Coupling of Building Data Analysis and Building Simulation – Case Study in Large-scale Complex Building

Abstract

This study searches for energy saving measures and quantifies their potential by analyzing detailed energy and environmental data measured at a large scale complex building. Based on the results, the primary energy saving potential of these measures was quantified by coupling the calculation of energy saving measures’ effect with a heat source system simulation, because the energy saving measures change the heat load of the building and affect the coefficient of performance (COP) of the heat source system. Four energy saving measures on the tenant side and two measures on the heat source system were identified, and 8.7% of the primary energy consumption potential was estimated by implementing all measures, even in a newly constructed energy-efficient building. The effect of the combination of the data analysis and simulation is not significant in this case study. The relationships between “big data” analyses and building performance simulations are also discussed in this paper since the high-resolution operation status of the equipment, the environmental conditions and occupants’ behavior data will be available in the near future.