DTU Compute
Richard Petersens Plads DTU - Building 324 DK-2800 Kgs. Lyngby

Dynamic Calculation Methods For Building Energy Assessment

SUMMER SCHOOL 2016 (19. to 24. June)
Dynamic Calculation Methods For Building Energy Assessment

Deadline for registration is 15. May, 2016



DYNASTEE-INIVE and CITIES and the Civil Engineering School (University of Granada, Spain), in collaboration with CIEMAT (Spain), DTU (Lyngby, Denmark) and ESRU (Strathclyde University, Glasgow).


Hans Bloem (JRC, Ispra), María José Jiménez (CIEMAT), Henrik Madsen, Peder Bacher (DTU), Paul Strachan (Strathclyde University).


After 4 very successful editions of the Summer School on "Dynamic methods for whole building energy assessment" the organisers have decided to focus more on pragmatic application of these dynamic calculation techniques meaning that the analysis of building metering data is of high importance and can give potentially high value information to utility and end-user.  

Careful examination of energy consumption in the building sector, which is about 38% of the final energy consumption in EU-27 is needed in order to identify the specific areas for energy savings. Due to improved insulation levels of buildings this saving potential moves to more dynamic energy use sectors such as gains from appliances, high energy demand and consumer behaviour. Today, more and more data related to building and building components originate from outdoor testing under time-varying and dynamic conditions, or from real life use of buildings. Dynamic evaluation methods are techniques to analyze time series of data related to dynamic processes and to identify typical parameters of the physical processes for evaluation. Data from smart meters are typical examples of such time series and provides details of energy usage patterns.  

The main purpose of this summer school is to train the students in a methodology for evaluation of measured data. Statistical modelling methods for using such time series data are discussed to assess valuable information about the energy performance of a building or the building element. An introduction to essential statistical techniques for model evaluation and selection are given with examples and through exercises. Many of the dynamic methods can be seen as techniques which bridge the gap between physical and statistical modelling. During the summer course, information on relevant software will be given and software tools will be used in the exercises. Specifically the focus will be on how to extract essential performance parameters of buildings using these models and techniques.  

It will be shown that dynamic analysis methods linked to appropriate models can give rather detailed information about the various components of a building. The important aspects of applying models with a suitable complexity depending on the data are highlighted.  

The initial programme contains 5 parts:

1. Homework (the participants will have to arrive a bit prepared).
2. Building physics and mathematical models.
3. Theory about models (AR(MA)X, grey-box, etc.), modelling using 
time-series analysis and       statistical validation with software.

4. How to obtain results, such as physical characteristics, etc.
5. Thermal balance of building elements.

For further information on the content of the course, please contact:
Hans Bloem,
Maria Jose Jimenez,
Peder Bacher ,
Henrik Madsen
Paul Strachan