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Performance of low-cost solar radiation logger

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 13 No. 4 (2023)

DOI
10.11591/ijece.v13i4.pp3885-3894
ISSN
2722-2578, 2088-8708
Published
2023-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

In solar power systems, irradiance value data are among the most important parameters. Such data can be used in installing photovoltaic (PV) modules, such as determining the exact location, tilt angle, and required area, for optimal power efficiency. In this study, the comprehensive simulation and implementation of a solar radiation meter with a PV cell and temperature sensor are presented. The irradiance measurement value is based on the power reading generated by the small capacity of the PV cell at a specific load converted into a digital value in the microcontroller using the implicit Newton polynomial interpolation (NPI) equation as a low-cost alternative method. The effect of temperature is included in the conversion to obtain precise measurement results. Firstly, the structure and characteristics of the PV cell are discussed. Secondly, the parameters, measuring method, and conversion of the measurement reading data using the NPI equation are presented to assess the results. Finally, the simulation of the solar radiation meter using the PSIM and implementation of the hardware are conducted to validate the concepts and compare their results. The proposed hardware has an average error of 2.72% in the implementation of the measurement test.

Collaboration network of the authors

40 authors · 131 co-authorship links · 84 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • National Research and Innovation Agency
  • National University of Malaysia
  • Indonesian Institute of Sciences
  • Universiti Sains Malaysia
  • Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Universitas Muhammadiyah Gorontalo
  • Universitas Islam Negeri Mataram
  • Other organisations
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Rudi DarussalamNational Research and Innovation Agency10
Kamaruzzaman SopianNational University of Malaysia5
Umar KhayamBandung Institute of Technology4
Maulana ArifinIndonesian Institute of Sciences4
Ersalina Werda MuktiIndonesian Institute of Sciences2
Sulistyo WijanarkoIndonesian Institute of Sciences2
Mariyam Fazleena MusthafaNational University of Malaysia2
Abrar RidwanUniversitas Muhammadiyah Riau2
Rado YendraUniversitas Islam Negeri Sultan Syarif Kasim Riau2
Ari Pani DesvinaUniversitas Islam Negeri Sultan Syarif Kasim Riau2
Nur Farhana Mohd RazaliNational University of Malaysia2
Mohd Hafidz RuslanNational University of Malaysia2
Majid Khan Majahar AliUniversiti Sains Malaysia2
Rahmadeni RahmadeniUniversitas Islam Negeri Sultan Syarif Kasim Riau1
Tri SuyonoKhairun University1
Hartono HartonoUniversitas Gadjah Mada1
Nurul Shahirah Binti RukmanNational University of Malaysia1
Ivan TaslimUniversitas Muhammadiyah Gorontalo1
Merita Ayu IndriantiUniversitas Muhammadiyah Gorontalo1
Intan Noviantari ManyoeState University of Gorontalo1
Saprizal HadisaputraUniversity of Mataram1
Muhammad ZohriUniversitas Islam Negeri Mataram1
Bahtiar BahtiarUniversitas Islam Negeri Mataram1
Jalal AssadegNational University of Malaysia1
Ferdinand Murni HamunduUniversitas Halu Oleo1
Alimuddin AlimuddinSultan Ageng Tirtayasa University1
Mukhtar MukhtarUniversiti Sains Malaysia1
Mohd Tahir IsmailUniversiti Sains Malaysia1
Naseem AkhtarUniversiti Sains Malaysia1
Pudji IrasariIndonesian Institute of Sciences1
Puji WidiyantoIndonesian Institute of Sciences1
Muhammad Fathul HikmawanNational Research and Innovation Agency1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Performance of low-cost solar radiation logger</dc:title><dc:creator>Risdiyanto, Agus</dc:creator><dc:creator>Kristi, Ant. Ardath</dc:creator><dc:creator>Junaedi, Agus</dc:creator><dc:creator>Susanto, Bambang</dc:creator><dc:creator>Rachman, Noviadi A.</dc:creator><dc:creator>Muqorobin, Anwar</dc:creator><dc:creator>Santosa, Harjono P.</dc:creator><dc:creator>Fudholi, Ahmad</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;p&amp;gt;In solar power systems, irradiance value data are among the most important parameters. Such data can be used in installing photovoltaic (PV) modules, such as determining the exact location, tilt angle, and required area, for optimal power efficiency. In this study, the comprehensive simulation and implementation of a solar radiation meter with a PV cell and temperature sensor are presented. The irradiance measurement value is based on the power reading generated by the small capacity of the PV cell at a specific load converted into a digital value in the microcontroller using the implicit Newton polynomial interpolation (NPI) equation as a low-cost alternative method. The effect of temperature is included in the conversion to obtain precise measurement results. Firstly, the structure and characteristics of the PV cell are discussed. Secondly, the parameters, measuring method, and conversion of the measurement reading data using the NPI equation are presented to assess the results. Finally, the simulation of the solar radiation meter using the PSIM and implementation of the hardware are conducted to validate the concepts and compare their results. The proposed hardware has an average error of 2.72% in the implementation of the measurement test.&amp;lt;/p&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2023-08-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v13i4.pp3885-3894</dc:identifier><dc:identifier>10.11591/ijece.v13i4.pp3885-3894</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 13 No 4 (2023); 3885</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/26238/16769</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>