TY - JOUR
T1 - ANALYSIS OF THE ROLE OF DRY REFORMING OF METHANE WITHIN A WASTE MANAGEMENT AND VALORIZATION SYSTEM FROM AN LCIA AND ENERGY PERFORMANCE PERSPECTIVE
AU - Martínez-Ramón, Nicolás
AU - Istrate, Ioan Robert
AU - Gálvez-Martos, José Luis
AU - Guerra, Sergio
AU - Cruz, Pedro L.
AU - Dufour, Javier
N1 - Publisher Copyright:
© 2023 ETA-Florence Renewable Energies.
PY - 2023
Y1 - 2023
N2 - This work aims to elucidate the potential of dry reforming of methane system within a municipal solid waste management system, from an energetic and life cycle assessment point of view. To do so, a set of Aspen plus simulations were developed and transposed into a computationally lighter artificial neural network regression model. This model was integrated within a MATLAB mass flow analysis superstructure representative of a modern waste management system. The superstructure is also a life cycle impact analysis tool capable of providing the performance of the system as a whole. This integrated assessment was elaborated for different scenarios, comparing the performance of different biogas valorization pathways for different energy uses. The fossil energy ratio was also calculated for the different energy products considered (electricity, biomethane and hydrogen).
AB - This work aims to elucidate the potential of dry reforming of methane system within a municipal solid waste management system, from an energetic and life cycle assessment point of view. To do so, a set of Aspen plus simulations were developed and transposed into a computationally lighter artificial neural network regression model. This model was integrated within a MATLAB mass flow analysis superstructure representative of a modern waste management system. The superstructure is also a life cycle impact analysis tool capable of providing the performance of the system as a whole. This integrated assessment was elaborated for different scenarios, comparing the performance of different biogas valorization pathways for different energy uses. The fossil energy ratio was also calculated for the different energy products considered (electricity, biomethane and hydrogen).
KW - dry reforming of methane
KW - hydrogen
KW - life cycle assessment
KW - machine learning
KW - waste to energy
UR - https://www.scopus.com/pages/publications/85174593491
M3 - Conference article
AN - SCOPUS:85174593491
SN - 2282-5819
SP - 86
EP - 96
JO - European Biomass Conference and Exhibition Proceedings
JF - European Biomass Conference and Exhibition Proceedings
T2 - 31st European Biomass Conference and Exhibition, EUBCE 2023
Y2 - 5 June 2023 through 8 June 2023
ER -