Evaluation of models for the dew point temperature determination

• Autorzy: Górnicki K. , Winiczenko R. , Kaleta A. , Choińska A.
• Języki publikacji: EN

Abstrakty

EN

The accuracy of the available from the literature models for the dew point temperature determination was compared. The proposal of the modelling using artificial neural networks was also given. The experimental data were taken from the psychrometric tables. The accuracies of the models were measured using the mean bias error MBE, root mean square error RMSE, correlation coefficient R, and reduced chi-square χ² . Model M3, especially with constants A=237, B=7.5, gave the best results in determining the dew point temperature (MBE: -0.0229 – 0.0038 K, RMSE: 0.1259 – 0.1286 K, R=0.9999, χ² : 0.0159 – 0.0166 K² ). Model M1 with constants A=243.5, B=17.67 and A=243.3, B=17.269 can be also considered as appropriate (MBE=-0.0062 and -0.0078 K, RMSE=0.1277 and 0.1261 K, R=0.9999, χ² =0.0163 and 0.0159 K² ). Proposed ANN model gave the good results in determining the dew point temperature (MBE=-0.0038 K, RMSE=0.1373 K, R=0.9999, χ² =0.0189 K² ).

Słowa kluczowe

EN

dew point temperature; relative humidity; model; artificial neural networks

• Wydawca: Wydawnictwo Uniwersytetu Warmińsko-Mazurskiego w Olsztynie
• Czasopismo: Technical Sciences / University of Warmia and Mazury in Olsztyn
• Rocznik: 2017
• Tom: nr 20(3)
• Strony: 241–--257
• Opis fizyczny: Bibliogr. 52 poz., rys., tab., wykr.

Twórcy

autor

Górnicki K.

• Katedra Podstaw Inżynierii, Wydział Inżynierii Produkcji, Szkoła Główna Gospodarstwa Wiejskiego, ul. Nowoursynowska 164, 02-787 Warszawa

autor

Winiczenko R.

• Faculty of Production Engineering, Warsaw University of Life Sciences

autor

Kaleta A.

• Faculty of Production Engineering, Warsaw University of Life Sciences

autor

Choińska A.

• Faculty of Production Engineering, Warsaw University of Life Sciences

Bibliografia

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Uwagi

Opracowanie w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).