Development and experimental evaluation of grey-box models of a microscale polygeneration system for application in optimal control
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
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 language | English |
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Article number | 109725 |
Journal | Energy and buildings |
Volume | 215 |
Publication status | Published - 15 May 2020 |
Peer-reviewed | Yes |
Keywords
Keywords
- Adsorption chiller model, Experimental validation of polygeneration system models, Grey-boxmodelling, Models for optimal control, Stratified thermal energy storage model