In English

Office building performance - Software based energy calculation of office buildings and comparison with measured energy data

Kontorsbyggnaders prestanda - Mjukvarubaserad energiberäkning av kontorsbyggnader och jämförelser med uppmätta energidata

Marie Druhen
Göteborg : Chalmers tekniska högskola, 2013. Examensarbete - Institutionen för bygg- och miljöteknik, Chalmers tekniska högskola; 2013:28, 2013.
[Examensarbete på avancerad nivå]

The usage of energy simulation tools is widespread in the construction field. Indeed, it is useful to predict the energy consumption of a new building, or try to find the cost effective ways to reduce the energy consumption of an existing building. The basic building’s parameters are easy to enter in software tools, but the behaviour of the users or the maintenance quality of the systems is not easy to predict. Thus it is interesting to see how the calculated energy consumption matches with the real energy consumption of a building. Integrated in a two years lasting project in Switzerland with the aim to evaluate the building´s design and energy characteristics influence on well-being, comfort and performance of employees in office buildings, this project work aims to compare the energy demand and the actual energy consumption of an representative office building sample. This is done by using all the data collected during the project, such as building’s envelope characteristics, heating and cooling systems or user behaviour. These input data have been fed in the software LESOSAI that is specialized on thermal balance calculations of buildings. The main conclusion of the study is that there is a difference between measured and calculated value. Among the 6 simulations realized, what can be said globally is that the calculated heating consumption is higher than the real one, and vice versa for electricity. But the gap differs from one building to another. That can be explained partly by the quantity and accuracy of the given data that is not the same for every building. Moreover, the sensitivity of the results reveals that some small assumed parameters can create variation in the final consumption. However, the results are rather reasonable. The relation between electricity and heating consumption is logical, if the electricity consumption is higher than expected; the heating consumption will be lower thanks to the heat released through the electric devices.

Nyckelord: Software, energy calculation, office building, user behaviour

Publikationen registrerades 2013-10-03. Den ändrades senast 2013-10-03

CPL ID: 184622

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