Alessandro Aniello Mele
Towards scalable implementation of advanced control strategies for HVAC systems in buildings.
Rel. Alfonso Capozzoli, Marco Savino Piscitelli, Giuseppe Razzano. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Energetica E Nucleare, 2025
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Abstract
The building sector is one of the largest consumers of final energy, with HVAC systems representing a major share of this demand. Traditional rule-based HVAC controllers often prove inefficient under real operating conditions, as they tend to prioritize guaranteed indoor comfort over energy savings. To address this, recent research has focused on advanced control strategies such as MPC and DRL, which leverage real-time predictive capabilities to improve energy efficiency and flexibility. However, their adoption is limited by high computational requirements, often incompatible with existing BACS and by their "black-box" nature, which reduces stakeholder trust and hinders real-world implementation. This work is positioned within this context, aiming to facilitate the implementation of advanced controllers while improving their transparency and scalability.
The HVAC system under investigation is a heating system consisting of an air–water source HP, a hot-water TES tank (which also acts as a hydraulic separator between the primary loop (HP-TES) and the secondary loop (TES–room distribution), and fan coil units as terminal devices in a single-zone building configuration
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