Article | Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden | Models for control of thermal energy in buildings Linköping University Electronic Press Conference Proceedings
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Title:
Models for control of thermal energy in buildings
Author:
Casper Amandus Johansen: Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, Porsgrunn, Norway Bernt Lie: Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, Porsgrunn, Norway Nils-Olav Skeie: Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, Porsgrunn, Norway
DOI:
https://doi.org/10.3384/ecp2017059
Download:
Full text (pdf)
Year:
2019
Conference:
Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden
Issue:
170
Article no.:
009
Pages:
59-66
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2020-01-24
ISBN:
978-91-7929-897-5
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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A large fraction of the world’s energy production is used for HVAC in buildings. It is therefore important to develop improved strategies for ef?cient use of energy in buildings. Storage of intermittent energy production is important; storage as hot water in water tanks is the most common way to store energy in private homes/smaller apartment complexes. Finding good models for building thermal behavior is an important part of developing building energy management systems (BEMS) that are capable of reducing energy consumption for space heating through model predictive control (MPC). In this paper, previous models of temperature dynamics in hot water tanks are considered, and a simple well mixed tank model is compared to a model describing a more realistic strati?ed temperature distribution. The two models are ?tted to experimental data from a hot water tank. Description of temperature strati?cation requires a distributed model, but a relatively low order discretized model suf?ces to describe the important effect while simultaneously being useful for BEMS. A suitable hot water tank model in combination with weather forecast enables temperature estimation and prediction in MPC, and allows for ?nding a suitable water temperature at minimal energy consumption.

Keywords: energy in buildings, energy storage, hot water tank model, well mixed tank model, strati?ed ?ow model, experimental data, model ?tting

Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden

Author:
Casper Amandus Johansen, Bernt Lie, Nils-Olav Skeie
Title:
Models for control of thermal energy in buildings
DOI:
10.3384/ecp2017059
References:

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Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden

Author:
Casper Amandus Johansen, Bernt Lie, Nils-Olav Skeie
Title:
Models for control of thermal energy in buildings
DOI:
https://doi.org10.3384/ecp2017059
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