CHILLER PLANT CONTROL AND OPTIMISATION
Chiller plants made easy
Our award-winning PlantPRO chiller plant control and optimisation solution saves energy in your building by using smart machine learning controls, optimisation, analytics and reporting in your chiller plant room.
Turn your chiller plant into a value-generating asset
In commercial buildings, HVAC is by far the most energy intensive system, accounting for close to half of the total energy consumption.
Designed and developed by Conserve It, PlantPRO provides control of the chiller plant system in a way that delivers efficiencies beyond that of the individual components.
Using feedback from its onboard real-time analytics, diagnostics, measurement and verification systems to continually readjust the chiller plant for optimal performance, and created with an in-depth understanding of all thermodynamic variables involved in managing plant room HVAC equipment, PlantPRO enables optimum control of every device and its integration into a single synergistic system.
PlantPRO® is an award-winning plant room optimisation and control software developed by Conserve It. It provides control of the chiller plant system in a way that delivers efficiencies beyond that of the individual components.
PlantPRO uses feedback from its on-board real time analytics, diagnostics, measurement and verification systems to continually readjust the chiller plant for optimal performance. PlantPRO was named Product of the Year at the 2015 AIRAH Awards, and was awarded Energy Savings Solution Product of the Year at the 2017 Control Trends Awards.
PlantPRO is deployed across six continents, 20 countries and 50 cities around the world covering over 2 million square metres of building space.
Chiller Brand and Compressor type agnostic so it works with any manufacturer's chiller systems.
Based on Niagara Framework and is Haystack compatible, integrate with existing building systems using BACnet, Modbus LON or on board IO.
Provides on-board real time analytics, diagnostics, reporting, measurement and verification to continually readjust the chiller plant for optimal performance.
Can provide up to 40% savings on energy consumption by using self-learning and self-adjusting controls and optimisation algorithms based on ASHRAE study.