کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
263992 504087 2012 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Experimental validation of a theoretical model: Uncertainty propagation analysis to a PCM-air thermal energy storage unit
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Experimental validation of a theoretical model: Uncertainty propagation analysis to a PCM-air thermal energy storage unit
چکیده انگلیسی

This paper analyzes the uncertainties propagation of the theoretical model developed to simulate the thermal performance of PCM-air heat exchanger. Numerical results are compared with experimental results obtained with a full-scale heat exchanger prototype. In the model, the energy equation is considered in terms of enthalpy, as the governing equation can be applied at any stage, determining the temperature at each point and therefore assessing the value of the PCM thermophysical properties. Due to the uncertainties of the input variables, this analysis provides a band of uncertainty associated with the solution that is useful and more realistic when comparing the experimental and simulated results. In this sense, for most of the process, there has been observed a high degree of overlapping between the two different heat rate curves. For this type of heat exchangers, the uncertainty propagation analysis also quantifies the consequences that imply making the effort of improving the determination of a parameter or enhancing the measurement of a variable. In this study case, it is not worth to invest efforts in determining the average phase change temperature of a PCM with an uncertainty better than ±0.25 °C when the main response is the average heat rate.


► A methodology based on uncertainties analysis is used to validate a numerical model.
► Experimental and numerical data are compared including their own uncertainty bands.
► The bands comparison approach gives an idea of when to stop improving in the model.
► The consequences of improving a parameter/variable determination are quantified.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy and Buildings - Volume 45, February 2012, Pages 124–131
نویسندگان
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