The goal of the research was to improve predictions of urban microclimates and building energy demands by creating a new method that considers the influence of surrounding buildings and local climate on building performance. The researchers combined urban physics and building energy models to better understand how factors like building orientation and vegetation affect energy consumption. They found that using a dynamic two-way coupling approach led to more accurate predictions of cooling energy consumption and peak cooling demand for different types of buildings. The study suggests that using a complex two-way coupling approach with environmental data exchange is crucial for modeling tall buildings in urban areas.