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Published on: December 12, 2013
Long-Range Wireless System for U-Value Assessment Using a Low-Cost Heat Flux Sensor.
Marc Lazaro1, Antonio Lazaro1, Benito González2
1Department of Electronics, Electrics and Automatic Control Engineering, Rovira i Virgili University, 43007 Tarragona, Spain.
This study introduces a low-cost, 3D-printed system for measuring heat flux and determining the U-value of building envelopes. It simplifies thermal isolation evaluations by enabling simultaneous, efficient heat transfer assessment.
Area of Science:
- Building Science
- Thermal Engineering
- Materials Science
Background:
- Traditional heat transfer assessment in buildings is costly and time-consuming.
- Existing systems often rely on extensive wiring and external data processing units.
- Accurate U-value determination is crucial for energy efficiency in buildings.
Purpose of the Study:
- To develop an economical and user-friendly system for assessing heat transfer in building envelopes.
- To enable simultaneous heat flux measurement for faster thermal isolation evaluations.
- To reduce the cost and complexity of evaluating thermal performance in large structures.
Main Methods:
- A multi-point system for simultaneous heat flux measurement was designed and implemented.
- A low-cost, 3D-printed heat flux sensor was developed.
- The sensor was integrated with a LoRa transceiver and two temperature sensors for data acquisition.
- The novel heat flux sensor was calibrated against a commercial Fluxteq sensor.
Main Results:
- The proposed system offers an economical and easy-to-use solution for U-value assessment.
- Simultaneous heat flux measurement significantly reduces evaluation time.
- The 3D-printed sensor demonstrated reliable performance after calibration.
Conclusions:
- The developed system provides an efficient and cost-effective method for evaluating building envelope thermal performance.
- This technology can streamline thermal isolation assessments in large buildings.
- The integration of 3D printing and wireless technology offers a promising approach for building diagnostics.
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