C30 -- Unlocking Hidden Energy Efficiency Potential in Buildings Using Artificial Intelligence Algorithms for HVAC Systems

HVAC systems in buildings are evolving and becoming increasingly complex systems that comprehend variousmechanical and electrical components. Thus, the main challenge is to generate and distribute heat or cooling in the most efficient way to lower consumptions and ensure indoor comfort. This can be achieved by substituting low-efficiency generators (boilers, chillers, air treatment units…), increasing the envelope insulation or installing low transmittance windows and doors etc. However, it is worth mentioning that there is a hidden and extensive potential of energy consumption reduction given by Artificial Intelligence algorithms based on optimization control strategies applied to HVAC system. The control system proposed in this paper embodies two different levels: the first and lower one (lvl. 1) manages chillers, pumps and cooling towers while the second is a supervisory control level (lvl. 2) that optimizes thermal production by implementing optimization-based control algorithms that minimize energy consumption and ensure customer needs.