Multi-criteria decision analysis for the selection of sustainable chemical process routes during early design stages
Artículo
Open/ Download
Publication date
2016Metadata
Show full item record
Cómo citar
Serna, Juliana
Cómo citar
Multi-criteria decision analysis for the selection of sustainable chemical process routes during early design stages
Author
Abstract
Decision-making for sustainable design requires the evaluation of different options considering all sustainability dimensions simultaneously: economic, environmental and social. Each dimension has a specific relative importance, which depends on the process that is being assessed. The determination of the relative importance is not a simple task, principally, during early design stages when detailed information about the process is scarce, and when core decisions affecting the entire design are made. An example of this kind of decisions during early design stages is the selection of the chemical process route, which, once defined, provides the guidelines for the process design. The present study proposes a multi-criteria analysis based methodology to evaluate different chemical process route options under sustainability criteria and to guide the selection among them. The methodology uses normalized indicators to assess each sustainability dimension, and a multi-criteria analysis method (MCDA) to calculate the weights and influences between dimensions. Indicators, dimension weights and influences are integrated into the Sustainable Cumulative Index (SCI) that can be used to compare chemical process route options in sustainability terms and to support their selection. The proposed methodology is illustrated through the assessment and selection of a chemical process route to produce ethyl acetate. (C) 2016 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
Indexation
Artículo de publicación ISI
Quote Item
Chemical Engineering Research & Design. Volumen: 113 Páginas: 28-49
Collections
The following license files are associated with this item:
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile
Related items
Showing items related by title, author, creator and subject.
-
Wu, Jinsong; Guo, Song; Li, Jie; Zeng, Deze (2016)Big data are widely recognized as being one of the most powerful drivers to promote productivity, improve efficiency, and support innovation. It is highly expected to explore the power of big data and turn big data into ...
-
Mac Lean, Claudia; Vargas, Luis Santiago; Uribe, Gonzalo; Aldea, Cristian; Lares, Lorna; Mercado, Óscar (Emerald, 2020)Purpose The purpose of this paper is to provide a panoramic and systematic view of 10 Sustainable Campus Network (SCN) universities' internal entities in charge of the sustainability effort - such as offices, committees, ...
-
Sorensen, Laura Brandt; Germundsson, Lisa Blix; Hansen, Stine Rosenlund; Rojas, Claudia; Kristensen, Niels Heine (MDPI, 2021)Agriculture is facing mounting challenges across the globe and must move towards more sustainable practices to combat climate change and meet changed production requirements. Education has been acknowledged as highly ...