Energy performance prediction (by BIN method) of a system with heat pump applied to UNIQA building

Abstract

Building energy performance prediction is very important since allows engineers to evaluate, among others, system operation energy consumption and costs. Many different methods exist for performance prediction, from simple to very complex, but choosing an appropriate method is as important as using methods regularly. In this paper, estimation of energy consumption and costs with BIN method was performed for refurbishing air conditioning system in office building in Belgrade. The proposed heat recovery from exhaust air by installing a heat pump system between exhaust and fresh air had been compared to existing system and has shown great cost reduction for air preparation of nearly 85%. The methodology applied is not computationally intensive and can be done regularly for heat pump systems with air as a heat source if proper weather data for location are provided and generated. In addition, one way to generate necessary BIN data from regularly available typical meteorogical year was shown.