Home to over 600 scientists, physicians, nurses, statisticians, research administrators, and support staff, our client is one of the most reputed universities in the United States. Initially, CopperTree deployed a CopperConnector to the client facility in order to collect real-time data from their BAS (Building Automation System). The CopperConnector searches the BAS network for data points and transmits them to the cloud, giving building owners access to valuable data. Within a week of CopperTree’s standard ruleset implementation on the 459 HVAC systems in the building, Kaizen picked up a variety of insights in its analysis. Among them, Kaizen suggested to address a high priority insight of a low ∆T, a temperature difference between chilled water return and supply temperatures, being less than 10° F, while the corresponding Pump VFD speed was equal to or greater than 89%.
ASHRAE Standard 90.1-2016 now requires chilled-water coils to be selected for a minimum of 15°F ∆T. This higher ΔT reduces the water flow rate (GPM), which allows the installation of smaller valves, pipes, and pumps, and also reduces pumping energy. Also, a low ∆T can be a serious problem for a constant flow system because it robs the chiller of its useful capacity.
CopperTree suggested that the client first verify the chiller controls, operations, and sequencing. In addition to that, according to the Affinity Law, a 50% reduction in pump speed would reduce the energy consumption by 87%. CopperTree also recommended to run a delta-T of more than 13° F in order to reduce the pump speed to lower than 50%, as it would be the ideal condition for an efficient chiller operation.
With Kaizen’s custom logic builder and rules, you can create complex mathematical algorithms to manipulate the BAS data and display it as insights, charts, reports, and dashboards. Kaizen gives you unlimited possibilities for data analysis and visualization.
In just the 2 first months of analysis alone, Kaizen detected key faults that could save $32,273 per year. That’s 358,588 kWh of energy or 254,000 kg of CO2 emissions. To put it in perspective, that’s like avoiding burning over 281,000 pounds of coal in the US.
Click here to download a copy of this case study: Case Study – Kaizen FDD Delta-T Analysis for Research Facility
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