As the energy consumption within the building sector is projected to steadily increase in regards to heating and cooling of the buildings, the importance of improving the principle sensor technology that obtains occupancy information to manage these control systems is prominent. This report aims to provide a basic literature review of the commercially available single-sensor technology applied for occupancy detection in buildings for control systems of heating, cooling and for monitoring the use of indoor spaces. Moreover, detailed information on the researched case studies implementing sensor fusion technology to increase detection accuracy, and the possibility of acquiring the people count within buildings will be provided and discussed. From the articles reviewed, a use of multi-sensory technology systems, and extensive data accu-mulation, the occupancy estimation accuracies are increasing as well as verified energy savings of the Heat-ing, Cooling and Air Condition (HVAC) systems in several experiments. The parameters of success rate obtained in the reviewed sensor fusion studies are occupancy estimation accuracies ranging between 73-78%, occupancy detection accuracies ranging from 74-98%, Root Mean Square Errors (RMSE) of the model performance ranging between 0.084-0.1842, and total energy savings by implementing the articles’ sensory model ranging between 21-39%.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-226728 |
| Date | January 2017 |
| Creators | Samara, Mahmoud |
| Publisher | KTH, Energiteknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | TRITA-ITM-EX ; EGI_2017:2046 |
Page generated in 0.2317 seconds