A Multi-Criteria Model for the Optimal Design of Distributed Energy Systems

The optimal design of distributed energy systems can significantly improve the performance of such systems. A multi-criteria modeling approach for the optimal design of distributed energy systems is presented in this paper. The total annual cost and greenhouse gas emissions are selected as the objectives to optimize simultaneously. The model is applied to a hypothetic hotel in Beijing, China. Optimal total annual cost and greenhouse gas emissions are presented in the form of a Pareto-frontier, on which a decision maker can pick up any point according to their specific design criteria or interest.