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Optimization of Heat Delivery to Apartment Buildings Using an Improves Building Model

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Part of the book series: Advances in Simulation ((ADVS.SIMULATION,volume 2))

Abstract

In Utrecht, the company PEGUS operates some 100 large apartment buildings (about 10000 apartments). The thermal power (primary energy) is provided by the Combined Heat and Power Station (CHP) in Utrecht. There is a deep believe that by lowering the installation water temperature during the night decrease the heating cost can be reduced. In fact this leads to a huge morning peak in power consumption. Because of the higher cost of power during the peak hours the total heating cost can even be higher than keeping the installation temperature constant during the whole night. The aim of our research was to elaborate an optimal control policy avoiding the morning power peak (so reducing energy and costs) meanwhile satisfying some temperature requirements concerning the apartments.

The author is on leave from the Technical University of Budapest, chair of Automation, Budapest, HUNGARY.

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References

  1. Achterbosch,G.G.J.-de Jong,P.P.G.-Kris-Spit,C.E.-van der Meulen,S.F.- Verberne,J.F. C.: The Development of a Convenient Thermal Dynamic Building Model, Energy and Buildings, 8, (1985), pp. 183–196.

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  2. Vajta,M.: A Matrix Method to Determine the Frequency Response of a Multilayer Wall, Report No.40121979, U. of Twente, TN-MST, 1987,

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  3. Vajta,M.: Dynamic Optimization of Heat Delivery to Apartment Buildings in District Heating Systems, Report No. 40121981, U. of Twente, TN-MST, 1987.

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© 1988 Akademie-Verlag Berlin

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Vajta, M., Rijnsdorp, J.E., van der Meulen, S.F., Verberne, J.F.C. (1988). Optimization of Heat Delivery to Apartment Buildings Using an Improves Building Model. In: Sydow, A., Tzafestas, S.G., Vichnevetsky, R. (eds) Systems Analysis and Simulation II. Advances in Simulation, vol 2. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8936-1_35

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  • DOI: https://doi.org/10.1007/978-1-4613-8936-1_35

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97093-6

  • Online ISBN: 978-1-4613-8936-1

  • eBook Packages: Springer Book Archive

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