Multi-objective robust optimization of energy systems for a sustainable district in Stockholm

This paper applies a multi-objective robust design optimization approach to the energy system design of a sustainable district. The life cycle cost and the greenhouse gas emissions are the two objectives that are minimized. In order to investigate the possbility to implement a nearly zero energy district, the nonrenewable primary energy consumption is kept below a certain value, handled as a constraint in the optimization. Through the proposed robust design optimization methodology, the robust Pareto optimal solutions are obtained, which are less sensitive than the deterministic ones to the uncertainties assumed in the selected most influential economic and technical paramers as well as design variables. ; QC 20160923