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Publication type: Conference paper
Type of review: Peer review (abstract)
Title: Model predictive control for building automation
Authors : Bolt, Peter
Ziebart, Volker
Jaeger, Christian
Ritzmann, Remo
Meier, Olaf
Füchslin, Rudolf Marcel
DOI : 10.21256/zhaw-3296
Proceedings: EuroSun 2018 : conference proceedings
Pages : 1330
Pages to: 1341
Conference details: 12th International Conference on Solar Energy and Buildings (EuroSun 2018), Rapperswil, 10-13 September 2018
Issue Date: 2018
Publisher / Ed. Institution : International Solar Energy Society
ISBN: 978-3-9820408-0-6
Language : English
Subjects : PVT; MPC; Unscented Kalman Filter; Modelica
Subject (DDC) : 621.3: Electrical engineering and electronics
Abstract: We propose a building HVAC system, integrating local energy production and storage, together with a model based controller. The heating system integrates several local heat production and storage devices and multiple fluid circuits at different temperatures to minimize entropy production through mixing. The controller uses a model of the System and predictive knowledge of demand and weather information to minimize electrical energy import, while maintaining thermal comfort by solving mixed integer optimization problems online. Time-varying and unknown system parameters are estimated and adapted online, using an unscented Kalman filter. The adaptation greatly reduces modeling effort and maintenance cost. The proposed setup is tested in a co-simulation, using a physical (modelica-) model of the building and energy system as well as realistic weather and demand data. Our system delivers nearly seven times more energy in the form of heat, than it needs to import (electrical) energy from external sources.
Further description : © 2018. The Authors
Fulltext version : Published version
License (according to publishing contract) : Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Applied Mathematics and Physics (IAMP)
Appears in Collections:Publikationen School of Engineering

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