Sampriti Chattopadhyay, Keerthana Karthikeyan, Rahul Gandhi, Ignacio E. Grossmann, Ana I. Torres
{"title":"Optimal Retrofit of Carbon Capture and Electrification Technologies in Oil Refineries for Reducing Direct CO2 Emissions","authors":"Sampriti Chattopadhyay, Keerthana Karthikeyan, Rahul Gandhi, Ignacio E. Grossmann, Ana I. Torres","doi":"10.1021/acs.iecr.4c04995","DOIUrl":null,"url":null,"abstract":"The chemical industry is making significant investments in clean energy technologies, such as green hydrogen, carbon capture and storage, electric heating, and electrochemical processes to reduce carbon emissions. However, uncertainties regarding investments in recent technologies, fluctuating electricity and carbon prices, and the need to balance existing infrastructure with new ones complicate the transition. In this study, we develop a mixed-integer linear programming formulation to determine the most cost-effective transition for the decarbonization of oil refineries, incorporating electrification for steam generation, green hydrogen production, or carbon capture for blue hydrogen production and other emission sources. Two case studies that consider different refinery configurations are presented. Overall, the results of our simulations indicate that (i) natural gas with carbon capture is more economically favorable than electricity-based options, unless there are significant reductions in electricity prices or stricter emission regulations are imposed; (ii) carbon taxes or credits drive earlier adoption of capture technologies but do not promote electrification.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"12 1","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industrial & Engineering Chemistry Research","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1021/acs.iecr.4c04995","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The chemical industry is making significant investments in clean energy technologies, such as green hydrogen, carbon capture and storage, electric heating, and electrochemical processes to reduce carbon emissions. However, uncertainties regarding investments in recent technologies, fluctuating electricity and carbon prices, and the need to balance existing infrastructure with new ones complicate the transition. In this study, we develop a mixed-integer linear programming formulation to determine the most cost-effective transition for the decarbonization of oil refineries, incorporating electrification for steam generation, green hydrogen production, or carbon capture for blue hydrogen production and other emission sources. Two case studies that consider different refinery configurations are presented. Overall, the results of our simulations indicate that (i) natural gas with carbon capture is more economically favorable than electricity-based options, unless there are significant reductions in electricity prices or stricter emission regulations are imposed; (ii) carbon taxes or credits drive earlier adoption of capture technologies but do not promote electrification.
期刊介绍:
ndustrial & Engineering Chemistry, with variations in title and format, has been published since 1909 by the American Chemical Society. Industrial & Engineering Chemistry Research is a weekly publication that reports industrial and academic research in the broad fields of applied chemistry and chemical engineering with special focus on fundamentals, processes, and products.