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Journal articles on the topic 'Photovoltaic modelling'

Author: Grafiati

Published: 4 May 2024

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1

Ramos Hernanz, J. A., J. J. Campayo Martín, I. Zamora Belver, J. Larrañaga Lesaka, E. Zulueta Guerrero, and E. Puelles Pérez. "Modelling of Photovoltaic Module." Renewable Energy and Power Quality Journal 1, no. 08 (April 2010): 1186–90. http://dx.doi.org/10.24084/repqj08.619.

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2

Nakada, Takeshi, Cao Dong-Hui, Makoto Kimura, and Hsien Chi-Yu. "Study on Optical Servo System (Modelling for Photovoltaic Effect in PLZT Element)." Journal of Robotics and Mechatronics 5, no. 4 (August 20, 1993): 338–43. http://dx.doi.org/10.20965/jrm.1993.p0338.

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This paper deals with the design of an electrical model for the photovoltaic effect in a PLZT element to estimate, in advance, the performance of an optical actuator consisting of PLZT elements. The results of the basic experiment on the photovoltaic effect are shown, and they indicate that a parallel circuit including a current source, a resistance and a capacitance may be applicable to an electrical model for the photovoltaic effect, under the consideration of the lumped system. Then, the step response of the photovoltage is obtained theoretically according to the electrical model proposed. Since the theoretical results agree well with the results of the basic experiment, the electrical model proposed can be considered to be valid for practical use. Important aspects of the design of an exact model are also pointed out.

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Katan, Ramzye, Vassilios G. Agelidis, and Chem V. Nayar. "Pspice Modelling of Photovoltaic Arrays." International Journal of Electrical Engineering & Education 32, no. 4 (October 1995): 319–32. http://dx.doi.org/10.1177/002072099503200407.

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PSPICE modelling of photovoltaic arrays A detailed model of a photovoltaic array written in PSPICE is presented in this paper. The powerful graphics post-processor that accompanies the software program is used to display array characteristics as a function of certain parameters such as insulation and temperature. Advantages include model capability to incorporate data taken from any commercially available solar panel. This is demonstrated in detail through a simple example.

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Abu Hamed, Tareq, Nadja Adamovic, Urs Aeberhard, Diego Alonso-Alvarez, Zoe Amin-Akhlaghi, Matthias Auf der Maur, Neil Beattie, et al. "Multiscale in modelling and validation for solar photovoltaics." EPJ Photovoltaics 9 (2018): 10. http://dx.doi.org/10.1051/epjpv/2018008.

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Photovoltaics is amongst the most important technologies for renewable energy sources, and plays a key role in the development of a society with a smaller environmental footprint. Key parameters for solar cells are their energy conversion efficiency, their operating lifetime, and the cost of the energy obtained from a photovoltaic system compared to other sources. The optimization of these aspects involves the exploitation of new materials and development of novel solar cell concepts and designs. Both theoretical modeling and characterization of such devices require a comprehensive view including all scales from the atomic to the macroscopic and industrial scale. The different length scales of the electronic and optical degrees of freedoms specifically lead to an intrinsic need for multiscale simulation, which is accentuated in many advanced photovoltaics concepts including nanostructured regions. Therefore, multiscale modeling has found particular interest in the photovoltaics community, as a tool to advance the field beyond its current limits. In this article, we review the field of multiscale techniques applied to photovoltaics, and we discuss opportunities and remaining challenges.

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Zhen, Yan, Wu Zuyu, Zhu Ninghui, Yuan Ligen, and Chen jing Yu. "MATLAB modelling of double sided photovoltaic cell module." Power Electronics and Drives 6, no. 1 (January 1, 2021): 12–25. http://dx.doi.org/10.2478/pead-2021-0002.

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Abstract In this paper, the equatorial coordinate system is taken as the celestial coordinates, the double-sided photovoltaic module irradiance model is established by using the MATLAB simulation software, and the double-sided photovoltaic module irradiance model is combined with the photovoltaic module model (Jianhui (2001)) to form the mathematical model of the real-time generation system of double-sided photovoltaic modules. The effectiveness of the simulation model was verified by building an experimental platform, and the output characteristics of the optimal line spacing between the double-sided p-v module and the single-sided p-v module were further tested and compared.

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Alghanem, Hussah, and Alastair Buckley. "Global Benchmarking and Modelling of Installed Solar Photovoltaic Capacity by Country." Energies 17, no. 8 (April 10, 2024): 1812. http://dx.doi.org/10.3390/en17081812.

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Setting solar photovoltaic capacity targets and implementing supportive policies is a widespread strategy among nations aiming to achieve decarbonisation goals. However, policy implementation without a thorough understanding of the intricate relationship between social, economic, and land-use factors and solar photovoltaic deployment can lead to unintended consequences, including over- or underdeployment and failure to reach targets. To address this challenge, an investigation was conducted into the relationship between 36 factors and solar photovoltaic deployment across 143 countries from 2001 to 2020 using correlation analysis and principal component analysis. From these factors, five key variables were identified that collectively explain 79% of the year-to-year variation in photovoltaic capacity. Using these variables, a neural network model was constructed, enabling the estimation of capacity additions by country with an error of less than 10%. Additionally, a solar photovoltaic deployment index was developed, serving as a benchmark for comparing a country’s actual historical photovoltaic deployment to similar nations. Furthermore, the model’s utility in evaluating the impact of solar photovoltaic policies was explored. Through three distinct use cases—forecasting solar photovoltaic capacity additions, developing a solar photovoltaic deployment index, and assessing the impact of solar photovoltaic policies—the model emerges as a potentially powerful tool for governments and policy makers to assess solar photovoltaic deployment effectively and formulate strategies to promote sustainable solar energy growth.

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Muhammad-Sukki, Firdaus, Haroon Farooq, Siti Hawa Abu-Bakar, Jorge Alfredo Ardila-Rey, Nazmi Sellami, Ciaran Kilpatrick, Mohd Nabil Muhtazaruddin, Nurul Aini Bani, and Muhammad Zulkipli. "Static concentrating photovoltaic modelling using MATLAB." Journal of Physics: Conference Series 2053, no. 1 (October 1, 2021): 012003. http://dx.doi.org/10.1088/1742-6596/2053/1/012003.

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Abstract The world has recorded an increasing interest and staggering investment in renewable technology in the last two decades, specifically in solar photovoltaic (PV). Concentrating PV (CPV) is one of PV’s technology advancements and is gaining popularity for integration in a building. Various CPV designs are currently being investigated by researchers. The aim of this paper is to design and develop a MATLAB programme that can predict the electrical properties of a static concentrator that is designed with a ±40° acceptance angle. The programme was utlizied to determine the angular characteristics of the static concentrator between acceptance angle of -50° and 50°. It is proposed that the optoelectronic gain, Copto-e values be incorporated into the model to simulate a CPV design. The incident angle values (within ±50°) were chosen to demonstrate that the static concentrator could collect solar energy within its designed acceptance angle of ±40°. The current-voltage and power-voltage characteristics are generated for each simulation, and critical parameters such as the maximum power, open-circuit voltage, short-circuit current, and optoelectronic gain were identified and measured. The programme was found to be able to determine the electrical properties for the static concentrator.

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Ibrahim, Noor ‘Adilah. "MODELLING OF INTRADAY PHOTOVOLTAIC POWER PRODUCTION." Malaysian Journal of Science 40, no. 2 (June 30, 2021): 105–24. http://dx.doi.org/10.22452/mjs.vol40no2.8.

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Photovoltaic (PV) productions should occur within a time interval of sunlight. Time mismatches are detected between sunrise and first production hour as well as sunset and last production hour in a transmission system operator, Amprion, Germany. Hence, in this paper, we investigate this effect using an additive function of two seasonalities and a stochastic process. Both seasonalities are based on the mimicked locations, corrected by a weighing scale, depending on the first and last production hours' coordinates. The result shows that the proposed deterministic model could capture the effect of sunrise and sunset. Also, the dynamics of random components are sufficiently explained by an autoregressive process of order two. Finally, the Normal Inverse Gaussian distribution is shown as the best distribution in explaining noise behaviour, particularly heavy tails in the production's residuals, compared to the Gaussian distribution.

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Agarwal, Varuni, and Dr Gagan Singh. "Modelling of Photovoltaic using MATLAB/SIMULINK." International Journal of Engineering Trends and Technology 23, no. 9 (May 25, 2015): 465–69. http://dx.doi.org/10.14445/22315381/ijett-v23p288.

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Wang, Stanley, Oscar Wilkie, Jenny Lam, Rob Steeman, Wilson Zhang, Kah Sing Khoo, Sim Chun Siong, and Hannes Rostan. "Bifacial Photovoltaic Systems Energy Yield Modelling." Energy Procedia 77 (August 2015): 428–33. http://dx.doi.org/10.1016/j.egypro.2015.07.060.

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11

Marques Lameirinhas, Ricardo A., João Paulo N. Torres, and João P. de Melo Cunha. "A Photovoltaic Technology Review: History, Fundamentals and Applications." Energies 15, no. 5 (March 1, 2022): 1823. http://dx.doi.org/10.3390/en15051823.

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Photovoltaic technology has become a huge industry, based on the enormous applications for solar cells. In the 19th century, when photoelectric experiences started to be conducted, it would be unexpected that these optoelectronic devices would act as an essential energy source, fighting the ecological footprint brought by non-renewable sources, since the industrial revolution. Renewable energy, where photovoltaic technology has an important role, is present in 3 out of 17 United Nations 2030 goals. However, this path cannot be taken without industry and research innovation. This article aims to review and summarise all the meaningful milestones from photovoltaics history. Additionally, an extended review of the advantages and disadvantages among different technologies is done. Photovoltaics fundamentals are also presented from the photoelectric effect on a p-n junction to the electrical performance characterisation and modelling. Cells’ performance under unusual conditions are summarised, such as due to temperature variation or shading. Finally, some applications are presented and some project feasibility indicators are analysed. Thus, the review presented in this article aims to clarify to readers noteworthy milestones in photovoltaics history, summarise its fundamentals and remarkable applications to catch the attention of new researchers for this interesting field.

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12

RUBAN, Nikolay, Vladimir RUDNIK, Igor RAZZHIVIN, and Anton KIEVEC. "A Hybrid Model of Photovoltaic Power Stations for Model Ling Tasks of Large Power Systems." Electrotehnica, Electronica, Automatica 69, no. 4 (November 15, 2021): 43–49. http://dx.doi.org/10.46904/eea.21.69.4.1108005.

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Renewable energy sources are being actively penetrated in the global energy sector, with the main growth being achieved by new photovoltaic power stations. At the same time, the influence of photovoltaic power stations on the operation of power systems is known. This is primarily due to the inconstancy of the weather, which leads to a decrease in the output of each specific photovoltaic panel and power station as a whole. To study the effect of partial shading of photovoltaic panels on the parameters of its operation, various models of the current-voltage characteristics of photovoltaic cells are used in the world, while detailed two-diode models show the best results. The use of detailed models allows to get complete information about the processes in a variety of photovoltaic panels of a power station, as well as other elements of it, such as a voltage converter. This makes it possible to assess the impact of these processes on the external power system. However, for detailed modelling of large photovoltaic power stations as part of power systems, it is necessary to use powerful software and hardware systems. Such systems include the Hybrid real-time power system simulator. This simulator is a multiprocessor installation that provides a solution to the aggregate model of the power system through the use of three approaches to modelling: digital, analogue and physical. The article presents the results of experimental studies of software and hardware tools for modelling a photovoltaic power station, developed on the basis of a hybrid approach to modelling electric power systems.

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Vashisht, Bhavya, Ahmad Belal Anwar, and Gaurav Gautam. "Modelling and Simulation of Solar Panel." International Journal of Advance Research and Innovation 2, no. 2 (2014): 96–102. http://dx.doi.org/10.51976/ijari.221414.

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This paper aims to model a solar photovoltaic system with built in MPPT(Maximum Power Point Tracker) for Photovoltaic (PV) system. It provides theoretical study of PV systems and modelling techniques using equivalent electric circuits. MATLAB simulations verify each individual block as well as combined simulation of model containing solar panel, MPPT and Cuk converter. The results validate that MPPT can significantly increase the efficiency and the performance of PV system.

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14

Saleem, Adeel, Nain Liu, Hu Junjie, Atif Iqbal, and Ali Waqar. "Comprehensive equation-based design of photovoltaic module to investigate its physical parameters and operating conditions used for small application." Measurement and Control 53, no. 5-6 (February 26, 2020): 850–58. http://dx.doi.org/10.1177/0020294020905040.

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Solar photovoltaic is clean and green energy for renewable power generation, which plays a vital role to fulfil the power shortage for any region. Photovoltaic array is quite expensive and has non-linear characteristics. Under varying conditions, it takes much time to give operating curves. Before mount photovoltaic for any application or at any location, there is a vital phase of analysis, modelling, and simulation of the photovoltaic system, which helps to understand the actual behaviour in real conditions. This paper emphasizes on the stepwise procedure of modelling and simulation for the photovoltaic panel, which is proposed to use for the small application. The proposed system provides a reliable, accurate, and simple method to model the photovoltaic system. It takes a flexible solar panel of 180 W as a reference model. The I–V and P–V characteristics are further investigated at different operating conditions such as a variation of irradiance from 1000 to 400 W/m2, variation of temperature from 15 to 70 °C, and vary shunt resistance from higher to low values. The equation-based modelling of the photovoltaic system is built in the MATLAB/Simulink. This methodology allows investigating the photovoltaic system on different operating conditions (varying temperature and irradiance) and physical parameters (ideality factor, series and shunt resistance) along with partial shading effect.

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Lehr, Jonathan, Malte Langenhorst, Raphael Schmager, Simon Kirner, Uli Lemmer, Bryce S. Richards, Chris Case, and Ulrich W. Paetzold. "Energy yield modelling of perovskite/silicon two-terminal tandem PV modules with flat and textured interfaces." Sustainable Energy & Fuels 2, no. 12 (2018): 2754–61. http://dx.doi.org/10.1039/c8se00465j.

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16

Gerber, J. D., M. A. Benecke, F. J. Vorster, and E. E. Van Dyk. "Thermal modelling of low concentrator photovoltaic systems." Journal of Energy in Southern Africa 24, no. 1 (February 1, 2013): 51–55. http://dx.doi.org/10.17159/2413-3051/2013/v24i1a3007.

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Efficient thermal management of low concentrator photovoltaic (LCPV) systems will allow maximizing of the power output and may also substantially prolong operating lifetime. For this reason, it is necessary to develop a thorough understanding of the thermal transfer and dissipation mechanisms associated with an LCPV system. The LCPV system under consideration uses a 7-facet reflector optical design, providing a geometric concentration ratio of approximately 4.85. The LCPV system succeeded in increasing the short circuit current from 1A to 5.6A, demonstrating an effective concentration ratio of approximately 4.75. LCPV system temperatures in excess of 80°C were recorded without a thermal management system. A basic thermal model was developed and assessed under various environmental conditions. The effectiveness of a heat-sink, which reduced the temperature difference between the LCPV receiver temperature and the ambient temperature by 37.5%, was also evaluated. The results discussed in this paper will assist the future development of techniques aimed at reducing the high temperatures associated with LCPV systems.

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17

Al Tarabsheh, Anas, Muhammad Akmal, and Mohammed Ghazal. "Series Connected Photovoltaic Cells—Modelling and Analysis." Sustainability 9, no. 3 (March 7, 2017): 371. http://dx.doi.org/10.3390/su9030371.

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18

Kácsor, Enikő. "Modelling Bidding Behaviour on German Photovoltaic Auctions." Energies 14, no. 2 (January 19, 2021): 516. http://dx.doi.org/10.3390/en14020516.

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In this article renewable energy support allocation through different types of auctions are assessed. The applied methodological framework is auction theory, based on the rules governing the German photovoltaic (PV) Feed-in Premium (FIP) auctions. The work focuses on bidding strategies based on an extended levelised cost of electricity (LCOE) methodology, comparing two different set of rules: uniform price and pay-as-bid. When calculating the optimal bids an iteration is developed to find the Nash-equilibrium optimal bidding strategy. When searching for the bid function, not only strictly monotone functions, but also monotone functions are considered, extending the framework typically applied in auction theory modelling. The results suggest that the PV support allocation in the German auction system would be more cost efficient using the uniform pricing rule, since many participants bid above their true valuation in the pay-as-bid auction Nash-equilibrium. Thus from a cost minimising perspective, the application of uniform pricing rule would be a better policy decision.

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Zainal, Nurul Afiqah, Ajisman, and Ahmad Razlan Yusoff. "Modelling of Photovoltaic Module Using Matlab Simulink." IOP Conference Series: Materials Science and Engineering 114 (February 2016): 012137. http://dx.doi.org/10.1088/1757-899x/114/1/012137.

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Mao, Mingxuan, Siyu Chen, and Jinyue Yan. "Modelling pavement photovoltaic arrays with cellular automata." Applied Energy 330 (January 2023): 120360. http://dx.doi.org/10.1016/j.apenergy.2022.120360.

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Rahman, Tasmiat, and Kristel Fobelets. "Efficient tool flow for 3D photovoltaic modelling." Computer Physics Communications 193 (August 2015): 124–30. http://dx.doi.org/10.1016/j.cpc.2015.03.016.

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22

Argul, F. J., M. Castro, A. Delgado, J. Carpio, and J. Peire. "Software modelling of grid-connected photovoltaic buildings." Progress in Photovoltaics: Research and Applications 11, no. 4 (2003): 255–73. http://dx.doi.org/10.1002/pip.484.

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23

Fajarin, Rio Agustian, and Eko Adhi Setiawan. "Analysis Corrected Performance Ratio on Photovoltaic Through Four Temperature Cell Model." E3S Web of Conferences 67 (2018): 01026. http://dx.doi.org/10.1051/e3sconf/20186701026.

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To measure the performance of photovoltaic system, performance ratio is a common indicator to used. However, the performance ratio calculation is based on various methods to determine the value of photovoltaic temperature. The modelling used in this research is sandia, Ross and Smokler, Schott and Faiman modeling. Each model have different coefficient values from each others. Thus, each modelling has different performance ratio values that will be compared between others. From this comparison we will get the best modelling that closest to the real conditions.

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Usmonov, Shukurillo, Atif Iqbal, Adeel Saleem, Kholiddinov Ilkhombek Khosiljonovich, Uzbekov Mirsoli Odiljanovich, Eraliev Khojiakbar Abdinabi Ugli, and Mamadaliev Musulmonkul Imomali Ugli. "Modelling and implementation of a photovoltaic system through improved voltage control mechanism." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 1 (March 1, 2024): 412. http://dx.doi.org/10.11591/ijpeds.v15.i1.pp412-421.

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Renewable energy dependence is increasing daily due to the decaying of conventional energy sources. Another primary reason is the increment of pollution as well as global warming. Various alternate energy sources are being used to replace conventional ones. Among them, the prominent photovoltaic source provides clean and green energy. This research focuses on energy production through the photovoltaic source. The photovoltaic cells combination is used along with the boost converter to get the maximal power output. The maximum power point tracker was designed and implemented to obtain the optimal power from the photovoltaic cells, which do not provide the desired results. Therefore, the voltage control method is an alternative to the maximum power point tracker. Both methodologies compared at different intensities of solar light. The load is attached to the photovoltaic output to test its reliability and smooth performance. The system is designed using MATLAB simulation, and the desired results are obtained.

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Samiul Islam, Md, K. Sobayel, Ammar Al-Kahtani, M. A. Islam, Ghulam Muhammad, N. Amin, Md Shahiduzzaman, and Md Akhtaruzzaman. "Defect Study and Modelling of SnX3-Based Perovskite Solar Cells with SCAPS-1D." Nanomaterials 11, no. 5 (May 5, 2021): 1218. http://dx.doi.org/10.3390/nano11051218.

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Recent achievements, based on lead (Pb) halide perovskites, have prompted comprehensive research on low-cost photovoltaics, in order to avoid the major challenges that arise in this respect: Stability and toxicity. In this study, device modelling of lead (Pb)-free perovskite solar cells has been carried out considering methyl ammonium tin bromide (CH3NH3SnBr3) as perovskite absorber layer. The perovskite structure has been justified theoretically by Goldschmidt tolerance factor and the octahedral factor. Numerical modelling tools were used to investigate the effects of amphoteric defect and interface defect states on the photovoltaic parameters of CH3NH3SnBr3-based perovskite solar cell. The study identifies the density of defect tolerance in the absorber layer, and that both the interfaces are 1015 cm−3, and 1014 cm−3, respectively. Furthermore, the simulation evaluates the influences of metal work function, uniform donor density in the electron transport layer and the impact of series resistance on the photovoltaic parameters of proposed n-TiO2/i-CH3NH3SnBr3/p-NiO solar cell. Considering all the optimization parameters, CH3NH3SnBr3-based perovskite solar cell exhibits the highest efficiency of 21.66% with the Voc of 0.80 V, Jsc of 31.88 mA/cm2 and Fill Factor of 84.89%. These results divulge the development of environmentally friendly methyl ammonium tin bromide perovskite solar cell.

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Manni, Mattia, Alessandro Nocente, Martin Bellmann, and Gabriele Lobaccaro. "Multi-Stage Validation of a Solar Irradiance Model Chain: An Application at High Latitudes." Sustainability 15, no. 4 (February 6, 2023): 2938. http://dx.doi.org/10.3390/su15042938.

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Evaluating how the sources of uncertainty in solar modelling (e.g., input parameters, developed model chain) can influence the results’ accuracy is one of the main challenges when applied at high latitudes. In this study, a multi-stage validation workflow is implemented around five main stages: data acquisition, data quality check, solar radiation modelling, photovoltaic energy modelling, and experimental validation. Different data sources such as satellite observations, numerical reanalysis, and on-site ground measurements are considered as inputs, while the outcomes from each step of the model chain (e.g., decomposition modelling, transposition modelling, photovoltaic energy modelling) are compared against observations recorded from the solar radiation network at the Norwegian University of Science and Technology (NTNU-Solarnet) in Trondheim (Norway). In the first and second validation stages, the decomposition and transposition models with measured input parameters show the best accuracy indicators, but they do not fulfill the validation criteria. Conversely, in the third validation stage, the photovoltaic energy models with on-site ground measurements as inputs are experimentally validated. In conclusion, at high latitudes, the most accurate results are obtained when monitored solar irradiation data are used instead of satellite observations and numerical reanalysis. Furthermore, the shortest model chain is preferred, with equal data sources.

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Nicola, Aurelian, Cosmin Vitan, Cristian Aron, Daniel Matei, and Ionela Grecea. "Study of photovoltaic systems using modelling and simulation." MATEC Web of Conferences 342 (2021): 03007. http://dx.doi.org/10.1051/matecconf/202134203007.

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The article presents mathematical models and simulation programs, made in MATLAB - Simulink, of the main components within photovoltaic system. For the continuous supply of electricity to consumers, in addition to photovoltaic panels are used electric accumulators and static converters, which have the role of converting direct current into alternating current or alternating current into direct current and to monitor and control the charging–discharge batteries process. The assembly consisting of all the elements presented above, interconnected and dimensioned to operate in a single system, is modelled and simulated and the results obtained reflect the limits but especially offers the possibility of choosing the optimal solution for a park of energy production based on solar radiation.

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Berwal, Dhruv, and Monika Kaushik. "Modelling and simulation of photovoltaic cell in MATLAB." Ecology, Environment and Conservation 28, no. 08 (2022): S33—S41. http://dx.doi.org/10.53550/eec.2022.v28i08s.006.

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Photovoltaic cell has unique features of harnessing solar energy by absorbing the falling irradiance on its surface and converting it into useful electrical energy. In this study a robust model is built with Tag tools in Simulink environment based on mathematical equations considering all the parameters including shunt and series resistance etc. which affects the performance of the photovoltaic cell. The study shows the variation in irradiance at cell temperature of 25 oC. The variation in current is also significant from 2A to 7.98A. Additionally at STC, the irradiance of 1000W/m2 and temperature variation from 25 oC to 75 oC shows a significant drop in voltage with insignificant current increment leading to occurrence in power drop.

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Logerais, Pierre-Olivier, Olivier Riou, Mohamed Ansoumane Camara, and Jean-Félix Durastanti. "Study of Photovoltaic Energy Storage by Supercapacitors through Both Experimental and Modelling Approaches." Journal of Solar Energy 2013 (September 4, 2013): 1–9. http://dx.doi.org/10.1155/2013/659014.

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The storage of photovoltaic energy by supercapacitors is studied by using two approaches. An overview on the integration of supercapacitors in solar energy conversion systems is previously provided. First, a realized experimental setup of charge/discharge of supercapacitors fed by a photovoltaic array has been operated with fine data acquisition. The second approach consists in simulating photovoltaic energy storage by supercapacitors with a faithful and accessible model composed of solar irradiance evaluation, equivalent electrical circuit for photovoltaic conversion, and a multibranch circuit for supercapacitor. Both the experimental and calculated results are confronted, and an error of 1% on the stored energy is found with a correction largely within ±10% of the transmission line capacitance according to temperature.

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Mazur, Marek, Michał Józwik, Krzysztof Malowany, and Łukasz Szeląg. "Modelling of 3D solar module based on flexible photovoltaic panels." Photonics Letters of Poland 14, no. 2 (July 1, 2022): 19. http://dx.doi.org/10.4302/plp.v14i2.1139.

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This paper presents a new concept of a photovoltaic module. The increase in efficiency is obtained by using a three-dimensional form of flexible photovoltaic panels with an additional reflecting mirror. A flexible panel is distributed over the entire inner surface of the cylinder, while the mirror distributes the flux on its surface. The comparison of selected solutions for a mirror shape is realized with numerical simulations. The irradiance results for absorbed flux are discussed on the ground of possible improvements. Full Text: PDF ReferencesM.Y. Levy, "Maturity of Photovoltaic Solar-Energy Conversion" (InTech 2011). CrossRef L. M. Fraas, L.D. Partain, "Solar Cells and Their Applications" (Wiley 2010). CrossRef X. Li, P. Li, Z. Wu, D. Luo, H-Y. Yu, Z-H. Lu, "Review and perspective of materials for flexible solar cells", Materials Reports: Energy, 1 (2021). CrossRef N. Gakkhar, M.K. Soni, and S. Jakhar, "Experimental and Theoretical Analysis of Hybrid Concentrated Photovoltaic/thermal System Using Parabolic Trough Collector", Appl. Therm. Eng. 171, 115069 (2020). CrossRef V. Kumar, R.L. Shrivastava, S.P. Untawale, Fresnel lens: "A promising alternative of reflectors in concentrated solar power", Renew. Sust. Energ. Rev. 44 (2015). CrossRef https://lambdares.com/tracepro/ DirectLink

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Alfonso-Solar, David, Carlos Vargas-Salgado, Carlos Sánchez-Díaz, and Elías Hurtado-Pérez. "Small-Scale Hybrid Photovoltaic-Biomass Systems Feasibility Analysis for Higher Education Buildings." Sustainability 12, no. 21 (November 9, 2020): 9300. http://dx.doi.org/10.3390/su12219300.

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Applications of renewable electricity in cities are mostly limited to photovoltaics, and they need other renewable sources, batteries, and the grid to guarantee reliability. This paper proposes a hybrid system, combining biomass and photovoltaics, to supply electricity to educational buildings. This system is reliable and provides at least 50% of electricity based on renewable sources. Buildings with small (<500 kW) installed power based on renewables, mainly biomass, are usually expensive. Besides, in urban areas, photovoltaic capacity is limited due to roof availability. This paper analyzes different configurations, meeting these constraints to obtain an economically feasible solution based on photovoltaic-biomass modelling of small size hybrid systems. The technology used for biomass energy valorization is a fluidized bed gasification power plant, which has been modelled with real data obtained from experimental tests and previous research projects. Thereby, real costs and electric efficiency are included in the model. The techno-economic feasibility analysis using HOMER software with metered real load curves from an educational building has been modelled. The results of the model show that hybrid renewable systems are very feasible in the scenario of 50% of electricity contribution, however, higher contribution (>70%) implies high electricity costs.

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Konovalov, Yu V., and A. N. Khaziev. "Insolation calculations of a photovoltaic power plant taking into account location-based and weather parameters." iPolytech Journal 26, no. 3 (October 8, 2022): 439–50. http://dx.doi.org/10.21285/1814-3520-2022-3-439-450.

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In this study, we set out to develop a methodology for calculating insolation of a photovoltaic power plant taking into account the maximum number of significant input parameters and its territorial adaptation. To this end, simulation modelling implemented in the MATLAB environment was used. Functional possibilities for the synthesis of models using existing elements with the integration of algorithms and modelling results between the blocks of the Simulink sub-system were used. In terms of significant input parameters, geographical coordinates, local time, tilt of the receiving solar panel, modelled day, atmospheric transparency coefficient, albedo and azimuthal angle were considered. A computer model of a photovoltaic power plant was developed for investigating the operation of photovoltaic cells depending on the coordinates of their installation, geometric parameters of solar panels, as well as the temperature and reflectivity of the environment. The performed modelling of the photovoltaic power plant operation visualised graphic dependences of insolation on the tilt of the solar panel, atmospheric transparency coefficient, geographical coordinates of the object and the current month or day. According to the analysis, 15 variations in the solar panel tilt modifies insolation by 10–15%, while variations in the atmospheric transparency coefficient result in 30–50% variations of insolation. As a result, the daily insolation values for the city of Angarsk throughout a year can be modified by 1000–6500 W/m2. The presented results of investigating a regionally adapted photovoltaic power plant demonstrated the need for accounting for location-based and weather parameters during the calculation of insolation for determining the applicability of a plant. The proposed mathematical model for calculating insolation of a photovoltaic power plant can be used for the design and optimization of power supply systems in combination with the specified photovoltaic solar power plants.

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Guerra, Gerardo, Pau Mercade-Ruiz, Gaetana Anamiati, and Lars Landberg. "Long-term PV system modelling and degradation using neural networks." EPJ Photovoltaics 14 (2023): 30. http://dx.doi.org/10.1051/epjpv/2023018.

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The power production of photovoltaic plants can be affected throughout its operational lifetime by multiple losses and degradation mechanisms. Although long-term degradation has been widely studied, most methodologies assume a specific degradation behaviour and require detailed metadata. This paper presents a methodology for the calculation of long-term degradation of a photovoltaic plant based on neural networks. The goal of the neural network is to model the photovoltaic plant's power production as a function of environmental conditions and time elapsed since the plant started operating. A big advantage of this method with respect to others is that it is completely data-driven, requires no additional information, and makes no assumptions related to degradation behaviour. Results show that the model can derive a long-term degradation trend without overfitting to shorter-term effects or abrupt changes in year-to-year operation.

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Bastidas-Rodríguez, Juan D., Carlos Andrés Ramos-Paja, and Sergio Ignacio Serna-Garcés. "Improved modelling of bypass diodes for photovoltaic applications." Alexandria Engineering Journal 61, no. 8 (August 2022): 6261–73. http://dx.doi.org/10.1016/j.aej.2021.11.055.

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Antonini, A., M. Stefancich, J. Coventry, and A. Parretta. "Modelling of Compound Parabolic Concentrators for Photovoltaic Applications." International Journal of Optics and Applications 3, no. 4 (August 1, 2013): 40–52. http://dx.doi.org/10.5923/j.optics.20130304.02.

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Almonacid-Olleros, G., G. Almonacid, J. I. Fernandez-Carrasco, and Javier Medina Quero. "Opera.DL: Deep Learning Modelling for Photovoltaic System Monitoring." Proceedings 31, no. 1 (November 20, 2019): 50. http://dx.doi.org/10.3390/proceedings2019031050.

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In this paper we present Deep Learning (DL) modelling to forecast the behaviour and energy production of a photovoltaic (PV) system. Using deep learning models rather than following the classical way (analytical models of PV systems) presents an outstanding advantage: context-aware learning for PV systems, which is independent of the deployment and configuration parameters of the PV system, its location and environmental conditions. These deep learning models were developed within the Ópera Digital Platform using the data of the UniVer Project, which is a standard PV system that was in place for the last twenty years in the Campus of the University of Jaén (Spain). From the obtained results, we conclude that the combination of CNN and LSTM is an encouraging model to forecast the behaviour of PV systems, even improving the results from the standard analytical model.

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Chin, Chia Seet, Bih Lii Chua, Pei Yi Lim, Hui Hwang Goh, and Kenneth Tze Kin Teo. "MODELLING AND CONTROL OF PARTIALLY SHADED PHOTOVOLTAIC ARRAYS." ICTACT Journal on Soft Computing 03, no. 01 (October 1, 2012): 459–66. http://dx.doi.org/10.21917/ijsc.2013.0069.

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Valizadeh, M., F. Sarhaddi, and F. Sobhnamayan. "Numerical Modelling of a Concentrating Photovoltaic Thermal Collector." International Journal of Automotive and Mechanical Engineering 16, no. 2 (July 4, 2019): 6482–501. http://dx.doi.org/10.15282/ijame.16.2.2019.3.0490.

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In this paper, the performance evaluation of a concentrating photovoltaic thermal (CPVT) collector is carried out. By writing energy, balance for the various components of CPVT collector, a set of nonlinear equations is obtained to calculate the temperature of different parts of the system. The electrical parameters of the CPVT collector are calculated by the four-parameter model of current-voltage. The simulation results of the present study are in good accordance with the previous studies data. The results show that with the fluid velocity increase from 0.08 to 0.43 m/s, the electrical efficiency and thermal efficiency increase by 1.05% and 2.2%, respectively. The thermal efficiency is enhanced by 9.4% as the receiver width is increased from 0.06 to 0.2 m. With the increase of diameter pipe from 0.017 to 0.06 m an increase of 2.75% and 3.9% is observed in the thermal and electrical efficiencies, respectively. The thermal efficiency has an ascending/descending trend with the increase of collector length. The increase of fluid inlet temperature from 273.15 to 363.15 K reduces the thermal and electrical efficiencies by 7.3% and 4.05%, respectively. The increase of the incident beam radiation from 300 to 1000 W/m2 enhances the electrical efficiency by 4%, while the thermal efficiency has an ascending/descending trend. The ambient temperature increase causes an increase of 5.1% in thermal efficiency. The effect of receiver width and ambient temperature on electrical efficiency is negligible.

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Md Sabudin, Siti Nurashiken, and Norazaliza Mohd Jamil. "Parameter Estimation in Mathematical Modelling for Photovoltaic Panel." IOP Conference Series: Materials Science and Engineering 536 (June 10, 2019): 012001. http://dx.doi.org/10.1088/1757-899x/536/1/012001.

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Ravindiran, M., and P. Shankar. "Spintronic based superlattice structure modelling for photovoltaic application." Superlattices and Microstructures 75 (November 2014): 79–88. http://dx.doi.org/10.1016/j.spmi.2014.06.010.

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Al-Messabi, Naji, Cindy Goh, and Yun Li. "Heuristic grey-box modelling for photovoltaic power systems." Systems Science & Control Engineering 4, no. 1 (January 1, 2016): 235–46. http://dx.doi.org/10.1080/21642583.2016.1228485.

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Gruber, D. P., G. Meinhardt, and W. Papousek. "Modelling the light absorption in organic photovoltaic devices." Solar Energy Materials and Solar Cells 87, no. 1-4 (May 2005): 215–23. http://dx.doi.org/10.1016/j.solmat.2004.08.011.

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Gupta, S., and M. Chandrashekar. "A unified approach to modelling photovoltaic powered systems." Solar Energy 55, no. 4 (October 1995): 267–85. http://dx.doi.org/10.1016/0038-092x(95)00033-n.

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Coronado-Mendoza, Alberto, José L. Bernal-Agustín, and José A. Domínguez-Navarro. "Photovoltaic boost converter system with dynamic phasors modelling." Electric Power Systems Research 81, no. 9 (September 2011): 1840–48. http://dx.doi.org/10.1016/j.epsr.2011.05.008.

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Poullikkas, Andreas. "Modelling of auctioning mechanism for solar photovoltaic capacity." International Journal of Sustainable Energy 35, no. 9 (September 2014): 875–86. http://dx.doi.org/10.1080/14786451.2014.953162.

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Al-Badi, A., H. Yousef, T. Al Mahmoudi, M. Al-Shammaki, A. Al-Abri, and A. Al-Hinai. "Sizing and modelling of photovoltaic water pumping system." International Journal of Sustainable Energy 37, no. 5 (January 12, 2017): 415–27. http://dx.doi.org/10.1080/14786451.2016.1276906.

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Gupta, S., and M. Chandrashekar. "A unified approach to modelling photovoltaic powered systems." Fuel and Energy Abstracts 37, no. 3 (May 1996): 201. http://dx.doi.org/10.1016/0140-6701(96)88807-2.

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Teyabeen, Alhassan Ali, and Ali Elseddig Jwaid. "Modelling, Validation, and Simulation of Solar Photovoltaic Modules." Electrica 23, no. 1 (January 6, 2022): 48–60. http://dx.doi.org/10.5152/electrica.2022.21164.

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Karamov, Dmitriy N., Ildar R. Muftahov, and Alexey V. Zhukov. "Increasing Storage Battery Lifetime in Autonomous Photovoltaic Systems with Power Generation Structure Varying Throughout the Year." E3S Web of Conferences 289 (2021): 05006. http://dx.doi.org/10.1051/e3sconf/202128905006.

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This paper substantiates the use of photovoltaic systems with power generation structure varying throughout the year. This research topic emerged from an in-depth analysis of the operating modes of autonomous photovoltaic systems located in Siberia and the Russian Far East. The paper gives a detailed and concise description of a methodology for modelling such a system with account of issues relating to the operational sustainability of diesel and solar power stations in autumn and winter. In spring and summer, autonomous photovoltaic systems operate using the standard power accumulation algorithm whereas the diesel power station serves as a stand-by power source thereby increasing the lifetime of storage batteries, reducing the number of their replacements and cutting down costs through discounting. The overall levelized cost of energy drops off significantly too. The paper presents the results of modelling an actual autonomous energy system in which a solar power station equipped with storage batteries is planned to be constructed in the near future. The modelling results revealed that using a structure varying throughout the year increases storage battery lifetime from 6 to 11 years, and there is only one (instead of three) replacement throughout the life of the batteries. The obtained results have been taken into consideration and are to be put into practice in setting up the photovoltaic system under review. The presented approach is versatile and can be used to analyze various photovoltaic systems.

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Chai, Jasman Y. H., Basil T. Wong, and Jaka Sunarso. "An Opto-Electro-Thermal Model for Black-Silicon Assisted Photovoltaic Cells in Thermophotovoltaic Applications." Photonics 10, no. 5 (May 11, 2023): 565. http://dx.doi.org/10.3390/photonics10050565.

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Black silicon (b-Si)-assisted photovoltaic cells have textured b-Si surfaces, which have excellent light-trapping properties. There has been a limited amount of work performed on the theoretical modelling of b-Si photovoltaic cells, and hence, in this work, a coupled optical-electrical-thermal model has been proposed for the simulation of b-Si photovoltaic cells. In particular, the thermal aspects in b-Si photovoltaic cells have not been discussed in the literature. In the proposed model, the finite-difference time-domain (FDTD) method was used to study the optical response of the b-Si photovoltaic cell. Semiconductor equations were used for the electrical modelling of the cell. For the thermal model, the Energy Balance Transport Model was used. The developed model was used to simulate b-Si photovoltaic cells under thermophotovoltaic sources. The impacts of heat generation on the electrical performance of thermophotovoltaic cells are discussed. Simulation results from this study showed that black silicon layer improved efficiency and power output in thermophotovoltaic cells compared to thermophotovoltaic cells with no surface texture. In addition, heat generation due to Joule heating and electron thermalization in b-Si-assisted thermophotovoltaic cells reduced the open-circuit voltage and electrical performance.

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