{"title":"纸浆造纸工业综合能源系统优化改造规划,提高灵活性和碳减排能力","authors":"Suyang Zhou, Runfan Mou, Wei Gu, Zhi Wu, Aobo Guan, Wennan Zhuang","doi":"10.1016/j.apenergy.2025.126045","DOIUrl":null,"url":null,"abstract":"<div><div>Pulp and paper industry (PPI) is a traditional energy-intensive sector with a high carbon footprint. Promising carbon reduction and energy storage technologies have endowed PPI with a certain level of environmental sustainability. However, considering these technologies in the retrofit planning of pulp and paper industrial integrated energy system (PPIIES) is challenged by the currently oversimplified energy flow and equipment models as well as the lack of consideration of carbon trading mechanism and production process scheduling. To address this, this paper proposes an optimal planning framework for PPIIES characterized by detailed carbon trading, carbon reduction equipment, and heat storage model with in-depth exploration of production flexibilities. Specifically, we first propose the improved Carbon Capture (CC), Steam Accumulator (SA), and Pressurized Unit (PU) models for retrofitted PPIIES with high, medium, and low steam pressure levels. Then, a European Union Allowance (EUA) and Certified Emission Reduction (CER) embedded optimal planning model for PPIIES is established. Ultimately, we examine the planned capacity and economic performance of PPIIES across various carbon market periods with typical technology combinations and process scheduling options. Results demonstrate that the proposed model can reduce the integrated costs by 13 % and the carbon emission by 36 %.</div></div>","PeriodicalId":246,"journal":{"name":"Applied Energy","volume":"393 ","pages":"Article 126045"},"PeriodicalIF":10.1000,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal retrofit planning of pulp and paper industrial integrated energy system for enhancing flexibilities and carbon reduction capabilities\",\"authors\":\"Suyang Zhou, Runfan Mou, Wei Gu, Zhi Wu, Aobo Guan, Wennan Zhuang\",\"doi\":\"10.1016/j.apenergy.2025.126045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Pulp and paper industry (PPI) is a traditional energy-intensive sector with a high carbon footprint. Promising carbon reduction and energy storage technologies have endowed PPI with a certain level of environmental sustainability. However, considering these technologies in the retrofit planning of pulp and paper industrial integrated energy system (PPIIES) is challenged by the currently oversimplified energy flow and equipment models as well as the lack of consideration of carbon trading mechanism and production process scheduling. To address this, this paper proposes an optimal planning framework for PPIIES characterized by detailed carbon trading, carbon reduction equipment, and heat storage model with in-depth exploration of production flexibilities. Specifically, we first propose the improved Carbon Capture (CC), Steam Accumulator (SA), and Pressurized Unit (PU) models for retrofitted PPIIES with high, medium, and low steam pressure levels. Then, a European Union Allowance (EUA) and Certified Emission Reduction (CER) embedded optimal planning model for PPIIES is established. Ultimately, we examine the planned capacity and economic performance of PPIIES across various carbon market periods with typical technology combinations and process scheduling options. Results demonstrate that the proposed model can reduce the integrated costs by 13 % and the carbon emission by 36 %.</div></div>\",\"PeriodicalId\":246,\"journal\":{\"name\":\"Applied Energy\",\"volume\":\"393 \",\"pages\":\"Article 126045\"},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2025-05-11\",\"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/S0306261925007755\",\"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/S0306261925007755","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}
Optimal retrofit planning of pulp and paper industrial integrated energy system for enhancing flexibilities and carbon reduction capabilities
Pulp and paper industry (PPI) is a traditional energy-intensive sector with a high carbon footprint. Promising carbon reduction and energy storage technologies have endowed PPI with a certain level of environmental sustainability. However, considering these technologies in the retrofit planning of pulp and paper industrial integrated energy system (PPIIES) is challenged by the currently oversimplified energy flow and equipment models as well as the lack of consideration of carbon trading mechanism and production process scheduling. To address this, this paper proposes an optimal planning framework for PPIIES characterized by detailed carbon trading, carbon reduction equipment, and heat storage model with in-depth exploration of production flexibilities. Specifically, we first propose the improved Carbon Capture (CC), Steam Accumulator (SA), and Pressurized Unit (PU) models for retrofitted PPIIES with high, medium, and low steam pressure levels. Then, a European Union Allowance (EUA) and Certified Emission Reduction (CER) embedded optimal planning model for PPIIES is established. Ultimately, we examine the planned capacity and economic performance of PPIIES across various carbon market periods with typical technology combinations and process scheduling options. Results demonstrate that the proposed model can reduce the integrated costs by 13 % and the carbon emission by 36 %.
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.