[Back]

A. Frattari, M. Chiogna, A. Mahdavi:
"Energetic Implications of Alternative Ligthing Control Strategies in an Educational Building";
Talk: PLEA 2007 Sun Wind and Architecture, 24th International Conference on Passive and Low Energy Architecture 22-24 November 2007, Singapur; 2007-11-22 - 2007-11-24; in: "PLEA 2007 SUN, WIND and ARCHITECTURE - 24th International Conference on pASSIVE AND LOW ENERGY ARCHITECTURE 22 - 24 November 2007", S. Wittkopf, B. Tan (ed.); (2007), ISBN: 978-981-05-9400-8; 83 - 90.

Given new and emerging standards and requirements in Europe regarding energy performance of buildings ( see, for example, EPBD 2002/91), it has become increasingly important to improve the energy effectiveness of building operation. Toward this end, efficient daylight-responsive systems for illumination of buildings (including installation of automatic ligthing control systems) can provide a significant contribution (PrEN 15193). In this paper, we present a comparison of lighting energy performance in two groups of spaces, nemely lecture rooms in an academic building (Faculty of Engineering, University of Trento). The study was carried out at the "CUnEdI: Centro Universitario Edifici Intelligenti" of the University of Trento. The first group of lectrue rooms is operated in a conventional manner: Luminaires are switched on and off manually by the users (students, staff, cleaning personal, etc.). In the second group (spatially similar lecture romms in the same floor/building and with the same orientation) different automated control regimes were implemented and monitored over a period of three months. These rooms are equipped with occupancy detectors, illuminance sensors, and dimming actuators, installed and programmed specifically for each scenario. We compare the lighting energy use in these lecture rooms for the implemented scenarios. Using standardisation techniqes that consider differences in occupancy duration, as well as indoor and outdoor illuminance levels, we can isolate the quantitative difference between energy performance of conventional and automated control scenarios.

energy performance, intelligent lighting systems control