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.
|Title of host publication||Artificial Intelligence for Renewable Energy Systems|
|Number of pages||21|
|Publication status||Published - 07-02-2022|
All Science Journal Classification (ASJC) codes
- Computer Science(all)