Perspective on artificial intelligence for carbon capture utilization and storage (CCUS) in Petrochemical Industry
The energy-intensive petrochemical industry contributes 14 % of global industrial emissions. In the face of climate change, there is an urgent need for the petrochemical industry transition to low carbon manufacturing. Deployment of carbon capture, utilization and storage (CCUS) technologies can eff...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-09-01
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| Series: | Carbon Capture Science & Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772656825001101 |
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| _version_ | 1849229217003208704 |
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| author | Jin Ma Yide Han Meihong Wang Weimin Zhong Wenli Du Feng Qian |
| author_facet | Jin Ma Yide Han Meihong Wang Weimin Zhong Wenli Du Feng Qian |
| author_sort | Jin Ma |
| collection | DOAJ |
| description | The energy-intensive petrochemical industry contributes 14 % of global industrial emissions. In the face of climate change, there is an urgent need for the petrochemical industry transition to low carbon manufacturing. Deployment of carbon capture, utilization and storage (CCUS) technologies can effectively reduce carbon emissions from the petrochemical industry. However, the large-scale deployment of CCUS faces the obstacles of high energy consumption and high cost. Artificial intelligence (AI) has shown great potential to accelerate the large-scale deployment of CCUS in the petrochemical industry. Nevertheless, most AI-based approaches are still largely at the research stage and not yet widely adopted in industrial practice. This paper explores four aspects of AI for petrochemical industry to reduce CO2 emission, including the solvent selection and design for carbon capture, catalyst design for CO2 utilisation, hybrid process modelling for optimal design and operation, and life cycle sustainability assessment. We evaluate different promising approaches for AI in each aspect and highlight our key findings, with the goal to accelerate the petrochemical industry transition to carbon neutrality. |
| format | Article |
| id | doaj-art-1f553ce2e69f42408f0042d825652fdf |
| institution | Kabale University |
| issn | 2772-6568 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Carbon Capture Science & Technology |
| spelling | doaj-art-1f553ce2e69f42408f0042d825652fdf2025-08-22T04:58:54ZengElsevierCarbon Capture Science & Technology2772-65682025-09-011610047110.1016/j.ccst.2025.100471Perspective on artificial intelligence for carbon capture utilization and storage (CCUS) in Petrochemical IndustryJin Ma0Yide Han1Meihong Wang2Weimin Zhong3Wenli Du4Feng Qian5Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, PR ChinaSchool of Chemical, Materials and Biological Engineering, The University of Sheffield, Sheffield S1 3JD, UKKey Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, PR China; School of Chemical, Materials and Biological Engineering, The University of Sheffield, Sheffield S1 3JD, UK; Corresponding authors.Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, PR ChinaKey Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, PR ChinaKey Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, PR China; Corresponding authors.The energy-intensive petrochemical industry contributes 14 % of global industrial emissions. In the face of climate change, there is an urgent need for the petrochemical industry transition to low carbon manufacturing. Deployment of carbon capture, utilization and storage (CCUS) technologies can effectively reduce carbon emissions from the petrochemical industry. However, the large-scale deployment of CCUS faces the obstacles of high energy consumption and high cost. Artificial intelligence (AI) has shown great potential to accelerate the large-scale deployment of CCUS in the petrochemical industry. Nevertheless, most AI-based approaches are still largely at the research stage and not yet widely adopted in industrial practice. This paper explores four aspects of AI for petrochemical industry to reduce CO2 emission, including the solvent selection and design for carbon capture, catalyst design for CO2 utilisation, hybrid process modelling for optimal design and operation, and life cycle sustainability assessment. We evaluate different promising approaches for AI in each aspect and highlight our key findings, with the goal to accelerate the petrochemical industry transition to carbon neutrality.http://www.sciencedirect.com/science/article/pii/S2772656825001101Carbon capture, utilisation and storage (CCUS)Petrochemical industryArtificial IntelligenceSolvent selection and designCatalyst DesignSustainability |
| spellingShingle | Jin Ma Yide Han Meihong Wang Weimin Zhong Wenli Du Feng Qian Perspective on artificial intelligence for carbon capture utilization and storage (CCUS) in Petrochemical Industry Carbon Capture Science & Technology Carbon capture, utilisation and storage (CCUS) Petrochemical industry Artificial Intelligence Solvent selection and design Catalyst Design Sustainability |
| title | Perspective on artificial intelligence for carbon capture utilization and storage (CCUS) in Petrochemical Industry |
| title_full | Perspective on artificial intelligence for carbon capture utilization and storage (CCUS) in Petrochemical Industry |
| title_fullStr | Perspective on artificial intelligence for carbon capture utilization and storage (CCUS) in Petrochemical Industry |
| title_full_unstemmed | Perspective on artificial intelligence for carbon capture utilization and storage (CCUS) in Petrochemical Industry |
| title_short | Perspective on artificial intelligence for carbon capture utilization and storage (CCUS) in Petrochemical Industry |
| title_sort | perspective on artificial intelligence for carbon capture utilization and storage ccus in petrochemical industry |
| topic | Carbon capture, utilisation and storage (CCUS) Petrochemical industry Artificial Intelligence Solvent selection and design Catalyst Design Sustainability |
| url | http://www.sciencedirect.com/science/article/pii/S2772656825001101 |
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