Development and experimental evaluation of grey-box models of a microscale polygeneration system for application in optimal control

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Parantapa Sawant - , Offenburg University of Applied Sciences (Author)
  • Adrian Bürger - , University of Freiburg, University of Applied Sciences Karlsruhe (Author)
  • Minh Dang Doan - , University of Freiburg (Author)
  • Clemens Felsmann - , Chair of Building Energy Systems and Heat Supply (Author)
  • Jens Pfafferott - , Offenburg University of Applied Sciences (Author)

Abstract

Optimisation based economic despatch of real-world complex energy systems demands reduced order and continuously differentiable component models that can represent their part-load behaviour and dynamic responses. A literature study of existing modelling methods and the necessary characteristics the models should meet for their successful application in model predictive control of a polygeneration system are presented. Deriving from that, a rational modelling procedure using engineering principles and assumptions to develop simplified component models is applied. The models are quantitatively and qualitatively evaluated against experimental data and their efficacy for application in a building automation and control architecture is established.

Details

Original languageEnglish
Article number109725
JournalEnergy and buildings
Volume215
Publication statusPublished - 15 May 2020
Peer-reviewedYes

Keywords

Keywords

  • Adsorption chiller model, Experimental validation of polygeneration system models, Grey-boxmodelling, Models for optimal control, Stratified thermal energy storage model