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

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Parantapa Sawant - , Offenburg University of Applied Sciences (Autor:in)
  • Adrian Bürger - , Albert-Ludwigs-Universität Freiburg, University of Applied Sciences Karlsruhe (Autor:in)
  • Minh Dang Doan - , Albert-Ludwigs-Universität Freiburg (Autor:in)
  • Clemens Felsmann - , Professur für Gebäudeenergietechnik und Wärmeversorgung (Autor:in)
  • Jens Pfafferott - , Offenburg University of Applied Sciences (Autor:in)

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

OriginalspracheEnglisch
Aufsatznummer109725
FachzeitschriftEnergy and buildings
Jahrgang215
PublikationsstatusVeröffentlicht - 15 Mai 2020
Peer-Review-StatusJa

Schlagworte

Schlagwörter

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