Optimal control strategy based on artificial intelligence applied to a continuous dark fermentation reactor for energy recovery from organic wastes

Optimal control strategy based on artificial intelligence applied to a continuous dark fermentation reactor for energy recovery from organic wastes

Dark fermentation process from low-cost renewable substrates for simultaneous wastewater treatment and hydrogen production (H2) is suitable due to economic viability and environmental sustainability. This work explores the application of an innovative control strategy in a scale fermentation bioreac...

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Bibliographic Details
Main Authors: Kelly Joel Gurubel Tun, Elizabeth León-Becerril, Octavio García-Depraect
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Green Energy and Resources
Subjects:
Dark fermentation
Neural predictive control
Support vector machine
Optimization
Hydrogen production
Wastewater
Online Access:http://www.sciencedirect.com/science/article/pii/S2949720524000663
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