Predictive Energy Optimization for ACMV Systems

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Technology Category:
Controls and Operations
Technology Supplier:
BuildingIQ Singapore Pte Ltd
Originated From:
Suitability in Existing Building/New Development:
Existing Building , New Development
Suitability Climate Zones
Hot and humid , Hot and dry
Last Update Date
09/02/2018 11:16:13
Technology Keywords
predictive, energy, optimization, ACMV, continuous commissioning, thermal comfort, recommissioning, diagnostics, analytics, HVAC, big data, IoT, management, control
Technology Description

BuildingIQ Predictive Energy OptimizationTM (PEO) uses advanced machine learning thermodynamic modeling to create a thermodynamic model of the building being serviced. Data is gathered from the building’s BMS/BAS, electrical meters and weather data sources. This model relates thermal behavior on a zone level to energy consumption in relation to external factors such as weather and usage patterns. Using this model, and continuously improving and updating it, PEO controls zone temperature predictively within the set temperature band to use the building’s thermal inertia for energy savings.

BuildingIQ continuous commissioning uses advanced analytics to identify plant malfunction and/or plant optimization scope from data gathered from the building’s BMS/BAS. It actively helps building owners/managers to resolve problems identified and verify resolution.

Estimated First Cost
0.00 S$/sqm
Estimated Maintenance & Operation Cost
2.00 S$/sqm/year
Estimated Life Time
15 years
Estimated Lead Time
1 month
Technology Features

BuildingIQ software generates two models for each building: 1. Baseline model, representing the building’s thermodynamic behaviour without BuildingIQ intervention; 2. Optimised model with BuildingIQ predictive energy optimisation.

The process involved complies with the IPMVP (International Performance Measurement and Verification Protocol) Option C. guidelines and is recognised within some jurisdictions in Australia and the USA as evidential proof of energy savings.

The BuildingIQ solution utilises the temperature band set by the building operator for the individual zones to dynamically and predictively adjust the zone temperatures settings in the BMS. These adjusted settings place more or less demand on the entire ACMV system, including the chiller plant. With these principles and intelligent use of the building inertia (as reflected in the computer model) substantial energy savings are achieved.

It is noteworthy that these energy savings are incremental to whatever efficiency has been achieved on the supply side of the ACMV system, such as chiller optimisation, VAVs, etc.
During building ACMV design it can be ensured that adequate parameters for measurement and control are available from the BMS/BAS for integration of BuildingIQ solution. Equally, a design with adequate sub-metering and flow-metering will allow for better granularity of optimisation. Also a BMS/BAS with BACnet-IP capability is preferred. As the BuildingIQ system is based on machine learning, the system keeps itself up to date and adjusts the thermodynamic model automatically as usage patterns or external factors of the building change. Close cooperation with the ACMV plant operation and maintenance is essential to reap the maximum benefits from the Continuous Commissioning feature.
Technology Advantages
1. Energy saving through intelligent and predictive utilisation of building thermal inertia
2. Optimal ACMV plant performance through continuous commissioning
3. Improved user comfort as over-heating and over-cooling events are largely eliminated
Technology Limitation
1. BuildingIQ service depends on the availability of a BMS/BAS and energy meters/sub-meters 
2. The tighter the temperature control band limits the lower the achievable energy savings
Cost and Benefit Analysis
Typical savings are in the range of 10% to 20% of ACMV energy usage. The comparison baseline is the weather normalised energy consumption of the building prior to BuildingIQ implementation.

Certifications and Awards
BuildingIQ thermodynamic model complies with ASHRAE 55 “Thermal Environmental Conditions for Human Occupancy”. BuildingIQ M&V complies with IPMVP Option C.