一种面向过程的氢能一体化零碳钢铁厂与甲醇生产耦合的需求响应评估框架
A Process-Aware Demand Response Evaluation Framework for Hydrogen-Integrated Zero-Carbon Steel Plants Coupled with Methanol Production
AI总结：
本文提出面向过程的氢能一体化零碳钢铁厂与甲醇耦合需求响应评估框架，通过整合能源-材料流、操作可行区域模型及过程感知评估模型，实现178.3MW需求响应容量，提升可再生能源-负荷匹配效率并降低15.68%成本。
摘要：
高比例可再生能源（RES）和热力机组退役加剧了电力系统灵活性短缺。基于氢能的低碳钢铁生产系统具有显著的需求响应（DR）潜力。本文提出一种面向过程的需求响应评估框架，用于氢能一体化零碳钢铁厂与甲醇生产耦合（H2-DRI-EAF-MeOH）。首先，引入一种新型H2-DRI-EAF-MeOH架构以通过甲醇合成消除残余排放。整合能源-材料流以反映支配需求响应潜力的耦合相互作用。其次，为捕捉电弧炉（EAF）的操作约束同时保持可操作性，开发了一个操作可行区域模型，并通过纯氢直接还原铁和EAF工厂的现场数据验证，得到4.1%的平均相对误差。第三，制定了一个过程感知的需求响应潜力评估模型，结合非线性不对称惩罚和自适应滚动机制以反映操作员对过程偏差的厌恶并避免短视调度。最后，建立了双侧评价指标以量化电网侧交付的需求响应容量和爬坡风险，使负荷侧单元级调节行为可观察。案例研究表明，所提出的框架实现了平均有效交付需求响应容量为178.3 MW，提高了可再生能源-负荷匹配从0.257到0.587，并比基线减少了15.68%的成本。此外，指数不对称惩罚减轻了过程偏差的极端尾部风险。最终，这项工作为利用可再生能源-钢铁-化工协同来缓解灵活性短缺提供了理论基础。
英文摘要：
High penetration of renewables (RES) and the retirement of thermal units aggravate flexibility scarcity in power systems. Hydrogen-based low-carbon steel production systems possess substantial demand response (DR) potential. This paper proposes a process-aware DR evaluation framework for hydrogen-integrated zero-carbon steel plants coupled with methanol production (H2-DRI-EAF-MeOH). First, a novel H2-DRI-EAF-MeOH architecture is introduced to eliminate residual emissions via methanol synthesis. Integrated energy-material flows are formulated to reflect coupling interactions governing DR potential. Second, to capture electric arc furnace (EAF) operational constraints while preserving tractability, an operating feasible region model is developed and validated using field data from a pure hydrogen direct reduced iron and EAF plant, yielding a 4.1% average relative error. Third, a process-aware DR potential evaluation model is formulated, incorporating a nonlinear asymmetric penalty and an adaptive rolling mechanism to reflect operators' aversion to process deviations and avoid myopic scheduling. Finally, dual-side evaluation metrics are established to quantify grid-side delivered DR capacity and ramping risks, making load-side unit-level regulation behaviors observable. Case studies show the proposed framework achieves an average effective delivered DR capacity of 178.3 MW, improves RES-load matching from 0.257 to 0.587, and reduces costs by 15.68% compared to the baseline. Furthermore, the exponential asymmetric penalty mitigates extreme tail risks of process deviations. Ultimately, this work provides a theoretical foundation for leveraging RES-steel-chemical synergies to mitigate flexibility scarcity.
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