Abstract: Energy simulation tools are increasingly used for analysis of energy performance of buildings and the thermal comfort of their occupants. Today, there are many building performance simulation programs with different user interfaces and different simulation engines that are capable of these analyses. Given the significant variety of such simulation tools, it is crucial to understand limitations of the tools and the complexity of such simulations. The reliability of data exchange and straightforward, user-friendly interfaces are major aspects of the practical usage of these tools. Due to the huge amount of data that is to be input and the availability of rich 3D geometry rendering engines, effective data exchange and software interfaces are crucial to enable faster and reliable performance of the simulation tools.. For our project we have chosen a office building of area 17000 sqft. The building was two stored and the energy consumed annually by the building is 314339 units. After applying the following various energy measures. The energy consumption decreases to 290830 units. Further the PV generation from the rooftop solar system in nearly 610,512 kWh/year. The energy consumption of the building is 314339 kWh. It means that it is a net positive energy office and if the office is made twice its area even then also it will be a net zero building.

Keywords: ZEB, Equest