Autor segons l'article: Magdalena Olkiewicz; Carmen M. Torres; Laureano Jiménez; Josep Font; Christophe Bengoa
Departament: Enginyeria Química
Autor/s de la URV: OLKIEWICZ, MAGDALENA; TORRES COSTA, CARMEN MARIA; JIMÉNEZ ESTELLER, LAUREANO; FONT CAPAFONS, JOSÉ; BENGOA, CHRISTOPHE JOSÉ
Paraules clau: Process modelling sewage sludge Biodiesel Economic evaluation
Resum: Municipal wastewater sludge is a promising lipid feedstock for biodiesel production, but the need to eliminate the high water content before lipid extraction is the main limitation for scaling up. This study evaluates the economic feasibility of biodiesel production directly from liquid primary sludge based on experimental data at laboratory scale. Computational tools were used for the modelling of the process scale-up and the different configurations of lipid extraction to optimise this step, as it is the most expensive. The operational variables with a major influence in the cost were the extraction time and the amount of solvent. The optimised extraction process had a break-even price of biodiesel of 1232 $/t, being economically competitive with the current cost of fossil diesel. The proposed biodiesel production process from waste sludge eliminates the expensive step of sludge drying, lowering the biodiesel price.
Grup de recerca: Process Intensification, Simulation and Environment Technology (PI-SET) Sustainable Computer Aided Process Engineering
Àrees temàtiques: Enginyeria química Ingeniería química Chemical engineering
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0960-8524
Identificador de l'autor: 0000-0002-9849-6715; 0000-0001-6322-5862; 0000-0002-3186-7235; 0000-0002-4007-7905; 0000-0001-9160-5010
Data d'alta del registre: 2016-05-19
Pàgina final: 131
Volum de revista: 214
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Enllaç font original: https://www.sciencedirect.com/science/article/abs/pii/S0960852416305946?via%3Dihub
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1016/j.biortech.2016.04.098
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2016
Pàgina inicial: 122
Tipus de publicació: Article Artículo Article
Repositori URV