Ergonomic and Economic Office Light Level Control

Maria Ghita, Ricardo A. Cajo Diaz, Isabela R. Birs, Dana Copot and Clara M. Ionescu
Additional contact information
Maria Ghita: 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

Energies, 2022, vol. 15, issue 3, 1-14

Abstract: 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.

Keywords: predictive control; office landscape; energy saving; self-tuning; ergonomics; distributed control; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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