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IoT-based smart net energy meter with advanced billing feature for residential buildings including solar PV system

International Journal of Power Electronics and Drive Systems · Vol. 15 No. 2 (2024) · hlm. 1254–1265

DOI
10.11591/ijpeds.v15.i2.pp1254-1265
ISSN
2722-256X, 2088-8694
Terbit
2024-06-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Electricity consumption is rising across all industries. Residential electricity use dominates the sector. Solar photovoltaic (PV) systems on residential roofs are increasing quickly, notably in Dhaka, Bangladesh. PV power generation is high at peak sun irradiance. Due to light loads, residential structures use less electricity. PV system surplus electricity may be transmitted to the national grid. Residential customers may sell power to the government, lowering their electricity expense. Traditional energy meters make it difficult to calculate PV system consumption by load and grid injection. This is possible with net metering. Thus, this study presents an internet of things (IoT)-based smart net energy meter for home users to provide surplus solar PV power and consume grid electricity when needed. With the government's new power tariff rate, the net bill will be calculated automatically. A dedicated mobile application is used to monitor all the activities. The billing statement will be generated automatically, and the payment of that bill will be payable using a redirect link with the same mobile application. The suggested smart net energy meter will inform SMS/mobile app users of gas, smoke, and tempering. The suggested meter's performance and efficacy were evaluated using software simulation and hardware analysis.

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  • American International University-Bangladesh
  • Chittagong University of Engineering & Technology
  • University of Mons
  • Universitas Airlangga
  • Swinburne University of Technology
  • Organisasi berbeda
  • Organisasi sama
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Rekan penulisOrganisasiArtikel bersama
Md. Abdur RahmanAmerican International University-Bangladesh3
Jannatul Mawa AkantoUniversity of Mons3
Md. Kamrul IslamUniversity of Mons3
S M Imrat RahmanAmerican International University-Bangladesh2
Sumaiya Umme HaniAmerican International University-Bangladesh2
Bishwajit Banik PathikAmerican International University-Bangladesh2
Asif MahfuzAmerican International University-Bangladesh2
Mohammad Khurshed AlamAmerican International University-Bangladesh2
Md Kamrul HassanAmerican International University-Bangladesh2
Saad MekhilefSwinburne University of Technology1
Lilik Jamilatul AwalinUniversitas Airlangga1
Aditta ChowdhuryChittagong University of Engineering & Technology1
Monirul Islam MiskatChittagong University of Engineering & Technology1
Tofael AhmedChittagong University of Engineering & Technology1
Shameem AhmadAmerican International University-Bangladesh1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijpeds.iaescore.com/index.php/IJPEDS/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">IoT-based smart net energy meter with advanced billing feature for residential buildings including solar PV system</dc:title>
	<dc:creator>Hassan, Tonmoy</dc:creator>
	<dc:creator>Das, Debraj</dc:creator>
	<dc:creator>Rhyme, Shahir Islam</dc:creator>
	<dc:creator>Bal, Supratik</dc:creator>
	<dc:creator>Hazari, Md. Rifat</dc:creator>
	<dc:creator>Jahan, Effat</dc:creator>
	<dc:creator>Hossain, Chowdhury Akram</dc:creator>
	<dc:creator>Mannan, Mohammad Abdul</dc:creator>
	<dc:subject xml:lang="en-US">advanced metering infrastructure; grid; internet of things; microcontroller; net-meter; solar PV</dc:subject>
	<dc:description xml:lang="en-US">Electricity consumption is rising across all industries. Residential electricity use dominates the sector. Solar photovoltaic (PV) systems on residential roofs are increasing quickly, notably in Dhaka, Bangladesh. PV power generation is high at peak sun irradiance. Due to light loads, residential structures use less electricity. PV system surplus electricity may be transmitted to the national grid. Residential customers may sell power to the government, lowering their electricity expense. Traditional energy meters make it difficult to calculate PV system consumption by load and grid injection. This is possible with net metering. Thus, this study presents an internet of things (IoT)-based smart net energy meter for home users to provide surplus solar PV power and consume grid electricity when needed. With the government's new power tariff rate, the net bill will be calculated automatically. A dedicated mobile application is used to monitor all the activities. The billing statement will be generated automatically, and the payment of that bill will be payable using a redirect link with the same mobile application. The suggested smart net energy meter will inform SMS/mobile app users of gas, smoke, and tempering. The suggested meter's performance and efficacy were evaluated using software simulation and hardware analysis.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2024-06-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/22998</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v15.i2.pp1254-1265</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 15, No 2: June 2024; 1254-1265</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v15.i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/22998/14582</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Tonmoy Hassan, Debraj Das, Shahir Islam Rhyme, Supratik Bal, Md. Rifat Hazari, Effat Jahan, Chowdhury Akram Hossain, Mohammad Abdul Mannan</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>