A software-based predictive model for greenhouse gas mitigation: Towards environmental sustainability

In the last years research-based programs relevant to sustainability have been developed. Some technological research programs are focused on the design of systems and processes that can be useful for mitigating greenhouse gas emissions as CO2. To diminish the negative impact caused by CO2 for globa...

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Fecha de publicación:: 2018

Institución:: Universidad de Medellín

Repositorio:: Repositorio UDEM

Idioma:: eng

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Summary:	In the last years research-based programs relevant to sustainability have been developed. Some technological research programs are focused on the design of systems and processes that can be useful for mitigating greenhouse gas emissions as CO2. To diminish the negative impact caused by CO2 for global warming, its chemical transformation in Dimethyl Carbonate is a promising technology. Dimethyl Carbonate is a solvent with low toxicity and due to oxidative capacity can be used as fuel additive. In this work, the membrane reactor technology to improve the Dymethyl Carbonate production is explored from the perspective of modelling and simulation. As a result, a software-based model is implemented, in order to develop and couple different models for describing the membrane reactor. Simulation results showed that the membrane reactor, compared with conventional reactor, increase the reaction conversion and Dymethyl Carbonate production up to 67% and 78%, respectively. Finally, it can be seen that the solution obtained from software-based model allows to conclude that membrane reactor is a promising technology to mitigate CO2 emissions, allowing to achieve environmental sustainability. © 2018 AISTI.

A software-based predictive model for greenhouse gas mitigation: Towards environmental sustainability

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