Harnessing the Influence of Pressure and Nutrients on Biological CO₂ Methanation Using Response Surface Methodology and Artificial Neural Network—Genetic Algorithm Approaches

The biological methanation process has emerged as a promising alternative to thermo-catalytic methods due to its ability to operate under milder conditions. However, challenges such as low hydrogen solubility and the need for precise trace element supplementation (Fe(II), Ni(II), Co(II)) constrain m...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Alexandros Chatzis, Konstantinos N. Kontogiannopoulos, Nikolaos Dimitrakakis, Anastasios Zouboulis, Panagiotis G. Kougias
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	MDPI AG 2025-01-01
سلاسل:	Fermentation
الموضوعات:	biomethanation trace elements CO<sub>2</sub> utilization optimization machine learning
الوصول للمادة أونلاين:	https://www.mdpi.com/2311-5637/11/1/43
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!