Rancang Bangun Solar Power Meter berbasis Arduino Uno dengan Data Logger untuk Pengukuran Insolasi dan Iradiasi Sinar Matahari

Abstract

In  planning  the  installation  of  solar  panels  at  a  location,  it  is  necessary  to  have  solar irradiance data at that location.  Solar  irradiance  data  is  obtained  through  direct measurements using a solar irradiance meter. Solar irradiance measuring  instruments  usually  use  one  of  three  types  of sensors,  including  thermopile  (pyranometer),  solar  cells,  or photodiodes.  Each  has  advantages  and  disadvantages.  The advantages of solar cell sensors are that they have a faster response to sunlight, are more in line with the production of energy produced by solar panels and have a more economical price compared to other sensors. Solar irradiance is directly proportional to the short-circuit current of the solar cell. The aim of this research is to design an Arduino Uno-based device to measure the insolation and irradiance of sunlight, equipped with a data logger to support data analysis. The solar power meter is designed using a solar cell reference with a short circuit current of 455 mA. The microcontroller board used is Arduino UNO ATmega328 while the current sensor used is WCS2801 with a sensitivity of 2mA/mV. Irradiation, current  and  insolation  data  are  recorded  and  stored  every minute using a datalogger to SD card with a capacity of 16 GB. the  average  of  %  error  when  testing  the  comparison  of readings with photodiode-based solar power meter is 1.747%. The highest point of sun insolation is 5.56.kWh/m² during three-day period of data logging and it is achieved when solar cell is positioned horizontally on the terrace. 

Keywords

Irradiance, Insolation, Arduino, Data Logger.

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References

Hasibuan, A., & Pramana, R. (2013). Perancangan Sistem Monitoring Intensitas Radiasi Matahari (Final Project). Fakultas Teknik Universitas Maritim Raja Ali Haji, Riau.

Zhu, H., & Blackborow, P. (2018). Understanding Radiance (Brightness), Irradiance and Radiant Flux. Energetiq. Retrieved September 22, 2021, from https://www.energetiq.com/technote-understanding-radiance-brightness-irradiance-radiant-flux

Tan, R. H., Tai, P. L., & Mok, V. H. (2013, November). Solar irradiance estimation based on photovoltaic module short circuit current measurement. In 2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA) (pp. 1-4). IEEE.

Adi, A. S. (2016). Analisa Performansi Pembangkit Listrik Tenaga Surya Melalui Rancang Bangun Serta Pengukuran dengan Sensor Solar Irradiance dan Temperatur (Final Project). Fakultas Teknologi Industri Institut Teknologi Sepuluh Nopember, Surabaya.

Suryawinata, H., Purwanti, D., & Sunardiyo, S. (2017). Sistem monitoring pada panel surya menggunakan data logger berbasis ATMega 328 dan Real Time Clock DS1307. Jurnal Teknik Elektro, 9(1), 30-36.

Pauzan, M. (2020). Bahasa Pemrograman Arduino (1^st ed.). K-Media.

Ibrahim, H., & Anani, N. (2017). Variations of PV module parameters with irradiance and temperature. Energy Procedia, 134, 276-285.

Dewi, S. D. T., Panatarani, C., & Joni, I. M. (2016, February). Design and development of DC high current sensor using Hall-Effect method. In AIP Conference Proceedings (Vol. 1712, No. 1, p. 030006). AIP Publishing LLC.

Suryono, A. R., & Suseno, J. E. (2009). Karakterisasi Sensor Magnetik Efek Hall UGN3503 Terhadap Sumber Magnet dan Implementasinya pada Pengukuran Massa. Berkala Fisika, 12(1).

Palo-Tejada, E., Campos-Falcon, V., Merma, M., & Huanca, E. (2020). Low-cost data logging device to measure irradiance based on a Peltier cell and artificial neural networks. In Journal of Physics: Conference Series (Vol. 1433, No. 1, p. 012008). IOP Publishing.

Atika, Z., Leow, W. Z., Iszaidy, I., Irwan, Y. M., Safwati, I., Irwanto, M., ... & Saw, S. X. (2021, July). Development A Portable Solar Energy Measurement System. In Journal of Physics: Conference Series (Vol. 1962, No. 1, p. 012049). IOP Publishing.

Danandeh, M. A. (2018). Solar irradiance estimation models and optimum tilt angle approaches: A comparative study. Renewable and Sustainable Energy Reviews, 92, 319-330.

http://dx.doi.org/10.28989/avitec.v4i1.1192

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