Adaptive lighting controllers using smart sensors
(EN)
Παπαντωνιου Σωτηριος
(EL)
Καλαϊτζακης Κωνσταντινος
(EL)
Κολοκοτσα Διονυσια
(EL)
Kalaitzakis Konstantinos
(EN)
Cubi Eduard
(EN)
Cristalli Cristina
(EN)
Cesarini Davide Nardi
(EN)
Sotirios Papantoniou
(EN)
Kolokotsa Dionysia
(EN)
Πολυτεχνείο Κρήτης
(EL)
Technical University of Crete
(EN)
The aim of this paper is to present an advanced controller for artificial lights evaluated in several rooms in two European Hospitals located in Chania, Greece and Ancona, Italy. Fuzzy techniques have been used for the architecture of the controller. The energy efficiency of the controllers has been calculated by running the controller coupled with validated models of the RADIANCE back-wards ray tracing software. The input of the controller is the difference between the current illuminance value and the desired one, while the output is the change of the light level that should be applied in the artificial lights. Simulation results indicate significant energy saving potentials. Energy saving potential is calculated from the comparison of the current use of the artificial lights by the users and the proposed one. All simulation work has been conducted using Matlab and RADIANCE environment.
(EN)
