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EUBCE 2024 - Zhan SHI - Synergizing Livestock and Agricultural By-Products for Bioenergy Production: An Integrated 20-Year Forecast Using Artificial Intelligence Techniques

Synergizing Livestock and Agricultural By-Products for Bioenergy Production: An Integrated 20-Year Forecast Using Artificial Intelligence Techniques

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Biomass resources and potentials

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

Moderator portrait

Zhan SHI

University of Padova, Territorio e Sistemi Agro-Forestali Dpt., ITALY

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:

Z. Shi, University of Padova, ITALY
P. AI, Huazhong Agricultural University, Wuhan, P.R. CHINA
A. Pezzuolo, University of Padova, ITALY

Session reference: 1AO.4.3