Imperial College London


Faculty of EngineeringDepartment of Chemical Engineering

Reader in Process Systems Engineering



b.chachuat Website




354ARoderic Hill BuildingSouth Kensington Campus






BibTex format

author = {Rodríguez-Vallejo, DF and Galán-Martín, Á and Guillén-Gosálbez, G and Chachuat, B},
booktitle = {Computer Aided Chemical Engineering},
doi = {10.1016/B978-0-12-818634-3.50056-4},
pages = {331--336},
title = {Targeting of sustainable chemical processes using data envelopment analysis: application to liquid fuels for transportation},
url = {},
year = {2019}

RIS format (EndNote, RefMan)

AB - © 2019 Elsevier B.V. In this paper we proposed a framework aimed to improve the sustainability of chemical processes based on the combination of data envelopment analysis and process system engineering tools. Given a set of chemical process alternatives, each characterised by techno-economic and environmental performance indicators, the framework discerns between efficient (optimal) and inefficient (suboptimal) processes in the sense of these indicators. We develop an approach to quantifying the closest targets for an inefficient process to become efficient, while avoiding unattainable targets by accounting for thermodynamic limitations in that process in terms of mass and energy flow constraints. We demonstrate the capabilities of the framework through a case study that involves the assessment of a methanol production process with CO2 captured from power plants and H2 derived from fossil fuels, in comparison to ten fuel alternatives. We find that this methanol fuel is presently suboptimal in comparison with other fuels. Making it competitive would require a significant reduction in hydrogen price, which is unrealistic in the short term. Alternatively, the methanol fuel could become competitive upon combining H2 derived from fossil fuels with sustainably produced H2 via wind-powered electrolysis.
AU - Rodríguez-Vallejo,DF
AU - Galán-Martín,Á
AU - Guillén-Gosálbez,G
AU - Chachuat,B
DO - 10.1016/B978-0-12-818634-3.50056-4
EP - 336
PY - 2019///
SP - 331
TI - Targeting of sustainable chemical processes using data envelopment analysis: application to liquid fuels for transportation
T1 - Computer Aided Chemical Engineering
UR -
ER -