An autonomy-oriented computing mechanism for modeling the formation of energy distribution networks: Crude oil distribution in U.S. and Canada

Benyun SHI*, Jiming LIU

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

An efficient, economical, as well as reliable energy distribution system plays important roles in distributing energy resources from energy suppliers to energy consumers in different regions. In this paper, we present a decentralized self-organized mechanism that draws on the methodology of autonomy-oriented computing (AOC) to study the formation of an energy distribution network from a bottom-up viewpoint. We utilize ideas from the animals' foraging behaviors (i.e., the Lévy flight) for energy consumers to search for energy suppliers. Simulation-based experimental results based on the real-world data of crude oil production and consumption in U.S. and Canada show that distribution hubs, which are essential to enhance supply opportunities and flexibilities in the real world, can also be observed from the AOC-based mechanism. This work provides a possible way for understanding the fundamental principles behind the formation of an efficient and reliable distribution system.

Original languageEnglish
Pages (from-to)410-420
Number of pages11
JournalLecture Notes in Computer Science
Volume6329 LNCS
Issue numberPART 2
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Life System Modeling and Simulation, LSMS 2010 and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010 - Wuxi, China
Duration: 17 Sep 201020 Sep 2010

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'An autonomy-oriented computing mechanism for modeling the formation of energy distribution networks: Crude oil distribution in U.S. and Canada'. Together they form a unique fingerprint.

Cite this