Biomass Blending Tool
This web application uses Linear Programming (LP) to optimize the supply chain and location strategy for biomass gasification plants in Thailand. By integrating spatial data with chemical composition requirements, the tool identifies the most cost-effective sourcing and logistics pathways.
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Key Features
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Composition Targeting: Automatically calculates the optimal mix of biomass (e.g., rice husk, sugarcane bagasse, palm shells) to meet specific Carbon (C) and Hydrogen (H) percentage targets for efficient gasification.
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Logistics Cost Minimization: Factors in truck parameters, fuel prices, and regional distances to minimize total transportation and feedstock expenditures.
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Supply Chain Resilience: Ensures the selected locations meet a Minimum Total Supply Requirement based on regional biomass availability.​​
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Note:
** daf: dry ash-free basis
** The input fields within the web application are pre-filled with default values derived from various academic and industrial records. The target levels for carbon and hydrogen are based on specific
** biomass compositions designed to maximize hydrogen production while minimizing carbon dioxide emissions during the gasification process, as established by Jaiyen et al. (2026).
** Regarding economic data, the biomass costs reflect the purchase prices set by Absolute Clean Energy (ACE) between February 12 and 18, 2021.
** The fuel price was based on the retail price of diesel in Thailand recorded on May 17, 2024. Other truck parameters were sourced from the research conducted by Karpkerd (2021).