Funding: STW SES
Running Period: 2012-2016
Staff: Prof.dr.ir. Gerard Smit, Prof.dr. Johann Hurink
Ph.D. student: Diego Quintero
Buildings consume up to 40% of primary energy in Europe. This is more than what is used by industry or transport. A significant part of the total energy usage within a building is for heating, ventilation, air conditioning (HVAC) and lighting. Conventional buildings generally provide uniform levels of hygrothermal comfort, air-quality and lighting, though the distribution of people in a building is not uniform. HVAC systems try to maintain these levels above the legal minimum set requirements. Despite this, building occupants often experience health complaints. This indicates that though HVAC systems run at increased capacity thereby consuming much energy, user requirements are not met when and where it matters most. The iCARE platform creates a personalized “micro-environment bubble” around a typical office worker seated at a desk. iCARE's bubble will also be able to migrate to different locations in order to meet the demands of mobile workers. Numerical studies applying personalized ventilation systems have indicated potential energy savings of up to 60% in certain scenarios.
iCARE also addresses intelligent power management of locally harvested energy with the help of wireless sensor networks (WSNs). Localized energy harvesting eliminates electrical transmission and electricity distribution losses which can result in overall energy losses of up to 7.4%. However, the energy produced by any localized energy harvesting system is prone to large fluctuations due to changing weather conditions. This makes it essential to have a power management system that helps decide when to store energy and when or how to distribute it based on the net available energy within the building. This can only be performed successfully if the system has an accurate view of the interior and exterior environmental conditions of the building. iCARE's WSN is responsible for providing an accurate view of the environmental conditions at a high spatio-temporal resolution.