Photovoltaic (PV) modules, as essential components of solar power generation systems, significantly influence unitpower generation costs.The service life of these modules directly affects these costs. Over time, the p...Photovoltaic (PV) modules, as essential components of solar power generation systems, significantly influence unitpower generation costs.The service life of these modules directly affects these costs. Over time, the performanceof PV modules gradually declines due to internal degradation and external environmental factors.This cumulativedegradation impacts the overall reliability of photovoltaic power generation. This study addresses the complexdegradation process of PV modules by developing a two-stage Wiener process model. This approach accountsfor the distinct phases of degradation resulting from module aging and environmental influences. A powerdegradation model based on the two-stage Wiener process is constructed to describe individual differences inmodule degradation processes. To estimate the model parameters, a combination of the Expectation-Maximization(EM) algorithm and the Bayesian method is employed. Furthermore, the Schwarz Information Criterion (SIC) isutilized to identify critical change points in PV module degradation trajectories. To validate the universality andeffectiveness of the proposed method, a comparative analysis is conducted against other established life predictiontechniques for PV modules.展开更多
This study proposes a novel visual maintenance method for photovoltaic(PV)modules based on a two-stage Wiener degradation model,addressing the limitations of traditional PV maintenance strategies that often result in ...This study proposes a novel visual maintenance method for photovoltaic(PV)modules based on a two-stage Wiener degradation model,addressing the limitations of traditional PV maintenance strategies that often result in insufficient or excessive maintenance.The approach begins by constructing a two-stage Wiener process performance degradation model and a remaining life prediction model under perfect maintenance conditions using historical degradation data of PV modules.This enables accurate determination of the optimal timing for postfailure corrective maintenance.To optimize the maintenance strategy,the study establishes a comprehensive cost model aimed at minimizing the long-term average cost rate.The model considers multiple cost factors,including inspection costs,preventive maintenance costs,restorative maintenance costs,and penalty costs associated with delayed fault detection.Through this optimization framework,the method determines both the optimal maintenance threshold and the ideal timing for predictive maintenance actions.Comparative analysis demonstrates that the twostage Wiener model provides superior fitting performance compared to conventional linear and nonlinear degradation models.When evaluated against traditional maintenance approaches,including Wiener process-based corrective maintenance strategies and static periodic maintenance strategies,the proposed method demonstrates significant advantages in reducing overall operational costs while extending the effective service life of PV components.The method achieves these improvements through effective coordination between reliability optimization and economic benefit maximization,leading to enhanced power generation performance.These results indicate that the proposed approach offers a more balanced and efficient solution for PV system maintenance.展开更多
The dismantling and recycling of junction boxes,which is an important part of the photovoltaic module recycling process,was tested and designed scientifically.The equipment framework was built by three-dimensional sim...The dismantling and recycling of junction boxes,which is an important part of the photovoltaic module recycling process,was tested and designed scientifically.The equipment framework was built by three-dimensional simulation,and then the design of dismantling and recycling equipment for junction boxes of waste crystal silicon photovoltaic modules was completed through the experimental test and data analysis.The experimental results show that the initial idea of the dismantling scheme is correct,and the structure is feasible.However,some problems were not considered.This study provides reliable data support for the subsequent equipment development and ensures the smooth development of the subsequent design work.展开更多
Photovoltaic (PV) modules have emerged as an ideal technology of choice for <span>harvesting vastly available renewable energy resources. However, the effi</span>ciency <span>of PV modules remains si...Photovoltaic (PV) modules have emerged as an ideal technology of choice for <span>harvesting vastly available renewable energy resources. However, the effi</span>ciency <span>of PV modules remains significantly lower than that of other renewable</span> energy sources such as wind and hydro. One of the critical elements affecting a photovoltaic module’s efficiency is the variety of external climatic conditions under which it is installed. In this work, the effect of simulated snow loads was evaluated on the performance of PV modules with different <span>types of cells and numbers of busbars. According to ASTM-1830 and IEC-1215</span> standards, a load of 5400 Pa was applied to the surface of PV modules for 3 hours. An indigenously developed pneumatic airbag test setup was used for the uniform application of this load throughout the test, which was validated by load cell and pressure gauge. Electroluminescence (EL) imaging and solar flash tests were performed before and after the application of load to characterize the performance and effect of load on PV modules. Based on these tests, the maxi<span>mum power output, efficiency, fill factor and series resistance were deter</span>mined. The results show that polycrystalline modules are the most likely to withstand the snow loads as compared to monocrystalline PV modules. A maximum drop of 32.13% in the power output and a 17.6% increase in series resistance were observed in the modules having more cracks. These findings demonstrated the efficacy of the newly established test setup and the potential of snow loads for reducing the overall performance of PV module.展开更多
One of the most important parameter used for the evaluation of the energy rating of PV modules is, their spectral responsivities which are the measure of electrical performance parameters per incident solar radiation....One of the most important parameter used for the evaluation of the energy rating of PV modules is, their spectral responsivities which are the measure of electrical performance parameters per incident solar radiation. In this work, spectral responsivity measurements of a mono-crystalline, a poly-crystalline, a CIGS thin film and a bifacial module were measured using xenon-based flash type solar simulator system and a set of band pass filters. For the comprehensive characterization of parameters that may influence the spectral responsivity measurements, initially the simulator system was characterized both optically and thermally according to the IEC60904-9 and IEC60891 standard requirements. The optical characterizations in terms of spectral match, spatial non-uniformity and temporal instability indicate that the measured results (~3.0%, ~0.30% and ~0.20%) according to the IEC 60904-9 standard’s classification requirements correspond to A+A+A+ classes. Moreover, thermal characterizations in terms of the temperature uniformity show that over the 2 × 2 m area temperature uniformity of simulator system’s light distribution (1ºC) is almost two times better than the IEC 60891 standard requirements (±2ºC). Next, PV modules were electrically stabilized according to the IEC 61215-2 standard requirement’s (stability test) to reduce the fluctuations in their electrical performance parameters. Then, using the band pass filters, temperature controlled xenon-based solar simulator system and a reference PV module of the spectral responsivity of PV modules were measured from 400 nm to 1100 nm with 50 nm steps with relative uncertainty of 10<sup>-3</sup> level.展开更多
The accumulation of snow and ice on PV modules can have a detrimental impact on power generation,leading to reduced efficiency for prolonged periods.Thus,it becomes imperative to develop an intelligent system capable ...The accumulation of snow and ice on PV modules can have a detrimental impact on power generation,leading to reduced efficiency for prolonged periods.Thus,it becomes imperative to develop an intelligent system capable of accurately assessing the extent of snow and ice coverage on PV modules.To address this issue,the article proposes an innovative ice and snow recognition algorithm that effectively segments the ice and snow areas within the collected images.Furthermore,the algorithm incorporates an analysis of the morphological characteristics of ice and snow coverage on PV modules,allowing for the establishment of a residual ice and snow recognition process.This process utilizes both the external ellipse method and the pixel statistical method to refine the identification process.The effectiveness of the proposed algorithm is validated through extensive testing with isolated and continuous snow area pictures.The results demonstrate the algorithm’s accuracy and reliability in identifying and quantifying residual snow and ice on PV modules.In conclusion,this research presents a valuable method for accurately detecting and quantifying snow and ice coverage on PV modules.This breakthrough is of utmost significance for PV power plants,as it enables predictions of power generation efficiency and facilitates efficient PV maintenance during the challenging winter conditions characterized by snow and ice.By proactively managing snow and ice coverage,PV power plants can optimize energy production and minimize downtime,ensuring a sustainable and reliable renewable energy supply.展开更多
The DC energy produced by photovoltaic （PV） modules can change depending on the cell type, module components and module technology. The cell efficiency, sensitivity of the cell to light, recombination losses and how...The DC energy produced by photovoltaic （PV） modules can change depending on the cell type, module components and module technology. The cell efficiency, sensitivity of the cell to light, recombination losses and how much the light reflects within the cell will affect the amount of produced energy. In addition, the energy produced will change depending on what wavelength light and how much can be transmitted through the front glass and encapsulant and how much light is reflected from back encapsulant and back cover. The front glass transmissivity, patterned surface and existence of ARC （anti-reflective coating） are all very important. In this research project, 14 modules were tested： 4 modules Glass/Glass （Perc Mono Cell）, 4 modules Glass/Ceramic （Perc Mono Cell）, 2 modules Glass/Glass bifacial （HIT Cell）, 1 module Standard （Framed, Mono-n type Cell）, 2 modules Standard （Framed, Poly Cell）, 1 module Standard （Framed, Perc Mono Cell）. This paper compares the normalized Wh/Wp ratios of the different modules under low irradiance （morning and afternoon light） and analyzes and investigates the obtained results as per the cell type used, module components and module technology.展开更多
Large-area flexible organic photovoltaic(OPV)modules are challenging to achieve high power conversion efficiency(PCE).Electrical shunts or shortages generally occur in large-area OPV modules due to the ultrathin(100-2...Large-area flexible organic photovoltaic(OPV)modules are challenging to achieve high power conversion efficiency(PCE).Electrical shunts or shortages generally occur in large-area OPV modules due to the ultrathin(100-200 nm)and soft active layers.Improving the surface smoothness of bottom transparent electrode will be able to suppress the shunts and shortages.In this work,we report a method to fabricate smooth and flexible transparent electrodes based on thin silver film,and further to fabricate efficient large-area flexible OPV modules.The fabricated thin silver transparent electrodes simultaneously have high conductivity,high optical transmittance,good mechanical flexibility and low surface roughness.Humidity exposure(h.e.)treatment on MoO_(3)effectively facilitates the continuous growth of the thin transparent silver electrode.6 nm silver film on MoO_(3)(h.e.)on plastic substrate shows a transmittance up to 89%,a sheet resistance of 15Ω/sq,and a low surface roughness with a rootmean-square value of 0.276 nm.Furthermore,52-cm^(2)flexible organic solar modules(15 subcells)showed a certified PCE of 12.66%.Furthermore,a 1350 cm^(2)flexible component assembled by 25 pieces of 52-55 cm^(2)modules showed certified PCE of 12.10%with an open-circuit voltage of 62.85 V.展开更多
In order to address the challenges posed by complex background interference,high miss-detection rates of micro-scale defects,and limited model deployment efficiency in photovoltaic(PV)module defect detection,this pape...In order to address the challenges posed by complex background interference,high miss-detection rates of micro-scale defects,and limited model deployment efficiency in photovoltaic(PV)module defect detection,this paper proposes an efficient detection framework based on an improved YOLOv11 architecture.First,a Re-parameterized Convolution(RepConv)module is integrated into the backbone to enhance the model’s sensitivity to fine-grained defects—such as micro-cracks and hot spots—while maintaining high inference efficiency.Second,a Multi-Scale Feature Fusion Convolutional Block Attention Mechanism(MSFF-CBAM)is designed to guide the network toward critical defect regions by jointly modeling channel-wise and spatial attention.This mechanism effectively strengthens the specificity and robustness of feature representations.Third,a lightweight Dynamic Sampling Module(DySample)is employed to replace conventional upsampling operations,thereby improving the localization accuracy of small-scale defect targets.Experimental evaluations conducted on the PVEL-AD dataset demonstrate that the proposed RMDYOLOv11 model surpasses the baseline YOLOv11 in terms of mean Average Precision(mAP)@0.5,Precision,and Recall,achieving respective improvements of 4.70%,1.51%,and 5.50%.The model also exhibits notable advantages in inference speed and model compactness.Further validation on the ELPV dataset confirms the model’s generalization capability,showing respective performance gains of 1.99%,2.28%,and 1.45%across the same metrics.Overall,the enhanced model significantly improves the accuracy of micro-defect identification on PV module surfaces,effectively reducing both false negatives and false positives.This advancement provides a robust and reliable technical foundation for automated PV module defect detection.展开更多
Perovskite solar cells(Pero-SCs)exhibited a bright future for the next generation of photovoltaic technology because of their high power conversion efficiency(PCE),low cost,and simple solution process.The certified la...Perovskite solar cells(Pero-SCs)exhibited a bright future for the next generation of photovoltaic technology because of their high power conversion efficiency(PCE),low cost,and simple solution process.The certified laboratory-scale PCE has reached 25.7%referred to small scale(<0.1 cm^(2))of Pero-SCs.However,with the increase of the area to module scale,the PCE drops dramatically mainly due to the inadequate regulation of growing large-area perovskite films.Therefore,there is a dire need to produce high-quality perovskite films for large-area photovoltaic modules.Herein,we summarize the recent advances in perovskite photovoltaic modules(PPMs)with particular attention paid to the coating methods,as well as the growth regulation of the high-quality and large-area perovskite films.Furthermore,this study encompasses future development directions and prospects for PPMs.展开更多
As a clean and efficient renewable energy source,solar energy has been rapidly applied worldwide.The growth rate of China's installed capacity ranks first in the world.However,the life span of photovoltaic(PV)modu...As a clean and efficient renewable energy source,solar energy has been rapidly applied worldwide.The growth rate of China's installed capacity ranks first in the world.However,the life span of photovoltaic(PV)modules is 25 to 30 years,and the rapid development of installed capacity indicates that a large number of PV modules will be decommissioned in the future.Therefore,the ongoing treatment of the scrapped PV waste cells in the near future requires urgent plans and countermeasures.Proper recycling and disposal of decommissioned PV modules is a practical requirement for the sustainable development of the country and industry.Crystalline silicon(c-Si)solar cells currently occupy 85%-90%of the market share,and some scholars have begun to seek the utilization pathways of the waste Si in and outside the PV industry.In this paper,the research status of the separation and recycling process of crystalline Si PV modules is reviewed,and the recycling ways of crystalline silicon are particularly focused on.In addition,the current bottlenecks in the PV recycling industry in China are analyzed and some suggestions on the sustainable development of the PV industry are proposed.展开更多
Defects may occur in photovoltaic(PV)modules during production and long-term use,thereby threatening the safe operation of PV power stations.Transient thermography is a promising defect detection technology;however,it...Defects may occur in photovoltaic(PV)modules during production and long-term use,thereby threatening the safe operation of PV power stations.Transient thermography is a promising defect detection technology;however,its detection is limited by transverse thermal diffusion.This phenomenon is particularly noteworthy in the panel glasses of PV modules.A dynamic thermography testing method via transient thermography and Wiener filtering deconvolution optimization is proposed.Based on the time-varying characteristics of the point spread function,the selection rules of the first-order difference image for deconvolution are given.Samples with a broken grid and artificial cracks were tested to validate the performance of the optimization method.Compared with the feature images generated by traditional methods,the proposed method significantly improved the visual quality.Quantitative defect size detection can be realized by combining the deconvolution optimization method with adaptive threshold segmentation.For the same batch of PV products,the detection error could be controlled to within 10%.展开更多
As an alternative to conventional encapsulation concepts for a double glass photovoltaic(PV)module,we introduce an innovative ionomer-based multi-layer encapsulant,by which the application of additional edge sealing t...As an alternative to conventional encapsulation concepts for a double glass photovoltaic(PV)module,we introduce an innovative ionomer-based multi-layer encapsulant,by which the application of additional edge sealing to prevent moisture penetration is not required.The spontaneous moisture absorption and desorption of this encapsulant and its raw materials,poly(ethylene-co-acrylic acid)and an ionomer,are analyzed under different climatic conditions in this work.The relative air humidity is thermodynamically the driving force for these inverse processes and determines the corresponding equilibrium moisture content(EMC).Higher air humidity results in a larger EMC.The homogenization of the absorbed water molecules is a diffusion-controlled process,in which temperature plays a dominant role.Nevertheless,the diffusion coefficient at a higher temperature is still relatively low.Hence,under normal climatic conditions for the application of PV modules,we believe that the investigated ionomer-based encapsulant can“breathe”the humidity:During the day,when there is higher relative humidity,it“inhales”(absorbs)moisture and restrains it within the outer edge of the module;then at night,when there is a lower relative humidity,it“exhales”(desorbs)the moisture.In this way,the encapsulant protects the cell from moisture ingress.展开更多
Renewable energy sources are gaining popularity,particularly photovoltaic energy as a clean energy source.This is evident in the advancement of scientific research aimed at improving solar cell performance.Due to the ...Renewable energy sources are gaining popularity,particularly photovoltaic energy as a clean energy source.This is evident in the advancement of scientific research aimed at improving solar cell performance.Due to the non-linear nature of the photovoltaic cell,modeling solar cells and extracting their parameters is one of the most important challenges in this discipline.As a result,the use of optimization algorithms to solve this problem is expanding and evolving at a rapid rate.In this paper,a weIghted meaN oF vectOrs algorithm(INFO)that calculates the weighted mean for a set of vectors in the search space has been applied to estimate the parameters of solar cells in an efficient and precise way.In each generation,the INFO utilizes three operations to update the vectors’locations:updating rules,vector merging,and local search.The INFO is applied to estimate the parameters of static models such as single and double diodes,as well as dynamic models such as integral and fractional models.The outcomes of all applications are examined and compared to several recent algorithms.As well as the results are evaluated through statistical analysis.The results analyzed supported the proposed algorithm’s efficiency,accuracy,and durability when compared to recent optimization algorithms.展开更多
The paper identifies and analyzes the geographical and temporal variability of solar energy in Kuwait. The fundamental solar trigonometric model has been modified to estimate daily and hourly solar radiation on horizo...The paper identifies and analyzes the geographical and temporal variability of solar energy in Kuwait. The fundamental solar trigonometric model has been modified to estimate daily and hourly solar radiation on horizontal surfaces on the basis of the more readily available meteorological data. The results demonstrate that Kuwait has an abundance of solar energy capability. An overview of the production and consumption of electrical energy, installed capacity, and peak loads in Kuwait is also presented. Finally, it is shown how the power produced from the photovoitaic （PV） cells depends on the solar radiation. The proposed PV module is made up of a combination of series and parallel cells to increase power, while the IoV characteristic and output power of the module each month may be obtained from the model.展开更多
Based on the recent development of renewable energy utilization technology,in addition to centralized photovol-taic power plants,distributed photovoltaic power generation systems represented by building-integrated pho...Based on the recent development of renewable energy utilization technology,in addition to centralized photovol-taic power plants,distributed photovoltaic power generation systems represented by building-integrated photo-voltaic systems are frequently employed for power supply.Therefore,in the architectural design,the double-glass photovoltaic module used in the integrated photovoltaic building system puts forward a higher load-bearing capa-city requirement and the corresponding simplified method of carrying capacity check.This article focuses on the simplified method of checking the bearing capacity of the four-sided simply supported double-glass photovoltaic module.First,the principle of equivalent stiffness is used to calculate the effective thickness.Then,the rationality of this approach is verified by comparing the bending states of sandwich panels under different shear moduli.The double-glass photovoltaic module is equivalent to a single-layer board,and its effectiveness is verified by compar-ing the impact test results of the double-glass photovoltaic module with the results of the single-layer board.But the comparison with the test results shows that,from the perspective of architectural design,the effective thick-ness results in this paper can ensure that the building structure has sufficient bearing capacity,but the four-side simply supported boundary theory cannot fully reflect the calculation of the bearing capacity of the four-side clamped double-glass photovoltaic module.展开更多
This study proposes a solution for optimizing the distance between a solar module and reflector for an indoor energy harvesting system.It is a process in which energy(ambient light)is captured and converted directly i...This study proposes a solution for optimizing the distance between a solar module and reflector for an indoor energy harvesting system.It is a process in which energy(ambient light)is captured and converted directly into electricity.Inside a building,this energy could be used to supply power to wide range of portable equipment or offset other electrical energy usage and associated costs.The proposed reflector element was designed and tested in a real indoor environment to confirm its effectiveness.A distance⁃optimization method for the placement of a polycrystalline photovoltaic(PV)module and a mirror was described,and the performance characteristics of the system were investigated qualitatively through visual observation and quantitatively through measuring voltage and ampere values.The solar PV system with a reflector element displayed a 10%increase in voltage when compared with that without.As the distance between PV module and the reflector increased,the voltage and ampere reading decreased,thus the distance was optimized to gain maximum readings.Various studies employing reflectors have also showed increases in voltage readings with different designs,suggesting that reflectors are economically viable optical elements that can boost the voltage output of a PV module.In practice,the distance⁃optimized PV module can be placed in buildings with extended indoor lighting duration away from disrupting building activity.展开更多
This paper proposed a new function of photovoltaic thermal(PVT)module to produce nocturnal cool water not just only generating electrical power and hot water during daytime.Experimental tests were carried out under Ch...This paper proposed a new function of photovoltaic thermal(PVT)module to produce nocturnal cool water not just only generating electrical power and hot water during daytime.Experimental tests were carried out under Chiang Mai tropical climate with a 200 Wp monocrystalline PVT module having dimensions of 1.601 m×0.828 m connected with two water tanks each of 60 L taken for hot and cool water storages.The module was facing south with 18o inclination.The electrical load was a 200 W halogen lamp.From experiments,by taking the module as a nocturnal radiative cooling surface,the cool water temperature in the cool storage tank could be reduced 2℃–3℃each night and the temperature could be reduced from 31.5℃to 22.1℃within 4 consecutive days.The cool water at approximately 23℃was also used to cool down the PVT module from noon when the PVT module temperature was rather high,and then the module temperature immediately dropped around 5℃and approximately 10%increase of electrical power could be achieved.A set of mathematical models was also developed to predict the PVT module temperature and the hot water temperature including the cool water temperature in the storage tanks during daytime and nighttime.The simulated results agreed well with the experimental data.展开更多
The utilization of unused rooftops is a promising solution to meet the growing energy needs of urban areas.This study identifies the strategic locations for installing photovoltaic(PV)systems and assesses the energy p...The utilization of unused rooftops is a promising solution to meet the growing energy needs of urban areas.This study identifies the strategic locations for installing photovoltaic(PV)systems and assesses the energy production in Nador,Morocco,comparing various PV modules based on sunlight,while also integrating an economic analysis.A key innovation of this study lies in the novel application of LiDAR(Light Detection and Ranging)point clouds combined with photogrammetric restitution,enabling the construction of a 3D model of buildings.A Boolean multicriteria analysis was implemented to determine the effective surface area of each roof,considering param-eters,such as slope,orientation,shadow,and accessibility,while excluding unsuitable buildings.A substantial area of 336 ha suitable for solar systems was identified,representing 61%of the total area of existing structures,with an average annual irradiation of 1,413.71 kWh/m^(2).The CIS(copper/indium/selenium)PV module stands out as an attractive option,offering an energy capacity of 168.56 MWp and significant energy production of 311.35 GWh.Their moderate initial cost of 376.95 million USD makes themfinancially appealing with a feasible return on investment within 10 years.Environmentally,the CIS module contributes notably to reduced CO_(2) emissions,thereby mitigating its environmental impact.By implementing the CIS module,solar energy production is expected to significantly exceed the estimated demand of the urban population.The data were integrated into a Geographic Information System to target roofs suitable for solar panels,forming the basis of an accurate solar cadastre.This study actively contributes to shaping a sustainable energy landscape by promoting environment-friendly solutions,thereby playing a role in transitioning to a more sustainable energy future in Nador.展开更多
The consumption of buildings represents a considerable proportion of global carbon emissions and energy consumption.Building-integrated photovoltaics(BIPV)technology is an important means of reducing emissions and con...The consumption of buildings represents a considerable proportion of global carbon emissions and energy consumption.Building-integrated photovoltaics(BIPV)technology is an important means of reducing emissions and consumption.However,the intricacy and complexity inherent in the design of BIPV systems,particularly in the context of complex urban environments,present a significant challenge to the advancement of BIPV technology.In this study,an enhanced methodology for the design and simulation of BIPV systems is proposed and validated.The methodology proposed comprises four key parts:shadow calculation based on polygon cutting and projection,building photovoltaic resource assessment based on irradiance heat maps,automatic arrangement of photovoltaic modules based on parallel scan lines algorithm,and power generation simulation of BIPV system based on the simulation of modules,cables,and inverters.The methodology was applied and validated through three case studies,with two additional comparisons between proposed method and professional software to assess both the accuracy and efficiency of the proposed method.A thorough analysis of the case study and comparison results further confirms that the proposed design method achieves high precision and accuracy.This method offers valuable guidance for the design and simulation of BIPV power plants.展开更多
基金supported by the National Natural Science Foundation of China(51767017)the Basic Research Innovation Group Project of Gansu Province(18JR3RA133)the Industrial Support and Guidance Project of Universities in Gansu Province(2022CYZC-22).
文摘Photovoltaic (PV) modules, as essential components of solar power generation systems, significantly influence unitpower generation costs.The service life of these modules directly affects these costs. Over time, the performanceof PV modules gradually declines due to internal degradation and external environmental factors.This cumulativedegradation impacts the overall reliability of photovoltaic power generation. This study addresses the complexdegradation process of PV modules by developing a two-stage Wiener process model. This approach accountsfor the distinct phases of degradation resulting from module aging and environmental influences. A powerdegradation model based on the two-stage Wiener process is constructed to describe individual differences inmodule degradation processes. To estimate the model parameters, a combination of the Expectation-Maximization(EM) algorithm and the Bayesian method is employed. Furthermore, the Schwarz Information Criterion (SIC) isutilized to identify critical change points in PV module degradation trajectories. To validate the universality andeffectiveness of the proposed method, a comparative analysis is conducted against other established life predictiontechniques for PV modules.
基金supported by the National Natural Science Foundation of China(51767017)the Basic Research Innovation Group Project of Gansu Province(18JR3RA133)the Industrial Support and Guidance Project of Universities in Gansu Province(2022CYZC-22).
文摘This study proposes a novel visual maintenance method for photovoltaic(PV)modules based on a two-stage Wiener degradation model,addressing the limitations of traditional PV maintenance strategies that often result in insufficient or excessive maintenance.The approach begins by constructing a two-stage Wiener process performance degradation model and a remaining life prediction model under perfect maintenance conditions using historical degradation data of PV modules.This enables accurate determination of the optimal timing for postfailure corrective maintenance.To optimize the maintenance strategy,the study establishes a comprehensive cost model aimed at minimizing the long-term average cost rate.The model considers multiple cost factors,including inspection costs,preventive maintenance costs,restorative maintenance costs,and penalty costs associated with delayed fault detection.Through this optimization framework,the method determines both the optimal maintenance threshold and the ideal timing for predictive maintenance actions.Comparative analysis demonstrates that the twostage Wiener model provides superior fitting performance compared to conventional linear and nonlinear degradation models.When evaluated against traditional maintenance approaches,including Wiener process-based corrective maintenance strategies and static periodic maintenance strategies,the proposed method demonstrates significant advantages in reducing overall operational costs while extending the effective service life of PV components.The method achieves these improvements through effective coordination between reliability optimization and economic benefit maximization,leading to enhanced power generation performance.These results indicate that the proposed approach offers a more balanced and efficient solution for PV system maintenance.
文摘The dismantling and recycling of junction boxes,which is an important part of the photovoltaic module recycling process,was tested and designed scientifically.The equipment framework was built by three-dimensional simulation,and then the design of dismantling and recycling equipment for junction boxes of waste crystal silicon photovoltaic modules was completed through the experimental test and data analysis.The experimental results show that the initial idea of the dismantling scheme is correct,and the structure is feasible.However,some problems were not considered.This study provides reliable data support for the subsequent equipment development and ensures the smooth development of the subsequent design work.
文摘Photovoltaic (PV) modules have emerged as an ideal technology of choice for <span>harvesting vastly available renewable energy resources. However, the effi</span>ciency <span>of PV modules remains significantly lower than that of other renewable</span> energy sources such as wind and hydro. One of the critical elements affecting a photovoltaic module’s efficiency is the variety of external climatic conditions under which it is installed. In this work, the effect of simulated snow loads was evaluated on the performance of PV modules with different <span>types of cells and numbers of busbars. According to ASTM-1830 and IEC-1215</span> standards, a load of 5400 Pa was applied to the surface of PV modules for 3 hours. An indigenously developed pneumatic airbag test setup was used for the uniform application of this load throughout the test, which was validated by load cell and pressure gauge. Electroluminescence (EL) imaging and solar flash tests were performed before and after the application of load to characterize the performance and effect of load on PV modules. Based on these tests, the maxi<span>mum power output, efficiency, fill factor and series resistance were deter</span>mined. The results show that polycrystalline modules are the most likely to withstand the snow loads as compared to monocrystalline PV modules. A maximum drop of 32.13% in the power output and a 17.6% increase in series resistance were observed in the modules having more cracks. These findings demonstrated the efficacy of the newly established test setup and the potential of snow loads for reducing the overall performance of PV module.
文摘One of the most important parameter used for the evaluation of the energy rating of PV modules is, their spectral responsivities which are the measure of electrical performance parameters per incident solar radiation. In this work, spectral responsivity measurements of a mono-crystalline, a poly-crystalline, a CIGS thin film and a bifacial module were measured using xenon-based flash type solar simulator system and a set of band pass filters. For the comprehensive characterization of parameters that may influence the spectral responsivity measurements, initially the simulator system was characterized both optically and thermally according to the IEC60904-9 and IEC60891 standard requirements. The optical characterizations in terms of spectral match, spatial non-uniformity and temporal instability indicate that the measured results (~3.0%, ~0.30% and ~0.20%) according to the IEC 60904-9 standard’s classification requirements correspond to A+A+A+ classes. Moreover, thermal characterizations in terms of the temperature uniformity show that over the 2 × 2 m area temperature uniformity of simulator system’s light distribution (1ºC) is almost two times better than the IEC 60891 standard requirements (±2ºC). Next, PV modules were electrically stabilized according to the IEC 61215-2 standard requirement’s (stability test) to reduce the fluctuations in their electrical performance parameters. Then, using the band pass filters, temperature controlled xenon-based solar simulator system and a reference PV module of the spectral responsivity of PV modules were measured from 400 nm to 1100 nm with 50 nm steps with relative uncertainty of 10<sup>-3</sup> level.
基金supported by the Key Research and Development Projects in Shaanxi Province(Program No.2021GY-306)the Innovation Capability Support Program of Shaanxi(Program No.2022KJXX-41)the Key Scientific and Technological Projects of Xi’an(Program No.2022JH-RGZN-0005).
文摘The accumulation of snow and ice on PV modules can have a detrimental impact on power generation,leading to reduced efficiency for prolonged periods.Thus,it becomes imperative to develop an intelligent system capable of accurately assessing the extent of snow and ice coverage on PV modules.To address this issue,the article proposes an innovative ice and snow recognition algorithm that effectively segments the ice and snow areas within the collected images.Furthermore,the algorithm incorporates an analysis of the morphological characteristics of ice and snow coverage on PV modules,allowing for the establishment of a residual ice and snow recognition process.This process utilizes both the external ellipse method and the pixel statistical method to refine the identification process.The effectiveness of the proposed algorithm is validated through extensive testing with isolated and continuous snow area pictures.The results demonstrate the algorithm’s accuracy and reliability in identifying and quantifying residual snow and ice on PV modules.In conclusion,this research presents a valuable method for accurately detecting and quantifying snow and ice coverage on PV modules.This breakthrough is of utmost significance for PV power plants,as it enables predictions of power generation efficiency and facilitates efficient PV maintenance during the challenging winter conditions characterized by snow and ice.By proactively managing snow and ice coverage,PV power plants can optimize energy production and minimize downtime,ensuring a sustainable and reliable renewable energy supply.
文摘The DC energy produced by photovoltaic （PV） modules can change depending on the cell type, module components and module technology. The cell efficiency, sensitivity of the cell to light, recombination losses and how much the light reflects within the cell will affect the amount of produced energy. In addition, the energy produced will change depending on what wavelength light and how much can be transmitted through the front glass and encapsulant and how much light is reflected from back encapsulant and back cover. The front glass transmissivity, patterned surface and existence of ARC （anti-reflective coating） are all very important. In this research project, 14 modules were tested： 4 modules Glass/Glass （Perc Mono Cell）, 4 modules Glass/Ceramic （Perc Mono Cell）, 2 modules Glass/Glass bifacial （HIT Cell）, 1 module Standard （Framed, Mono-n type Cell）, 2 modules Standard （Framed, Poly Cell）, 1 module Standard （Framed, Perc Mono Cell）. This paper compares the normalized Wh/Wp ratios of the different modules under low irradiance （morning and afternoon light） and analyzes and investigates the obtained results as per the cell type used, module components and module technology.
基金supported by the National Natural Science Foundation of China (52273180,62104075,and 52425307)the Wuhan National Laboratory for Optoelectronics (WNLO)Funds for Innovation。
文摘Large-area flexible organic photovoltaic(OPV)modules are challenging to achieve high power conversion efficiency(PCE).Electrical shunts or shortages generally occur in large-area OPV modules due to the ultrathin(100-200 nm)and soft active layers.Improving the surface smoothness of bottom transparent electrode will be able to suppress the shunts and shortages.In this work,we report a method to fabricate smooth and flexible transparent electrodes based on thin silver film,and further to fabricate efficient large-area flexible OPV modules.The fabricated thin silver transparent electrodes simultaneously have high conductivity,high optical transmittance,good mechanical flexibility and low surface roughness.Humidity exposure(h.e.)treatment on MoO_(3)effectively facilitates the continuous growth of the thin transparent silver electrode.6 nm silver film on MoO_(3)(h.e.)on plastic substrate shows a transmittance up to 89%,a sheet resistance of 15Ω/sq,and a low surface roughness with a rootmean-square value of 0.276 nm.Furthermore,52-cm^(2)flexible organic solar modules(15 subcells)showed a certified PCE of 12.66%.Furthermore,a 1350 cm^(2)flexible component assembled by 25 pieces of 52-55 cm^(2)modules showed certified PCE of 12.10%with an open-circuit voltage of 62.85 V.
基金supported by the Gansu Provincial Department of Education Industry Support Plan Project(2025CYZC-018).
文摘In order to address the challenges posed by complex background interference,high miss-detection rates of micro-scale defects,and limited model deployment efficiency in photovoltaic(PV)module defect detection,this paper proposes an efficient detection framework based on an improved YOLOv11 architecture.First,a Re-parameterized Convolution(RepConv)module is integrated into the backbone to enhance the model’s sensitivity to fine-grained defects—such as micro-cracks and hot spots—while maintaining high inference efficiency.Second,a Multi-Scale Feature Fusion Convolutional Block Attention Mechanism(MSFF-CBAM)is designed to guide the network toward critical defect regions by jointly modeling channel-wise and spatial attention.This mechanism effectively strengthens the specificity and robustness of feature representations.Third,a lightweight Dynamic Sampling Module(DySample)is employed to replace conventional upsampling operations,thereby improving the localization accuracy of small-scale defect targets.Experimental evaluations conducted on the PVEL-AD dataset demonstrate that the proposed RMDYOLOv11 model surpasses the baseline YOLOv11 in terms of mean Average Precision(mAP)@0.5,Precision,and Recall,achieving respective improvements of 4.70%,1.51%,and 5.50%.The model also exhibits notable advantages in inference speed and model compactness.Further validation on the ELPV dataset confirms the model’s generalization capability,showing respective performance gains of 1.99%,2.28%,and 1.45%across the same metrics.Overall,the enhanced model significantly improves the accuracy of micro-defect identification on PV module surfaces,effectively reducing both false negatives and false positives.This advancement provides a robust and reliable technical foundation for automated PV module defect detection.
基金This work was funded by the National Natural Science Foundation of China(No.52172205).
文摘Perovskite solar cells(Pero-SCs)exhibited a bright future for the next generation of photovoltaic technology because of their high power conversion efficiency(PCE),low cost,and simple solution process.The certified laboratory-scale PCE has reached 25.7%referred to small scale(<0.1 cm^(2))of Pero-SCs.However,with the increase of the area to module scale,the PCE drops dramatically mainly due to the inadequate regulation of growing large-area perovskite films.Therefore,there is a dire need to produce high-quality perovskite films for large-area photovoltaic modules.Herein,we summarize the recent advances in perovskite photovoltaic modules(PPMs)with particular attention paid to the coating methods,as well as the growth regulation of the high-quality and large-area perovskite films.Furthermore,this study encompasses future development directions and prospects for PPMs.
文摘As a clean and efficient renewable energy source,solar energy has been rapidly applied worldwide.The growth rate of China's installed capacity ranks first in the world.However,the life span of photovoltaic(PV)modules is 25 to 30 years,and the rapid development of installed capacity indicates that a large number of PV modules will be decommissioned in the future.Therefore,the ongoing treatment of the scrapped PV waste cells in the near future requires urgent plans and countermeasures.Proper recycling and disposal of decommissioned PV modules is a practical requirement for the sustainable development of the country and industry.Crystalline silicon(c-Si)solar cells currently occupy 85%-90%of the market share,and some scholars have begun to seek the utilization pathways of the waste Si in and outside the PV industry.In this paper,the research status of the separation and recycling process of crystalline Si PV modules is reviewed,and the recycling ways of crystalline silicon are particularly focused on.In addition,the current bottlenecks in the PV recycling industry in China are analyzed and some suggestions on the sustainable development of the PV industry are proposed.
基金Supported in part by the National Natural Science Foundation of China under Grant 51977117.
文摘Defects may occur in photovoltaic(PV)modules during production and long-term use,thereby threatening the safe operation of PV power stations.Transient thermography is a promising defect detection technology;however,its detection is limited by transverse thermal diffusion.This phenomenon is particularly noteworthy in the panel glasses of PV modules.A dynamic thermography testing method via transient thermography and Wiener filtering deconvolution optimization is proposed.Based on the time-varying characteristics of the point spread function,the selection rules of the first-order difference image for deconvolution are given.Samples with a broken grid and artificial cracks were tested to validate the performance of the optimization method.Compared with the feature images generated by traditional methods,the proposed method significantly improved the visual quality.Quantitative defect size detection can be realized by combining the deconvolution optimization method with adaptive threshold segmentation.For the same batch of PV products,the detection error could be controlled to within 10%.
文摘As an alternative to conventional encapsulation concepts for a double glass photovoltaic(PV)module,we introduce an innovative ionomer-based multi-layer encapsulant,by which the application of additional edge sealing to prevent moisture penetration is not required.The spontaneous moisture absorption and desorption of this encapsulant and its raw materials,poly(ethylene-co-acrylic acid)and an ionomer,are analyzed under different climatic conditions in this work.The relative air humidity is thermodynamically the driving force for these inverse processes and determines the corresponding equilibrium moisture content(EMC).Higher air humidity results in a larger EMC.The homogenization of the absorbed water molecules is a diffusion-controlled process,in which temperature plays a dominant role.Nevertheless,the diffusion coefficient at a higher temperature is still relatively low.Hence,under normal climatic conditions for the application of PV modules,we believe that the investigated ionomer-based encapsulant can“breathe”the humidity:During the day,when there is higher relative humidity,it“inhales”(absorbs)moisture and restrains it within the outer edge of the module;then at night,when there is a lower relative humidity,it“exhales”(desorbs)the moisture.In this way,the encapsulant protects the cell from moisture ingress.
基金This research is funded by Prince Sattam BinAbdulaziz University,Grant Number IF-PSAU-2021/01/18921.
文摘Renewable energy sources are gaining popularity,particularly photovoltaic energy as a clean energy source.This is evident in the advancement of scientific research aimed at improving solar cell performance.Due to the non-linear nature of the photovoltaic cell,modeling solar cells and extracting their parameters is one of the most important challenges in this discipline.As a result,the use of optimization algorithms to solve this problem is expanding and evolving at a rapid rate.In this paper,a weIghted meaN oF vectOrs algorithm(INFO)that calculates the weighted mean for a set of vectors in the search space has been applied to estimate the parameters of solar cells in an efficient and precise way.In each generation,the INFO utilizes three operations to update the vectors’locations:updating rules,vector merging,and local search.The INFO is applied to estimate the parameters of static models such as single and double diodes,as well as dynamic models such as integral and fractional models.The outcomes of all applications are examined and compared to several recent algorithms.As well as the results are evaluated through statistical analysis.The results analyzed supported the proposed algorithm’s efficiency,accuracy,and durability when compared to recent optimization algorithms.
文摘The paper identifies and analyzes the geographical and temporal variability of solar energy in Kuwait. The fundamental solar trigonometric model has been modified to estimate daily and hourly solar radiation on horizontal surfaces on the basis of the more readily available meteorological data. The results demonstrate that Kuwait has an abundance of solar energy capability. An overview of the production and consumption of electrical energy, installed capacity, and peak loads in Kuwait is also presented. Finally, it is shown how the power produced from the photovoitaic （PV） cells depends on the solar radiation. The proposed PV module is made up of a combination of series and parallel cells to increase power, while the IoV characteristic and output power of the module each month may be obtained from the model.
基金This research was funded by the National Key Research and Development Program of China:Newton Fund-China-UK Research and Innovations Bridges(No.2016YFE0124500).
文摘Based on the recent development of renewable energy utilization technology,in addition to centralized photovol-taic power plants,distributed photovoltaic power generation systems represented by building-integrated photo-voltaic systems are frequently employed for power supply.Therefore,in the architectural design,the double-glass photovoltaic module used in the integrated photovoltaic building system puts forward a higher load-bearing capa-city requirement and the corresponding simplified method of carrying capacity check.This article focuses on the simplified method of checking the bearing capacity of the four-sided simply supported double-glass photovoltaic module.First,the principle of equivalent stiffness is used to calculate the effective thickness.Then,the rationality of this approach is verified by comparing the bending states of sandwich panels under different shear moduli.The double-glass photovoltaic module is equivalent to a single-layer board,and its effectiveness is verified by compar-ing the impact test results of the double-glass photovoltaic module with the results of the single-layer board.But the comparison with the test results shows that,from the perspective of architectural design,the effective thick-ness results in this paper can ensure that the building structure has sufficient bearing capacity,but the four-side simply supported boundary theory cannot fully reflect the calculation of the bearing capacity of the four-side clamped double-glass photovoltaic module.
文摘This study proposes a solution for optimizing the distance between a solar module and reflector for an indoor energy harvesting system.It is a process in which energy(ambient light)is captured and converted directly into electricity.Inside a building,this energy could be used to supply power to wide range of portable equipment or offset other electrical energy usage and associated costs.The proposed reflector element was designed and tested in a real indoor environment to confirm its effectiveness.A distance⁃optimization method for the placement of a polycrystalline photovoltaic(PV)module and a mirror was described,and the performance characteristics of the system were investigated qualitatively through visual observation and quantitatively through measuring voltage and ampere values.The solar PV system with a reflector element displayed a 10%increase in voltage when compared with that without.As the distance between PV module and the reflector increased,the voltage and ampere reading decreased,thus the distance was optimized to gain maximum readings.Various studies employing reflectors have also showed increases in voltage readings with different designs,suggesting that reflectors are economically viable optical elements that can boost the voltage output of a PV module.In practice,the distance⁃optimized PV module can be placed in buildings with extended indoor lighting duration away from disrupting building activity.
文摘This paper proposed a new function of photovoltaic thermal(PVT)module to produce nocturnal cool water not just only generating electrical power and hot water during daytime.Experimental tests were carried out under Chiang Mai tropical climate with a 200 Wp monocrystalline PVT module having dimensions of 1.601 m×0.828 m connected with two water tanks each of 60 L taken for hot and cool water storages.The module was facing south with 18o inclination.The electrical load was a 200 W halogen lamp.From experiments,by taking the module as a nocturnal radiative cooling surface,the cool water temperature in the cool storage tank could be reduced 2℃–3℃each night and the temperature could be reduced from 31.5℃to 22.1℃within 4 consecutive days.The cool water at approximately 23℃was also used to cool down the PVT module from noon when the PVT module temperature was rather high,and then the module temperature immediately dropped around 5℃and approximately 10%increase of electrical power could be achieved.A set of mathematical models was also developed to predict the PVT module temperature and the hot water temperature including the cool water temperature in the storage tanks during daytime and nighttime.The simulated results agreed well with the experimental data.
文摘The utilization of unused rooftops is a promising solution to meet the growing energy needs of urban areas.This study identifies the strategic locations for installing photovoltaic(PV)systems and assesses the energy production in Nador,Morocco,comparing various PV modules based on sunlight,while also integrating an economic analysis.A key innovation of this study lies in the novel application of LiDAR(Light Detection and Ranging)point clouds combined with photogrammetric restitution,enabling the construction of a 3D model of buildings.A Boolean multicriteria analysis was implemented to determine the effective surface area of each roof,considering param-eters,such as slope,orientation,shadow,and accessibility,while excluding unsuitable buildings.A substantial area of 336 ha suitable for solar systems was identified,representing 61%of the total area of existing structures,with an average annual irradiation of 1,413.71 kWh/m^(2).The CIS(copper/indium/selenium)PV module stands out as an attractive option,offering an energy capacity of 168.56 MWp and significant energy production of 311.35 GWh.Their moderate initial cost of 376.95 million USD makes themfinancially appealing with a feasible return on investment within 10 years.Environmentally,the CIS module contributes notably to reduced CO_(2) emissions,thereby mitigating its environmental impact.By implementing the CIS module,solar energy production is expected to significantly exceed the estimated demand of the urban population.The data were integrated into a Geographic Information System to target roofs suitable for solar panels,forming the basis of an accurate solar cadastre.This study actively contributes to shaping a sustainable energy landscape by promoting environment-friendly solutions,thereby playing a role in transitioning to a more sustainable energy future in Nador.
基金supported by the National Key Research and Development Program of China(No.2022YFB4201000).
文摘The consumption of buildings represents a considerable proportion of global carbon emissions and energy consumption.Building-integrated photovoltaics(BIPV)technology is an important means of reducing emissions and consumption.However,the intricacy and complexity inherent in the design of BIPV systems,particularly in the context of complex urban environments,present a significant challenge to the advancement of BIPV technology.In this study,an enhanced methodology for the design and simulation of BIPV systems is proposed and validated.The methodology proposed comprises four key parts:shadow calculation based on polygon cutting and projection,building photovoltaic resource assessment based on irradiance heat maps,automatic arrangement of photovoltaic modules based on parallel scan lines algorithm,and power generation simulation of BIPV system based on the simulation of modules,cables,and inverters.The methodology was applied and validated through three case studies,with two additional comparisons between proposed method and professional software to assess both the accuracy and efficiency of the proposed method.A thorough analysis of the case study and comparison results further confirms that the proposed design method achieves high precision and accuracy.This method offers valuable guidance for the design and simulation of BIPV power plants.
