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AI-driven optimization of photocatalytic hydrogen production: Integrating techno-economic analysis and regional environmental constraints | Synapse
March 3, 2026
AI-driven optimization of photocatalytic hydrogen production: Integrating techno-economic analysis and regional environmental constraints
JB
Juyoung Byun
Yonsei University
YK
Yurim Kim
Yonsei University
JL
Jonghun Lim
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Puntos clave
Hydrogen production can increase significantly through advanced AI-driven optimization techniques, implying greater efficiency.
The optimization model resulted in a 35% improvement in hydrogen yield, addressing regional environmental constraints.
Analysis presented relies on techno-economic assessment frameworks to identify optimal production setups and conditions.
Success in optimizing hydrogen production methods could lead to more sustainable energy solutions; further validation is necessary.
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Cite This Study
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Byun et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75d8ec6e9836116a27b2e
https://doi.org/https://doi.org/10.1016/j.rser.2026.116748