Term
4. term
Education
Publication year
2022
Submitted on
2022-06-01
Pages
133 pages
Abstract
This master thesis deals with designing a control scheme for heating of a low energy single-family house in connection with the OPSYS 2.0. The house is heated using hydronic underfloor heating circuits supplied with hot water from a partially solar powered heat pump. A two-level hierarchal control scheme has been devised. The upper level calculates a heating budget based on average house dynamics and forecasts of energy prices, power production of the house’s photovoltaic panels, and the weather. The lower level determines how to distribute this heating budget to the different rooms using a lumped parameter multi-zone model of the house and forecasts of the weather. To facilitate the design, discrete time, non-linear, grey-box models of the system has been developed for each of the two levels. Using these models, state observers have been designed in the form of Kalman filters. Both levels contain a model predictive controller, that have been developed by reformulating the models into the mixed logical dynamical framework, which has allowed the two control problems to be formulated as mixed integer quadratic programming problems that are more efficiently solved. The control scheme has been shown to achieve disturbance rejection and stabilization of the system, by testing it using a high-fidelity model of the house supplied by the OPSYS 2.0 participants.
Documents
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