Matlab PV solar concentrator performance prediction based on triple junction solar cell model

Catelani, Marcantonio; Ciani, Lorenzo; Kazimierczuk, Marian K.; Reatti, Alberto

doi:10.1016/j.measurement.2016.03.046

Cited by 21 publications

(6 citation statements)

References 22 publications

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“…The fundamental elements of a PV system equipment are the photovoltaic PV cell that converts sunlight directly into electricity (Ebrahimi, et al, 2019). These cells are arranged in a PV module that incorporate of several pre-wired cells in series (Catelani, et al, 2016). The modules parallel connection led to a current boost while the voltage increases by the modules series connection.…”

Section: Intruductionmentioning

confidence: 99%

Extracting Four Solar Model Electrical Parameters of Mono-Crystalline Silicon (mc-Si) and Thin Film (CIGS) Solar Modules using Different Methods

Katee

Abdullah

Hashim

2021

jcoeng

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Experimental measurements were done for characterizing current-voltage and power-voltage of two types of photovoltaic (PV) solar modules; monocrystalline silicon (mc-Si) and copper indium gallium di-selenide (CIGS). The conversion efficiency depends on many factors, such as irradiation and temperature. The assembling measures as a rule cause contrast in electrical boundaries, even in cells of a similar kind. Additionally, if the misfortunes because of cell associations in a module are considered, it is hard to track down two indistinguishable photovoltaic modules. This way, just the I-V, and P-V bends' trial estimation permit knowing the electrical boundaries of a photovoltaic gadget with accuracy. This measure gives extremely significant data to the plan, establishment, and upkeep of PV frameworks. Three methods, simplified explicit, slope, and iterative, are used to compute two solar models' parameters using MATLAB code. The percentage maximum power errors at (600 and 1000) W/m2 for both current-voltage and power-voltage values with the corresponding measured ones using the slope method are 0.5% and 3% for monocrystalline silicon copper indium gallium di-selenide, respectively. The iterative method is 5 % and 10% for monocrystalline silicon and copper indium gallium di-selenide. Finally, for the simplified explicit 8% and 9%, for monocrystalline silicon and copper indium gallium di-selenide, respectively. The slope method gives more close results with the corresponding measured values than the other two methods for the two PV solar modules used. Consequently, the slope method is less influenced by the meteorological condition.

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Section: Intruductionmentioning

confidence: 99%

Extracting Four Solar Model Electrical Parameters of Mono-Crystalline Silicon (mc-Si) and Thin Film (CIGS) Solar Modules using Different Methods

Katee

Abdullah

Hashim

2021

jcoeng

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“…Jazla Fadda American University in the Emirates-Block 7-Dubai International Academic City-Dubai -United Arab Emirates-P.O.Box: 503000 |Email: Jazla.fadda@aue.ae 2 Universidad de la Republica (Uruguay) 3 Universidad de Gerona (Spain) 4 Universidad Politécnica de Cataluña (Spain) 5 Université de Lille 1 (France) …”

Section: -Quality Of Healthcare: a Review Of The Impact Of Hospitalmentioning

confidence: 99%

Photovoltaic and Thermal Solar Concentrator Integrated into a Dynamic Shading Device

Chieli

Nelli

2018

Sustainable Building for a Cleaner Environment

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The paper addresses the problem of designing efficient shading devices for buildings. The novelty of this project is a dynamic design for shading devices, new in the market of photovoltaic and concentrator systems, that changing orientation and configuration, allows the best lighting comfort in buildings while producing energy.This device consists of a series of linear low concentrator with monoaxial sun tracking and a semi-parabolic profile reflector providing the solar radiation concentration into a string of mono-crystalline cells PV, with 5,5x concentration factor. The thermal energy production is achieved through the cooling system of the device whereby hot water is produced.The contribution of this study is a new concept and developments in solar thermal concentrator systems revealing new trend for the technology to be integrated into architecture, especially in dynamic solution for shading devices.

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“…This concentrated PV technology is further approached into high concentrator PV (HCPV) and low concentrator PV (LCPV) according the concentration level and nature of concentrators used (linear or point focus) 15‐17 . In general, HCPV technology is matured and achieves the more efficiency; at the meantime cost of the PV module used for this technology is high compared with LCPV 18 . The solar cell used in HCPVs (300‐1000 suns) are multi‐junction solar cells, it belongs to the III–V semiconductor group and it forms a more complex group to produce mass output 19,20 .…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of 1‐Sun and 2‐Sun ridge concentrator PV system with various geometrical conditions

Narasimman

Kannapan

Iniyan

2021

Intl J of Energy Research

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In concentrator photovoltaic (CPV) system, the uniformity of sun light on the PV module mainly proposed with optical parameters like concentration ratio, optical angles, focal shape and uniform heat flux dissipation on PV module. The non-uniformity of sun light focusing on PV module introduce the ohmic losses in between the cell layers and it affects the rate of flow charge carriers movement. In high CPV system above 100 Suns, an effective tracking and thermal management schemes are essential for uniform power collection throughout the year. The continuous tracking system possesses a moving part that results in an increased maintenance costs for the system life. For the better heat dissipation on PV module, a separate active or passive cooling system is essential to ensure adequate performance. The shading is another challenge in flat plate and concentrated photo voltaic power plants. Single shaded solar cells are creating more impact with the overall energy yield. In CPV system the reflector mirrors were produce some near shading effect on the PV module causes by sun path and optical geometry of concentrator system. Hence, in this research work, all-inclusive concerns/limitations were addressed by using a linear ridge concentrator PV system with 1-Sun and 2-Sun concentration. The whole tracking mechanism of system can be reduced into single axis monthly tracking with manual mode. The geometrical ray tracing analysis of the ridge concentrator system was carried out using Trace-pro ray simulation. The annual near shading analysis caused by the reflectors mirrors were carried out with East-West and North-South tracking mode using PV system simulation tool. The shading losses like beam liner loss, module loss and monthly shading factors are also calculated using the same tool. The temperature of the PV module reduced using Silica mesoporous coated reflector as heat sink. The 38%, 58%, and 31% of the total cell area was affected by shade in 1-Sun concentrator for the months of November, December and January, respectively. The increments in output power gain were up to 11.5%, 24.3%, 19.2%, and 48.89% for 1-Sun, 2-Sun, 1-Sun with Tilt and 2-Sun with tilt respectively compared with a reference PV module. Efficiency improvements observed for 1-Sun, 2-Sun,

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Matlab PV solar concentrator performance prediction based on triple junction solar cell model

Cited by 21 publications

References 22 publications

Extracting Four Solar Model Electrical Parameters of Mono-Crystalline Silicon (mc-Si) and Thin Film (CIGS) Solar Modules using Different Methods

Extracting Four Solar Model Electrical Parameters of Mono-Crystalline Silicon (mc-Si) and Thin Film (CIGS) Solar Modules using Different Methods

Photovoltaic and Thermal Solar Concentrator Integrated into a Dynamic Shading Device

Performance analysis of 1‐Sun and 2‐Sun ridge concentrator PV system with various geometrical conditions

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