Effects of Environmental Conditions on Photovoltaic Generation System Performance with Polycrystalline Panels

Ruiz, Saúl Mejía; Chamorro, Marley Vanegas; Ocho, Guillermo Valencia; Villegas, Jonathan Fabregas; Peñaloza, Carlos Acevedo

doi:10.18517/ijaseit.11.5.9335

Cited by 3 publications

(4 citation statements)

References 8 publications

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“…Where Tcell is the cell effective temperature and TSTC is the cell temperature ay STC (provided in the datasheet) [32].…”

Section: Ac Power Analysis (Pac_actual and Pac_predict)mentioning

confidence: 99%

“…An approved operating PV system is said to be the system if the AR value is equal to or greater than 0.9. In other words, there is no fault in the system [32]. To calculate AR for GCPV systems, the following equations must be used: To compare technical performance indices for predicted and simulated while setting the actual as benchmark.…”

Section: Acceptance Ratio (Ar)mentioning

confidence: 99%

“…To detect the fault, the acceptance ratio (AR) assessment was performed for polycrystalline GCPV systems. Polycrystalline GCPV system are mostly used in entire world, leading a good subject to compare [32], [33]. This study is beneficial to compare the performance of polycrystalline GCPV system in tropical climate country with another climate.…”

Section: Introductionmentioning

confidence: 99%

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Fault detection using acceptance ratio analysis on polycrystalline grid-connected photovoltaics system

Muhammad

Roland

Zainuddin

2023

IJPEDS

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<p><span lang="EN-US">Around the world, electricity generation from PV photovoltaic systems is increasing, achieving 10-20% PV system efficiency. However, PV systems degrade due to the technology and the operating conditions and become worse in tropical climate countries. Hence, degradation is one of the key performance indicators for the reliability assessment of a PV system. This paper presents the acceptance ratio (AR) analysis grid-connected photovoltaic (GCPV) located on the campus of the Universiti Teknologi MARA, Shah Alam, Malaysia as the key performance indicators. A comparative analysis of the actual and predicted AC Power and AR of the polycrystalline GCPV system is carried out over monitoring of a one-year period. MATLAB software is chosen to simulate the output power using actual data. Malaysian Standard MS2692:2020 has noted that the AR value must ≥ 0.9 to classify as accepted in testing and commissioning tests and AR < 0.9 has been indicated as a non-accepted GCPV system. The results of acceptance ratio (AR), yield (Y), specific yield (SY), and performance ratio (PR) show that almost half of the AR’s data results show below 0.9 with the performance ratio of PV systems was less than 75%, indicating that the systems needed to be completely replaced.</span></p>

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“…Where Tcell is the cell effective temperature and TSTC is the cell temperature ay STC (provided in the datasheet) [32].…”

Section: Ac Power Analysis (Pac_actual and Pac_predict)mentioning

confidence: 99%

Section: Acceptance Ratio (Ar)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fault detection using acceptance ratio analysis on polycrystalline grid-connected photovoltaics system

Muhammad

Roland

Zainuddin

2023

IJPEDS

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“…The transition from conventional energy transformation methods to the use of renewable energies invites us to venture into new ways of generating energy through increasingly cleaner sources [1][2][3]. As is the use of biomass material, which, being a residue of agro-industrial processes, can be used for energy generation as indicated in previous studies [4,5].…”

Section: Introductionmentioning

confidence: 99%

Energy Evaluation of Synthesis Gas in a Turbocharger System Employing CFD Tools

Jorge Alvarez,

Jonathan Fabregas Villegas,

Mauricio Márquez

et al. 2024

CFDL

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Renewable energy sources derived from biomass, such as synthesis gases, represent an opportunity to take advantage of available waste resources and contribute to global energy rationing. This study developed an analysis with computational fluid dynamics (CFD) to estimate the energy behavior of synthesis gases through a turbocharger system. The synthesis gas used to drive the turbocharger turbine was extracted from the gasification of biomass from the Colombian Caribbean. The application of models for rigid body motion, as well as models of momentum, turbulence, energy, and conservation transport of species, suggest that the energy potential available by the turbine ranges from 0.4 kW to 5.2 kW of power generation, concerning mass flow rates entering the simulated system. The main findings of the study were temperature profiles, speed profiles, rotational speed variation, torque, and mechanical power generated in the turbocharger. It is emphasized that the synthesis gas studied presents a good behavior to generate energy through a turbine system of a turbocharger device.

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Deep learning-enabled integration of renewable energy sources through photovoltaics in buildings

Arun,

Le,

Barik

et al. 2024

Case Studies in Thermal Engineering

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Effects of Environmental Conditions on Photovoltaic Generation System Performance with Polycrystalline Panels

Cited by 3 publications

References 8 publications

Fault detection using acceptance ratio analysis on polycrystalline grid-connected photovoltaics system

Fault detection using acceptance ratio analysis on polycrystalline grid-connected photovoltaics system

Energy Evaluation of Synthesis Gas in a Turbocharger System Employing CFD Tools

Deep learning-enabled integration of renewable energy sources through photovoltaics in buildings

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