Relevant bibliographies by topics / Modelling photovoltaics

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Modelling photovoltaics'

Author: Grafiati
Published: 25 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Modelling photovoltaics"

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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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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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Gondek, E., and P. Karasiński. "High reflectance materials for photovoltaics applications: analysis and modelling." Journal of Materials Science: Materials in Electronics 24, no. 8 (March 21, 2013): 2934–43. http://dx.doi.org/10.1007/s10854-013-1194-2.

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Few, Sheridan, Jarvist M. Frost, and Jenny Nelson. "Models of charge pair generation in organic solar cells." Physical Chemistry Chemical Physics 17, no. 4 (2015): 2311–25. http://dx.doi.org/10.1039/c4cp03663h.

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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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Schiro, Fabio, Alberto Benato, Anna Stoppato, and Nicola Destro. "Improving photovoltaics efficiency by water cooling: Modelling and experimental approach." Energy 137 (October 2017): 798–810. http://dx.doi.org/10.1016/j.energy.2017.04.164.

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Schmager, Raphael, Malte Langenhorst, Jonathan Lehr, Uli Lemmer, Bryce S. Richards, and Ulrich W. Paetzold. "Methodology of energy yield modelling of perovskite-based multi-junction photovoltaics." Optics Express 27, no. 8 (April 3, 2019): A507. http://dx.doi.org/10.1364/oe.27.00a507.

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Bednar, N., A. Caviasca, P. Sevela, N. Severino, and N. Adamovic. "Modelling of flexible thin-film modules for building and product integrated photovoltaics." Solar Energy Materials and Solar Cells 181 (July 2018): 38–45. http://dx.doi.org/10.1016/j.solmat.2017.12.035.

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Wang, Chenguang, Guangcai Gong, Huan Su, and Chuck Wah Yu. "Dimensionless and thermodynamic modelling of integrated photovoltaics–air source heat pump systems." Solar Energy 118 (August 2015): 175–85. http://dx.doi.org/10.1016/j.solener.2015.04.036.

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Papargyri, Lamprini, Marios Theristis, Bernhard Kubicek, Thomas Krametz, Christoph Mayr, Panos Papanastasiou, and George E. Georghiou. "Modelling and experimental investigations of microcracks in crystalline silicon photovoltaics: A review." Renewable Energy 145 (January 2020): 2387–408. http://dx.doi.org/10.1016/j.renene.2019.07.138.

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Dissertations / Theses on the topic "Modelling photovoltaics"

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Turban, David. "Electronic structure modelling of singlet fission in organic photovoltaics." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/271889.

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Singlet fission is a multiple-exciton-generation process found in organic materials that could help to enhance the efficiency of future photovoltaic devices, by overcoming the Shockley-Queisser limit. In spite of considerable experimental and theoretical attention, different aspects of the process are still not fully understood. The main reason for this is that singlet fission is characterised by a complex interplay of electronic states, vibrational modes and electrostatic screening effects. In this thesis we employ \emph{ab initio} electronic structure techniques to study the excitations involved in fission in molecular crystals and dimers, using the well-studied pentacene molecule as a reference system. Linear-scaling density functional theory (LS-DFT) is used to model the influence of the crystal environment on charge-transfer (CT) configurations in the pentacene molecular crystal. We derive a general dipole correction scheme that allows us to eliminate finite-size effects from the calculations. We find that CT energies are significantly lowered by the response of the crystal environment, bringing them close to the energies of local excitations. This result lends support to the idea that the photoexcited precursor state to fission has significant CT character, and emphasises the role played by CT configurations in fission in the crystal. Furthermore, we use DFT to parametrise a linear vibronic coupling Hamiltonian of a covalent dimer of pentacene, forming the basis for many-body quantum dynamics calculations of the interplay between electronic and vibrational degrees of freedom. This reveals an interesting role for symmetry in fission in such dimers. Due to their high symmetry, couplings that could enable fission are precluded at the ground-state geometry. However, dynamic symmetry breaking by vibrational modes opens up an efficient pathway for fission, via an avoided crossing mediated by virtual CT configurations. Finally, we explore the influence of different side-groups and solvent environments on fission in pentacene dimers. To this end, we employ DFT with both implicit and explicit solvent models, combined with large-scale calculations to achieve sufficient sampling of solvent-solute configurations.
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Cole, Ian R. "Modelling CPV." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/18050.

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A methodology for the simulation of CPV systems is presented in four distinct sections: input, optics, uncertainty and electrical output. In the input section, existing methods of describing the solar irradiation that is incident at the primary optical element of a CPV system are discussed, the inadequacies of the existing methods are explored and conditions of validity for their use drawn. An improved and spectrally extended model for a variable, spatially resolved solar image is arrived at. The model is used to analyse losses at the primary concentration device stage under varying solar profiles and air masses. A contextual analysis of an example Seattle based CPV system operating with constant solar tracking errors of 0.3-0.4° show a corresponding loss in isolation available to the optical system of 5-20%, respectively. In the optics section, an optical ray trace model is developed specifically for this work. The optical ray trace model is capable of the spectrally resolved ray tracing of all insolation input models discussed above. Plano-convex and Fresnel lenses are designed, investigated and compared using each of the insolation models described in the input section. Common CPV component material samples for the plano-convex and Fresnel lenses are analysed for their spectrally resolved optical properties. The computational expense of high resolution spatial and spectral modelling is addressed by means of a spectrally weighted banding method. The optical properties parameter spectral weighting method can be applied to any arbitrary spectral band. The bands used herein correspond to the active ranges of a typical triple-junction solar cell. Each band shows a different spectral dependency. Banded beam irradiation proportions are shown to change by as much as 10% in absolute terms within the air mass range of 1 to 3. Significant variations in spectrally banded illumination profiles are found with the extended light source insolation model. These banded variations are mostly unaccounted for with the use of approximated insolation models, further compounding the argument for extended light source Sun models in CPV system simulations. In the uncertainty section, the limitations of the manufacturing process are explored. Manufacturing tolerance errors from manufacturer datasheets are presented. These production uncertainties are used in the design of an erroneous plano-convex lens which is then analysed with the optical modelled presented in the optics section and compared to the ideal design specification. A 15% variation in maximum intensity value is found alongside a linear shift in the focal crossover point of approximately 0.2mm, although the optical efficiency of the lens remains the same. Framing manufacture errors are investigated for a square Fresnel lens system resulting in a linear shift of the focal centre of approximately 0.85mm. A process for the calculation of wind loading force on a CPV array is also presented. The process uses real 2 second resolution wind data and highlights the chaotic nature of loading force. A maximum force of 1.4kN was found on an example day for a 3m by 3m by 0.1m cuboid (i.e. CPV array); corresponding to a wind speed of approximately 13m/s, which is well within the typical operating range of a CPV tracking system. In the electrical output section, a spatially resolved solar cell model is identified and used for the investigation of solar cell performance under the inhomogeneous cell illumination profiles produced in the uncertainty section. Significant differences in the maximum power point of the cell IVs are found for the ideal and erroneous system illumination profiles. Approximately, a 15% variation is found in the plano-convex lens example, with a relative difference of 4% attributable to illumination profile distortion, and a 6% variation in the module framing component example. These results further highlight the need for the consideration of production uncertainties in CPV system simulation.
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Wu, Xiaofeng. "Fast spatially-resolved electrical modelling and quantitative characterisation of photovoltaic devices." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/18018.

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An efficient and flexible modelling and simulation toolset for solving spatially-resolved models of photovoltaic (PV) devices is developed, and its application towards a quantitative description of localised electrical behaviour is given. A method for the extraction of local electrical device parameters is developed as a complementary approach to the conventional characterisation techniques based on lumped models to meet the emerging demands of quantitative spatially-resolved characterisation in the PV community. It allows better understanding of the effects of inhomogeneities on performance of PV devices. The simulation tool is named PV-Oriented Nodal Analysis (PVONA). This is achieved by integrating a specifically designed sparse data structure and a graphics processing unit (GPU)-based parallel conjugate gradient algorithm into a PV-oriented numerical solver. It allows more efficient high-resolution spatially-resolved modelling and simulations of PV devices than conventional approaches based on SPICE (Simulation Program with Integrated Circuit Emphasis) tools in terms of computation time and memory usage. In tests, mega-sub-cell level test cases failed in the latest LTSpice version (v4.22) and a PSpice version (v16.6) on desktop PCs with mainstream hardware due to a memory shortage. PVONA efficiently managed to solve the models. Moreover, it required up to only 5% of the time comparing the two SPICE counterparts. This allows the investigation of inhomogeneities and fault mechanisms in PV devices with high resolution on common computing platforms. The PVONA-based spatially-resolved modelling and simulation is used in various purposes. As an example, it is utilised to evaluate the impacts of nonuniform illumination profiles in a concentrator PV unit. A joint optical and electrical modelling framework is presented. Simulation results suggest that uncertainties introduced during the manufacturing and assembly of the optical components can significantly affect the performance of the system in terms of local voltage and current distribution and global current-voltage characteristics. Significant series resistance and shunt resistance effects are found to be caused by non-uniformity irradiance profiles and design parameters of PV cells. The potential of utilising PVONA as a quality assessment tool for system design is discussed. To achieve quantitative characterisation, the PVONA toolset is then used for developing a 2-D iterative method for the extraction of local electrical parameters of spatially-resolved models of thin-film devices. The method employs PVONA to implement 2-D fitting to reproduce the lateral variations in electroluminescence (EL) images, and to match the dark current-voltage characteristic simultaneously to compensate the calibration factor in EL characterisations. It managed to separate the lateral resistance from the overall series resistance effects. The method is verified by simulations. Experimental results show that pixellation of EL images can be achieved. Effects of local shunts are accurately reproduced by a fitting algorithm. The outcomes of this thesis provide valuable tools that can be used as a complementary means of performance evaluation of PV devices. After proper optimisation, these tools can be used to assist various analysis tasks during the whole lifecycle of PV products.
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Milshyn, Vladyslav. "Modelling the Effect of Photovoltaics and Battery Storage on Electricity Demand : Implications for Tariff Structures." Thesis, Uppsala universitet, Industriell teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-301407.

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This project examines the implications of the photovoltaic power generation as well as the battery storage systems on the distribution network tariff structures. Different types of existing distribution tariffs were applied to the residential households’ demand patterns. Several scenarios of demand profiles were theoretically investigated. First scenario included households’ consumption under current situation without on-site power production and any storage, second scenario concerned penetration of average size of solar panel installations and the last demand profile with maximum possible size of photovoltaic panels complemented with battery storage use. The distribution tariffs included in the comparison are: power based tariff and two energy based tariffs, one with flat-rate and another with time-of-use structure. Distribution tariffs were normalized with the aim to research the implications of the on-site production and storage use. Normalization factors were used when comparing financial bills from the households under above mentioned scenarios. Energy distribution tariffs have higher potential for households to save on their energy bill with the introduction of the on-site solar power utilization. On the other hand power tariff provides higher incentive for the implementation of the demand response strategies in the households.
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Widén, Joakim. "System Studies and Simulations of Distributed Photovoltaics in Sweden." Doctoral thesis, Uppsala universitet, Fasta tillståndets fysik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-132907.

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Grid-connected photovoltaic (PV) capacity is increasing worldwide, mainly due to extensive subsidy schemes for renewable electricity generation. A majority of newly installed systems are distributed small-scale systems located in distribution grids, often at residential customers. Recent developments suggest that such distributed PV generation (PV-DG) could gain more interest in Sweden in the near future. With prospects of decreasing system prices, an extensive integration does not seem impossible. In this PhD thesis the opportunities for utilisation of on-site PV generation and the consequences of a widespread introduction are studied. The specific aims are to improve modelling of residential electricity demand to provide a basis for simulations, to study load matching and grid interaction of on-site PV and to add to the understanding of power system impacts. Time-use data (TUD) provided a realistic basis for residential load modelling. Both a deterministic and a stochastic approach for generating different types of end-use profiles were developed. The models are capable of realistically reproducing important electric load properties such as diurnal and seasonal variations, short time-scale fluctuations and random load coincidence. The load matching capability of residential on-site PV was found to be low by default but possible to improve to some extent by different measures. Net metering reduces the economic effects of the mismatch and has a decisive impact on the production value and on the system sizes that are reasonable to install for a small-scale producer. Impacts of large-scale PV-DG on low-voltage (LV) grids and on the national power system were studied. Power flow studies showed that voltage rise in LV grids is not a limiting factor for integration of PV-DG. Variability and correlations with large-scale wind power were determined using a scenario for large-scale building-mounted PV. Profound impacts on the power system were found only for the most extreme scenarios.
Felaktigt tryckt som Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 711
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Shepero, Mahmoud. "Modelling the Penetration Effect of Photovoltaics and Electric Vehicles on Electricity Demand and Its Implications on Tariff Structures." Thesis, Uppsala universitet, Industriell teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-295426.

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The shift towards more renewable energy sources is imminent, this shift is accelerated by the technological advancement and the rise of environmental awareness. However, this shift causes major operational problems to the current grid that is optimised for unidirectional power flow. Besides the operational problems, there are problems related to the optimal tariff scheme. In this thesis a study on the effect of the adoption of photovoltaic solar panels and the electric vehicles on the households' electricity demand profile is presented. The change on the demand profile is going to affect the current tariffs, this effect is also explored in this thesis. In this thesis real life data on household electricity use and photovoltaic power production was used. For electric vehicle charging simulated data was used. Besides that, a demand response scheme for electric vehicle is proposed in order to estimate the savings potential of this demand response on the electricity bill. The results show that the change in the demand profile is not merely a change in the total energy consumption, but it is a change in the power peaks as well. The peaks change significantly in condominiums and rental apartments, in this households' type it increases by around 80%, while in detached and row houses little change is noticed on the peaks, yet they still increase by around 10%. The demand response shows around 1- 12% savings in the distribution bill depending on the household, however it showed more incentives for condominiums and rental apartments. The current distribution tariffs perform asymmetrically with the various households. However, one tariff ensures 11.7 MSEK financial revenue for the distribution system operator, this is higher than the other tariffs' revenue by more than 28.5%. The new prospective situation requires totally different tariffs that ensure a balance between firstly a reasonable revenue for the distribution system operator and secondly incentives for consumers to self produce electricity as well as to reduce their peaks.
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Gabr, Ahmed. "Modelling and Characterization of Down-Conversion and Down-Shifting Processes for Photovoltaic Applications." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35048.

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Down-conversion (DC) and down-shifting (DS) layers are optical layers mounted on the top surface of a solar cell that can potentially increase the solar cell efficiency. The effect of DC and DS layers to enhance the performance of single-junction solar cells has been studied by means of simulation and experimental work. In this thesis a model is developed to study the effects of DC and DS layers by modifying the incident spectrum. The effect of the layers on ideal cells as well as commercial grade silicon and CIGS solar cells that are modeled in a device simulator is examined. Silicon nanocrystals (Si-nC) embedded in a silicon dioxide matrix to act as a DS layer were fabricated and characterized at McMaster University as part of this project. The measured optical properties as well as the photoluminescence measurements are used as input parameters to the optical model. The enhancement due to the Si-nC when coupled to silicon and CIGS solar cells is explored. Beside the DC and DS effects, there is also disturbance to the surface reflections due to the addition of a new layer to the top surface and is referred to as antireflection coating (ARC) effect. For the simulated silicon solar cell under the standard AM1.5G spectrum (1000W/m2), a maximum increase in Jsc of 8.4% is achieved for a perfect DS layer as compared to a reference cell, where 7.2% is due to ARC effect and only 1.2% is due to DS effect. On the other hand, there is an increase in Jsc of 19.5% for the CIGS solar cell when coupled to a perfect DS layer. The DS effect is dominant with 18%, while the ARC effect contributes only 1.5% to the total Jsc enhancement. Accurately characterizing DS layers coupled to solar cell requires knowledge of optical properties of the complete structure. Internal quantum efficiency is an important tool for characterizing DS systems, nevertheless, it is rarely reported. In addition, the ARC effect is not experimentally decoupled from the DS effect. In this work, a straightforward method for calculating the active layer contribution that minimizes error by subtracting optically-modeled electrode absorption from experimentally measured total absorption.
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au, A. carr@aip org, and Anna Judith Carr. "A Detailed Performance Comparison of PV Modules of Different Technologies and the Implications for PV System Design Methods." Murdoch University, 2005. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20050830.94641.

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In designing any power generation system that incorporates photovoltaics (PV) there is a basic requirement to accurately estimate the output from the proposed PV array under operating conditions. PV modules are given a power rating at standard test conditions(STC) of 1000Wm-2, AM1.5 and a module temperature of 25 °C, but these conditions do not represent what is typically experienced under outdoor operation. It is well known that different PV technologies have different seasonal patterns of behaviour. These differences are due to the variations in spectral response, the different temperature coefficients of voltage and current and, in the case of amorphous silicon (a-Si) modules, the extra effect of photo-degradation and thermal annealing. In this study a novel method has been used to obtain highly accurate energy output data from six different PV modules representing five different technologies: Single crystal silicon (c-Si). Poly-crystalline silicon (p-Si) (2 modules). Triple junction amorphous silicon (3j, a-Si). Copper indium diselenide (CIS). Laser grooved buried contact (LGBC, c-Si) crystalline silicon. This data set includes all the associated meteorological parameters and back-of-module temperatures. The monitoring system allows the simultaneous measurement of six different modules under long-term outdoor operation, which in turn allows a direct comparison of the performance of the modules. Each of the modules has been deployed for at least one year, which provides useful information about the seasonal behaviour of each technology. This data set ultimately provides system designers and consumers with valuable information on the expected output of these different module types in climates like that of Perth, Western Australia. The second part of the study uses the output data collected to assess and compare output predictions made by some currently available photovoltaic performance prediction tools or methods. These range from a generalised approach, as used in the Australian Standards, to the commercially available software packages that employ radiation, thermal and PV models of varying complexities. The results of these evaluations provide very valuable information, to PV consumers, about how complex PV output prediction tools need to be to give acceptable results.
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Patrick, Christopher Edward. "Photoemission spectra of nanostructured solar cell interfaces from first principles." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:fa2333ea-7016-4d6f-8d55-aee4178482a6.

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Photovoltaic (PV) technologies could provide abundant, clean and secure energy through the conversion of sunlight into electricity, but currently are too expensive to compete with conventional sources of power. Novel PV devices incorporating nanostructured materials, such as the dye-sensitized solar cell (DSC), have been identified as viable, low-cost alternatives to traditional solar cell designs. In spite of technological progress in the field over the last twenty years, the underlying physics governing DSC operation is still not well understood. In this thesis, first-principles (i.e. parameter-free) calculations are performed with the aim of connecting experimentally-measured photoemission data to the underlying atomistic and electronic structure of interfaces found in DSCs. The principal system under study is the interface between anatase titanium dioxide (TiO2) and the "N3" dye molecule, one of the most widely-investigated device designs in DSC research. Atomistic models of the interface are determined within density-functional theory. Core-level spectra of these interface models are then calculated using a ∆SCF approach. Comparison of the calculations to published experimental data finds that intermolecular interactions have a significant effect on the spectra. Next, the electronic structure of bulk TiO2 and of isolated N3 molecules is calculated using the GW approximation and ∆SCF method respectively. For the former, it is shown that including Hubbard U corrections in the initial Hamiltonian reduces the GW gap by 0.4 eV. These calculations are then used to determine the valence photoemission spectrum of the full interface. By including image-charge effects, thermal broadening and configurational disorder, quantitative agreement with experimentally-measured spectra is demonstrated. In addition to the N3/TiO2 system, calculations of the core-level spectra of the interfaces between TiO2 and H2O and bi-isonicotinic acid are also presented. The thesis concludes with a study of the X2Y3/TiO2 interfaces (X=Sb, Bi; Y=S, Se) found in recently-developed semiconductor-sensitized solar cells.
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Urquhart, Andrew J. "Accuracy of low voltage electricity distribution network modelling." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/21799.

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The connection of high penetrations of new low carbon technologies such as PV and electric vehicles onto the distribution network is expected to cause power quality problems and the thermal capacity of feeder cables may be exceeded. Replacement of existing infrastructure is costly and so feeder cables are likely to be operated close to their hosting capacity. Network operators therefore require accurate simulation models so that new connection requests are not unnecessarily constrained. This work has reviewed recent studies and found a wide range of assumptions and approximations that are used in network models. A number of these have been investigated further, focussing on methods to specify the impedances of the cable, the impacts of harmonics, the time resolution used to model demand and generation, and assumptions regarding the connectivity of the neutral and ground conductors. The calculation of cable impedances is key to the accuracy of network models but only limited data is available from design standards or manufacturers. Several techniques have been compared in this work to provide guidance on the level of detail that should be included in the impedance model. Network modelling results with accurate impedances are shown to differ from those using published data. The demand data time resolution has been shown to affect estimates of copper losses in network cables. Using analytical methods and simulations, the relationship between errors in the loss estimates and the time resolution has been demonstrated and a method proposed such that the accuracy of loss estimates can be improved. For networks with grounded neutral conductors, accurate modelling requires the resistance of grounding electrodes to be taken into account. Existing methods either make approximations to the equivalent circuit or suffer from convergence problems. A new method has been proposed which resolves these difficulties and allows realistic scenarios with both grounded and ungrounded nodes to be modelled. In addition to the development of models, the voltages and currents in a section of LV feeder cable have been measured. The results provide a validation of the impedance calculations and also highlight practical difficulties associated with comparing simulation models with real measurement results.
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Books on the topic "Modelling photovoltaics"

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Beljonne, David, and Jerome Cornil, eds. Multiscale Modelling of Organic and Hybrid Photovoltaics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43874-9.

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Santiago, Silvestre, ed. Modelling photovoltaic systems using PSpice. Chichester: John Wiley, 2002.

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Schweizer, Christian. Modelling photovoltaic systems in urban environments. Leicester: De Montfort University, 2000.

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Rodríguez Gallegos, Carlos David. Modelling and Optimization of Photovoltaic Cells, Modules, and Systems. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1111-7.

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Zacharopoulos, Aggelos. Optical design modelling and experimental characterisation of line-axis concentrators for solar photovoltaic and thermal applications. [s.l: The Author], 2001.

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Beljonne, David, and Jerome Cornil. Multiscale Modelling of Organic and Hybrid Photovoltaics. Springer, 2016.

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Modelling of multijunction cascade photovoltaics for space applications. [Cleveland, Ohio?: NASA Lewis Research Center, 1987.

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Center, Lewis Research, ed. Modelling of multijunction cascade photovoltaics for space applications. [Cleveland, Ohio?: NASA Lewis Research Center, 1987.

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United States. National Aeronautics and Space Administration, ed. Computer modelling of aluminum-gallium arsenide/gallium arsenide multilayer photovoltaics. [Washington, D.C.?: National Aeronautics and Space Administration, 1987.

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Castaner, Luis, and Santiago Silvestre. Modelling Photovoltaic Systems Using PSpice. Wiley, 2003.

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Book chapters on the topic "Modelling photovoltaics"

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Thompson, Ian R. "Modelling of Organic Photovoltaics." In Photovoltaic Modeling Handbook, 141–75. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119364214.ch5.

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Cave, James M., and Alison B. Walker. "Modelling Hysteresis in Perovskite Solar Cells." In Photovoltaic Modeling Handbook, 267–78. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119364214.ch10.

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Barla, Eva, Dzitac Simona, and Carja Vasile. "Modelling a Photovoltaic Power Station." In Soft Computing Applications, 41–47. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51992-6_4.

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Krc, Janez, Martin Sever, Benjamin Lipovsek, Andrej Campa, and Marko Topic. "Optical Modelling and Simulations of Thin-Film Silicon Solar Cells." In Photovoltaic Modeling Handbook, 93–140. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119364214.ch4.

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Pagani, Vitor H., Nelson A. Los, Wellington Maidana, Paulo Leitão, Marcio M. Casaro, and Claudinor B. Nascimento. "Soiling Monitoring Modelling for Photovoltaic System." In Lecture Notes in Electrical Engineering, 592–601. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58653-9_57.

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Luque, Antonio. "Back Point Contact Cells Modelling." In Seventh E.C. Photovoltaic Solar Energy Conference, 900–904. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3817-5_160.

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Block, M., D. Bonnet, and F. Zetzsche. "Modelling of Amorphous Thin Film Solar Cells." In Tenth E.C. Photovoltaic Solar Energy Conference, 139–42. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3622-8_36.

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Fara, V. L., and R. Grigorescu. "Stochastic Modelling of a PV System with Small Concentration." In Tenth E.C. Photovoltaic Solar Energy Conference, 494–97. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3622-8_127.

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Gada, Rachit, Ishan Doshi, and Kashinath Patil. "Modelling of Photovoltaic Losses from Available Meteorological Data." In Lecture Notes in Mechanical Engineering, 645–56. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6577-5_62.

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Eltamaly, Ali M., and Hassan M. H. Farh. "PV Characteristics, Performance and Modelling." In Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems, 31–63. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05578-3_2.

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Conference papers on the topic "Modelling photovoltaics"

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Naqavi, A., V. Paeder, T. Scharf, K. Söderström, F. J. Haug, C. Ballif, and H. P. Herzig. "An RCWA Analysis of Solar Cell Back Reflectors: Comparison between Modelling and Experiment." In Optical Nanostructures for Photovoltaics. Washington, D.C.: OSA, 2010. http://dx.doi.org/10.1364/pv.2010.ptuc3.

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Baldus-Jeursen, Christopher, and Siva Sivoththaman. "Thermal modelling of laser processing for silicon photovoltaics." In Photonics North 2011, edited by Raman Kashyap, Michel Têtu, and Rafael N. Kleiman. SPIE, 2011. http://dx.doi.org/10.1117/12.905271.

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Chong, T. K., T. P. White, and K. J. Weber. "Optical Modelling of MAE textured Nanoporous Silicon." In Optical Nanostructures and Advanced Materials for Photovoltaics. Washington, D.C.: OSA, 2014. http://dx.doi.org/10.1364/pv.2014.ptu2c.6.

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Walsh, Aron. "Where Next for Atomistic Modelling of Halide Perovskites?" In 13th Conference on Hybrid and Organic Photovoltaics. València: Fundació Scito, 2021. http://dx.doi.org/10.29363/nanoge.hopv.2021.117.

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Mahto, Rakeshkumar, Samarth Revankar, and Krishnakumarr Velumani. "Improved Modelling Technique for Reconfigurable Photovoltaics with Embedded CMOS." In 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC). IEEE, 2018. http://dx.doi.org/10.1109/pvsc.2018.8547277.

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Boney, C., R. Pillai, D. Starikov, and A. Bensaoula. "Properties and modelling of InGaN for high temperature photovoltaics." In 2012 IEEE 38th Photovoltaic Specialists Conference (PVSC). IEEE, 2012. http://dx.doi.org/10.1109/pvsc.2012.6318104.

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Anta, Juan A., Jesus Idígoras, Lidia Contreras-Bernal, Antonio Riquelme, and Susana Ramos-Terrón. "Small perturbation analysis of perovskite solar cells: feature extraction and modelling." In 10th International Conference on Hybrid and Organic Photovoltaics. Valencia: Fundació Scito, 2018. http://dx.doi.org/10.29363/nanoge.hopv.2018.068.

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Mosconi, Edoardo, Damiano Ricciarelli, Qiong Wang, Christian Wolff, Junming Li, Dieter Neher, Filippo De Angelis, Gian Paolo Suranna, Roberto Grisorio, and Antonio Abate. "Computational modelling of HTM/Perovskite interface: The role of methylammonium cation." In 11th International Conference on Hybrid and Organic Photovoltaics. València: Fundació Scito, 2019. http://dx.doi.org/10.29363/nanoge.hopv.2019.141.

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Tan, N. M. L., V. K. Ramachandaramurthy, and R. N. Mukerjee. "Power compensation control strategy and modelling for photovoltaics based distributed generation." In 3rd IET International Conference on Power Electronics, Machines and Drives (PEMD 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20060114.

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Verkou, Maarten, Zameer Ahmad, Hesan Ziar, Olindo Isabella, and Miro Zeman. "A Multi-layer Modelling Framework for Techno-Socio-Economical Penetration of Photovoltaics." In 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC). IEEE, 2021. http://dx.doi.org/10.1109/pvsc43889.2021.9518714.

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