In this work, numerical simulations have been performed to study the effect of dynamically changing temperature on energy consumption, cooling demand and carbon footprint. Excel was used along with the cooling demand equation, air flow rate equation and temperature constraints for optimization of the conditions. Simulations have been carried out by optimizing the indoor temperature with respect to the outdoor conditions while keeping the indoor temperature within the comfort zone. The simulations have been done for 4 cases at 4 different times (temperature conditions) in a year. The cooling demand for each case has been modelled and plotted. It has been observed that among the three setting the optimized setting outperformed the fixed mean temperature and the fixed lower temperature in all the cases, while maintaining the quality of the air.