An AI-supported, blockchain-traceable system for blending sustainable aviation fuels that is compatible with conventional aviation turbine fuel.
DE202026103387U1Undetermined Publication Date: 2026-08-06BORAH RAJNANDAN +8
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Patent Information
- Authority / Receiving Office
- DE · DE
- Patent Type
- Utility models
- Current Assignee / Owner
- BORAH RAJNANDAN
- Filing Date
- 2026-06-10
- Publication Date
- 2026-08-06
Abstract
An AI-supported, blockchain-traceable blending system for sustainable aviation fuel compatible with conventional aviation turbine fuel, the system (100) comprising: a module (1) for processing sustainable feedstocks and bio-based aviation fuel fractions, configured to receive renewable petroleum feedstocks, pretreat the feedstocks, perform catalytic hydrotreatment, isomerization and fractionation, and produce a bio-based aviation fuel fraction in the kerosene range; a module (2) for receiving and compatibility testing of conventional aviation turbine fuel, configured to receive petroleum-derived aviation turbine fuel and provide baseline data on fuel properties and compatibility;an AI-powered engine (3) for mixture optimization and predictive quality control, configured to analyze raw material data, process data, conventional aviation turbine fuel data, additive data, nanoparticle data, and sensor data to generate an optimized mixture recipe; an automated mixing and additive / nanoparticle dosing module (4) configured to dose and mix the fraction of the bio-based aviation fuel, the conventional aviation turbine fuel, and selected additives or nanoparticle-based performance enhancers according to the optimized mixture recipe; an inline fuel quality and compatibility monitoring module (5) configured to measure flight-relevant properties of the blended fuel and provide feedback to the AI-powered engine for mixture optimization and predictive quality control (3);a blockchain traceability and immutable batch record module (6) configured to create a tamper-proof digital batch record for the origin of raw materials, process parameters, blending data, quality results and transfer of ownership; and a module (7) for aviation regulatory compliance, life cycle CO2 emissions and release management configured to evaluate the blended fuel against predefined acceptance criteria, life cycle CO2 targets and release conditions.
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