151. Optimising the Biorefinery Supply Chain: A GIS-Based Multi-Objective Approach for Sustainable Bioenergy Production
Invited abstract in session TC-59: Innovations for a Greener City and Sustainable Urban Logistics I, stream Transportation.
Tuesday, 12:30-14:00Room: Liberty 1.14
Authors (first author is the speaker)
| 1. | Maryam Roudneshin
|
| University College Dublin | |
| 2. | Amanda Sosa
|
| School of Biosystems Engineering, University College Dublin |
Abstract
The strategic utilisation of biomass, particularly seaweed and agriwaste, presents a significant opportunity for advancing renewable energy production and fostering a circular bioeconomy. This study develops a data-driven framework for optimising biomass supply chain networks by integrating Geographic Information Systems (GIS) and the Analytical Hierarchy Process (AHP). The model evaluates multiple economic, environmental, and logistical factors to determine the most suitable locations for biorefineries, ensuring efficiency in feedstock collection, transportation, and processing. By incorporating spatial and multi-criteria decision analysis, the proposed approach enhances supply chain resilience and supports informed decision-making for sustainable bioenergy development. The findings offer valuable insights for policymakers and industry stakeholders, promoting the effective deployment of marine biomass resources in the transition towards a low-carbon economy.
Keywords
- Sustainable Development
- Programming, Mixed-Integer
- Programming, Multi-Objective
Status: accepted
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