Co-simulation of a dynamic process simulator and an event-based control system: Case district heating system

Heikki Nikula, Eero Vesaoja, Seppo Sierla, Tommi Karhela, Paul G Flikkema, Antti Aikala, Tuomas Miettinen, Chen Wei Yang

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

10 Scopus citations

Abstract

A smart electric grid incorporating local generation and storage is an area of active research in the industrial automation community. Very little attention has been given to similar possibilities in hot water grids that are used extensively for district heating in several countries, especially in Central and Northern Europe. In this paper, possibilities for heat trade in such a grid are investigated through simulation, considering the thermo-hydraulic properties of such a grid. For the distributed automation of several independent producer-consumers, an event based IEC 61499 solution is presented. The paper proposes a co-simulation environment for a dynamic process simulator and an event based control system, which is applied to the district heating case.

Original languageEnglish (US)
Title of host publication19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014
EditorsHerminio Martinez Garcia, Antoni Grau
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479948468
DOIs
StatePublished - Jan 8 2014
Event19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014 - Barcelona, Spain
Duration: Sep 16 2014Sep 19 2014

Publication series

Name19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014

Other

Other19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014
Country/TerritorySpain
CityBarcelona
Period9/16/149/19/14

Keywords

  • IEC 61499
  • co-simulation
  • distributed generation
  • district heating
  • prosumer
  • synchronization
  • thermal energy networks

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Artificial Intelligence

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