A multiagent approach for sustainable design of heat exchanger networks

Naoki Kimura, Kizuki Yasue, Tekishi Kou, Yoshifumi Tsuge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Pinch technology is a familiar energy-saving technology in the chemical industries and has been incorporated in the process simulation software, however the skilled engineers' considerations are required to make preferable heat exchanger networks (HEN). We introduced a multiagent oriented simulation framework into the HEN design to save the energy usage and also reduce the CO2 emissions. In our framework, a number of "HEN design agents" have their own strategies to optimize HEN respectively. In this paper, we show the effectiveness of our framework applying to two chemical processes.

Original languageEnglish
Title of host publicationKnowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings
Pages409-416
Number of pages8
EditionPART 2
DOIs
Publication statusPublished - Nov 23 2010
Event14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010 - Cardiff, United Kingdom
Duration: Sep 8 2010Sep 10 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6277 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010
CountryUnited Kingdom
CityCardiff
Period9/8/109/10/10

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kimura, N., Yasue, K., Kou, T., & Tsuge, Y. (2010). A multiagent approach for sustainable design of heat exchanger networks. In Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings (PART 2 ed., pp. 409-416). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6277 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-15390-7_42