Multi-objective design of industrial symbiosis in palm oil industry

Rex T. L. Ng, Mimi H. Hassim, Denny K. S. Ng, Raymond R. Tan, Mahmoud M. El-Halwagi

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper presents a systematic approach for synthesising and designing multiple owners of bioenergy system in palm oil industry. The concept of industrial symbiosis (IS) is adapted to enhance the interaction of processing plants as well as to facilitate processing plants' cooperation. The decision of processing plants' participation in IS system can be affirmed via disjunctive fuzzy optimisation approach based on processing plants' declared economic interests and inherent safety of entire IS system. In cases where the interest (either economic or safety aspects) of any processing plant is not satisfied, that party can elect to withdraw from the IS scheme. The optimum network configuration with the maximum individual economic interests and minimum individual inherent safety is determined prior to the proposed approach. An industrial case study based on palm oil industry is solved to illustrate the proposed approach.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Foundations of Computer-Aided Process Design
PublisherElsevier
Pages579-584
Number of pages6
ISBN (Print)9780444634337
DOIs
Publication statusPublished - 2014

Publication series

NameComputer Aided Chemical Engineering
PublisherElsevier
Volume34
ISSN (Print)1570-7946

Keywords

  • Disjunctive fuzzy optimisation
  • Industrial symbiosis
  • Inherent safety
  • Palm-based bio mass

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

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  • Cite this

    Ng, R. T. L., Hassim, M. H., Ng, D. K. S., Tan, R. R., & El-Halwagi, M. M. (2014). Multi-objective design of industrial symbiosis in palm oil industry. In Proceedings of the 8th International Conference on Foundations of Computer-Aided Process Design (pp. 579-584). (Computer Aided Chemical Engineering; Vol. 34). Elsevier. https://doi.org/10.1016/B978-0-444-63433-7.50081-X