期刊
CHEMICAL ENGINEERING RESEARCH & DESIGN
卷 137, 期 -, 页码 246-264出版社
INST CHEMICAL ENGINEERS
DOI: 10.1016/j.cherd.2018.07.009
关键词
Sustainable process design; Surrogate modeling; Life cycle assessment; Multi-objective optimization; Objective-reduction; Data envelopment analysis
资金
- Spanish Ministerio de Ciencia y Competitividad [CTQ2016-77968-C3-1-P]
- Mexican Consejo Nacional de Ciencia y Tecnologia (CONACyT)
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据