PartagerGestion en temps réel de la consommation d'énergie du chauffage, de la ventilation et de la climatisation d'un immeuble (en anglais)
Des réductions de 25% des coûts de l'énergie liés aux infrastructures de génie climatique sont possibles grâce à un logiciel qui permet d'ajuster automatiquement et en temps réel la consommation d'énergie.
BuildingIQ, an Australian-based software company, is making software that automatically makes real-time adjustments to building controls to reduce HVAC consumption based on several indicators, including weather forecast data, building characteristics, utility tariffs, demand response signals and occupant comfort.
Its most iconic project is the largest Gold LEED-EB building in New York City. The predictive energy optimization platform from BuildingIQ was installed in three weeks and saved the owner nearly USD 500,000 in HVAC energy in the first year alone, representing a 300% return on investment. Using existing building data and external data such as weather forecasts, energy tariffs and demand response signals, BuildingIQ’s proprietary algorithms began delivering intelligent automated energy savings.
In addition to the USD 500,000 in HVAC energy savings, the building saved 440 tonnes of CO2 from being released into the environment in its first year.
The software works with a building’s control system to automatically fine-tune temperature and pressure set points. Changes are made at the air handler unit (AHU) level. Typically, the software only needs to communicate with a few points per AHU, so the cost and complexity of deploying the solution is minimal. The solution is deployed as a web-based software as a service (SaaS) product.
The software automatically and continuously obtains data and based on those inputs, it runs thousands of simulations to arrive at the most efficient HVAC operating strategy for the next 24 hours. It then communicates to the BMS to make changes at the AHUs. Small changes at the AHUs result in large financial savings without affecting occupant comfort.
Its most iconic project is the largest Gold LEED-EB building in New York City. The predictive energy optimization platform from BuildingIQ was installed in three weeks and saved the owner nearly USD 500,000 in HVAC energy in the first year alone, representing a 300% return on investment. Using existing building data and external data such as weather forecasts, energy tariffs and demand response signals, BuildingIQ’s proprietary algorithms began delivering intelligent automated energy savings.
In addition to the USD 500,000 in HVAC energy savings, the building saved 440 tonnes of CO2 from being released into the environment in its first year.
The software works with a building’s control system to automatically fine-tune temperature and pressure set points. Changes are made at the air handler unit (AHU) level. Typically, the software only needs to communicate with a few points per AHU, so the cost and complexity of deploying the solution is minimal. The solution is deployed as a web-based software as a service (SaaS) product.
The software automatically and continuously obtains data and based on those inputs, it runs thousands of simulations to arrive at the most efficient HVAC operating strategy for the next 24 hours. It then communicates to the BMS to make changes at the AHUs. Small changes at the AHUs result in large financial savings without affecting occupant comfort.