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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 11: IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations

Latent Space Simulation for Carbon Capture Design Optimization

February 1, 2023

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Authors

Brian Bartoldson

Lawrence Livermore National Laboratory


Rui Wang

University of California San Diego Lawrence Livermore National Laboratory


Yucheng Fu

Pacific Northwest National Laboratory


David Widemann

Lawrence Livermore National Laboratory


Sam Nguyen

Lawrence Livermore National Laboratory


Jie Bao

Pacific Northwest National Laboratory


Zhijie Xu

Pacific Northwest National Laboratory


Brenda Ng

Lawrence Livermore National Laboratory


DOI:

10.1609/aaai.v36i11.21511


Abstract:

The CO2 capture efficiency in solvent-based carbon capture systems (CCSs) critically depends on the gas-solvent interfacial area (IA), making maximization of IA a foundational challenge in CCS design. While the IA associated with a particular CCS design can be estimated via a computational fluid dynamics (CFD) simulation, using CFD to derive the IAs associated with numerous CCS designs is prohibitively costly. Fortunately, previous works such as Deep Fluids (DF) (Kim et al., 2019) show that large simulation speedups are achievable by replacing CFD simulators with neural network (NN) surrogates that faithfully mimic the CFD simulation process. This raises the possibility of a fast, accurate replacement for a CFD simulator and therefore efficient approximation of the IAs required by CCS design optimization. Thus, here, we build on the DF approach to develop surrogates that can successfully be applied to our complex carbon-capture CFD simulations. Our optimized DF-style surrogates produce large speedups (4000x) while obtaining IA relative errors as low as 4% on unseen CCS configurations that lie within the range of training configurations. This hints at the promise of NN surrogates for our CCS design optimization problem. Nonetheless, DF has inherent limitations with respect to CCS design (e.g., limited transferability of trained models to new CCS packings). We conclude with ideas to address these challenges.

Topics: AAAI

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HOW TO CITE:

Brian Bartoldson||Rui Wang||Yucheng Fu||David Widemann||Sam Nguyen||Jie Bao||Zhijie Xu||Brenda Ng Latent Space Simulation for Carbon Capture Design Optimization Proceedings of the AAAI Conference on Artificial Intelligence (2022) 12447-12453.

Brian Bartoldson||Rui Wang||Yucheng Fu||David Widemann||Sam Nguyen||Jie Bao||Zhijie Xu||Brenda Ng Latent Space Simulation for Carbon Capture Design Optimization AAAI 2022, 12447-12453.

Brian Bartoldson||Rui Wang||Yucheng Fu||David Widemann||Sam Nguyen||Jie Bao||Zhijie Xu||Brenda Ng (2022). Latent Space Simulation for Carbon Capture Design Optimization. Proceedings of the AAAI Conference on Artificial Intelligence, 12447-12453.

Brian Bartoldson||Rui Wang||Yucheng Fu||David Widemann||Sam Nguyen||Jie Bao||Zhijie Xu||Brenda Ng. Latent Space Simulation for Carbon Capture Design Optimization. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.12447-12453.

Brian Bartoldson||Rui Wang||Yucheng Fu||David Widemann||Sam Nguyen||Jie Bao||Zhijie Xu||Brenda Ng. 2022. Latent Space Simulation for Carbon Capture Design Optimization. "Proceedings of the AAAI Conference on Artificial Intelligence". 12447-12453.

Brian Bartoldson||Rui Wang||Yucheng Fu||David Widemann||Sam Nguyen||Jie Bao||Zhijie Xu||Brenda Ng. (2022) "Latent Space Simulation for Carbon Capture Design Optimization", Proceedings of the AAAI Conference on Artificial Intelligence, p.12447-12453

Brian Bartoldson||Rui Wang||Yucheng Fu||David Widemann||Sam Nguyen||Jie Bao||Zhijie Xu||Brenda Ng, "Latent Space Simulation for Carbon Capture Design Optimization", AAAI, p.12447-12453, 2022.

Brian Bartoldson||Rui Wang||Yucheng Fu||David Widemann||Sam Nguyen||Jie Bao||Zhijie Xu||Brenda Ng. "Latent Space Simulation for Carbon Capture Design Optimization". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.12447-12453.

Brian Bartoldson||Rui Wang||Yucheng Fu||David Widemann||Sam Nguyen||Jie Bao||Zhijie Xu||Brenda Ng. "Latent Space Simulation for Carbon Capture Design Optimization". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 12447-12453.

Brian Bartoldson||Rui Wang||Yucheng Fu||David Widemann||Sam Nguyen||Jie Bao||Zhijie Xu||Brenda Ng. Latent Space Simulation for Carbon Capture Design Optimization. AAAI[Internet]. 2022[cited 2023]; 12447-12453.


ISSN: 2374-3468


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