
Worked on the lsst-ts/ts_config_ocs repository to deliver three new features focused on HVAC system configuration and optimization. Developed consolidated control improvements using YAML, including updated temperature setpoints, AHU delta tuning, and scenario-driven configurations to enhance system stability and energy efficiency. Introduced fan throttling capabilities to improve temperature responsiveness under varying loads and added noglycolpump configuration to optimize operational performance. Addressed stability concerns by adjusting AHU offsets and implementing an open delay parameter, reducing oscillations and manual interventions. Leveraged skills in HVAC systems, configuration management, and environmental control to enable more reliable, scalable, and maintainable temperature control solutions.
In 2025-12, delivered critical HVAC configuration and performance improvements in lsst-ts/ts_config_ocs, focusing on stability, energy efficiency, and configurability. Key changes include consolidated HVAC configuration and tuning with updated setpoints, AHU delta tuning, and TMA after_open_delay; introduction of fan throttling to improve temperature responsiveness; and Noglycolpump configuration to optimize operation. Addressed stability-related bugs by adjusting AHU offset and adding an open delay parameter to prevent oscillations, resulting in more reliable operation and reduced manual interventions. These changes enable scalable, scenario-driven control configurations with measurable business value.
In 2025-12, delivered critical HVAC configuration and performance improvements in lsst-ts/ts_config_ocs, focusing on stability, energy efficiency, and configurability. Key changes include consolidated HVAC configuration and tuning with updated setpoints, AHU delta tuning, and TMA after_open_delay; introduction of fan throttling to improve temperature responsiveness; and Noglycolpump configuration to optimize operation. Addressed stability-related bugs by adjusting AHU offset and adding an open delay parameter to prevent oscillations, resulting in more reliable operation and reduced manual interventions. These changes enable scalable, scenario-driven control configurations with measurable business value.

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