基于季节性差分自回归移动平均(seasonal autoregressive integrated moving average model,SARIMA)和系统动力学(system dynamics,SD)的组合模型,以分析工业负荷的演化趋势.以某省钢铁行业数据为例,分析了用电负荷及碳排放的演化趋势,验证了所提SARIMA-SD组合模型的有效性.算例结果表明2024-2060年,工业负荷及碳排放受"双碳"政策的影响整体呈下降趋势,但是"双碳"目标的实现还需要碳捕集和封存等新技术的共同配合.

In the process of implementing the goals of carbon peak and carbon neutrality,accurately analyzing the evolution trend of industrial load serves as a crucial foundation for developing energy transformation strategy.To this end,a method considering the impact of the dual carbon goals is proposed to analyze the evolution trend of industrial load.The main dual carbon policies in China were sorted out and their underlying mechanisms affecting the evolution trend of industrial load were analyzed.The analytic hierarchy process is used to quantify the impact of different dual carbon factors and to screen out the key factors that dominate the trend of industrial load evolution.A combined model based on the seasonal autoregressive integrated moving average(SARIMA)and system dynamics(SD)is established to analyze the evolution trend of industrial loads,taking into account the impact of the dual carbon goals and the periodic temporal characteristics of industrial load sequences.Taking the data of the steel industry in a province as an example,the evolution trends of electricity load and carbon dioxide emissions are analyzed,verifying the effectiveness of the proposed SARIMA-SD combined model.The case study results indicate that from 2024 to 2060,industrial load and carbon emissions are expected to exhibit a general downward trend due to the implementation of dual carbon policies.However,achieving the goal of carbon neutrality still necessitates concerted efforts in employing technologies such as carbon capture and storage.

郑雅睿;曹永吉;张恒旭;李常刚

山东大学电气工程学院,山东省 济南市 250061山东大学智能创新研究院,山东省 济南市 250101山东大学电气工程学院,山东省 济南市 250061山东大学电气工程学院,山东省 济南市 250061

信息技术与安全科学

工业负荷演化趋势"双碳"目标时间序列系统动力学

industrial loadevolution trenddual carbon goalstime seriessystem dynamics

《全球能源互联网》 2026 (2)

226-236,11

智能电网国家科技重大专项(2024200801100)国家自然科学基金(52177096).Smart-Grid National Science and Technology Major Project(2024200801100)National Natural Science Foundation of China(52177096).

10.19705/j.cnki.issn2096-5125.20240253

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