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Title Stokastiske modeller for varmedynamiske systemer
Author Knop, Ole
Supervisor Madsen, Henrik (Institut for Informatik og Matematisk Modellering, Danmarks Tekniske Universitet, DTU, DK-2800 Kgs. Lyngby, Denmark)
Andersen, Klaus Kaae (Institut for Informatik og Matematisk Modellering, Danmarks Tekniske Universitet, DTU, DK-2800 Kgs. Lyngby, Denmark)
Institution Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
Thesis level Master's thesis
Year 2001
Abstract The present master thesis concerns stochastic dynamic modelling of heating systems. The thesis is organized into two parts. In the first part a mathematical model for a thermostatic valve is developed based on knowledge of the physical properties of the system. The key issue is that the hysteresis effects due to friction forces in the valve is compensated by an adaptive friction model. The presented valve model is a continuous-discrete state space model in terms of stochastic differential equations. Statistical methods and empirical data from controlled experiments are used to estimate the parameters in the model. The model performance is illustrated using independent empirical datasets. Furthermore, the model is extended to account for the heat dynamics of the valve thermostat. The parameters are estimated and the dynamical model is validated. In the second part of the project a micro combined heat and power (CHP) unit is studied. A simplified model for a heating system is suggested by exploiting the physical knowledge of the micro-CHP in conjunction with empirical energy demand data. The heating system is simulated when the micro-CHP is operated according to a commonly used heating strategy. This strategy is compared with a optimum operating solution found by dynamic programming. It is found with a optimum operating solution found by dynamic programming. It is found that the loss of electricity could be reduced 50-75 % if the CHP are controlled in an optimal way. As a result an optimum operation strategy for the micro-CHP is proposed based on prediction of the energy demand and dynamic programming.
Imprint Institut for Informatik og Matematisk Modellering, Danmarks Tekniske Universitet, DTU : DK-2800 Kgs. Lyngby, Denmark
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Admin Creation date: 2006-06-22    Update date: 2012-12-20    Source: dtu    ID: 57963    Original MXD