Application of pareto optimization under uncertainty in chemical process design for sustainability

Li Sun, Aditi Singh, Helen H. Lou

Research output: Contribution to conferencePaper

Abstract

The development of a sustainable chemical processes aims at optimizing its economic, environmental and societal sustainability simultaneously. This can be solved as a multi-objective optimization (MOO) problem. However, in real systems, there are many uncertainties that affect the performance of a process. These include market fluctuation, changes in material properties, manufacturing variations, errors in model prediction etc. In order to generate a more robust solution, it is essential to develop a multi-objective optimization methodology including uncertainty. This would facilitate the design for sustainability.
In this paper, the authors use the Pareto optimization methodology to identify the optimal design specifications and operating conditions of chemical processes under uncertainties. The objective of this MOO problem is to maximize the overall sustainability of the process. The utility of this methodology is demonstrated by a case study based on the design of a condensate treatment unit in an ammonia plant.
Original languageEnglish
Publication statusPublished - 2007
Externally publishedYes
EventThe 2nd international Conference on Sustainability Engineering and Science - University of Auckland, Auckland, New Zealand
Duration: 20 Feb 200723 Feb 2007

Conference

ConferenceThe 2nd international Conference on Sustainability Engineering and Science
Country/TerritoryNew Zealand
CityAuckland
Period20/02/0723/02/07

Keywords

  • Pareto oprimization
  • Uncertainty
  • Sustainabililty
  • multi-objective optimization

Fingerprint

Dive into the research topics of 'Application of pareto optimization under uncertainty in chemical process design for sustainability'. Together they form a unique fingerprint.

Cite this