Hive Optimal
Hive Optimal - Predictive software for automatic control of HVAC-R systems to make buildings consume less energy, lower carbon footprint, and operate in a smarter way.
Hive Optimal is an AI-based energy optimization software that drives existing cooling and refrigeration systems (without any equipment replacement) to generate up to 40 % savings. It helps commercial and industrial buildings lower energy consumption & reduce carbon footprint. Today, HVAC-R equipment operates under the control of automation systems or a building management system which have a fixed operation and can only react to the external & internal environment according to programmed logic. BeeBryte offers an additional layer of intelligence that makes the system predictive and adaptive, unlike traditional reactive regulation. Using weather forecast and activity patterns, it anticipates energy demand and adjusts the operation of the equipment accordingly. It improves the reliability of the installations (early detection of anomalies) & reinforces temperature uniformity in different zones, guaranteeing compliance with prescribed constraints, such as air quality, and comfort.
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Key features
- •Up to 45% savings in annual chiller plant energy consumption
- •100% proprietary optimization technique
- •1000 t avoided CO2 emissions at a site in Singapore
- •0 equipment replacement required
Profitability
- •Up to 40% energy cost savings
- •0 CAPEX commitment
Categories of Application
SDG’s of application
Maturity Stage
- Medium and large scale commercialization
- Small scale commercialization
- Initial market commercialization
- Prototype testing in the real world
- Prototype testing 1:1 in the lab
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Related Topics
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