Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities

Carbon capture, utilization, and sequestration (CCUS) is a promising solution to decarbonize the energy and industrial sectors to mitigate climate change. An integrated assessment of technological options is required for the effective deployment of CCUS large-scale infrastructure between CO2 product...

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Veröffentlicht in:	The Science of the total environment Jg. 917; S. 170085
Hauptverfasser:	Al-Sakkari, Eslam G., Ragab, Ahmed, Dagdougui, Hanane, Boffito, Daria C., Amazouz, Mouloud
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 20.03.2024
Schlagworte:	artificial intelligence Artificial intelligence and machine Learning carbon Carbon capture, utilization and sequestration carbon dioxide climate change cost effectiveness energy environment infrastructure Life cycle assessment Material and process design process design Reinforcement Learning Simulation-based optimization supply chain Surrogate costing models Life cycle assessment Surrogate costing models Material and process design Reinforcement Learning Carbon capture, utilization and sequestration Artificial intelligence and machine Learning Simulation-based optimization
ISSN:	0048-9697, 1879-1026, 1879-1026
Online-Zugang:	Volltext
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