热力发电2025，Vol.54Issue(8)：50-60,11.DOI:10.19666/j.rlfd.202411251
协同化工多稳态柔性运行策略的绿氨系统容量配置优化
Optimal capacity configuration of a green ammonia system based on multi-stable flexible strategy of chemical industry
摘要
Abstract
In the context of carbon peak and carbon neutrality,renewable power to ammonia(RePtA)technology has garnered widespread attentions due to its ability to scale up the consumption of renewable energy and green hydrogen.However,the hydrogen production from renewable energy in RePtA systems exhibits significant volatility,posing challenges to stable operation of the Haber-Bosch ammonia synthesis process.To address this issue,a discrete multi-steady-state flexible load operation strategy for ammonia synthesis process is proposed.A two-stage optimization model for capacity configuration and coordinated chemical operation scheduling is established using the PSO-MILP algorithm.A case simulation analysis was conducted on a demonstration project under construction in Inner Mongolia,and the technical and economic performance of three different flexible schemes was compared.The result indicates that,compared with the conventional steady state schemes,the discrete multi-state flexible operation strategy's economic efficiency improved significantly after capacity and operation coordination optimization,with annual revenue increased by 67 150 000 yuan.Compared with the fully flexible operation strategies,the new strategy significantly enhances the stability of the ammonia synthesis process,reducing production load volatility by 78.16%.The proposed optimization model can balance the investment economic efficiency and operational safety of the RePtA system,and its findings are expected to provide some guidance for actual production operations.关键词
电解水制氢/合成氨/容量配置/协同运行Key words
hydrogen production by water electrolysis/ammonia synthesis/capacity configuration/coordinated operation引用本文复制引用
周家辉,仝冰,王海鸣,徐钢,张润之,张健..协同化工多稳态柔性运行策略的绿氨系统容量配置优化[J].热力发电,2025,54(8):50-60,11.基金项目
国家自然科学基金重大项目(52090064) （52090064）
新疆维吾尔自治区科技计划项目(2022LQ01005) National Natural Science Foundation of China(52090064) （2022LQ01005）
Science and Technology Project of Xinjiang Uygur Autonomous Region(2022LQ01005) （2022LQ01005）
