Sustainability Analysis

Alexandre C. Dimian, Costin S. Bildea, Anton A. Kiss

Research output: Contribution to journalArticle

Abstract

Sustainability analysis plays a key strategic role in industry, and most chemical companies consider nowadays that sustainability is a strategic business success factor, realizing that what is good for the environment and society can be also good for the financial performance of the company. This chapter provides an overview of the available methods that can translate sustainability requirements into working targets. The most used interpretation of sustainable development is the three pillars dividing sustainability into economic growth, ecological balance, and social progress. Although there is no universal approach, there are several methods that can be used in the move towards a more sustainable development and design of chemical products and processes. In this context, several valuable tools are presented: the life cycle assessment, eco-costs value ratio, eco-efficiency analysis, socio-eco-efficiency analysis, and the AIChE sustainability index. The last section presents a procedure for incorporating sustainability metrics in a process design project.

Original languageEnglish
Pages (from-to)679-702
Number of pages24
JournalComputer Aided Chemical Engineering
Volume35
DOIs
Publication statusPublished - 2014

Fingerprint

Sustainable development
Industry
Life cycle
Process design
Economics
Costs

Keywords

  • AIChE sustainability index
  • Eco-costs value ratio
  • Eco-efficiency analysis
  • Life cycle assessment
  • Socio-eco-efficiency analysis
  • Sustainability analysis
  • Sustainable development

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

Sustainability Analysis. / Dimian, Alexandre C.; Bildea, Costin S.; Kiss, Anton A.

In: Computer Aided Chemical Engineering, Vol. 35, 2014, p. 679-702.

Research output: Contribution to journalArticle

Dimian, Alexandre C. ; Bildea, Costin S. ; Kiss, Anton A. / Sustainability Analysis. In: Computer Aided Chemical Engineering. 2014 ; Vol. 35. pp. 679-702.
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