< Project Overview >
This project brings together industry (EcoSync) and academic (Oxford University) teams to undertake testing in order will stimulate greater understanding of practical cloud-based climate control within buildings. It will greatly increase knowledge on how to sell and deploy low cost cloud-based buildings control and how Internt of Things (IoT)-based control can generate value within the buildings control domain.
Optimising energy management in commercial and residential buildings has attracted significant worldwide attention, since almost half of the total electricity consumption in Europe and in the United States relates to building climate control.
It is estimated that around 70% of the rooms in commercial buildings are heated or cooled despite being empty, and approximately 40% of buildings’ overall energy expenditure is consequently wasted.
At the same time, the modern IoT can allow occupants of a building to connect and exchange information with both the building infrastructure and each other, all in real time. Such a platform creates an opportunity for embedding intelligence within energy management solutions for building temperature control.
Rendering energy management ‘smart’ requires the solution to two significant challenges: i) Uncertainty, due to occupancy, user behaviour, weather or other factors, must be taken into account in the energy management process; ii) Existing ad-hoc solutions must be replaced by more automated and systematic solutions with guaranteed performance properties. And of course, a building user must be convinced and see a clear return on investment from an activity that will be non-core business.
This project aims to overcome these challenges by blending tools from model-based and data-based modelling and control techniques, approaches that are often treated separately in the energy management literature.
Paul Goulart, the University of Oxford