DEVELOPMENT OF A NOVEL ITELLIGENT LIGHTING CONTROL SYSTEM WITH IMAGING SENSOR FOR OPTIMUM DAYLIGHT EXPLOITATION AND ENERGY SAVING

Abstract: 

Harvesting daylight can be considered as a very important strategy to reduce artificial lighting consumption in buildings. Thus, the use of photosensors is significant and a chance for energy savings. The basic operation of a photosensor is the production of a unique signal that is related to the average amount of lighting in a space (in which it is placed), using its spatial and spectral response.

This specific signal forces ballasts in luminaires to reduce the output power at the same level for all luminaries, while these should be regulated separately for an optimum operation. Namely, a conventional lighting control system does not have the capability of distinguishing the areas that are darker or brighter than the others inside the control zone. Thus, this system, among other problems, is unable to dim the light in the brighter areas and light up the darker one simultaneously. In other words, it is impossible for the system to avoid optical discomfort and consume less energy due to the exploitation of the daylight.

This research project proposes an innovative daylight responsive system with a CCD sensor instead of a photosensor in order to control optimally the light levels. The new CCD sensor would be able to capture and process images that include all or the most of the room space and calculate the photometric parameters in thousands of points in the room simultaneously. The CCD sensor will be calibrated using experimental set-ups that will be developed during the project. Using an intelligent algorithm, the system will calculate the appropriate dimming levels of each luminaire of the room in order to achieve a comfort lighting environment for the users.

The proposed system will be designed in order to work with the open source Digital Addressable Lighting Interface (DALI) protocol. The research outcomes are expected to act as the development platform for future lighting control systems based on imaging sensors.

MIS: 379524

Project info

Acronym:
ILCIS
Scientific Coordinator:
Topalis Frangiskos
Research Team 2 Leader:
Pouliezos Anastasios
Research Team 3 Leader:
Tsangrasoulis Aris
Research Team 4 Leader:
Adam George
Research Team 5 Leader:
Vokas George
Research Team 6 Leader:
Ekonomou Lambros

Stats

I.D.:
14
Mis:
379524
Duration (months):
44
Budget:
600 000.00
Diavgeia:
ΑΔΑ: Β41Δ9-ΣΨΝ

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