jaue2019-037: A Simulation Approach for The Optimization of Urban Energy Supply Systems

Abstract

The optimization of urban energy supply systems requires an optimal layout of distributed energy supply systems 
(DESS). This paper provides a simulation study for an optimal layout of DESS in commercial districts based on 
three indicators. The three indicators are as follows. 
1. Minimizing annual primary energy consumption. 
2. Minimizing life cycle CO2 emissions. 
3. Minimizing Standard deviation of power supply and demand. 
The simulation study uses five-minute interval operation models of DESS such as photovoltaics, combined heat 
and power, district heating and cooling, storage battery, thermal storage tank. In addition, this approach is based on 
energy demand data which estimates five-minute intervals for each building. 
We selected several Japanese commercial districts as simulation targets, and created cases on the settings of DESS 
such as capacity, placement location, and operation settings. The simulation study uses these cases to calculate 
energy consumption at five-minute intervals in target districts, and then evaluates the calculation results according 
to three indicators. The results indicate that there are differences in the evaluation ranking of the cases between the 
indicators. It also suggested a DESS layout plan to help the optimization of urban energy supply systems according 
to the characteristics of the target commercial districts.