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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 · 151 co-authorship links · 91 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
  • Indonesian Institute of Sciences
  • National University of Malaysia
  • University of Indonesia
  • Universitas Muhammadiyah Gorontalo
  • Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Universitas Islam Negeri Mataram
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Kamaruzzaman SopianNational University of Malaysia19
Rudi DarussalamNational Research and Innovation Agency10
Sulistyo WijanarkoIndonesian Institute of Sciences7
Muhammad KasimNational Research and Innovation Agency7
Ivan TaslimUniversitas Muhammadiyah Gorontalo6
Muhammad ZohriUniversitas Islam Negeri Mataram6
Dalmasius Ganjar SubagioNational Research and Innovation Agency6
Udin KomarudinUniversitas Widyatama6
Abrar RidwanUniversitas Muhammadiyah Riau4
Rado YendraUniversitas Islam Negeri Sultan Syarif Kasim Riau4
Pudji IrasariIndonesian Institute of Sciences4
Puji WidiyantoIndonesian Institute of Sciences4
Umar KhayamBandung Institute of Technology4
Maulana ArifinIndonesian Institute of Sciences4
Mohd Hafidz RuslanNational University of Malaysia3
Merita Ayu IndriantiUniversitas Muhammadiyah Gorontalo3
Intan Noviantari ManyoeState University of Gorontalo3
Saprizal HadisaputraUniversity of Mataram3
Ridwan Arief SubektiUniversity of Indonesia3
Ersalina Werda MuktiIndonesian Institute of Sciences2
Mariyam Fazleena MusthafaNational University of Malaysia2
Ari Pani DesvinaUniversitas Islam Negeri Sultan Syarif Kasim Riau2
Tri SuyonoKhairun University2
Nur Farhana Mohd RazaliNational University of Malaysia2
Majid Khan Majahar AliUniversiti Sains Malaysia2
Nurul Shahirah Binti RukmanNational University of Malaysia2
Sastra Kusuma WijayaUniversity of Indonesia2
Arief SudarmajiUniversity of Indonesia2
Tinton Dwi AtmajaNational Research and Innovation Agency2
Budi PrawaraNational Research and Innovation Agency2
Anjar SusatyoNational Research and Innovation Agency2
Fitrotun AliyahAffiliation unknown2

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 Oct 2026, last seen 8 Nov 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>