Haotian Wu , Deping Ke , Lin Song , Jian Xu , Siyang Liao , Lei Wang
{"title":"基于风-气-氢能源的低碳钢铁产业多目标多阶段产能规划","authors":"Haotian Wu , Deping Ke , Lin Song , Jian Xu , Siyang Liao , Lei Wang","doi":"10.1016/j.apenergy.2025.125793","DOIUrl":null,"url":null,"abstract":"<div><div>The decarbonization transition of the iron and steel industry (ISI) necessitates an overshooting of its energy mix from a predominantly coal-consuming to a predominantly renewable energy-consuming one, including wind and hydrogen. This also presents novel challenges to the energy economy, efficiency, and flexibility of low-carbon ISI. To overcome this challenge, this paper proposes a multi-objective and multi-stage planning (MSP) model for ISI coupled with multi-energy forms. The MSP strategy, which considers the stage-adjustable hydrogen proportion (H<sub>2</sub>-CO ratio) used in iron production, is proposed as a means of fully considering energy development at different stages to make optimal equipment configuration. Moreover, a multi-objective capacity planning model is developed to establish energy economic, efficiency and flexibility objectives based on the actual energy policies implemented in China. Finally, an enhanced AUGMECON-R algorithm (EARA) is devised to address the bilinear constraints inherent to the model, thereby facilitating an efficient solution process. The simulation results substantiate the efficacy of the MSP strategy, illustrate the substantial value of the stage-plannable H<sub>2</sub>-CO ratio for ISI's economy and flexibility enhancement, and demonstrate that EARA can markedly enhance solution efficiency while maintaining an acceptable level of accuracy.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"390 ","pages":"Article 125793"},"PeriodicalIF":11.0000,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-objective and multi-stage capacity planning for low-carbon iron and steel industry empowered by wind-gas‑hydrogen energy\",\"authors\":\"Haotian Wu , Deping Ke , Lin Song , Jian Xu , Siyang Liao , Lei Wang\",\"doi\":\"10.1016/j.apenergy.2025.125793\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The decarbonization transition of the iron and steel industry (ISI) necessitates an overshooting of its energy mix from a predominantly coal-consuming to a predominantly renewable energy-consuming one, including wind and hydrogen. This also presents novel challenges to the energy economy, efficiency, and flexibility of low-carbon ISI. To overcome this challenge, this paper proposes a multi-objective and multi-stage planning (MSP) model for ISI coupled with multi-energy forms. The MSP strategy, which considers the stage-adjustable hydrogen proportion (H<sub>2</sub>-CO ratio) used in iron production, is proposed as a means of fully considering energy development at different stages to make optimal equipment configuration. Moreover, a multi-objective capacity planning model is developed to establish energy economic, efficiency and flexibility objectives based on the actual energy policies implemented in China. Finally, an enhanced AUGMECON-R algorithm (EARA) is devised to address the bilinear constraints inherent to the model, thereby facilitating an efficient solution process. The simulation results substantiate the efficacy of the MSP strategy, illustrate the substantial value of the stage-plannable H<sub>2</sub>-CO ratio for ISI's economy and flexibility enhancement, and demonstrate that EARA can markedly enhance solution efficiency while maintaining an acceptable level of accuracy.</div></div>\",\"PeriodicalId\":246,\"journal\":{\"name\":\"Applied Energy\",\"volume\":\"390 \",\"pages\":\"Article 125793\"},\"PeriodicalIF\":11.0000,\"publicationDate\":\"2025-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0306261925005239\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306261925005239","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Multi-objective and multi-stage capacity planning for low-carbon iron and steel industry empowered by wind-gas‑hydrogen energy
The decarbonization transition of the iron and steel industry (ISI) necessitates an overshooting of its energy mix from a predominantly coal-consuming to a predominantly renewable energy-consuming one, including wind and hydrogen. This also presents novel challenges to the energy economy, efficiency, and flexibility of low-carbon ISI. To overcome this challenge, this paper proposes a multi-objective and multi-stage planning (MSP) model for ISI coupled with multi-energy forms. The MSP strategy, which considers the stage-adjustable hydrogen proportion (H2-CO ratio) used in iron production, is proposed as a means of fully considering energy development at different stages to make optimal equipment configuration. Moreover, a multi-objective capacity planning model is developed to establish energy economic, efficiency and flexibility objectives based on the actual energy policies implemented in China. Finally, an enhanced AUGMECON-R algorithm (EARA) is devised to address the bilinear constraints inherent to the model, thereby facilitating an efficient solution process. The simulation results substantiate the efficacy of the MSP strategy, illustrate the substantial value of the stage-plannable H2-CO ratio for ISI's economy and flexibility enhancement, and demonstrate that EARA can markedly enhance solution efficiency while maintaining an acceptable level of accuracy.
期刊介绍:
Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.