Effect of peak sun hour on energy productivity of solar photovoltaic power system

Megantoro, Prisma; Syahbani, Muhammad Akbar; Sukmawan, Irfan Helmi; Perkasa, Sigit Dani; Vigneshwaran, P.

doi:10.11591/eei.v11i5.3962

Cited by 8 publications

(4 citation statements)

References 23 publications

(25 reference statements)

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“…The best solar energy conversion takes place during insolation at an average maximum irradiation time, or PSH. PSH is a parameter that expresses the relationship between the maximum daily sun radiation exposure and the standard solar radiation intensity of 1 kW/m 2 (Megantoro et al, 2022). The University of Oregon's Solar Radiation Monitoring Laboratory's web resources were used to obtain the PSH of Thabang and Sugarkhal and found PSH for SSMG is 5.73 and TSMG is 5.49.…”

Section: Sun Pathmentioning

confidence: 99%

Performance evaluation of solar PV mini grid system in Nepal: a case study Thabang and Sugarkhal

Karna,

Jha,

Yadav

et al. 2024

Front. Energy Res.

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This article investigates the performance metrics of two solar mini-grid systems, Thabang Solar Mini-Grid (TSMG) and Sugarkhal Solar Mini-Grid (SSMG), based on secondary live data, collected from Renewable Energy for Rural Livelihood (RERL) and PVsyst software 7.4 spanning the years 2021–2023. Notably, the highest irradiance levels were recorded in April for both TSMG and SSMG. TSMG exhibited an energy generation of 83.206 MWh/year in 2021 and 112.140 MWh/year in 2022, with a peak sun hour (PSH) of 5.5 h. Conversely, SSMG energy generated 64.14 MWh/year in 2021 and 68.79 MWh/year in 2022, with a PSH of 5.7 h. The capture loss of SSGM recorded 0.239 kWh/day to 3.322 kWh/day in 2021 and 0.082 kWh/day to 2.086 kWh/day in 2022. Also, the capture loss of TSGM recorded 1.573 kWh/day to 5.011 kWh/day in 2021 and 0.470 kWh/day to 4.261 kWh/day in 2023. The efficiency of SSMG is consistently higher efficiency compared to TSMG. The capture factor of SSMG increased from 9.76% in 2021 to 10.47% in 2022, while of TSMG 6.33% in 2021 to 8.53% in 2023. The findings provide valuable insights into the comparative performance of these solar mini-grid systems, contributing to the optimization and improvement of solar energy generation in diverse environmental conditions.

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Section: Sun Pathmentioning

confidence: 99%

Performance evaluation of solar PV mini grid system in Nepal: a case study Thabang and Sugarkhal

Karna,

Jha,

Yadav

et al. 2024

Front. Energy Res.

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“…While it is important for the penetration rate of renewable energy such as solar energy to be increased, optimising the electricity consumption is also a necessity to preserve energy sustainability [10]. A recent study highlighted the importance of orientation of solar panel installation to maximise solar energy harvesting [11]. Various methods were proposed to reduce the energy consumption [12]- [13].…”

Section: Introductionmentioning

confidence: 99%

Smart power switch using internet of things

Abougamea

Lim²

2023

IJEECS

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The increase in electricity consumption coupled with the lack of a convenient way to assist the consumers to lower their electricity consumption is a growing concern. Smart internet of things (IoT)-based devices has been developed in this regard. However, no specific standards were followed, and this is a problem for the consumer as they have to own different smart device from different brands which results in higher cost. To solve these issues, a smart power switch using IoT is proposed. The system consists of microcontroller (ESP32), relay and current sensor (ACS712). The ACS712 measures the current of the appliance. The ESP32 then send these readings to server. Whenever the ESP32 receives switching commands from the cloud platform, ESP32 will activate the relay and hence switching the appliance. The cloud platform is linux based virtual private server (VPS) running on Django Python and structured query language (SQL) ite database. The mobile application built using flutter to allow both iOS and android users to use the app to control and monitor the normal appliances. The server, circuit and mobile application have showed a real-time data exchange, fast response, numerical, graphical consumption presentation and capable of setting energy or power limit for the appliance to not exceed.

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“…The research shows an 11% decrease in electricity generation after one week of exposure to dust [5]- [7]. In addition, when dust and dirt have hardened and burned, it will cause permanent damage to the surface of the solar cell [8], [9]. Thus, periodic maintenance is necessary to maintain the efficiency of the panel's performance to remain optimal in absorbing energy.…”

Section: Introductionmentioning

confidence: 99%

Autonomous and smart cleaning mobile robot system to improve the maintenance efficiency of solar photovoltaic array

Megantoro,

Abror,

Syahbani

et al. 2023

Bulletin EEI

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A solar photovoltaic (PV) array is part of a PV power plant as a generation unit. PV array that are usually placed on top of buildings or the ground will be very susceptible to dirt and dust. Thus, this dirt and dust will be able to reduce the performance and work efficiency of the generation unit. Cleaning PV arrays by manpower requires high effort, cost, and risk, especially in higher location. This study presents the design of a mobile robot that is used to replace human labor to clean PV arrays. That way, the PV array maintenance steps can reduce operational costs and risks. This intelligent controlled mobile robot can maneuver safely and efficiently over PV arrays. gyroscope and proximity sensors are used to detect and follow the sweep path over the entire PV array area. Proportional integral derivative (PID) control test makes the robot can stabilize in about 5.72 seconds to keep on the track. The smart PV cleaning robot has average operation time about 13 minutes in autonomous mode and 20-24 minutes in manual mode. The operation of the robot is effective to give more efficiency on the use of energy, time, and maintenance costs of PV array system.

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Effect of peak sun hour on energy productivity of solar photovoltaic power system

Cited by 8 publications

References 23 publications

Performance evaluation of solar PV mini grid system in Nepal: a case study Thabang and Sugarkhal

Performance evaluation of solar PV mini grid system in Nepal: a case study Thabang and Sugarkhal

Smart power switch using internet of things

Autonomous and smart cleaning mobile robot system to improve the maintenance efficiency of solar photovoltaic array

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