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Internet of things-based photovoltaics parameter monitoring system using NodeMCU ESP8266

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 11 No. 6 (2021)

DOI
10.11591/ijece.v11i6.pp5578-5587
ISSN
2722-2578, 2088-8708
Published
2021-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical feature for remote monitoring, supervising, and performance evaluation. Furthermore, it improves the long-term viability, consistency, efficiency, and system maintenance of energy production. However, previous researchers' proposed PV monitoring systems are relatively complex and expensive. Furthermore, the existing systems do not have any backup data, which means that the acquired data could be lost if the network connection fails. This paper presents a simple and low-cost IoT-based PV parameter monitoring system, with additional backup data stored on a microSD card. A NodeMCU ESP8266 development board is chosen as the main controller because it is a system-on-chip (SOC) microcontroller with integrated Wi-Fi and low-power support, all in one chip to reduce the cost of the proposed system. The solar irradiance, ambient temperature, PV output voltage and PV output current, are measured with photo-diodes, DHT22, impedance dividers and ACS712. While, the PV output power is a product of the PV voltage and PV current. ThingSpeak, an open-source software, is used as a cloud database and data monitoring tool in the form of interactive graphics. The results showed that the system was designed to be highly accurate, reliable, simple to use, and low-cost.

Collaboration network of the authors

40 authors · 91 co-authorship links · 39 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.

  • Universitas Ahmad Dahlan
  • Universiti Teknikal Malaysia Melaka
  • University of Technology Malaysia
  • Islamic Azad University, Tehran
  • Ajou University
  • Sultan Agung Islamic University
  • Tun Hussein Onn University of Malaysia
  • 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
Mustafa ManapUniversiti Teknikal Malaysia Melaka14
Abdul Rahim AbdullahUniversiti Teknikal Malaysia Melaka12
Nik Rumzi Nik IdrisUniversity of Technology Malaysia9
Mohammad JannatiUniversity of Technology Malaysia9
M. Rahimi YusoffUniversiti Teknikal Malaysia Melaka8
Mohd Junaidi Abdul AzizUniversity of Technology Malaysia7
Awang JusohUniversity of Technology Malaysia7
Anton YudhanaUniversitas Ahmad Dahlan4
Muhammad AdoUniversity of Technology Malaysia4
A.S. HussinUniversiti Teknikal Malaysia Melaka4
Mohd Ruddin Ab GhaniUniversiti Teknikal Malaysia Melaka4
Lina HandayaniUniversitas Ahmad Dahlan3
Imam Much Ibnu SubrotoSultan Agung Islamic University3
Shahreen binti KasimTun Hussein Onn University of Malaysia3
Mahmoud ZadehbagheriIslamic Azad University, Tehran3
Mohammad Javad KianiIslamic Azad University, Tehran3
Vahdat NazerianUniversity of Mazandaran3
HermanUniversitas Ahmad Dahlan2
Muhammad Kunta BiddinikaUniversitas Ahmad Dahlan2
Rusydi UmarUniversitas Ahmad Dahlan2
Sunardi SunardiUniversitas Ahmad Dahlan2
Auzani JidinUniversiti Teknikal Malaysia Melaka2
M. GhanbariAffiliation unknown2
Munawar Agus RiyadiDiponegoro University2
Deris StiawanSriwijaya University2
M. Najafi KhoshrodiAffiliation unknown2
Mehdi DadkhahIslamic Azad University, Tehran2
Shahaboddin ShamshirbandUniversity of Malaya2
Ahmad Saudi SamosirLampung University2
Ali AjamiAffiliation unknown2
Chibuike Peter OhanuUniversity of Nigeria2
Dianda RifaldiUniversitas Ahmad Dahlan1
Muhajir YunusUniversitas Ahmad Dahlan1
Wahid Alfaridsi Achmad ZeinAffiliation 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 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>Internet of things-based photovoltaics parameter monitoring system using NodeMCU ESP8266</dc:title><dc:creator>Sutikno, Tole</dc:creator><dc:creator>Satrian Purnama, Hendril</dc:creator><dc:creator>Pamungkas, Anggit</dc:creator><dc:creator>Fadlil, Abdul</dc:creator><dc:creator>Mohd Alsofyani, Ibrahim</dc:creator><dc:creator>Jopri, Mohd Hatta</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span&amp;gt;The use of the internet of things (IoT) in solar photovoltaic (PV) systems is a critical feature for remote monitoring, supervising, and performance evaluation. Furthermore, it improves the long-term viability, consistency, efficiency, and system maintenance of energy production. However, previous researchers' proposed PV monitoring systems are relatively complex and expensive. Furthermore, the existing systems do not have any backup data, which means that the acquired data could be lost if the network connection fails. This paper presents a simple and low-cost IoT-based PV parameter monitoring system, with additional backup data stored on a microSD card. A NodeMCU ESP8266 development board is chosen as the main controller because it is a system-on-chip (SOC) microcontroller with integrated Wi-Fi and low-power support, all in one chip to reduce the cost of the proposed system. The solar irradiance, ambient temperature, PV output voltage and PV output current, are measured with photo-diodes, DHT22, impedance dividers and ACS712. While, the PV output power is a product of the PV voltage and PV current. ThingSpeak, an open-source software, is used as a cloud database and data monitoring tool in the form of interactive graphics. The results showed that the system was designed to be highly accurate, reliable, simple to use, and low-cost.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2021-12-01</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.v11i6.pp5578-5587</dc:identifier><dc:identifier>10.11591/ijece.v11i6.pp5578-5587</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 11 No 6 (2021); 5578</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/22944/15277</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>