Evaluation of single-phase net metering to meet renewable energy targets: A case study from Pakistan

Tahir, Muhammad Usman; Siraj, Kiran; Shah, Syed Faizan Ali; Arshad, Naveed

doi:10.1016/j.enpol.2022.113311

Cited by 5 publications

(1 citation statement)

References 34 publications

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“…Such as, the PV power capacity of 520 GW could reach up to 1.4 TW by 2024. Not in Bangladesh, globally PV panel have become more popular and usable to extract power from nature as a renewable power medium [10]- [13]. Some research also concluded that most of each renewable energy study had apprised the critical role of PV panels in this renewable sector [14].…”

Section: Introductionmentioning

confidence: 99%

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

Hassan,

Das,

Rhyme

et al. 2024

IJPEDS

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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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Section: Introductionmentioning

confidence: 99%