Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Integrated decision support system for waste minimization analysis in chemical processes.

Iskandar Halim1, Rajagopalan Srinivasan

  • 1Department of Chemical and Environmental Engineering, National University of Singapore, Singapore.

Environmental Science & Technology
|May 10, 2002
PubMed
Summary

This study presents an integrated methodology for chemical engineers to identify and assess waste minimization alternatives, balancing environmental impact with process economics for greener industrial practices.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

ACT-R based human digital twin to enhance operators' performance in process industries.

Frontiers in human neuroscience·2023
Same author

An efficient graph theory based method to identify every minimal reaction set in a metabolic network.

BMC systems biology·2014
Same author

Reconstruction and analysis of a genome-scale metabolic model for Scheffersomyces stipitis.

Microbial cell factories·2012
Same author

Decision support for green supply chain operations by integrating dynamic simulation and LCA indicators: diaper case study.

Environmental science & technology·2011
Same author

Analysis of the heat shock response in mouse liver reveals transcriptional dependence on the nuclear receptor peroxisome proliferator-activated receptor alpha (PPARalpha).

BMC genomics·2010
Same author

NIFTI: an evolutionary approach for finding number of clusters in microarray data.

BMC bioinformatics·2009

Area of Science:

  • Chemical Engineering
  • Environmental Science
  • Process Optimization

Background:

  • The chemical industry faces pressure to develop environmentally friendly processes.
  • Traditional waste minimization analysis is complex, costly, and knowledge-intensive, creating implementation barriers.
  • Previous work introduced ENVOPExpert, a knowledge-based system for identifying waste minimization opportunities.

Purpose of the Study:

  • To propose an integrated qualitative-quantitative methodology for identifying and evaluating waste minimization alternatives.
  • To assess the efficacy of alternatives considering both environmental impact and process economics.
  • To overcome the technical barriers in implementing waste minimization programs.

Main Methods:

  • A qualitative analysis to pinpoint waste sources and propose minimization/elimination alternatives.

Related Experiment Videos

  • Quantitative pollutant balance calculations to determine the environmental impact of each alternative.
  • Economic assessment including capital expenditure and operating costs for each alternative.

    • Main Results:

    • The integrated methodology successfully identified practical and cost-effective waste minimization options.
    • The approach was implemented as a decision support system.
    • Satisfactory results were obtained when tested on a hydrodealkylation process case study.

    Conclusions:

    • The proposed integrated methodology provides a systematic approach to waste minimization in chemical processes.
    • It effectively balances environmental benefits with economic viability.
    • This approach facilitates the implementation of practical and cost-effective waste reduction strategies in the chemical industry.