The present work studies fixed bed methanation reactor for the upgrading of biogas, which is expected to provide chemical energy storage for non-programmable sources. The dynamics of such systems can exhibit complex behaviors, that could make the numerical solution computationally expensive. In this work the influence of both the inlet temperature and the recycle ratio on the reactor dynamics are studied employing an empirically based reduced-order model allowing a significant reduction of computational time. Moreover, an assessment of the accuracy of the proposed reduced-order model enables its use within real-time control applications, or in speeding up the resolution of time-consuming optimization.
A Reduced Order Model for the Prediction of the Dynamics of a Methane Reactor
Cutillo E. A.;Mancusi E.
;Bizon K.;Bareschino P.;Continillo G.
2023-01-01
Abstract
The present work studies fixed bed methanation reactor for the upgrading of biogas, which is expected to provide chemical energy storage for non-programmable sources. The dynamics of such systems can exhibit complex behaviors, that could make the numerical solution computationally expensive. In this work the influence of both the inlet temperature and the recycle ratio on the reactor dynamics are studied employing an empirically based reduced-order model allowing a significant reduction of computational time. Moreover, an assessment of the accuracy of the proposed reduced-order model enables its use within real-time control applications, or in speeding up the resolution of time-consuming optimization.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
