Authors:

Nathaniel Siegler

Date Created:

Not specified

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About Paper:

Steam heating systems remain widely used in older buildings, especially in colder regions, relying on steam traps to regulate steam and condensate flow [1]. Monitoring these traps is often limited because existing diagnostic methods require specialized equipment and trained personnel [1]. This project tests the hypothesis that a compact, 3D-printed containment unit housing a thermoelectric sensor (converts heat to electrical signals) and Wi-Fi can provide low-cost, automated monitoring of steam traps. Field testing was conducted using separate piezoelectric devices (vibration sensors) attached to trap lines with glass-fiber reinforced PA6-GF, left operational for days to months. Thermal imaging cameras measured ambient heat and pipe temperatures, revealing high baseline conditions in older basements and critical high-pressure lines operating between 216 °F and 280 °F [2]. Data on heat usage and trap performance were collected via Grafana dashboards and analyzed to detect operational patterns. The system successfully identified the two main failure modes: traps failing to open, causing pressure buildup and water hammer, and traps failing to close, resulting in continuous steam loss and cavitation [2]. The containment unit is small, durable, and adaptable to various trap configurations, enabling broad deployment. Testing shows that the STM can accurately detect both failure modes while maintaining low energy consumption. By integrating a compact, versatile containment unit with automated monitoring, the STM supports energy conservation, reduces operational inefficiencies, and enhances the reliability of steam heating infrastructure in residential, institutional, and industrial buildings. This scalable approach provides a practical solution for improving energy management and maintenance practices in aging steam systems [1][2].

Source:

Illinois Institute of Technology

Topics:

No topics listed

Co-authors:

Nathaniel Siegler