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Sensitivity of solar panel energy conversion at sunrise and sunset on three weather fluctuations in equatorial climate

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 13 No. 3 (2023)

DOI
10.11591/ijece.v13i3.pp2449-2458
ISSN
2722-2578, 2088-8708
Published
2023-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The high sunlight intensity in tropical and equatorial regions makes the potential for installing photovoltaic (PV) panels. However, the initial design of PV installations must be analyzed. Their implementation is carried out in buildings with load power for household electricity scale. For this reason, the panel reliability system could be efficient by designing the initial PV requirements using systematic measurements. Collecting data on fluctuating sunlight intensity (unpredictable weather) conditions needs the use of manual measuring tools, namely digital light meters and PV data with sensor integration. The research sample consists of three fluctuating hot weather conditions, namely hot-sunny, hot-cloudy and hot-rainy conditions. These weather conditions were taken because the climate of West Sumatra tends to shift clouds which sometimes cover the sun's rays. The peak PV output for direct current (DC) power generated during hot- sunny conditions reaches 1827.17 W, in sunny-cloudy weather it reaches around 1626.85 W and during sunny-rainy weather conditions the resulting output is 1161.81 W. From daily measurements, the results show that the efficiency of the PV system is strongly influenced by the prevailing weather climate.

Collaboration network of the authors

40 authors · 69 co-authorship links · 11 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.

  • Medan Area University
  • Universitas Sumatera Utara
  • Andalas University
  • Diponegoro University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Moranain MungkinMedan Area University4
Dina MaizanaMedan Area University4
Indri DayanaMedan Area University2
Dadan RamdanMedan Area University2
Muhammad Fadlan SiregarMedan Area University2
Al KhowarizmiAffiliation unknown1
Mahyuddin K. M. NasutionUniversitas Sumatera Utara1
Marischa ElvenyUniversitas Sumatera Utara1
Sulistyo Agung Dwi KurniawanAffiliation unknown1
Kamsidjo Budi UtomoAffiliation unknown1
Imam Fauzi Ath ThaariqAffiliation unknown1
Lusi Ngestina PutriAffiliation unknown1
Anggi Verresya DwiAffiliation unknown1
Apri YuliyanaAffiliation unknown1
Triyanto TriyantoAffiliation unknown1
Dewi Barata Siswa LelanaAffiliation unknown1
Novita Tri LestariAffiliation unknown1
Onang MurtiyosoAffiliation unknown1
Restu Angening PawekasAffiliation unknown1
Eko SugiartoAffiliation unknown1
Qoimatun NajahAffiliation unknown1
Rivaldi AditiantoAffiliation unknown1
Widodo KurniantoAffiliation unknown1
Alfi Sholehah Dwi MeyraniAffiliation unknown1
Rina Aenun RohmadiatiAffiliation unknown1
Dewi SetianingrumAffiliation unknown1
Muhammad KarimunAffiliation unknown1
Cermat Gentur PambukoAffiliation unknown1
Lisna Zaida HusnyAffiliation unknown1
Mohammad Nova PurnamaAffiliation unknown1
Dwi Ayu WulandariAffiliation unknown1
Anggun Mega Yuli YanaAffiliation unknown1
Annis Laela FardaniAffiliation unknown1
Purwanto PurwantoDiponegoro University1
Dita SetyawanAffiliation unknown1
Julia PermatasariAffiliation unknown1

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 1 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>Sensitivity of solar panel energy conversion at sunrise and sunset on three weather fluctuations in equatorial climate</dc:title><dc:creator>Satria, Habib</dc:creator><dc:creator>Syah, Rahmad</dc:creator><dc:creator>Silviana, Nukhe Andri</dc:creator><dc:creator>Syafii, Syafii</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span lang="EN-US"&amp;gt;The high sunlight intensity in tropical and equatorial regions makes the potential for installing photovoltaic (PV) panels. However, the initial design of PV installations must be analyzed. Their implementation is carried out in buildings with load power for household electricity scale. For this reason, the panel reliability system could be efficient by designing the initial PV requirements using systematic measurements. Collecting data on fluctuating sunlight intensity (unpredictable weather) conditions needs the use of manual measuring tools, namely digital light meters and PV data with sensor integration. The research sample consists of three fluctuating hot weather conditions, namely hot-sunny, hot-cloudy and hot-rainy conditions. These weather conditions were taken because the climate of West Sumatra tends to shift clouds which sometimes cover the sun's rays. The peak PV output for direct current (DC) power generated during hot- sunny conditions reaches 1827.17 W, in sunny-cloudy weather it reaches around 1626.85 W and during sunny-rainy weather conditions the resulting output is 1161.81 W. From daily measurements, the results show that the efficiency of the PV system is strongly influenced by the prevailing weather climate.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2023-06-01</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.v13i3.pp2449-2458</dc:identifier><dc:identifier>10.11591/ijece.v13i3.pp2449-2458</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 13 No 3 (2023); 2449</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/29271/16597</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>