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Electric lighting is one of the major energy loads in non-residential buildings. It is strategic to examine the real behaviour of available lighting control systems for practical applications so as to allow the development of strategies that can improve the reliability of measured data (in terms of illuminance at the desktop) and the consequent response of the control system. This paper presents a case study of an office where lighting data measured at the desktop and read by the automation system have been analysed. It also investigates the consequent response of the control system. In particular, we extrapolate data on the system's improvement margins and suggest suitable correction functions to be applied to the illumination data measured by ceiling-mounted sensors. [ABSTRACT FROM PUBLISHER]

Due to new European standards and requirements for energy performance in non-residential buildings, it is important to explore and quantify the benefits of intelligent (automated) energy-efficient operating systems relative to conventional (manual) systems. This paper explores the energy performance of an automated lighting control system under realistic conditions in two groups of lecture rooms that have the same shape, dimensions and exposure. The results demonstrate that the use of automated systems for electric lighting control can improve the energy performance of the system between 40% and 65% depending on the complexity of the system and the parameters under control. [ABSTRACT FROM AUTHOR]