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A study on reliability of mathematical model with monitoring system of solar rooftop system


Article Information

Title: A study on reliability of mathematical model with monitoring system of solar rooftop system

Authors: Wutthisat Chokkuea, Sattra Sirikaew, Yada Rorsungern, Nilawan Seenamnong

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2022

Volume: 17

Issue: 14

Language: English

Categories

Abstract

This research represented the study on reliability of mathematical model with monitoring system of solar rooftop system, case study of a plastic manufacturer in Samut Sakhon Province. The analytical areas were divided into 4 cases including: southern direction of solar radiation with roof’s till angle of 5° (S1); southern direction of solar radiation with roof’s tilt angle of 20° (S2); northern direction of solar radiation with roof’s till angle of 5° (N1); and northern direction of solar radiation with roof’s till angle of 20° (N2). Historical data on average monthly capacity of rooftop solar of 2018 was collected via monitoring system every 15 minutes for comparing to data on mathematical model. Data on research areas, direction of installation, roof’s tilt angle via Google Earth Program, solar irradiance from Solar Radiation Station, Faculty of Engineering, Mahasarakham University, ambient temperature from weather station of Meteorology Station, Bangkok (Bang Khen Weather Section) of 2018, were used for analyzing on capacity before comparing to reliability of data. The results were presented in the form of root mean square difference (RMSD), mean bias difference (MBD), and coefficient of determination (R2). The results revealed that the best reliability, RMSD, MBD, and R2, are 60.82%, 51.49%, and 0.738 for S1, respectively, 41.87%, 35.94%, and 0.903 for S2, respectively, 44.26%, 38.77%, and 0.898 for N1, respectively, and 37.53%, 30.90%, and 0.897 for N2, respectively, while such values of the combined data are 46.39%, 38.93%, and 0.849, respectively. As a result, correlation of assessment on reliability of data tended to be value obtained from the mathematical model compared to value obtained from monitoring system.


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