Predictive HVAC control of a primary school

     Objective: Managing the school’s HVAC system, making the right compromise between indoor air quality and outdoor air quality.

Contexte

Déploiement - offre Smart

Building

  • Primary school
  • 520m2 – one level
  • North of France
  • 16 room

Ventilation system

  • Double flow AHU
  • Two operating speeds :
    100% or 22% of its capacity

Heating system

  • Heat pump Atlantic Excellia 18kW

1. IAQ Monitoring

Installation de 4 capteurs dans l’enceinte de l’établissement :
– 2 capteurs de CO2 – COV légers
– 2 capteurs de CO2 – PM – COV totaux

2. Piloting

The piloting of the CMS is controlled by CO2 and fine particulate concentration limit values

Results

Energy savings of 13% linked to a 37% decrease in AHU load thanks to predictive regulation. 

Expert plan Simulation : Predictive HVAC control

Predictive control of heating according to occupancy, external disturbances (weather) and the building’s thermal inertia.
In this way, we limit situations of over-consumption and discomfort.

0 %

energy savings

ROI from
the 1st winter!

0 %

reduction in CO2

Decrease
carbon footprint

Maintaining indoor air quality

Compliance with regulatory thresholds for optimal health and comfort 

A turnkey solution

100% implementation by Octopus Lab of building-wide control via the BMS connection

Optimization of equipment

Reduction and optimization of the operation of HVAC systems (planning and engine intensity)

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