Sahand Sarvari
Exploiting data-driven processes for detecting and diagnosing the occurrence of faults in HVAC systems.
Rel. Alfonso Capozzoli, Marco Savino Piscitelli, Rocco Giudice. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Energetica E Nucleare, 2024
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Abstract
According to the most recent IEA study from 2022, the building sector is a significant global energy consumer and one of the biggest CO2 producers, accounting for 30% of global final energy consumption and 26% of global energy-related emissions (11% from direct emissions in buildings and more than 20% from the production of electricity and heat used in buildings). Up to 50% of the energy used in commercial and institutional buildings can be attributed to the HVAC system alone. It is crucial for these systems to operate effectively and efficiently because malfunctioning sensors and component faults can lead to significant energy waste, increased emissions, and negatively impact occupants' comfort.
Therefore, a substantial amount of energy can be saved by effectively applying fault detection and diagnosis (FDD) techniques
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