Optimal planning tool for zero energy district

This approach has the potential to increase energy efficiency, renewable and local resource application. This research work describes the development of optimal planning tool with on-site energy management model and the analysis of case study existing campus building stocks. This research focuses on the boundary of the building, thereby not being limited to only a single building but spanning over a cluster of buildings, so called "Zero Energy District". Using the developed methodology, the optimal CHP capacity for each building, optimal capacity distribution in the boundary for minimizing annual primary energy consumption was simulated. The series of results in case study show that the on-site energy generation has potential to reduce primary energy consumption and it is more effective by integrating buildings. Moreover, the proposed model makes it possible to utilize the measured database of existing building stocks for planning energy efficiency improvement in the campus.