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
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https://doi.org/10.3384/ecp2017059Ingår i: Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden
Linköping Electronic Conference Proceedings 170:9, s. 59-66
Publicerad: 2020-01-24
ISBN: 978-91-7929-897-5
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
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.
energy in buildings, energy storage, hot water tank model, well mixed tank model, strati?ed ?ow model, experimental data, model ?tting
Thomas Berthou, Pascal Stabat, Salvazet Raphael, and Dominique Marchio. Development and validation of a gray box model to predict thermal behavior of occupied of?ce buildings. Energy and Buildings, 74:91–100, 2014. doi:10.1016/j.enbuild.2014.01.038.
Vinicius de Oliveira, Johannes Jäschke, and Sigurd Skogestad. Dynamic online optimization of a house heating system in a ?uctuating energy price scenario. IFAC Proceedings Volumes, 46(32):463–468, December 2013. doi:10.3182/20131218-3-IN-2045.00070.
Samuel F. Fux, Araz Ashouri, Michael J. Benz, and Lino Guzzella. Ekf based self-adaptive thermal model for a passive house. Energy and Buildings, 68:811–817, 2012. ISSN 0378-7788. doi:10.1016/j.enbuild.2012.06.016.
Casper Amandus Johansen. Evaluation of control systems with models for thermal energy in buildings. Master’s thesis, University of South-Eastern Norway, P.O. Box 203, N-3901 Porsgrunn, Norway, May 2019. External partner: Autobolig AS.
Stephan Koch. Demand response methods for ancillary services and renewable energy integration in electric power systems. PhD thesis, ETH, Power Systems Laboratory, 2012.
Bernt Lie. Improved model for solar heating of buildings. In Lena Buffoni, Adrian Pop, and Bernhard Thiele, editors, Proceedings, The 56th Conference of Simulation and Modelling, pages 299–308, Linköping University, Sweden, October 2015. Scandinavian Simulation Society, Linköping University Electronic Press. doi:10.3384/ecp15119, pp. 299–308. October 7–9 2015.
Bernt Lie, Carlos Pfeiffer, Nils-Olav Skeie, and Hans-Georg Beyer. Models for solar heating of buildings. In Alireza Rezania Kolai, Kim Sørensen, and Mads Pagh Nielsen, editors, Proceedings, 55th International Conference of Scandinavian Simulation Society, pages 28–38, Aalborg University, Denmark, October 2014. Scandinavian Simulation Society, Linköping University Electronic Press. doi:www.ep.liu.se/ecp/108/ecp14108.pdf. October 21–22 2014.
Luis Pérez-Lombard, José Ortiz, and Christine Pout. A review on buildings energy consumption information. Energy and Buildings, 40:394–398, 2008. doi:10.1016/j.enbuild.2007.03.007.
R. Viskanta, M. Behnia, and A. Karalis. Interferometric observations of the temperature structure in water cooled or heated from above. Advances in Water Resources, 1(2):57–69, 1977.
Evangelos Vrettos. Control of Residential and Commercial Loads for Power System Ancillary Services. PhD thesis, ETH, Power Systems Laboratory, 2016.
Zhijie Xu, Ruisheng Diao, Shuai Lu, Jianming Lian, and Yu Zhang. Modeling of electric water heaters for demand response: A baseline pde model. IEEE Transactions on Smart Grid, 5(5):2203–2210, September 2014. doi:10.1109/TSG.2014.2317149.