Client — Pharmaceutical Company
|Location||Los Angeles - California|
|Total Square footage||88980|
|Total square footage controlled by BrainBox AI||44490|
|HVAC Equipment Controlled||Variable air handling units (VAV) and Air handling units (AHU)|
The client and BrainBox AI teams collaborated to qualify and select a building in the campus to kickstart the sustainability project.
Once this office building was chosen, the BrainBox AI solution implementation began, starting with the mapping and labelling of the controlled equipment using industry standard Haystack tagging. Once the data was normalised, the solution began to learn the thermal behaviour of the different zones in the building and then incorporated external data points such as weather predictions and utility tariff structures. With this knowledge it was able to predict the future state of zones with up to 99.6% accuracy. A curated set of algorithms was then deployed to achieve an optimal energy consumption and ultimately reduce the building’s carbon footprint.
|Pounds of coal burned||105109|
|Gallons of gasoline consumed||10690|
|Miles driven by an average gasoline-powered vehicle||235810|
BrainBox AI’s solution resulted in significant equipment efficiency improvements that allowed for an annualised electricity saving of 16% or 156,000 kWh. Given the power mix of California’s energy grid (66.91% non-renewables and unspecified energy1), these electricity savings go a long way in reducing the building’s carbon footprint.
By achieving a reduction in electricity consumption and peak demand periods, the client was able to recognize carbon reductions of 95 tCO2eq from its office building. This is equivalent to the carbon dioxide emissions from 105,109 pounds of coal burned. Furthermore, the reduction in energy demand during peak periods allowed and will continue to empower the client to curtail its reliance on non-renewable sources.