There is an ongoing research on reconciling the difference between predicted/simulated and actual energy consumption in buildings (either in design or in operational phase). In this paper a fully automated acquisition system for occupancy and energy measurement data is going to be presented. The proposed system comprises a depth camera cloud and RFID for occupancy extraction, a network of CO2 and temperature sensors and separate energy meters for HVAC, lighting, wall sockets and equipment. The extracted occupancy and energy consumption measurements of the proposed system could be utilized in a variety of applications, such as real-time control strategies, performance simulation analysis, high semantic occupancy and energy consumption information extraction, even business processes analysis and simulation. The proposed system has been evaluated to a large scale experiment, and its accuracy and robustness will prove its significance to the occupancy simulation processes, as well as to any kind of application that exploits occupancy.