constrained parameter search

1 article · search the full text for this term

• Published Subscription Original Research 10 Feb 2026

  Bayesian Optimization–Driven Operating Parameter Tuning for Maximizing Methane Yield in Anaerobic Digestion

  By Asit Chatterjee, Mahim Mathur, Anil Pal, Mukesh Kumar Gupta, Amit Tiwari, Adamya Gupta

  Abstract: To achieve maximum methane production in an anaerobic digestion (AD) process, a combination of various operational parameters must be tuned nonlinearly in the digestion ecosystem. The conventional trial and error optimization methods are slow, resource consuming, and in most instances, cannot model the intricate parameter interaction in biogas production. The current work introduces a Bayesian Optimization-based model to optimize the set of conditions to maximize the level of methane produced …

  Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article →