{"title":"利用技术经济分析和生命周期分析优化以甜菜为原料生产生物基异丙醇的可持续供应链","authors":"Ching-Mei Wen, Marianthi Ierapetritou","doi":"10.1016/j.compchemeng.2024.108836","DOIUrl":null,"url":null,"abstract":"<div><p>This study examines the techno-economic and life cycle analysis of bio-based isopropanol (IPA) production from sugar beet, utilizing a Geographical Information System (GIS)-enabled framework. By focusing on the innovative IPA production technology, the research demonstrates the economic and environmental feasibility of converting first-generation biomass into sustainable chemicals through the optimization of the Sugar Beet-to-Isopropanol supply chain. Findings highlight a cost-optimal production capacity of 55,800 mt/year with significant potential for reducing emissions and operational costs. The production cost of bio-IPA is potentially 70 % less than the fossil-derived IPA price. Additionally, the potential profits from bio-based IPA are estimated to be nearly double the market price of its primary raw material, sugar, demonstrating the economic feasibility of converting the first-generation biomass for sustainable IPA production. The study also explores the impact of facility clustering on transportation emissions and costs, revealing strategic approaches to expanding plant capacities in response to increasing demand. This research provides insights for designing sustainable industrial practices using first-generation biomass in the chemical industry.</p></div>","PeriodicalId":286,"journal":{"name":"Computers & Chemical Engineering","volume":"191 ","pages":"Article 108836"},"PeriodicalIF":3.9000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of sustainable supply chain for bio-based isopropanol production from sugar beet using techno-economic and life cycle analysis\",\"authors\":\"Ching-Mei Wen, Marianthi Ierapetritou\",\"doi\":\"10.1016/j.compchemeng.2024.108836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study examines the techno-economic and life cycle analysis of bio-based isopropanol (IPA) production from sugar beet, utilizing a Geographical Information System (GIS)-enabled framework. By focusing on the innovative IPA production technology, the research demonstrates the economic and environmental feasibility of converting first-generation biomass into sustainable chemicals through the optimization of the Sugar Beet-to-Isopropanol supply chain. Findings highlight a cost-optimal production capacity of 55,800 mt/year with significant potential for reducing emissions and operational costs. The production cost of bio-IPA is potentially 70 % less than the fossil-derived IPA price. Additionally, the potential profits from bio-based IPA are estimated to be nearly double the market price of its primary raw material, sugar, demonstrating the economic feasibility of converting the first-generation biomass for sustainable IPA production. The study also explores the impact of facility clustering on transportation emissions and costs, revealing strategic approaches to expanding plant capacities in response to increasing demand. This research provides insights for designing sustainable industrial practices using first-generation biomass in the chemical industry.</p></div>\",\"PeriodicalId\":286,\"journal\":{\"name\":\"Computers & Chemical Engineering\",\"volume\":\"191 \",\"pages\":\"Article 108836\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Chemical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0098135424002540\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0098135424002540","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Optimization of sustainable supply chain for bio-based isopropanol production from sugar beet using techno-economic and life cycle analysis
This study examines the techno-economic and life cycle analysis of bio-based isopropanol (IPA) production from sugar beet, utilizing a Geographical Information System (GIS)-enabled framework. By focusing on the innovative IPA production technology, the research demonstrates the economic and environmental feasibility of converting first-generation biomass into sustainable chemicals through the optimization of the Sugar Beet-to-Isopropanol supply chain. Findings highlight a cost-optimal production capacity of 55,800 mt/year with significant potential for reducing emissions and operational costs. The production cost of bio-IPA is potentially 70 % less than the fossil-derived IPA price. Additionally, the potential profits from bio-based IPA are estimated to be nearly double the market price of its primary raw material, sugar, demonstrating the economic feasibility of converting the first-generation biomass for sustainable IPA production. The study also explores the impact of facility clustering on transportation emissions and costs, revealing strategic approaches to expanding plant capacities in response to increasing demand. This research provides insights for designing sustainable industrial practices using first-generation biomass in the chemical industry.
期刊介绍:
Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.