⚙️π Prediction and Analysis of Fuel Properties
By analyzing feedstock composition and HTC operating conditions, key solid fuel properties such as carbon content, calorific value, and hydrophobicity can be accurately predicted. Data-driven modeling improves process understanding and supports reliable performance optimization ππ§ͺ.
ππ Energy and Sustainability Impact
Optimized HTC enhances fuel stability, reduces moisture sensitivity, and improves combustion behavior. This approach enables cleaner solid biofuels, supports circular bioeconomy goals, and contributes to low-carbon energy systems for future applications πΏπ₯.
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