The importance of derivatives for simultaneous optimization of sizing and operation strategies: Application to buildings and HVAC systems
Résumé
This paper presents optimization approaches for a complex nonlinear constrained optimization problem: sizing integrating operation strategies of energy systems (heating, ventilation) for positive energy buildings. This is a multi-criteria optimization problem of big size with differentiable objective functions (thermal comfort and life-cycle cost) and a lot of continuous decision variables. To solve it, 2 optimization methods will be studied: (i) derivative-free method (NSGA2) et (ii) derivative-based method (Sequential Quadratic Programing). The study case is a positive energy house in South-East of France in which we will show that derivative-based optimization approach will be more efficient with much less computation time and a better quality of Pareto front solutions.
Domaines
Energie électrique
Origine : Fichiers produits par l'(les) auteur(s)
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