DySC Research Group on Dynamical Systems and Control, Faculty of Engineering and Architecture, Ghent University, Tech Lane Science Park 125, B-9052 Ghent, Belgium
Ricardo A. Cajo Diaz
Campus Gustavo Galindo, Facultad de Ingeniería en Electricidad y Computaciòn, Escuela Superior Politécnica del Litoral (ESPOL), Km. 30.5 Vía Perimetral, Guayaquil P.O. Box 09-01-5863, Ecuador
Isabela R. Birs
DySC Research Group on Dynamical Systems and Control, Faculty of Engineering and Architecture, Ghent University, Tech Lane Science Park 125, B-9052 Ghent, Belgium
Dana Copot
DySC Research Group on Dynamical Systems and Control, Faculty of Engineering and Architecture, Ghent University, Tech Lane Science Park 125, B-9052 Ghent, Belgium
Clara M. Ionescu
DySC Research Group on Dynamical Systems and Control, Faculty of Engineering and Architecture, Ghent University, Tech Lane Science Park 125, B-9052 Ghent, Belgium
Light regulation systems in industrial or office buildings play an important role in minimizing the use of fossil energy resources, while providing both economic and ergonomic optimal functionality. Although industrial buildings resolve the problem of interaction or disturbance mitigation by providing constant light levels exclusively from artificial sources, office landscapes may benefit from up to a 20% decrease in costs if mixed light sources are optimized properly. In this paper, we propose a theoretical framework based on model predictive control (MPC) to resolve a multi-system with strong dynamic interactions and multi-objective cost optimization. Centralized and distributed predictive control strategies are compared on various office landscaping structures and functionality conditions. Economic and ergonomic indexes are evaluated in a scaled laboratory setting.