(236g) Scale up Analysis of Inductively Heated Metamaterial Reactors
AIChE Annual Meeting
2024
2024 AIChE Annual Meeting
Topical Conference: Sustainable (Lower Carbon-Intensive) Energy Solutions: The Art of Scale-up and/or Scale-out
Thermochemical pathways
Monday, October 28, 2024 - 5:30pm to 5:50pm
In this work, we explore the potential for scaling up inductively heated reactor systems using a combination of analytical modeling, numerical simulations, and experiments. We will show that heating efficiency, defined as the conversion of external electricity to energy consumed by the chemical reaction process, increases towards values over 90% as the reactor scales up, and that heating efficiency is fundamentally limited by AC-DC electrical power conversion efficiency. This study builds on previous work where we demonstrated a high-efficiency induction-heating reactor termed a metamaterial reactor. Our prototype reactor has a 1.5-inch diameter and utilizes an open-cell SiSiC foam baffle that simultaneously serves as a heating susceptor and catalyst support. Proper tailoring of SiSiC foam's effective electrical conductivity and induction frequency led to reactor conditions supporting uniform radial temperature distributions and a heating efficiency 87%, and we showed that the reactor could be used to perform the reverse water-gas shift (RWGS) reaction across a temperature range of 500 â 650 °C with ideal plug flow behavior.
To analytically deduce efficiency scaling trends with metamaterial reactors, we develop a model that investigates power consumption within the reactor system, as decomposed by useful contributions (i.e., heating of the inlet gas stream and reaction enthalpy) and parasitic contributions (i.e., energy loss via thermal conduction, induction coil heating, and energy dissipation in the amplifier). In our model, we consider the scaling of each linear dimension of the reactor (i.e., diameter and height) by a factor ð½, and we adjust gas flow rates to keep mass flow per reactor volume constant. Utilizing our experimental data and analytical expressions to evaluate each component, we establish that these factors scale differently with ð½âgas heating, reaction enthalpy, and amplifier loss are proportional to ð½3, coil loss is proportional to ð½2, and thermal conduction loss is proportional to ð½. As a result, when projecting these effects for larger reactors, our model anticipates an enhanced overall energy efficiency surpassing 90% when reactor radius approaching 0.25 m, and that the cap in total efficiency is set by the efficiency of the power amplifier.
Numerically, we construct a multiphysics model (implemented in COMSOL Multiphysics) to further investigate the temperature distribution and power consumption characteristics of our reactors. These models combine and couple electromagnetic, heat-transfer, and computational fluid dynamics simulations. Our simulation is first constructed and refined to fit our experimental results and analytical modeling. The model is then extended to scaled up reactor systems to investigate how the heating and temperature profiles evolve as the reactor scales up. The simulations reveal that our inductively heated reactors are capable of sustaining a uniform radial temperature profile and enhanced efficiency as it scales, due to its ability to support volumetric heating capabilities. We also analyze wall-heated reactors and find that they support radial temperature gradients that become increasingly non-uniform as the reactor is scaled up.
To complement these theoretical findings, we experimentally construct reactors with diameters of 1.5 inches and 3 inches and perform the RWGS reaction within each reactor. In this scale up effort, the effective conductivity (Ï) of the SiSiC baffle is adjusted such that the penetration depth of the magnetic field into the reactor (skin depth, δ = â(1/ÏÏfμ0)) scales with the reactor radius. Through an energy consumption analysis and the experimental characterization of temperature profiles within the reactors, we show that the heating efficiency of the reactors increase with reactor diameter in a manner that agrees well with analytic and numerical modeling.