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Ammonia decomposition via induction heating requires precise spatial power modulation to balance throughput enhancement against strict catalyst thermal constraints. To resolve the inherent axial thermal mismatch, this study develops a multiphysics model coupling electromagnetic, thermal, fluid flow, and reaction fields to optimize reactor performance. A kinetics-guided segmented variable-turn coil strategy is proposed to tailor the local heat input profile according to the reaction's endothermic demand. Results demonstrate that this front-loaded coil configuration successfully eliminates downstream thermal redundancy, reducing thermal energy consumption by 19.3% (to 0.251 kW h·Nm −3 ) at a fixed flow rate of 1.1 Nm 3 ·h −1 . Furthermore, under a strict catalyst temperature limit (≤600 °C), this optimized strategy expands the operational window, boosting the maximum ammonia processing capacity by 209% (to 3.4 Nm 3 ·h −1 ). These findings provide a rational design framework for efficient, on-demand hydrogen supply.
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Huang et al. (2026) studied this question.
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