The optimal solution is obtained by minimizing an Objective Function that takes engineering technical feasibility, Capital Costs (CAPEX), Operation Costs (OPEX), CO2 Emissions and other aspects into consideration. By means of this procedure, once the user demands (load, cooling and heating) are known, the code will constraint the solution to match with such demands. In case that the user demands are unknown, our code will still be able to build the load, cooling and heating profiles on the basis of the size and of the typology of the industrial park. 

In summary, the key features of our code are:

• Energy Dispatch by solving Unit Commitment Problem and Optimal Power Flow (Electricity, Cooling and Heating), for a given plant layout.

• Retrofitting an existing District/Industrial Park finding the best configuration of the system for answering for CO2, Primary Energy Source consumption and Capital Expenditure reduction

• Sizing and design new District/Industrial Park plant taking end-user demands (e.g. Commercial, residential, office) into consideration.

• Embedded off-design components maps and cost function for supplying the lack of information of DataBase