3158. Optimising the Biorefinery Supply Chain: A GIS-Based Multi-Objective Approach for Sustainable Bioenergy Production
Invited abstract in session MD-3: EPOCG, stream EURO Prize for OR for the Common Good.
Monday, 14:30-16:00Room: Esther Simpson 1.01
Authors (first author is the speaker)
| 1. | Maryam Roudneshin
|
| University College Dublin | |
| 2. | Amanda Sosa
|
| School of Biosystems Engineering, University College Dublin |
Abstract
The global push towards renewable energy sources is crucial for combating climate change and ensuring energy security. This research presents an innovative supply chain model that enables the efficient and sustainable utilization of agricultural waste for bioenergy production. This contributes to a circular economy by reducing waste, minimizing carbon emissions, and promoting energy independence. The methodology has been tested using real-world data from Ireland and can be adapted to other regions facing similar challenges in agricultural waste management and bioenergy planning.
This study integrates multi-objective optimization, Geographic Information Systems (GIS), and economic modeling to develop a robust decision-support system for policymakers, farmers, and energy producers. By combining spatial data analysis with advanced mathematical modeling, an approach have been designed that balances economic viability, environmental sustainability, and logistical feasibility.
Keywords
- Strategic Planning and Management
- Sustainable Development
- Engineering Optimization
Status: accepted
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