Artificial intelligence for modeling and optimization of the biogas production

Narendra Khatri, Kamal Kishore Khatri

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)


The artificial intelligence (AI) is emerging nowadays, making human life easier. As the area of renewable energy is growing significantly for the sustainable development, the deployment of AI can help greatly to achieve its goals. The biogas is source of renewable energy, which is generated from the anaerobic digestion of the biomass, cow dung, wastewater sludge, and kitchen waste, etc. Anaerobic digestion is a non-linear biological process where biomass is digested to generate biogas and slurry in the absence of oxygen. AI models have been developed for the prediction of yield and energy content of the produced biogas. This chapter presents a comprehensive review of AI techniques for the modeling of the biogas production process. The literature on the applications of artificial neural network models and evolutionary algorithms related to anaerobic digestion has been compiled and synthesized. The integration of appropriate AI technique in biogas has been reviewed for optimum biogas production round the year.

Original languageEnglish
Title of host publicationArtificial Intelligence for Renewable Energy Systems
Number of pages21
ISBN (Electronic)9781119761716
ISBN (Print)9781119761693
Publication statusPublished - 07-02-2022

All Science Journal Classification (ASJC) codes

  • Computer Science(all)


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