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.…


| 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 Sawant ORCiDGND, 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): | Urheberrechtlich geschützt |




