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储能系统技术 储能系统 ★ 4.0

钢铁工业在实时需求响应中的能源与环境性能研究:以热轧过程为例

Energy and environmental performance of iron and steel industry in real-time demand response: A case of hot rolling process

作者 Xinmin Liu · Wenqiang Sun · Tiantian Chen · Xiaoyuan Xu · Tao Huang
期刊 Applied Energy
出版日期 2025年1月
卷/期 第 389 卷
技术分类 储能系统技术
技术标签 储能系统
相关度评分 ★★★★ 4.0 / 5.0
关键词 A model for quantifying demand response (DR) potential has been established.
语言:

中文摘要

摘要 可再生能源的大规模并网给电力系统的灵活稳定运行带来了新的问题与挑战。基于需求侧资源的新型电网调节模式已成为工业发展的重要趋势。钢铁等工业场所耗电量巨大,具备显著的需求响应(DR)潜力。然而,工业负荷的实时调节能力尚未得到清晰量化,且由于能源与环境因素的影响,工业部门参与需求响应的积极性较低。为弥补上述研究空白,本文聚焦钢铁工业中的热轧过程,提出一种评估模型以量化其实时需求响应潜力。通过对热轧过程在需求响应期间的能源与环境性能进行分析,制定了在加热炉待机期间减少工艺气体供应和降低二氧化碳排放的优化策略。案例研究表明,在304L不锈钢、1200°C工况下,需求响应潜力峰值可达16 MW。一次持续一小时的需求响应将额外消耗16,975 m³工艺气体,并产生24.1吨二氧化碳排放;但通过在一小时内将工艺气体供应减少30%,或在更长时间内关闭加热炉,可有效缓解该环境影响。此外,需求响应后使用绿色电力可抵消相应的二氧化碳排放。

English Abstract

Abstract The large-scale integration of renewable energy into the power system poses new problems and challenges to its flexible and stable operation. A new grid regulation model based on demand-side resources has emerged as a trend in industry development. Industries such as iron and steel sites consume vast amounts of electrical resources and possess significant demand response (DR) potential. However, the real-time regulation capability of industrial loads has not been clearly quantified, and industrial sectors' enthusiasm for participating in DR is low due to energy and environmental factors. To address thess research gaps, this paper focuses on the hot rolling process in the iron and steel industry and proposes an assessment model to quantify its real-time DR potential. Based on analysis of hot-rolling process' energy and environmental performance during DR, strategies to minimize process gas supply and CO 2 emissions in reheating furnace standby periods have been formulated. Case studies show DR potential peaks at 16 MW at 1200 °C with 304L steel. A one-hour DR can lead to extra 16,975 m 3 process gas consumption and 24.1 t CO 2 emissions, which can be mitigated by reducing process gas by 30% for DR under 1 h and shutting down the furnace for longer durations. Using green electricity post-DR can offset CO 2 emissions.
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SunView 深度解读

该研究揭示钢铁行业热轧工序具备16MW级实时需求响应潜力,为阳光电源PowerTitan储能系统和ST系列PCS在工业负荷侧应用提供新场景。可结合iSolarCloud平台开发工业DR智能调度算法,通过GFM控制技术实现毫秒级功率响应,配合绿电消纳降低碳排放。建议针对高耗能工业开发定制化储能解决方案,将需求响应与储能系统协同优化,提升电网调节能力的同时助力工业企业降本增效,拓展储能系统在需求侧管理的市场空间。