Robust optimization of distributed generation investment in buildings

This paper presents a robust optimization method to determine the optimum capacity of distributed generation technologies for buildings in the face of uncertain energy demand. The model presents capacity requirements of energy system that is almost optimal for different realizations of the uncertain demand. By adjusting the penalty and degree of solution robustness parameters, the trade-off between optimality and feasibility is analyzed. The optimization is carried out on three related criteria, economical, primary energy saving, and environmental performance as a multi-objective optimization.