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Uncertainty quantification approach for dynamic load-based testing.

Number: 2596

Author(s) : DHILLON P., KIM D., HORTON W. T., BRAUN J. E.

Summary

Dynamic load-based testing methodologies allow for the evaluation of air conditioner and heat pump performance in a laboratory setting, taking into account realistic operating conditions. In order to improve the load-based testing methodology's repeatability and reproducibility, it is important to understand the effect of sensor accuracy and dynamic response on load-based test results. This paper presents a systematic approach to quantify the uncertainty in dynamic load-based test results for residential air conditioners and heat pumps. The proposed uncertainty quantification approach employs statistical techniques to consider both systematic and random uncertainties. It builds upon existing uncertainty quantification methods that were primarily developed for steady-state tests and are not applicable to dynamic tests. Furthermore, this paper presents a method to assess the impact of sensor dynamics on load-based test results using a simulation-based approach. For demonstration and quantifiable results, the proposed methodology is employed to estimate the uncertainty in load-based test results of a variable-speed heat pump for both cooling and heating modes, as well as the overall uncertainty in seasonal performance. The results suggest that the measurement uncertainty in seasonal performance is reasonable when using sensors that meet the required accuracy according to current standards. However, there are still aspects that could be improved. In addition, the impact of sensor dynamics on overall performance is insignificant compared to measurement uncertainty and the results suggest that accurate sensors with reasonable time response should not introduce significant variability in dynamic test results. This work contributes to improving load-based testing methodologies by offering a comprehensive framework for quantifying uncertainty and assessing sensor dynamics.

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Pages: 13 p.

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  • Original title: Uncertainty quantification approach for dynamic load-based testing.
  • Record ID : 30033013
  • Languages: English
  • Subject: Technology
  • Source: 2024 Purdue Conferences. 20th International Refrigeration and Air-Conditioning Conference at Purdue.
  • Publication date: 2024/07/17

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