Journal
CHEMICAL ENGINEERING RESEARCH & DESIGN
Volume 137, Issue -, Pages 246-264Publisher
INST CHEMICAL ENGINEERS
DOI: 10.1016/j.cherd.2018.07.009
Keywords
Sustainable process design; Surrogate modeling; Life cycle assessment; Multi-objective optimization; Objective-reduction; Data envelopment analysis
Categories
Funding
- Spanish Ministerio de Ciencia y Competitividad [CTQ2016-77968-C3-1-P]
- Mexican Consejo Nacional de Ciencia y Tecnologia (CONACyT)
Ask authors/readers for more resources
Developing computer aided tools for process design is of paramount importance in the transition toward a more sustainable chemical industry. In this work, we present a framework to incorporate sustainability principles in the design of chemical processes that combines a palette of tools, including life cycle assessment, surrogate modeling, objective reduction, multi-objective optimization and data envelopment analysis (DEA). The latter methodology facilitates the post-optimal analysis of the Pareto front by narrowing down the number of designs and ranking them without the need to define weights in an explicit manner. DEA provides in turn improvement targets for the suboptimal alternatives that if attained would make them optimal, thereby guiding retrofit efforts toward the most effective actions based on benchmarking them against the best technologies available. The capabilities of the framework are demonstrated in a case study based on the production of methanol from CO2 and hydrogen. (C) 2018 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available