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Advanced control strategies for improving occupant comfort and energy performance by means of dynamic facades (internship + thesis)
keywords BUILDING AUTOMATION, BUILDING PHYSICS, DATA ANALYTICS, ENERGY EFFICIENCY
Reference persons ALFONSO CAPOZZOLI, FABIO FAVOINO
Research Groups BAEDA lab (www.baeda.polito.it), TEBE
Description Dynamic building envelope components, if properly integrated and operated, can significantly contribute towards the achievement of decarbonization targets while maintaining high levels of environmental comfort in the built environment (thermal, daylight, aural comfort and IAQ) . The improvement of everchanging building performance targets, though, is highly dependent on the control strategies adopted. Rule Based Controllers are by far the most adopted control option in the market, due to their easy implementation, nevertheless more advanced control strategies could maximise multiple performance objective considering both energy use and occupant comfort.
The aim of this internship and thesis work is to understand: i) issues of implementing control strategies on real building and test facilities; ii) get experience of online measurements, data acquisition systems and single board controllers; iii) investigate advanced and rule based control strategies; iv) test and evaluate (by means of real and virtual experiments and simulations) alternative control strategies for dynamic building envelope components. It is strongly suggested willigness to program in Python, some basic knowledge of Python, Matlab and Energyplus.
Deadline 25/02/2023
PROPONI LA TUA CANDIDATURA