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In collaboration with , the 1000IL in-duct air cleaning unit was tested against MERV13 and MERV14 filters under controlled conditions measuring particle removal, pressure drop, and supply fan electrical power consumption. Testing was conducted by nebulizing potassium chloride solution in one of two locations, directly into the return duct (in-duct) prior to the air handling unit or into the test chamber the air handling unit serves (in-room). Single-pass removal efficiency was measured from 10 nm – 10 μm by placing an optical particle sizer (OPS) and scanning mobility particle sizer (SMPS) before and after the filter holder, and effective air changer per hour were measured using a particle monitor placed the in the chamber connected to the air handling unit. Key findings include:

• The average single-pass removal efficiency of the 1000IL was 94.9±3% at 300 nm, compared to 1.8±13.3% and 75±3.5% for MERV13 and MERV14 filters, respectively.��
• The single-pass removal efficiency varied with particle loading rate, with in-duct testing having lower removal efficiency than in-room testing.
• The 1000IL achieved effective air changes per hour of 7.5±0.3 h^-1 for PM_2.5, compared to 4.0±0.2 h^-1 and 6.5±0.3 h^-1 for the MERV13 and MERV14 filters, respectively.
• Pressure drop across the filter media was lowest for the 1000IL compared to the MERV13 and MERV14 filters, while electrical power consumption by the supply fan was lower for the MERV14 and 1000IL filters compared to the MERV13 filter.

This was a full-scale experimental study of active chilled beam (ACB) systems to evaluate how key operating parameters, particularly supply airflow rate and chilled water temperature, affect their cooling and energy performance. Using 54 test cases across six commercial ACB units, the study separated total cooling capacity into water-side and air-side contributions and showed that system performance is dominated by water-side cooling, while air-side cooling plays a secondary role. The results demonstrate how airflow, water temperature, and design features like nozzle size influence cooling capacity and efficiency, and the findings provide valuable data for improving system design, operation, and simulation models of ACB systems. Key findings include:

• Total cooling capacity is dominated by water-side cooling, which increases with higher airflow rates and lower water inlet temperatures.
• Air-side cooling capacity increases with higher airflow rates and higher water inlet temperatures but contributes less overall than water-side cooling.
• Increasing primary airflow enhances induction of room air through the coil, improving overall cooling performance.
• Smaller nozzle sizes improve water-side cooling efficiency by increasing induction and heat transfer effectiveness.

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The SMARTmobile was developed in collaboration with to provide an educational platform for students to learn about programming and operating smart building systems and components. Consisting of an active chilled beam, hot and chilled water loops, lighting system, and air quality sensors, students learn to connect various building systems to a backbone of ABB system controllers then use this connectivity to achieve building system controls that would not be otherwise possible, such as:

• Using occupancy sensor data from the lighting system to control the HVAC system to turn on only when a space is occupied.
• Using air quality data collected via an API to tell the HVAC system when to prioritize air quality over thermal comfort, such as during wildfire events.
• Use lighting sensor data to tell window shades to open or close to maintain a comfortable lighting environment.