Characteristics Surface Temperature of Solar Cell Polycrystalline Type to Output Power

Pujotomo, Isworo; Diantari, Retno Aita

doi:10.1051/e3sconf/20187301008

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…As monocrystalline panels are made from single crystal of silicon whereas polycrystalline panels form by using many silicon fragments melted together, the purity of polycrystalline solar panel is not as high as monocrystalline panel. Therefore, power generation capacity of monocrystalline is higher than polycrystalline (Pujotomo and Diantari, 2019).…”

Section: Resultsmentioning

confidence: 99%

Assessment of energy and emissions saving impact of solar PV modules: a case study of Bangladesh

Imu

Ezeamama

Matemilola

2021

IJBPA

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PurposeDecentralized solar systems are increasingly being used as alternative source of off-grid electrification in Bangladesh. They offer solutions to provide (clean) electricity to the low-income households that are not currently served by the national grid. The standards of solar systems need to be improved to maximize the benefits they offer for off-grid electrification.Design/methodology/approachA quantitative research approach was used to explore the power output performance of six solar systems samples. In order to realize a proper load management, daily power production was measured to determine the generation capacity of 50, 60 and 100 Wp monocrystalline and polycrystalline modules when average solar irradiation was 916 W/m2. In the testing system, the irradiation was measured by panel analyzer HT instrument I-V 400. The load arrangement comprised of different kinds of appliances (fan, light, TV). The daily consumption of energy by these loads was calculated using daily operational hours to determine system power performance.FindingsThe authors found that monocrystalline system performs better than polycrystalline by 0.39 kilowatt-hour (kWh) with capacity of 100 watt-peak (Wp) modules. The carbon dioxide (CO2) emissions reduction potential of our sample solar systems were also estimated by assuming a scenario. This was derived by using the electricity emission factor for natural gas (CH4), since CH4 is the main source of energy for power generation in Bangladesh. Savings in CO2 of 0.52 kgCO2/kWh is possible with the adoption of a 100 Wp monocrystalline module.Practical implicationsGovernment actions that promote the use of monocrystalline module will enhance the benefits of the use of solar systems in providing quality and sustainable electricity. This will contribute to government's efforts towards achieving some of the United Nations (UN) sustainable development goals (SDG) and resilience of the most vulnerable population to the effects and impacts of climate change.Originality/valueAlmost all solar modules found in off-grid areas are polycrystalline whose energy generation capacity is much lower compared to monocrystalline types. But use of low efficient polycrystalline solar module hindered the development of country's solar sector and option to save carbon emission. The use of highly efficient monocrystalline solar module will save also the country's land as the country has land scarcity challenges for establishing large-scale solar power plant. The authors also recommend actions that can be implemented at the national level to improve the attractiveness of monocrystalline solar systems in Bangladesh.

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Section: Resultsmentioning

confidence: 99%

Assessment of energy and emissions saving impact of solar PV modules: a case study of Bangladesh

Imu

Ezeamama

Matemilola

2021

IJBPA

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“…Figure 1. Outline of the CRISP-DM approach [5] Pujotomo and Diantari [11] discuss the issues occurring in PV panels due to increases in the temperature of PV module. The re-search aimed to maintain the PV panel performance while minimizing the solar panel's temperature.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance analysis of photovoltaic panel using machine learning method

Wahile,

Londhe,

Trikal

et al. 2024

IJEECS

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Demand for energy is increasing as the world’s population grows, fossil fuels deplete on a daily basis, and climate conditions change. Renewable energy is more important than ever. Solar energy is the most accessible and cost-effective renewable energy source available today. Photovoltaic (PV) cells are the most promising way to convert solar energy into electricity. Wind speed, ambient temperature, incident radiation rate, and dust deposition are some of the internal and external variables that affect photovoltaic panel performance. Unwanted heat from the sun’s rays raises panel temperatures, reduces the amount of energy that solar cells can produce, and lowers conversion efficiency. Solar panels must be adequately cooled. The current research is focused on improving photovoltaic panel performance. The experimental system includes a fully automated photovoltaic panel, a microcontroller (NodeMCU8266), a DC pump, voltage and temperature sensors. The experiment was carried out with and without cooling of the PV panel. The findings suggest that keeping PV panel temperatures close to ambient temperatures improves performance. The Wi-Fi module collects real-time data on PV panel temperature, irradiation, ambient temperature, water temperature, and PV panel power output. The collected data was analyzed using machine learning. The PV panel’s performance was analyzed using the linear regression method.

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Characteristics Surface Temperature of Solar Cell Polycrystalline Type to Output Power

Cited by 2 publications

References 5 publications

Assessment of energy and emissions saving impact of solar PV modules: a case study of Bangladesh

Assessment of energy and emissions saving impact of solar PV modules: a case study of Bangladesh

Performance analysis of photovoltaic panel using machine learning method

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