AI for HVAC System Optimization

Artificial intelligence to reduce energy consumption and increase the resilience of critical infrastructure

HVAC systems are one of the main sources of energy consumption in data centers and energy-intensive facilities. Despite advances in digital infrastructure, cooling continues to have a significant impact on operating costs and overall performance.

The Challenge

HVAC systems ensure reliability and operational continuity. However, they often fall short of maximum efficiency, resulting in excessive energy consumption, higher operating costs, and increasing management complexity, especially in data centers and critical infrastructure. The main causes are:

Partial and time-varying loads

Static programming logics

Variable weather conditions

Inefficient machine staging

Reduction in efficiency caused by operational wear

We have developed innovative solutions based onartificial intelligence to improve the energy efficiency and resilience of HVAC systems through two complementary approaches:

  • Intelligent Optimization of Existing Systems Using AI Algorithms
  • Integration of AI-Controlled Thermal Batteries for Dynamic Energy Management

Both solutions are designed for use in data centers, technology campuses, mission-critical infrastructure, and large industrial facilities, where energy efficiency and operational continuity are essential requirements.

Benefits for Data Centers and Large Facilities

Case Study

From Excess Energy to Operating Value

The logistics facility of a leading omnichannel retailer has a photovoltaic system that, during peak production periods, generates more energy than is needed. To make the most of this energy, a project was launched that involved installing a thermal battery integratedwith the HVAC system and implementing a smart control platform.
The goal is to increase self-consumptionof renewable energy, reduce grid draw, and improve the efficiency of existing chillers through predictive strategies based on energy data, weather, and thermal demand.

Customer requirement

To utilize this excess production and reduce grid consumption of the HVAC system, improving the efficiency of existing chillers without increasing installed capacity.

Project start

Starting from the existing thermal plant, we will implement a thermal storage system composed of 10 insulated tanks, booster pumps connected to the HVAC circuit, the refurbishment of the AHUs, and the upgrade of the control system managing energy shifting. The civil works have already been completed upstream; our scope includes piping, pumps, valves, AHUs, and the on-site integration of the control platform.

Activities carried out

Site coordination and team management; installation of field instruments for monitoring and control; mapping of variables and integration with the Amazon BMS; configuration of predictive and fallback logics for storage charge/discharge management, with real-time monitoring of PV data, weather conditions, and thermal demand.

Benefits achieved

Energy shifting of thermal loads to the most efficient time slots, with increased photovoltaic self-consumption and reduced grid draw. More stable HVAC operation (reduced peaks and on/off cycles), improved chiller performance thanks to the increased thermal inertia enabling charge and discharge operating strategies. The system provides historical traceability, diagnostics, and simplified maintenance, serving as a benchmark for efficiency and sustainability in the industrial sector.

Would you like to learn how to apply AI to your HVAC systems?

TopNetwork supports companies and infrastructure operators in developing advanced solutions to reduce energy consumption, increase resilience, and improve the energy sustainability of critical facilities.

Would you like to learn how to apply AI to your HVAC systems?

TopNetwork supports companies and infrastructure operators in developing advanced solutions to reduce energy consumption, increase resilience, and improve the energy sustainability of critical facilities.