Date: Monday, 24 June 2024
Time: 16:15 - 17:15 CEST
Session code 1AO.4
Biomass resources, related land-use impacts and emissions
Synergizing Livestock and Agricultural By-Products for Bioenergy Production: An Integrated 20-Year Forecast Using Artificial Intelligence Techniques
Short Introductive summary
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 using deep learning 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 a substantial bioenergy potential with a significant shift from agricultural residues, i.e., straw, to livestock residues, i.e., manure, as the primary sources, highlighting the need for localized bioenergy strategies. This research offers valuable insights into sustainable bioenergy utilization, contributing to the discourse on renewable energy and climate change mitigation.
Presenter
Zhan SHI
University of Padova, Territorio e Sistemi Agro-Forestali Dpt.
Presenter's biography
A PhD student at the University of Padova. Research on Agricultural Bioenergy Potential.
Biographies and Short introductive summaries are supplied directly by presenters and are published here unedited
Co-authors:
P. AI, Huazhong Agricultural University, Wuhan, P.R. CHINA
A. Pezzuolo, University of Padova, ITALY
Session reference: 1AO.4.3