Artificial Intelligence for Renewable Energy Systems

4Artificial Intelligence for Modeling and Optimization of the Biogas Production

Narendra Khatri¹* and Kamal Kishore Khatri²

¹Department of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

²Department of Mechanical-Mechatronics Engineering, The LNM Institute of Information Technology, Jaipur, Rajasthan, India

Abstract

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.

Keywords: Artificial intelligence, artificial neural network, evolutionary algorithms, genetic algorithm, ...