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Buildings 2016, 6(1), 10; doi:10.3390/buildings6010010

Estimation of the Heating Time of Small-Scale Buildings Using Dynamic Models

University College of Southeast Norway, Kjølnes Ring 56, 3918 Porsgrunn, Norway
These authors contributed equally to this work.
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Academic Editor: Christopher Underwood
Received: 29 January 2016 / Revised: 27 February 2016 / Accepted: 2 March 2016 / Published: 7 March 2016
(This article belongs to the Special Issue Modelling of Heating and Cooling in Buildings)
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Abstract

Most buildings are not continuously occupied, such as office buildings, schools, churches and many residential buildings. Maintaining comfortable conditions only during the occupied periods reduces the energy costs. This can be done by lowering the temperature as much as possible during unoccupied periods and at nights and then raising the temperature for occupation. More energy can be saved by using this method. The estimation of the time taken for the temperature increase is important in determining the optimal time for switching the heating equipment on. A dynamic model for single-zone buildings is developed for estimating the heating time, and the model is validated using four case studies with real measurements. The model computes the heating time with an error of less than 3%. It can also be used to obtain a rough prediction of the space heating energy use. Further, it was observed that starting the heating at the right time returns the lowest energy cost with the introduction of usage-based energy tariff systems. The model is quick in predicting the results, and hence, physics-based models can play an influential role in building system control with advanced control strategies. View Full-Text
Keywords: building simulation; dynamic model; heating time; single-zone buildings building simulation; dynamic model; heating time; single-zone buildings
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Perera, D.W.U.; Skeie, N.-O. Estimation of the Heating Time of Small-Scale Buildings Using Dynamic Models. Buildings 2016, 6, 10.

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