SlideShare una empresa de Scribd logo
1 de 1
Solar World Congress 2013:
Analysis of characteristic parameters of
commercial photovoltaic modules
Wilson Braga Júnior¹, Wilson Negrão Macêdo² and João Tavares Pinho³

Abstract:
Photovoltaic energy generation can still be considered as being
developed in the world, representing a growing market, especially
after the year 2000. The main objective in this work is to present
the characteristics for different technologies and manufacturers of
commercial photovoltaic modules, based on their electrical
parameters. For this purpose, data extracted from datasheets of
281 photovoltaic modules from different types and manufacturers
were used. This database gives a good idea of the photovoltaic
market.

Efficiency:
One of the most fundamental characteristic of an energy
conversion device is its efficiency, because it determines its
ability to transform one type of energy in another type. With the
PV modules, it is not different, and the efficiency is even more
relevant, because the commonly used technologies have relative
low values of efficiency and high costs.
Fig. 1 shows the energy conversion efficiency for all photovoltaic
modules used in this study, classified according to module peak
power.

Fig. 2. (a)Short-circuit and (b) open circuit voltage as function of Rated Power

Comparing the values of short-circuit currents and open-circuit
voltages with their respective rated values at maximum power, it is
possible to obtain a correlation between these parameters, as
shown in Fig. 3.

Fig. 3. Correlation between: (a) short-circuit currents and maximum rated currents; (a) opencircuit voltages and maximum rated voltages.

For mono and polycrystalline technologies, the average value
obtained for the relationship between the maximum rated current
and the short-circuit current was 81.0 %, with values concentrated in
the range of 78 and 83 %. JIANG et al. [1] analyzed this factor for
various conditions of irradiance and temperature, with
monocrystalline modules, at the solar simulator, and their study
showed mean values of 81.4 %. ORIOLI et al. [2] proposed a new
method of analysis of the electrical parameters of modules, and the
values presented in their study were 80.4 %.

Conclusion:

Fig. 1. Analysis of module efficiency.

Short circuit current and open
circuit voltage:
The open-circuit voltage values are distributed into sets of equal
values for a large power range, and are limited between 21.6 V
(36 cells) and 49.5 V (80 cells). The high number of modules with
36 and 72 cells is due to these modules are ideal to load battery
systems with 12 V and 24 V, respectively.
Further investigation refers to the short-circuit currents shown in
Fig. 2. The majority of the tested photovoltaic modules have
currents between 7 A and 9 A. This analysis shows dominance of
cell sizes of 15.6 cm x 15.6 cm (243 cm²). The second group of
modules are manufactured with 12.5 cm x 12.5 cm (156 cm²),
while the rest of them are not manufactured with complete cells,
but only with portions of them.

This study intends to be a description of the photovoltaic market in
2012. As photovoltaic technology is in development phase, the
variables mentioned here may have large variations in the coming
years, which justifies the continuation of this work. Some of the
adjustments can be done mainly adding new manufacturers, new
technologies and other module types, such as the bifacial ones.
The main information obtained are related to the technical
characteristics of current photovoltaic market, which can be used
both for theoretical characterization technique and as a tool for
project development, since it encompasses several important
features in its application.

References:
[1] JIANG, JA. WANG, JC. KUO, KC. SU, Y.L. SHIEH, JC. CHOU, JJ. Analysis of the
junction temperature and thermal characteristics of photovoltaic modules under
various operation conditions. Energy, Taipei, p.293-301, 07 feb. 2012.
[2] ORIOLI, Aldo; GANGI, Alessandra Di. A procedure to calculate the five-parameter
model of crystalline silicon photovoltaic modules on the basis of the tabular
performance data. Applied Energy, Palermo, p. 1161-1177. 12 jun. 2012.

Author information
1. wbj99@yahoo.com.br - Universidade Federal do Pará
2. wnmacedo@ufpa.br - Universidade Federal do Pará
3. jtpinho@ufpa.br - Universidade Federal do Pará

Más contenido relacionado

La actualidad más candente

Analysis of the hard and soft shading impact on photovoltaic module performan...
Analysis of the hard and soft shading impact on photovoltaic module performan...Analysis of the hard and soft shading impact on photovoltaic module performan...
Analysis of the hard and soft shading impact on photovoltaic module performan...
International Journal of Power Electronics and Drive Systems
 
Modeling of photovoltaic system with maximum power point tracking control by ...
Modeling of photovoltaic system with maximum power point tracking control by ...Modeling of photovoltaic system with maximum power point tracking control by ...
Modeling of photovoltaic system with maximum power point tracking control by ...
International Journal of Power Electronics and Drive Systems
 
17 storage size determination for grid-connected
17 storage size determination for grid-connected17 storage size determination for grid-connected
17 storage size determination for grid-connected
Ali Aliali
 
Study and Simulation of Inccond Based Maximum Power Point Tracking (MPPT) Alg...
Study and Simulation of Inccond Based Maximum Power Point Tracking (MPPT) Alg...Study and Simulation of Inccond Based Maximum Power Point Tracking (MPPT) Alg...
Study and Simulation of Inccond Based Maximum Power Point Tracking (MPPT) Alg...
paperpublications3
 

La actualidad más candente (18)

Flow-induced energy harvesting: conceptual design and numerical analyses of ...
Flow-induced energy harvesting: conceptual design and numerical  analyses of ...Flow-induced energy harvesting: conceptual design and numerical  analyses of ...
Flow-induced energy harvesting: conceptual design and numerical analyses of ...
 
Energies 13-02570
Energies 13-02570Energies 13-02570
Energies 13-02570
 
report 2
report 2report 2
report 2
 
Application of the Least Square Support Vector Machine for point-to-point for...
Application of the Least Square Support Vector Machine for point-to-point for...Application of the Least Square Support Vector Machine for point-to-point for...
Application of the Least Square Support Vector Machine for point-to-point for...
 
Unit Commitment Problem in Electrical Power System: A Literature Review
Unit Commitment Problem in Electrical Power System:  A Literature Review Unit Commitment Problem in Electrical Power System:  A Literature Review
Unit Commitment Problem in Electrical Power System: A Literature Review
 
Analysis of the hard and soft shading impact on photovoltaic module performan...
Analysis of the hard and soft shading impact on photovoltaic module performan...Analysis of the hard and soft shading impact on photovoltaic module performan...
Analysis of the hard and soft shading impact on photovoltaic module performan...
 
Modeling of photovoltaic system with maximum power point tracking control by ...
Modeling of photovoltaic system with maximum power point tracking control by ...Modeling of photovoltaic system with maximum power point tracking control by ...
Modeling of photovoltaic system with maximum power point tracking control by ...
 
Ieeepro techno solutions 2012 ieee embedded project - design & impleme...
Ieeepro techno solutions   2012 ieee embedded project  - design & impleme...Ieeepro techno solutions   2012 ieee embedded project  - design & impleme...
Ieeepro techno solutions 2012 ieee embedded project - design & impleme...
 
7 article azojete vol 9 69 81
7 article azojete vol 9 69 817 article azojete vol 9 69 81
7 article azojete vol 9 69 81
 
Modeling and Parameter Extraction of PV Modules Using Genetic Algorithms and ...
Modeling and Parameter Extraction of PV Modules Using Genetic Algorithms and ...Modeling and Parameter Extraction of PV Modules Using Genetic Algorithms and ...
Modeling and Parameter Extraction of PV Modules Using Genetic Algorithms and ...
 
17 storage size determination for grid-connected
17 storage size determination for grid-connected17 storage size determination for grid-connected
17 storage size determination for grid-connected
 
Power Generation Using Piezoelectric Transducer
Power Generation Using Piezoelectric TransducerPower Generation Using Piezoelectric Transducer
Power Generation Using Piezoelectric Transducer
 
Energies 12-01934
Energies 12-01934Energies 12-01934
Energies 12-01934
 
Study and Simulation of Inccond Based Maximum Power Point Tracking (MPPT) Alg...
Study and Simulation of Inccond Based Maximum Power Point Tracking (MPPT) Alg...Study and Simulation of Inccond Based Maximum Power Point Tracking (MPPT) Alg...
Study and Simulation of Inccond Based Maximum Power Point Tracking (MPPT) Alg...
 
PVPF tool: an automated web application for real-time photovoltaic power fore...
PVPF tool: an automated web application for real-time photovoltaic power fore...PVPF tool: an automated web application for real-time photovoltaic power fore...
PVPF tool: an automated web application for real-time photovoltaic power fore...
 
Integration of Supercapacitor in Photovoltaic Energy Storage: Modelling and C...
Integration of Supercapacitor in Photovoltaic Energy Storage: Modelling and C...Integration of Supercapacitor in Photovoltaic Energy Storage: Modelling and C...
Integration of Supercapacitor in Photovoltaic Energy Storage: Modelling and C...
 
REGRID
REGRIDREGRID
REGRID
 
A hybrid solar
A hybrid solarA hybrid solar
A hybrid solar
 

Similar a Análise de parâmetros característicos de módulos fotovoltaicos.

Modeling Solar Modules Performance Under Temperature and Solar Radiation of W...
Modeling Solar Modules Performance Under Temperature and Solar Radiation of W...Modeling Solar Modules Performance Under Temperature and Solar Radiation of W...
Modeling Solar Modules Performance Under Temperature and Solar Radiation of W...
International Journal of Power Electronics and Drive Systems
 
Voltage sensitivity analysis to determine the optimal integration of distribu...
Voltage sensitivity analysis to determine the optimal integration of distribu...Voltage sensitivity analysis to determine the optimal integration of distribu...
Voltage sensitivity analysis to determine the optimal integration of distribu...
IJECEIAES
 
Comparative Study Of Mppt Algorithms For Photovoltaic...
Comparative Study Of Mppt Algorithms For Photovoltaic...Comparative Study Of Mppt Algorithms For Photovoltaic...
Comparative Study Of Mppt Algorithms For Photovoltaic...
Stacey Cruz
 
A study on modelling and simulation of photovoltaic cells
A study on modelling and simulation of photovoltaic cellsA study on modelling and simulation of photovoltaic cells
A study on modelling and simulation of photovoltaic cells
eSAT Publishing House
 
A study on modelling and simulation of photovoltaic cells
A study on modelling and simulation of photovoltaic cellsA study on modelling and simulation of photovoltaic cells
A study on modelling and simulation of photovoltaic cells
eSAT Journals
 
A study on modelling and simulation of photovoltaic cells
A study on modelling and simulation of photovoltaic cellsA study on modelling and simulation of photovoltaic cells
A study on modelling and simulation of photovoltaic cells
eSAT Publishing House
 

Similar a Análise de parâmetros característicos de módulos fotovoltaicos. (20)

147 analysis of characteristic parameters of commercial photovoltaic modules
147 analysis of characteristic parameters of commercial photovoltaic modules147 analysis of characteristic parameters of commercial photovoltaic modules
147 analysis of characteristic parameters of commercial photovoltaic modules
 
Modeling of 185W of mono-crystalline solar panel using MATLAB/Simulink
Modeling of 185W of mono-crystalline solar panel using MATLAB/SimulinkModeling of 185W of mono-crystalline solar panel using MATLAB/Simulink
Modeling of 185W of mono-crystalline solar panel using MATLAB/Simulink
 
The Differences between Single Diode Model and Double Diode Models of a Solar...
The Differences between Single Diode Model and Double Diode Models of a Solar...The Differences between Single Diode Model and Double Diode Models of a Solar...
The Differences between Single Diode Model and Double Diode Models of a Solar...
 
Maximum power point tracking based on improved spotted hyena optimizer for s...
Maximum power point tracking based on improved spotted  hyena optimizer for s...Maximum power point tracking based on improved spotted  hyena optimizer for s...
Maximum power point tracking based on improved spotted hyena optimizer for s...
 
Estimation of Photovoltaic Module Parameters based on Total Error Minimizatio...
Estimation of Photovoltaic Module Parameters based on Total Error Minimizatio...Estimation of Photovoltaic Module Parameters based on Total Error Minimizatio...
Estimation of Photovoltaic Module Parameters based on Total Error Minimizatio...
 
The Application of Artificial Intelligence Techniques for Modeling and Simula...
The Application of Artificial Intelligence Techniques for Modeling and Simula...The Application of Artificial Intelligence Techniques for Modeling and Simula...
The Application of Artificial Intelligence Techniques for Modeling and Simula...
 
Modeling Solar Modules Performance Under Temperature and Solar Radiation of W...
Modeling Solar Modules Performance Under Temperature and Solar Radiation of W...Modeling Solar Modules Performance Under Temperature and Solar Radiation of W...
Modeling Solar Modules Performance Under Temperature and Solar Radiation of W...
 
Performance of low-cost solar radiation logger
Performance of low-cost solar radiation loggerPerformance of low-cost solar radiation logger
Performance of low-cost solar radiation logger
 
Photovoltaic parameters estimation of poly-crystalline and mono-crystalline ...
Photovoltaic parameters estimation of poly-crystalline and  mono-crystalline ...Photovoltaic parameters estimation of poly-crystalline and  mono-crystalline ...
Photovoltaic parameters estimation of poly-crystalline and mono-crystalline ...
 
Voltage sensitivity analysis to determine the optimal integration of distribu...
Voltage sensitivity analysis to determine the optimal integration of distribu...Voltage sensitivity analysis to determine the optimal integration of distribu...
Voltage sensitivity analysis to determine the optimal integration of distribu...
 
Electrical battery modeling for applications in wireless sensor networks and ...
Electrical battery modeling for applications in wireless sensor networks and ...Electrical battery modeling for applications in wireless sensor networks and ...
Electrical battery modeling for applications in wireless sensor networks and ...
 
36 p vplant-modeling-gorgan
36 p vplant-modeling-gorgan36 p vplant-modeling-gorgan
36 p vplant-modeling-gorgan
 
2005_A Review of Single-Phase Grid-Connected Inverters.pdf
2005_A Review of Single-Phase Grid-Connected Inverters.pdf2005_A Review of Single-Phase Grid-Connected Inverters.pdf
2005_A Review of Single-Phase Grid-Connected Inverters.pdf
 
An efficient optical inspection of photovoltaic modules deploying edge detec...
An efficient optical inspection of photovoltaic modules  deploying edge detec...An efficient optical inspection of photovoltaic modules  deploying edge detec...
An efficient optical inspection of photovoltaic modules deploying edge detec...
 
Comparative Study Of Mppt Algorithms For Photovoltaic...
Comparative Study Of Mppt Algorithms For Photovoltaic...Comparative Study Of Mppt Algorithms For Photovoltaic...
Comparative Study Of Mppt Algorithms For Photovoltaic...
 
A study on modelling and simulation of photovoltaic cells
A study on modelling and simulation of photovoltaic cellsA study on modelling and simulation of photovoltaic cells
A study on modelling and simulation of photovoltaic cells
 
A study on modelling and simulation of photovoltaic cells
A study on modelling and simulation of photovoltaic cellsA study on modelling and simulation of photovoltaic cells
A study on modelling and simulation of photovoltaic cells
 
A study on modelling and simulation of photovoltaic cells
A study on modelling and simulation of photovoltaic cellsA study on modelling and simulation of photovoltaic cells
A study on modelling and simulation of photovoltaic cells
 
A Comprehensive Analysis of Partial Shading Effect on Output Parameters of a ...
A Comprehensive Analysis of Partial Shading Effect on Output Parameters of a ...A Comprehensive Analysis of Partial Shading Effect on Output Parameters of a ...
A Comprehensive Analysis of Partial Shading Effect on Output Parameters of a ...
 
Mathematical modeling, simulation and validation of photovoltaic cells
Mathematical modeling, simulation and validation of photovoltaic cellsMathematical modeling, simulation and validation of photovoltaic cells
Mathematical modeling, simulation and validation of photovoltaic cells
 

Más de Wilson Braga Júnior (11)

Análise de parâmetros característicos de módulos fotovoltaicos.
Análise de parâmetros característicos de módulos fotovoltaicos.Análise de parâmetros característicos de módulos fotovoltaicos.
Análise de parâmetros característicos de módulos fotovoltaicos.
 
Banner artigo- Energia Solar.
Banner artigo- Energia Solar.Banner artigo- Energia Solar.
Banner artigo- Energia Solar.
 
Difusão do conhecimento em energia solar na região Norte do Brasil.
Difusão do conhecimento em energia solar na região Norte do Brasil.Difusão do conhecimento em energia solar na região Norte do Brasil.
Difusão do conhecimento em energia solar na região Norte do Brasil.
 
Células a combustível: ácido fosfórico (PAFC)
Células a combustível: ácido fosfórico  (PAFC)Células a combustível: ácido fosfórico  (PAFC)
Células a combustível: ácido fosfórico (PAFC)
 
Redes Neurais Aplicadas em Sistemas Elétricos de Potência
Redes Neurais Aplicadas em Sistemas Elétricos de PotênciaRedes Neurais Aplicadas em Sistemas Elétricos de Potência
Redes Neurais Aplicadas em Sistemas Elétricos de Potência
 
Solarcooling
SolarcoolingSolarcooling
Solarcooling
 
Apresentação final
Apresentação finalApresentação final
Apresentação final
 
Teoria dos jogos
Teoria dos jogosTeoria dos jogos
Teoria dos jogos
 
Isashow es eficiencia energética v1.6
Isashow es eficiencia energética v1.6Isashow es eficiencia energética v1.6
Isashow es eficiencia energética v1.6
 
Geração eólica conversão eólio elétrica
Geração eólica   conversão eólio elétricaGeração eólica   conversão eólio elétrica
Geração eólica conversão eólio elétrica
 
Geração eólica curto circuito em aerogeradores
Geração eólica   curto circuito em aerogeradoresGeração eólica   curto circuito em aerogeradores
Geração eólica curto circuito em aerogeradores
 

Último

Último (20)

AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101AI presentation and introduction - Retrieval Augmented Generation RAG 101
AI presentation and introduction - Retrieval Augmented Generation RAG 101
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
 
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdfSimplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
Simplified FDO Manufacturing Flow with TPMs _ Liam at Infineon.pdf
 
What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
 
IESVE for Early Stage Design and Planning
IESVE for Early Stage Design and PlanningIESVE for Early Stage Design and Planning
IESVE for Early Stage Design and Planning
 
ERP Contender Series: Acumatica vs. Sage Intacct
ERP Contender Series: Acumatica vs. Sage IntacctERP Contender Series: Acumatica vs. Sage Intacct
ERP Contender Series: Acumatica vs. Sage Intacct
 
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
 
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdf
 
WebRTC and SIP not just audio and video @ OpenSIPS 2024
WebRTC and SIP not just audio and video @ OpenSIPS 2024WebRTC and SIP not just audio and video @ OpenSIPS 2024
WebRTC and SIP not just audio and video @ OpenSIPS 2024
 
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
 
Designing for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at ComcastDesigning for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at Comcast
 
TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024
 
State of the Smart Building Startup Landscape 2024!
State of the Smart Building Startup Landscape 2024!State of the Smart Building Startup Landscape 2024!
State of the Smart Building Startup Landscape 2024!
 
WebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM PerformanceWebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM Performance
 
Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024
 
AI mind or machine power point presentation
AI mind or machine power point presentationAI mind or machine power point presentation
AI mind or machine power point presentation
 
Intro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераIntro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджера
 
Using IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & IrelandUsing IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & Ireland
 
Oauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoftOauth 2.0 Introduction and Flows with MuleSoft
Oauth 2.0 Introduction and Flows with MuleSoft
 

Análise de parâmetros característicos de módulos fotovoltaicos.

  • 1. Solar World Congress 2013: Analysis of characteristic parameters of commercial photovoltaic modules Wilson Braga Júnior¹, Wilson Negrão Macêdo² and João Tavares Pinho³ Abstract: Photovoltaic energy generation can still be considered as being developed in the world, representing a growing market, especially after the year 2000. The main objective in this work is to present the characteristics for different technologies and manufacturers of commercial photovoltaic modules, based on their electrical parameters. For this purpose, data extracted from datasheets of 281 photovoltaic modules from different types and manufacturers were used. This database gives a good idea of the photovoltaic market. Efficiency: One of the most fundamental characteristic of an energy conversion device is its efficiency, because it determines its ability to transform one type of energy in another type. With the PV modules, it is not different, and the efficiency is even more relevant, because the commonly used technologies have relative low values of efficiency and high costs. Fig. 1 shows the energy conversion efficiency for all photovoltaic modules used in this study, classified according to module peak power. Fig. 2. (a)Short-circuit and (b) open circuit voltage as function of Rated Power Comparing the values of short-circuit currents and open-circuit voltages with their respective rated values at maximum power, it is possible to obtain a correlation between these parameters, as shown in Fig. 3. Fig. 3. Correlation between: (a) short-circuit currents and maximum rated currents; (a) opencircuit voltages and maximum rated voltages. For mono and polycrystalline technologies, the average value obtained for the relationship between the maximum rated current and the short-circuit current was 81.0 %, with values concentrated in the range of 78 and 83 %. JIANG et al. [1] analyzed this factor for various conditions of irradiance and temperature, with monocrystalline modules, at the solar simulator, and their study showed mean values of 81.4 %. ORIOLI et al. [2] proposed a new method of analysis of the electrical parameters of modules, and the values presented in their study were 80.4 %. Conclusion: Fig. 1. Analysis of module efficiency. Short circuit current and open circuit voltage: The open-circuit voltage values are distributed into sets of equal values for a large power range, and are limited between 21.6 V (36 cells) and 49.5 V (80 cells). The high number of modules with 36 and 72 cells is due to these modules are ideal to load battery systems with 12 V and 24 V, respectively. Further investigation refers to the short-circuit currents shown in Fig. 2. The majority of the tested photovoltaic modules have currents between 7 A and 9 A. This analysis shows dominance of cell sizes of 15.6 cm x 15.6 cm (243 cm²). The second group of modules are manufactured with 12.5 cm x 12.5 cm (156 cm²), while the rest of them are not manufactured with complete cells, but only with portions of them. This study intends to be a description of the photovoltaic market in 2012. As photovoltaic technology is in development phase, the variables mentioned here may have large variations in the coming years, which justifies the continuation of this work. Some of the adjustments can be done mainly adding new manufacturers, new technologies and other module types, such as the bifacial ones. The main information obtained are related to the technical characteristics of current photovoltaic market, which can be used both for theoretical characterization technique and as a tool for project development, since it encompasses several important features in its application. References: [1] JIANG, JA. WANG, JC. KUO, KC. SU, Y.L. SHIEH, JC. CHOU, JJ. Analysis of the junction temperature and thermal characteristics of photovoltaic modules under various operation conditions. Energy, Taipei, p.293-301, 07 feb. 2012. [2] ORIOLI, Aldo; GANGI, Alessandra Di. A procedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data. Applied Energy, Palermo, p. 1161-1177. 12 jun. 2012. Author information 1. wbj99@yahoo.com.br - Universidade Federal do Pará 2. wnmacedo@ufpa.br - Universidade Federal do Pará 3. jtpinho@ufpa.br - Universidade Federal do Pará