This work involves the development of an advanced solar shading control algorithm with the aim of reducing energy requirements and improving visual comfort. The proposed control system is based on IoT devices that sense the environment and interact with it following real-time intelligence that allows adaptation to changing situations. The designed control strategy is aimed at adjusting the tilt angle of movable Venetian blinds to take the greatest advantage of natural light in the presence of occupants, avoiding glare, and ensuring energy savings. The study integrates the use of an artificial light management system, which is necessary to reach the setpoint illuminance. The results show that the control system can halve cooling energy demand and it can reduce electricity for artificial lighting by up to approximately 30%. In the scenario based on scheduled occupancy and LED lamps, an economic saving of 30.8% is achieved. The research findings highlight how the use of devices with greater intelligence can guide towards better-managed buildings, which are more responsive to user preferences.

IoT Control-Based Solar Shadings: Advanced Operating Strategy to Optimize Energy Savings and Visual Comfort

Nicoletti, Francesco
;
Carpino, Cristina;Arcuri, Natale
2023-01-01

Abstract

This work involves the development of an advanced solar shading control algorithm with the aim of reducing energy requirements and improving visual comfort. The proposed control system is based on IoT devices that sense the environment and interact with it following real-time intelligence that allows adaptation to changing situations. The designed control strategy is aimed at adjusting the tilt angle of movable Venetian blinds to take the greatest advantage of natural light in the presence of occupants, avoiding glare, and ensuring energy savings. The study integrates the use of an artificial light management system, which is necessary to reach the setpoint illuminance. The results show that the control system can halve cooling energy demand and it can reduce electricity for artificial lighting by up to approximately 30%. In the scenario based on scheduled occupancy and LED lamps, an economic saving of 30.8% is achieved. The research findings highlight how the use of devices with greater intelligence can guide towards better-managed buildings, which are more responsive to user preferences.
2023
978-3-031-15160-6
978-3-031-15162-0
978-3-031-15159-0
Energy savings
Internet of Things
Solar gain
Venetian blinds
Visual comfort
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/341475
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact