Raymond R Tan , Maria Victoria Migo-Sumagang , Kathleen B Aviso
{"title":"Recent trends in optimization models for industrial decarbonization","authors":"Raymond R Tan , Maria Victoria Migo-Sumagang , Kathleen B Aviso","doi":"10.1016/j.coche.2025.101118","DOIUrl":null,"url":null,"abstract":"<div><div>The global call for deep decarbonization poses the critical challenge of cutting greenhouse gas emissions from industrial operations. Decarbonization can be achieved with a mix of strategies and technologies, but decision-support models are needed to help optimize their emissions reduction portfolios. This review surveys the development and use of models to support industrial decarbonization decisions and proposes a research roadmap for the future. Four key modeling challenges are identified: epistemic uncertainties inherent in new technologies, feedback loops between techno-economic performance and technology selection, the interplay between multiple decision-makers, and embedding within a broader decarbonization context.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"48 ","pages":"Article 101118"},"PeriodicalIF":8.0000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211339825000292","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The global call for deep decarbonization poses the critical challenge of cutting greenhouse gas emissions from industrial operations. Decarbonization can be achieved with a mix of strategies and technologies, but decision-support models are needed to help optimize their emissions reduction portfolios. This review surveys the development and use of models to support industrial decarbonization decisions and proposes a research roadmap for the future. Four key modeling challenges are identified: epistemic uncertainties inherent in new technologies, feedback loops between techno-economic performance and technology selection, the interplay between multiple decision-makers, and embedding within a broader decarbonization context.
期刊介绍：
Current Opinion in Chemical Engineering is devoted to bringing forth short and focused review articles written by experts on current advances in different areas of chemical engineering. Only invited review articles will be published.
The goals of each review article in Current Opinion in Chemical Engineering are:
1. To acquaint the reader/researcher with the most important recent papers in the given topic.
2. To provide the reader with the views/opinions of the expert in each topic.
The reviews are short (about 2500 words or 5-10 printed pages with figures) and serve as an invaluable source of information for researchers, teachers, professionals and students. The reviews also aim to stimulate exchange of ideas among experts.
Themed sections:
Each review will focus on particular aspects of one of the following themed sections of chemical engineering:
1. Nanotechnology
2. Energy and environmental engineering
3. Biotechnology and bioprocess engineering
4. Biological engineering (covering tissue engineering, regenerative medicine, drug delivery)
5. Separation engineering (covering membrane technologies, adsorbents, desalination, distillation etc.)
6. Materials engineering (covering biomaterials, inorganic especially ceramic materials, nanostructured materials).
7. Process systems engineering
8. Reaction engineering and catalysis.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
