Accelerating process design for direct air capture: Bayesian optimization of temperature-vacuum swing adsorption with fiber sorbents

Solid sorbent-based direct air capture (DAC) is a key carbon dioxide removal strategy, yet its process optimization remains challenging due to the need to simultaneously address multiple, high-dimensional objectives. These include maximizing CO2 capture capacity, minimizing operating costs, and redu...

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Autores principales:	Jinhong Jeong, Mujin Cheon, Banseok Oh, Aqil Jamal, Jay H. Lee, Dong-Yeun Koh
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2025-12-01
Colección:	Carbon Capture Science & Technology
Materias:	Direct air capture Bayesian optimization Temperature-vacuum swing adsorption Fiber sorbent Operational Expenditure
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2772656825001630
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