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

  • 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 polygenerationOptimisation 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.…zeige mehrzeige weniger

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Metadaten
Dokumentart:Zeitschriftenartikel, wissenschaftlich
Review-Status:Begutachtet (reviewed)
Zitierlink: https://opus.hs-offenburg.de/4222
Bibliografische Angaben
Titel (Englisch):Development and experimental evaluation of grey-box models of a microscale polygeneration system for application in optimal control
Verfasserangaben:Parantapa Amarsinh SawantStaff MemberORCiDGND, Adrian Bürger, Minh Dang Doan, Clemens Felsmann, Jens PfafferottStaff MemberORCiDGND
Erscheinungsjahr:2020
Verlag:Elsevier
Seitenanzahl:12
Erste Seite:Article 109725
Titel des übergeordneten Werkes (Englisch):Energy and Buildings
Jahrgang (Band):215
ISSN:0378-7788
DOI:https://doi.org/10.1016/j.enbuild.2019.109725
Sprache:Englisch
Inhaltliche Informationen
Fakultäten / Einrichtungen:Fakultät Maschinenbau und Verfahrenstechnik (M+V)
Forschung:INES - Institut für nachhaltige Energiesysteme
Sammlungen der Hochschule Offenburg:Bibliografie
DDC-Sachgruppen:600 Technik, Medizin, angewandte Wissenschaften / 600 Technik / 600 Technik, Technologie
Formale Angaben
Open-Access-Status: Closed Access 
Lizenz (Deutsch):License LogoUrheberrechtlich geschützt