Optimizing Bio-energy Supply Chain to Achieve Alternative Energy Targets
Jubin Thomas

TL;DR
This paper uses mathematical optimization to improve Thailand's bioenergy supply chain, demonstrating that resource enhancements and strategic planning can help meet renewable energy targets amidst supply challenges.
Contribution
It introduces a linear programming model to optimize Thailand's bioenergy supply chain, considering diverse resources and technologies, to support achieving national renewable energy goals.
Findings
Thailand has sufficient bio-mass resources to meet targets with improved supply chain efficiency.
Strategic enhancements like increased cultivation and new power plants are essential.
Utilizing high-methane fuels can reduce bio-mass demand.
Abstract
In response to global warming and the dwindling reservoirs of fossil fuels, Thailand has increasingly embraced alternative energy sources. Central to its energy development strategy is the Alternative Energy Development Plan (AEDP), which aims to reduce energy intensity, capitalize on residual resources, and mitigate greenhouse gas emissions. While significant strides have been made in meeting various consumption targets set forth by the AEDP, notable challenges persist, particularly in the realms of bio-mass-derived electricity generation, bio-gas utilization, and bio-ethanol production from bio-mass. Therefore, this study delves into the factors contributing to the shortfall in achieving AEDP targets and proposes strategies to enhance the efficiency of the bioenergy supply chain. Leveraging mathematical and linear programming techniques, our research optimizes the supply chain…
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Taxonomy
MethodsSparse Evolutionary Training
