Development of a Python-Based Decision Support System for Evaluating Biomass Price Feasibility in Co-Firing Applications: Evidence from Riau, Indonesia

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Results show that 58.3% of biomass offers complied with regulatory thresholds, impacting energy policy.
The decision support system used 12 actual proposals to assess biomass price feasibility in Riau.
The study employed a Python-based tool with a graphical user interface for evaluating biomass prices.
These findings highlight the importance of computational tools in assessing renewable energy's economic viability.

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Analysis reveals price feasibility for biomass fuel in Riau, indicating potential for energy transition.

Ramadhan et al. (2025) studied this question.

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