Evaluation of the complexity, controllability and observability of heat exchanger networks based on structural analysis of network representations

Daniel Leitold, Agnes Vathy-Fogarassy, J. Abonyi

Research output: Contribution to journalArticle

Abstract

The design and retrofit of Heat Exchanger Networks (HENs) can be based on several objectives and optimisation algorithms. As each method results in an individual network topology that has a significant effect on the operability of the system, control-relevant HEN design and analysis are becoming more and more essential tasks. This work proposes a network science-based analysis tool for the qualification of controllability and observability of HENs. With the proposed methodology, the main characteristics of HEN design methods are determined, the effect of structural properties of HENs on their dynamical behaviour revealed, and the potentials of the network-based HEN representations discussed. Our findings are based on the systematic analysis of almost 50 benchmark problems related to 20 different design methodologies.

Original languageEnglish
Article number513
JournalEnergies
Volume12
Issue number3
DOIs
Publication statusPublished - Feb 6 2019

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Heat Exchanger
Observability
Structural Analysis
Controllability
Structural analysis
Heat exchangers
Evaluation
Network Design
Qualification
Network Analysis
Dynamical Behavior
Network Topology
Structural Properties
Design Method
Design Methodology
Structural properties
Optimization Algorithm
Topology
Benchmark
Control systems

Keywords

  • Actuator placement
  • Heat exchanger network
  • Network science
  • Operability
  • Sensor
  • Structural controllability
  • Structural observability

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

Evaluation of the complexity, controllability and observability of heat exchanger networks based on structural analysis of network representations. / Leitold, Daniel; Vathy-Fogarassy, Agnes; Abonyi, J.

In: Energies, Vol. 12, No. 3, 513, 06.02.2019.

Research output: Contribution to journalArticle

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