Free-running control logic via a 24-hour forecasting platform: self-actuation testing in a Turin demo building

This study investigates a new approach to optimise the integration of bioclimatic natural cooling solutions in smart free-running buildings to exploit the untapped potential of climate and weather conditions, assuring indoor thermal comfort without the need for an active mechanism. This work introduces a methodological pipeline based on white-box dynamic energy models, allowing for the prediction, optimisation, and suggestion of hourly schedules for shading and ventilation to users (or automatic control systems), with the aim of maximising the adaptive thermal comfort behaviour of a building through the prevention, mitigation, and dissipation of heat gain. The developed platform was initially tested in a demo low-tech case in Turin, Italy, involving user self-actuation of shading and ventilation mechanisms. The initial results confirm the module’s reliability in enhancing comfort, although limitations were observed in terms of user adherence to the suggested self-actuation scheme. White-box modelbased digital twins can be used to optimise free-running building conditions. However, direct integration within building management systems may be preferable, thus avoiding the need for additional user involvement.