As global warming continues to evolve and building cooling needs are getting stronger, reliable Building Energy Simulations (BES) are crucial for designing energy efficient systems. An open-source simulation software − EnergyPlus (EP) − provides Typical Meteorological Year (TMY) weather data that consists of a 15-year average. One way to improve the accuracy of BES is to improve the correctness of its weather files. Two major concerns about the TMY data are the inability to detect extreme conditions and rural data locations. While this may not make a significant difference for smaller towns, it certainly matters regarding large metropolis. Proposed in this study microclimate (MC) data can be used for any coordinate within a bounding box but it requires time-consuming data preparation to match the EP format. This study investigated effects of Urban Heat Island (UHI) in New York City and the necessity for MC data. UHI simulation for New York City Manhattan in July 2020 resulted in a 17.6% higher cooling demand (CD) than in the rural area, and 26.0% higher than the TMY data. Additionally, the difference in CD between downtown Manhattan and Queens during a four-day heatwave in July 2020 was 17.7%.This research reassured that to get a correct CD estimate it is essential to include MC data in energy building design and found a way to eliminate the time-consuming aspect of it. With the computational framework − Virtual Information Fabric Infrastructure (VIFI) − MC data can be automatically prepared and converted to the correct format.