Solar EnergyPub Date : 2025-02-12DOI: 10.1016/j.solener.2025.113305
Syed Zuhair Abbas Shah , Angga Dito Fauzi
{"title":"Boosting optoelectronic and thermoelectric performance of double perovskite oxide Ba2MgWO6 with Ni substitution: A first-principles study","authors":"Syed Zuhair Abbas Shah , Angga Dito Fauzi","doi":"10.1016/j.solener.2025.113305","DOIUrl":"10.1016/j.solener.2025.113305","url":null,"abstract":"<div><div>Double perovskite oxides are promising materials for green energy production, particularly in solar cells and thermoelectric generators. However, their typically large band gap energy limits their effectiveness. Here, we study the electronic, optical, and thermoelectric performance of double perovskite oxide Ba<sub>2</sub>MgWO<sub>6</sub> with Ni substitution using density functional theory (DFT). Our results show that the band gap energy reduces from 3.17 eV to 1.87 eV by increasing Ni content from 0 to 100%. This tuning of the band gap energy within the visible region remarkably enhances the absorption coefficient (∼10<sup>4</sup> cm<sup>−1</sup>) and the optical conductivity (∼10<sup>15</sup> sec<sup>-1</sup>). Meanwhile, the thermoelectric performance improves, indicated by an increase in the figure of merit from 0.84 to 0.96 at room temperature. These findings suggest new opportunities for optimizing the electronic, optical, and thermoelectric properties of double perovskite oxides for energy-related applications.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"289 ","pages":"Article 113305"},"PeriodicalIF":6.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143388051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Solar EnergyPub Date : 2025-02-12DOI: 10.1016/j.solener.2025.113322
Keaton J. Brewster , Janna Martinek , Federico Municchi , Winfred J. Arthur-Arhin , Jesse R. Fosheim , Zhiwen Ma , Gregory S. Jackson
{"title":"Reduced order modeling of a fluidized bed particle receiver for concentrating solar power with thermal energy storage","authors":"Keaton J. Brewster , Janna Martinek , Federico Municchi , Winfred J. Arthur-Arhin , Jesse R. Fosheim , Zhiwen Ma , Gregory S. Jackson","doi":"10.1016/j.solener.2025.113322","DOIUrl":"10.1016/j.solener.2025.113322","url":null,"abstract":"<div><div>Oxide particles can serve as both the heat transfer and thermal energy storage (TES) media for next-generation concentrating solar power (CSP) plants where high-temperature TES enables dispatchable electricity from efficient power cycles with firing temperatures above <span><math><mrow><mn>600</mn><mspace></mspace><mo>°</mo><mi>C</mi></mrow></math></span>. Transferring heat to flowing particles at such high temperatures in a MW-scale central tower receiver remains a challenge for the CSP community. For indirect receivers with external walls to contain the particles, maintaining wall temperatures below the limits of structural metal alloys requires high heat transfer coefficients between the wall and the moving particle stream. Bubbling fluidization of downward-flowing particles can sustain high bed-wall heat transfer coefficients (<span><math><mo>></mo></math></span> 1000 W m<sup>−2</sup> K<sup>−1</sup>). Using experimentally calibrated correlations for bed-wall heat transfer and vertical particle dispersion, this study implements an axially discretized zonal model of a counterflow fluidized bed receiver to explore how bubbling fluidization may enable indirect cavity particle receivers. High bed-wall heat transfer coefficients support solar fluxes on angled cavity walls <span><math><mrow><mo>></mo><mn>200</mn></mrow></math></span> kW m<sup>−2</sup> at peak aperture fluxes of 980 kW m<sup>−2</sup> while maintaining external wall temperatures <span><math><mrow><mo><</mo><mn>950</mn><mspace></mspace><mo>°</mo><mi>C</mi></mrow></math></span>. Lateral particle dispersion enables hotter particles near the receiver leading edge to mix with cooler particles further from the leading edge to lower maximum external wall temperatures. Parametric studies identify how mass fluxes, particle dispersion, and solar concentrations impact indirect receiver thermal efficiency and uniformity for a CSP plant. These studies provide a basis for the design of indirect fluidized-bed cavity receivers that can maintain particle outlet temperatures for TES above 750<span><math><mrow><mspace></mspace><mo>°</mo><mi>C</mi></mrow></math></span>.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"289 ","pages":"Article 113322"},"PeriodicalIF":6.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Solar EnergyPub Date : 2025-02-12DOI: 10.1016/j.solener.2025.113313
Shazia Akhtar Dar, Brajendra Singh Sengar
{"title":"Analytical modeling and numerical investigation of grain size effects on polycrystalline perovskite based Thin-Film solar Cells: Performance insights and implications","authors":"Shazia Akhtar Dar, Brajendra Singh Sengar","doi":"10.1016/j.solener.2025.113313","DOIUrl":"10.1016/j.solener.2025.113313","url":null,"abstract":"<div><div>The potential of polycrystalline perovskite solar cells (PSCs) for high efficiency at low production costs has attracted significant interest. However, grain boundaries (GBs) introduce complexities in the polycrystalline structure that can either enhance or diminish device performance. This study examines the effect of grain size on PSC efficiency through analytical modeling and SCAPS-1D simulations. Our findings highlight the critical role of GBs, showing that larger grain sizes generally improve efficiency by extending charge carrier lifetimes and reducing recombination rates. However, there is a saturation point beyond which further increases in grain size yield diminishing returns, affecting key photovoltaic metrics, such as power conversion efficiency (PCE), open-circuit voltage (Voc), short-circuit current density (Jsc), and fill factor (FF). We also investigated the impact of GB defect density on PSC performance, finding that higher defect densities significantly increase recombination rates, thereby reducing overall PCE. These insights emphasize the importance of optimizing grain size and controlling defect densities to enhance the stability and performance of PSCs. Our research provides valuable guidance for improving perovskite-based solar technologies.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"289 ","pages":"Article 113313"},"PeriodicalIF":6.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Solar EnergyPub Date : 2025-02-11DOI: 10.1016/j.solener.2025.113335
Yi-Qiao Yan , Yi-Zhou Zhu , Jian-Yu Zheng
{"title":"Tetraarylthienothiophene: An efficient charge recombination-suppressed center for wide-gap dyes in dye-sensitized solar cells","authors":"Yi-Qiao Yan , Yi-Zhou Zhu , Jian-Yu Zheng","doi":"10.1016/j.solener.2025.113335","DOIUrl":"10.1016/j.solener.2025.113335","url":null,"abstract":"<div><div>To take on the challenge of maintaining high open-circuit voltage (<em>V</em><sub>OC</sub>) while boosting short-circuit current density (<em>J</em><sub>SC</sub>) of auxiliary dyes with restricted spectral response for efficient co-sensitization in dye-sensitized solar cells, three wide-gap organic dyes <strong>YYQ11</strong>-<strong>13</strong> featuring diverse decorations on triphenylamine (TPA) electron donors and thieno[3,2-b]thiophene (TT) π-spacers have been designed and synthesized. Compared with non-modified <strong>D1π6A1</strong>, tethering general hexyloxy chains to the peripheral of TPA donors (<strong>YYQ11</strong>) could raise the power conversion efficiency (PCE) by 10 % while transforming the TT core to tetraarylthienothiophene (TATT) center (<strong>YYQ12</strong>) could even enhance the PCE by 30 %. By joining both embellishments together (<strong>YYQ13</strong>), the PCE could be cumulatively increased by 40 % in comparison to reference <strong>D1π6A1</strong>. Finally, the megamerger <strong>YYQ13</strong> achieved the PCE of 7.54 % under the standard AM 1.5 G irradiation using iodine electrolytes. Studying on the optical property, theoretical calculation and electrochemical impedance spectroscopy revealed that the three-dimensional TATT-based center could effectively elevate both <em>V</em><sub>OC</sub> and <em>J</em><sub>SC</sub> through suppressing charge recombination while the twisted TATT is beneficial for confining the absorption band at ideal wavelength, all that makes it a promising candidate for co-sensitization.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"289 ","pages":"Article 113335"},"PeriodicalIF":6.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comment on: “Performance optimization of lead-free MASnBr3 based perovskite solar cells by SCAPS-1D device simulation” [Solar Energy 249 (2023) 401–413]","authors":"Gyanendra Shankar , Prashant Kumar , Basudev Pradhan","doi":"10.1016/j.solener.2025.113311","DOIUrl":"10.1016/j.solener.2025.113311","url":null,"abstract":"<div><div>This article is a comment on the paper by author Mushtaq et al., (2023) wherein simulation of perovskite solar cells has been carried out using SCAPS-1D. While in the process, they have used invalid input parameters for simulation and consequently reported specious results.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"289 ","pages":"Article 113311"},"PeriodicalIF":6.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Solar EnergyPub Date : 2025-02-11DOI: 10.1016/j.solener.2024.113220
Maggie D. Bailey , Douglas W. Nychka , Manajit Sengupta , Jaemo Yang , Yu Xie , Aron Habte , Soutir Bandyopadhyay
{"title":"Adapting quantile mapping to bias correct solar radiation data","authors":"Maggie D. Bailey , Douglas W. Nychka , Manajit Sengupta , Jaemo Yang , Yu Xie , Aron Habte , Soutir Bandyopadhyay","doi":"10.1016/j.solener.2024.113220","DOIUrl":"10.1016/j.solener.2024.113220","url":null,"abstract":"<div><div>Bias correction is a common preprocessing step applied to climate model data before they are used for further analysis. This article introduces an efficient adaptation of a well-established bias correction method, quantile mapping, for global horizontal irradiance (GHI) that ensures corrected data are physically plausible through incorporating measurements of clear-sky GHI. The proposed quantile mapping method is fit on reanalysis data to first bias correct for regional climate models (RCMs) and is tested on RCMs forced by general circulation models (GCMs) to understand existing biases directly from GCMs. Additionally, we adapt a functional analysis of variance methodology that analyzes sources of remaining biases after implementing the proposed quantile mapping method and consider biases by climate region. The proposed method is able to correct for biases due to seasonality on a monthly time scale as well as produce physically plausible values in the corrected data when compared to observed GHI. Analysis shows that biases from GCMs are generally not geographically specific and that RCMs may contribute strong biases to GHI that need to be corrected for. This analysis is applied to four sets of climate model output from NA-CORDEX and compared against data from the National Solar Radiation Database (NSRDB) produced by the National Renewable Energy Laboratory.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"288 ","pages":"Article 113220"},"PeriodicalIF":6.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Solar EnergyPub Date : 2025-02-10DOI: 10.1016/j.solener.2025.113333
Yingzhou Liu , Bin Wang , Jijian Lian , Xifeng Gao , Ye Yao , Haitao Li
{"title":"Ice load characteristics analysis and anti-icing design of a novel floating photovoltaic structure","authors":"Yingzhou Liu , Bin Wang , Jijian Lian , Xifeng Gao , Ye Yao , Haitao Li","doi":"10.1016/j.solener.2025.113333","DOIUrl":"10.1016/j.solener.2025.113333","url":null,"abstract":"<div><div>Existing design criteria for the floating photovoltaic (FPV) structures mainly emphasizes wind and wave environmental conditions without sufficiently taking the ice load impact into account. However, in the cold sea area, the dominant load on the FPV structure is considered to be the ice loads. This paper aims at evaluating the dynamic anti-icing performance of the novel FPV structure under ice loads. A novel FPV system with three-point mooring is proposed in this study, and the stability and mooring strength of the novel FPV system is discussed through the numerical simulation and model tests. An anisotropic ice numerical model is developed to simulate the coupled interaction between ice and the FPV structure based on finite element method-cohesive element method (FEM-CEM), and the accuracy of the ice-FPV structure coupled interaction model is verified based on a series of dynamic ice force model tests. Based on the established coupled interaction model, the dynamic ice force variation law of the proposed novel FPV are investigated under different ice velocities and thicknesses, and dynamic behaviors for mooring lines tension forces are quantitatively studied under sea ice in time domain. Meanwhile, structural damage analysis is carried out by comparing stress and strain. It is found that the component connection position on front sides of the FPV structure are areas where the damage occurs first; Afterwards, cracks are generated in connection positions on the rear side, resulting in complete fracture failure. In addition, different mooring tension states are considered to analyze the effects of ice force and mooring tension. Research results show that the slack-anchoring mooring state can be used as an anti-icing method for the novel FPV structure.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"289 ","pages":"Article 113333"},"PeriodicalIF":6.0,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Solar EnergyPub Date : 2025-02-09DOI: 10.1016/j.solener.2025.113312
Jan Lewen , Max Pargmann , Mehdi Cherti , Jenia Jitsev , Robert Pitz-Paal , Daniel Maldonado Quinto
{"title":"Inverse Deep Learning Raytracing for heliostat surface prediction","authors":"Jan Lewen , Max Pargmann , Mehdi Cherti , Jenia Jitsev , Robert Pitz-Paal , Daniel Maldonado Quinto","doi":"10.1016/j.solener.2025.113312","DOIUrl":"10.1016/j.solener.2025.113312","url":null,"abstract":"<div><div>Concentrating Solar Power (CSP) plants play a crucial role in the global transition toward sustainable energy. A key factor in ensuring the safe and efficient operation of CSP plants is the distribution of concentrated flux density on the receiver. However, the non-ideal flux density generated by individual heliostats can undermine the safety and efficiency of the power plant. The flux density from each heliostat is influenced by its precise surface, which includes factors such as canting and mirror errors. Accurately measuring these surfaces for a large number of heliostats in operation is a formidable challenge. Consequently, control systems often rely on the assumption of ideal surface conditions, which compromises both safety and operational efficiency. In this study, we introduce inverse Deep Learning Raytracing (<em>iDLR</em>), an innovative method designed to predict heliostat surfaces based solely on target images obtained during heliostat calibration. Our simulation-based investigation reveals that the flux density distribution of a single heliostat contains sufficient information to enable deep learning models to accurately predict the underlying surface with deflectometry-like precision in most cases, achieving a median Mean Absolute Error of approximately 0.14<!--> <!-->mm). When integrating the iDLR surface predictions into a ray-tracing environment to compute flux densities, our method achieves an accuracy of 92%, surpassing the performance of the ideal heliostat assumption by 25%. Additionally, we assess the limitations of this method, particularly in relation to surface prediction accuracy and resultant flux density predictions. Furthermore, we present an innovative and efficient heliostat surface model based on NURBS. This approach achieves a highly compact representation, requiring only 256 parameters to define the surface—a reduction of 99.97% in the amount of parameter and a 99.91% in memory usage. This efficient model enables resource-effective deep learning for heliostat surface predictions, positioning it as a promising state-of-the-art solution for heliostat surface parameterization. Our findings demonstrate that iDLR has significant potential to optimize CSP plant operations, enhancing overall efficiency and increasing the energy output of power plants.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"289 ","pages":"Article 113312"},"PeriodicalIF":6.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Solar EnergyPub Date : 2025-02-09DOI: 10.1016/j.solener.2025.113330
Tehmina Akhtar , Alexander J. Hill , Syeda Aqsa Batool Bukhari , Habib Nasir , Sharif Ullah , Johannes W. Schwank
{"title":"Fabrication of 2D/0D ZnO/CuO Z-scheme heterojunctions for enhanced photocatalytic reduction of 2,4-dinitrophenol and 2,4,6-trinitrophenol under visible light","authors":"Tehmina Akhtar , Alexander J. Hill , Syeda Aqsa Batool Bukhari , Habib Nasir , Sharif Ullah , Johannes W. Schwank","doi":"10.1016/j.solener.2025.113330","DOIUrl":"10.1016/j.solener.2025.113330","url":null,"abstract":"<div><div>2,4-Dinitrophenol (DNP) and 2,4,6-trinitrophenol (TNP) are highly toxic water pollutants that pose significant environmental and health risks. Developing green and efficient strategies for their removal is imperative. In this study, ZnO nanosheets (NSs) were decorated with CuO nanoparticles (NPs) via an ultrasonic-assisted hydrothermal method, forming ZnO NSs/CuO NPs (ZC-1:1, ZC-1:2) Z-scheme heterojunctions for photocatalytic reduction of DNP and TNP under visible light. Structural and optical characterization confirmed enhanced charge separation and light absorption. The ZC-1:1 heterojunction exhibited superior photocatalytic performance, achieving a complete reduction of DNP in 4 min and TNP in 9 min–4.5 and 2.5 times faster than pristine ZnO and ZC-1:2, respectively. The reaction followed pseudo-first-order kinetics, with rate constants of 1.14 min<sup>−1</sup> for DNP and 0.95 min<sup>−1</sup> for TNP. ZC-1:1 demonstrated excellent stability, maintaining high efficiency over five cycles. The enhanced activity is attributed to the Z-scheme heterojunction, which facilitates charge carrier separation and electron retention on CuO for effective nitrophenol reduction. This study establishes a promising 2D/0D Z-scheme heterojunction for environmental remediation, providing a novel and sustainable approach to converting toxic pollutants into benign products.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"289 ","pages":"Article 113330"},"PeriodicalIF":6.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Electrohydraulic fragmentation processing enabling separation and recovery of all components in end-of-life silicon photovoltaic panels","authors":"Pradeep Padhamnath , Srinath Nalluri , Filip Kuśmierczyk , Mateusz Kopyściański , Joanna Karbowniczek , Leow Shin Woei , Thomas Reindl","doi":"10.1016/j.solener.2025.113329","DOIUrl":"10.1016/j.solener.2025.113329","url":null,"abstract":"<div><div>The exponential increased use of PV panels for energy production would also lead to enormous volumes of PV waste that need to be dealt with in an environmentally responsible manner. In this work we present experimental results for recycling crystalline silicon (c-Si) PV panels using recently developed electrohydraulic shock wave-based fragmentation of PV panels. The electrohydraulic fragmentation process allows for the efficient delamination of the modules and subsequent recovery of almost all valuable materials used in the manufacturing of PV panels, without thermally decomposing the polymers and eliminates creation of any toxic or hazardous waste during the process. We study the impact of the type of panel, size of the feed material and process duration on the quantity and quality of material recovered after the process.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"289 ","pages":"Article 113329"},"PeriodicalIF":6.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}