New software will predict the energy usage of a new building
The ultimate goal for the software is to produce a tool that architects or engineers can use in order to gain a much more realistic prediction of the energy consumption of their buildings and therefore design them to be much more efficient.
Wed, 20 May 2015 13:55:00 BST
Architects’ current predictions of potential energy consumption of new buildings can be between 50 to 100 per cent inaccurate
WHEN new buildings come into use they can consume up to twice as much energy as their designers expected. Now a University of Huddersfield professor is carrying out research that aims to reduce this “performance gap” and he has the backing of one of the world’s leading engineering organisations.
Song Wu is Professor of Surveying and IT at the University’s School of Art, Design and Architecture. One of his areas of expertise is computer modelling and simulation of the built environment. This equips him to meet the challenge of developing a Dynamic Behaviour Model (DBM) that will use realistic data in order to make a much more accurate prediction of the energy usage of non-domestic buildings.
DBM will take into account a range of factors, such as occupancy level, the behaviour of the building’s occupants, equipment use and the nature of the business.
Professor Wu has now been granted a Newton Research Collaboration Award by the Royal Academy of Engineering. He will work closely with the Huazhong University of Science and Technology (HUST) in China, where a proliferation of new building means that suitable case studies are easier to identify.
Actual usage
A new exhibition centre in Wuhan, China, is to be the focus of the first phase of research. HUST researchers will gather observational data and Professor Wu will use it to create a computer model. The ultimate goal is to produce a tool that architects or engineers can use in order to arrive at a much more realistic prediction of the energy consumption of their buildings and therefore design them to be much more efficient.
“When you design a building you do a prediction of what potential energy consumption will be,” said Professor Wu. “But when you compare that with the actual usage, the gap can be between 50 to 100 per cent.”
This performance gap arises because architects or engineers might not have a full understanding of how the building is going to be used, he continued. They have to make a great many assumptions based on benchmark data in order to arrive at an energy analysis. But when occupants of the building behave differently, and other factors come into play, the predicted level of energy use is often highly inaccurate.
“What we are now trying to do with DBM is to develop a platform, or technology, that can simulate the usage of a building dynamically.
“If you have an understanding of how a building is potentially going to be used, then you can put into the simulation platforms and you run it to generate data, which is based on occupancy, and this can become input for an accurate energy analysis tool,” said Professor Wu.
The Newton Research Collaboration with HUST lasts for just a few months, but the aim is that it will lead to scientific publications and provide proof of concept. Further funding would then be sought to take DBM to the next stage.
In addition to providing data about energy, the model – based on actual usage and occupancy of a building – could also have other applications, such as security and acoustics.
