SYNERGISING LIVESTOCK AND AGRICULTURAL BY-PRODUCTS FOR BIOENERGY PRODUCTION: AN INTEGRATED 20-YEAR FORECAST USING ARTIFICIAL INTELLIGENCE TECHNIQUES

Aligning with global renewable energy strategies and sustainable agricultural practices, this research showcases a pioneering study on using agricultural and livestock by-products for bioenergy production. We detailed a 20-year forecast to evaluate the bioenergy potential from agricultural waste in Jianghan Plain, China. By integrating diverse datasets, including climate and environmental data, satellite imagery, policy directives, and field surveys, the study employs Artificial Neural Networks (ANN) for precise bioenergy potential predictions in crop residues and future trends in manure production. Results indicate an average annual bioenergy potential of 4.37×1011 kJ from 2001 to 2020, with projections indicating an increase to 5.33×1011 kJ by 2030. The findings illustrate a substantial bioenergy potential with a significant shift from crop straws to livestock manure as the mixed primary sources, underscoring the need for localised bioenergy strategies. This research offers valuable insights into sustainable bioenergy utilisation, contributing to the discourse on renewable energy and climate change mitigation.