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

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 p...

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Main Authors: Degurunnehalage Wathsala Upamali Perera, Nils-Olav Skeie
Format: Article
Language:English
Published: MDPI AG 2016-03-01
Series:Buildings
Subjects:
Online Access:http://www.mdpi.com/2075-5309/6/1/10
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spelling doaj-9614e01402c64e95840256c841ae4da92020-11-24T21:07:22ZengMDPI AGBuildings2075-53092016-03-01611010.3390/buildings6010010buildings6010010Estimation of the Heating Time of Small-Scale Buildings Using Dynamic ModelsDegurunnehalage Wathsala Upamali Perera0Nils-Olav Skeie1University College of Southeast Norway, Kjølnes Ring 56, 3918 Porsgrunn, NorwayUniversity College of Southeast Norway, Kjølnes Ring 56, 3918 Porsgrunn, NorwayMost 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.http://www.mdpi.com/2075-5309/6/1/10building simulationdynamic modelheating timesingle-zone buildings
collection DOAJ
language English
format Article
sources DOAJ
author Degurunnehalage Wathsala Upamali Perera
Nils-Olav Skeie
spellingShingle Degurunnehalage Wathsala Upamali Perera
Nils-Olav Skeie
Estimation of the Heating Time of Small-Scale Buildings Using Dynamic Models
Buildings
building simulation
dynamic model
heating time
single-zone buildings
author_facet Degurunnehalage Wathsala Upamali Perera
Nils-Olav Skeie
author_sort Degurunnehalage Wathsala Upamali Perera
title Estimation of the Heating Time of Small-Scale Buildings Using Dynamic Models
title_short Estimation of the Heating Time of Small-Scale Buildings Using Dynamic Models
title_full Estimation of the Heating Time of Small-Scale Buildings Using Dynamic Models
title_fullStr Estimation of the Heating Time of Small-Scale Buildings Using Dynamic Models
title_full_unstemmed Estimation of the Heating Time of Small-Scale Buildings Using Dynamic Models
title_sort estimation of the heating time of small-scale buildings using dynamic models
publisher MDPI AG
series Buildings
issn 2075-5309
publishDate 2016-03-01
description 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.
topic building simulation
dynamic model
heating time
single-zone buildings
url http://www.mdpi.com/2075-5309/6/1/10
work_keys_str_mv AT degurunnehalagewathsalaupamaliperera estimationoftheheatingtimeofsmallscalebuildingsusingdynamicmodels
AT nilsolavskeie estimationoftheheatingtimeofsmallscalebuildingsusingdynamicmodels
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