Validating the application of occupancy sensor networks for lighting control
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A model predictive control optimization environment for real-time commercial building application. The obtained results regarding the potential energy savings (from 17% to 32%) were evaluated taking into account both the monitored annual electric energy consumption (for operation) and the parasitic energy consumption due to the installed devices (luminaire ballasts, sensors and controllers), and were compared with the estimated energy consumption calculated applying the method proposed in the European standard EN 15107. Neumann (2010) “Modelling and Simulation in Building Automation Systems.” Chapter 14 in Building Performance Simulation for Design and Operation (eds. Journal of Building Performance Simulation, 7(2), 100-118. Evaluation of commercial building demand response potential using optimal short-term curtailment of heating, ventilation, and air-conditioning loads.
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An energy signal tool for decision support in building energy systems.