Solar Energy最新文献

{"title":"Tailoring europium-doped CuBi2O4 nanorods for enhanced solar steam generation and desalination","authors":"Jawad Ali ,&nbsp;Hajra noor ,&nbsp;Jianjun Liu ,&nbsp;Muneerah Alomar ,&nbsp;Javed Khan ,&nbsp;Xue Yang","doi":"10.1016/j.solener.2025.113527","DOIUrl":"10.1016/j.solener.2025.113527","url":null,"abstract":"<div><div>Freshwater scarcity is a growing global challenge, and solar-driven steam generation offers a promising, eco-friendly solution for desalination and water purification. However, its efficiency is often hindered by poor light absorption, high charge carrier recombination, and thermal losses. To address these limitations, we synthesized europium-doped copper bismuth oxide (Eu-CuBi₂O₄) nanorods using a hydrothermal method, enhancing photothermal conversion efficiency. By integrating these nanorods into a 2D evaporation structure where they were coated onto cotton gauze and insulated with polystyrene foam for better thermal confinement we achieved a highly efficient solar steam generator. Under 1 kW/m² solar illumination, our system demonstrated an outstanding evaporation rate of 2.33 kg/m²⋅h, with an impressive solar-to-vapor conversion efficiency of 96 %, ensuring rapid and effective water evaporation. The system remained stable over 20 continuous cycles, maintaining efficiency without salt accumulation or performance loss. Thermal imaging confirmed that the material retained heat efficiently, reaching surface temperatures of 75.5 °C, further boosting evaporation rates. More importantly, this solar evaporator effectively removed over 95 % of dissolved salts (Na⁺, K⁺, Mg²⁺, Ca²⁺) and organic contaminants like Methylene Blue and Rhodamine B, even when processing high-salinity water up to 20 wt% brine. These results highlight Eu-CuBi₂O₄ nanorods as a powerful and sustainable photothermal material, paving the way for scalable, low-cost solar desalination and water purification technologies to meet the growing demand for clean water worldwide.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"295 ","pages":"Article 113527"},"PeriodicalIF":6.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882224","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":"Nanocrystal-assisted defect control in hybrid perovskite solar cells for improved photovoltaic performance","authors":"Xuefeng Xia,&nbsp;Xiaohua Ding,&nbsp;Yu Lan,&nbsp;Wenhua Zhang,&nbsp;Lihua Cao,&nbsp;Yang Zhang","doi":"10.1016/j.solener.2025.113540","DOIUrl":"10.1016/j.solener.2025.113540","url":null,"abstract":"<div><div>Organometallic halide perovskite solar cells (PSCs) have emerged as leading candidates for new-generation photovoltaics due to their exceptional power conversion efficiency (PCE) and superior optoelectronic properties, including long carrier lifetimes, extended diffusion lengths, and high absorption ability. However, defects at grain boundaries and surfaces act as non-radiative recombination centres, severely degrading device performance and stability. In this study, we introduce a quantum dot (QD)-assisted anti-solvent engineering strategy (AES) to regulate perovskite crystallization and minimize defect states. By incorporating various ratios (0.3, 0.6, and 0.9 mg/mL) of CdSe/ZnS core–shell QDs with green (g-QDs) and red (r-QDs) emission into the anti-solvent process, we achieve a compact, pinhole-free perovskite morphology with reduced trap-assisted recombination. As a result, r-QD-incorporated double-cation PSCs achieve a breakthrough PCE exceeding 21 %, outperforming the control devices (18.3 %). Furthermore, QD-passivated PSCs exhibit remarkable operational stability, retaining over 90 % of their initial performance over 600 h of light exposure under maximum power point tracking (MPPT) conditions. The obtained findings highlight the potential of QD-assisted passivation in mitigating critical limitations in PSC technology, paving the way for enhanced stability and long-term performance through advanced anti-solvent engineering.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"295 ","pages":"Article 113540"},"PeriodicalIF":6.0,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874137","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":"Solar light-based photocatalysis for organic pollutant degradation: Mechanistic understanding of double Z-scheme dynamics in ZnO/Fe2O3-doped NiCo2O4","authors":"Mawra Kokab ,&nbsp;Ismat Bibi ,&nbsp;Farzana Majid ,&nbsp;Shagufta Kamal ,&nbsp;Babar Taj ,&nbsp;Gul Fatima ,&nbsp;Qasim Raza ,&nbsp;Sooman Lim ,&nbsp;Fatimah M. Alzahrani ,&nbsp;Arif Nazir ,&nbsp;Munawar Iqbal","doi":"10.1016/j.solener.2025.113519","DOIUrl":"10.1016/j.solener.2025.113519","url":null,"abstract":"<div><div>The double Z-scheme photocatalysts provide an effective strategy for enhancing the separation and transfer of photo-induced charge carriers. In this study, pure NiCo₂O₄ (NC) and ZnO/Fe₂O₃-doped NiCo₂O₄ (ZNFC1-3) nanoparticles (NPs) were synthesized using the co-precipitation method. The impact of doping on the structural and photocatalytic properties was thoroughly investigated. The NPs were characterized through X-ray diffraction (XRD), Fourier-transform infrared (FTIR) spectroscopy, Raman spectroscopy, and UV–Visible analysis. XRD confirmed that the ZNFC NPs possess a face-centered cubic structure, with particle sizes ranging from 19 to 29 nm. FTIR analysis identified metal–oxygen bonds, validating the successful incorporation of dopants. The optical bandgap of the NPs decreased from 2.68 eV (undoped) to 1.64 eV (highly doped), demonstrating enhanced light absorption. Photoluminescence (PL) intensity decreased with increasing dopant concentrations, indicating improved inhibition of charge carrier recombination. The photocatalytic performance of the pure and doped ZNFC3 NPs was evaluated for the degradation of Crystal Violet (CV) dye and salicylic acid (SA) under visible light irradiation. The ZNFC3 photocatalyst exhibited superior degradation efficiency, achieving 91% removal of CV and 90% of SA under optimized conditions, including pH, pollutant concentration, and catalyst dosage. Trapping experiments confirmed that hydroxyl radicals (OH^•) were the primary reactive species responsible for pollutant degradation, followed by photo-induced holes and electrons. Recyclability tests over multiple cycles demonstrated the excellent stability and reusability of the ZNFC3 photocatalyst, making it a promising candidate for removing organic pollutants from wastewater effluents.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"295 ","pages":"Article 113519"},"PeriodicalIF":6.0,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874138","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":"srlife: a software tool for estimating the life of high temperature concentrating solar receivers. Part I – metallic receivers","authors":"Mark C. Messner,&nbsp;Bipul Barua","doi":"10.1016/j.solener.2025.113518","DOIUrl":"10.1016/j.solener.2025.113518","url":null,"abstract":"<div><div>This paper introduces <em>srlife</em>, a tool for estimating the structural service life of concentrating solar power (CSP) receivers operating at high temperatures. Supporting both metallic and ceramic receiver designs, <em>srlife</em> is available as open-source software at <span><span>https://github.com/applied-material-modeling/srlife</span><svg><path></path></svg></span> and can be installed via the PyPi package manager (<span><span>https://pypi.org</span><svg><path></path></svg></span>). Given basic receiver geometry and incident heat flux, the tool performs thermohydraulic and structural analysis and estimates the life of a receiver. Designed for easy integration into a software stack, including solar field and levelized cost analysis, the tool can be utilized for optimizing receiver designs to meet service life and economic targets. This paper is Part I in a two-part series. Part I discusses the analysis process used to estimate the life of metallic receivers, along with a description of the required input data. Additionally, several heuristics applied within <em>srlife</em> can reduce analysis time significantly while maintaining accurate life estimations for metallic receivers when compared to full analyses. Several examples demonstrating the utility of <em>srlife</em> in receiver design are also discussed. Part II focuses on the life estimation of ceramic receivers, using time-dependent reliability analysis and various ceramic failure models implemented in <em>srlife</em>.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"295 ","pages":"Article 113518"},"PeriodicalIF":6.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868987","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":"An artificial intelligence approach to predict energy parameters in a photovoltaic-thermal system within a greenhouse","authors":"Shojapour Pour ,&nbsp;Ali Motevali ,&nbsp;Seyed Hashem Samadi ,&nbsp;Ranjbar-Nedamani Nedamani ,&nbsp;Pourya Biparva ,&nbsp;Amjad Anvari-Moghaddam","doi":"10.1016/j.solener.2025.113544","DOIUrl":"10.1016/j.solener.2025.113544","url":null,"abstract":"<div><div>The ever-increasing energy demands in various agricultural sectors, especially in greenhouse facilities, require exploring feasible solutions. Utilizing renewable energy sources, along with implementing artificial intelligence (AI) to predict and analyze energy consumption data, offers a promising approach to tackle this challenge. In this research, various machine learning models are used to predict energy parameters (such as output power, electrical efficiency, thermal efficiency, and total efficiency) of a photovoltaic-thermal system based on nanofluids (Al₂O₃, SiO₂, Al₂O₃-SiO₂) both inside and outside a greenhouse environment. The modeling is carried out using time-delay neural networks (TDNN), multilayer perceptron (MLP), and nonlinear autoregression (NARX) methods, incorporating a logarithmic activation function. The results of the modeling for predicting different energy parameters indicate that the NARX network achieves the highest accuracy, with average statistical indicators of R² = 0.9979 and RMSE = 0.1062. In contrast, the MLP network shows the lowest accuracy, with average statistical indicators of R² = −0.1657 and RMSE = 3.4482. Furthermore, a comparison of the energy parameter modeling results shows that simulations conducted outside the greenhouse have better statistical indicators, with an average R² = 0.7038 and RMSE = 0.9358, compared to simulations conducted inside the greenhouse, which yielded an average R² = 0.5162 and RMSE = 1.5267. Additionally, an analysis of the convergence times for the different networks reveals that the MLP, TDNN, and NARX networks require average times of 0.4057 h, 37.3864 h, and 103.5006 h, respectively.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"295 ","pages":"Article 113544"},"PeriodicalIF":6.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869260","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":"Geometric calibration of all-sky cameras using sun and moon positions: A comprehensive analysis","authors":"Niklas Blum ,&nbsp;Paul Matteschk ,&nbsp;Yann Fabel ,&nbsp;Bijan Nouri ,&nbsp;Roberto Román ,&nbsp;Luis F. Zarzalejo ,&nbsp;Juan Carlos Antuña-Sánchez ,&nbsp;Stefan Wilbert","doi":"10.1016/j.solener.2025.113476","DOIUrl":"10.1016/j.solener.2025.113476","url":null,"abstract":"<div><div>All-sky imagers (ASIs) have been applied to enable accurate very-short-term forecasts of the production of solar power plants and to derive measurements which facilitate the efficient and reliable operation of such plants. Overall, ASIs can support the grid integration and efficient operation of solar power plants.</div><div>These tasks often require to reconstruct ‘world coordinates’ of observed scene points from their position in the ASI images. This requires a practically feasible geometric calibration of each ASI regarding camera-intrinsic lens distortion parameters and the ASI’s external orientation.</div><div>We present ‘SuMo’ an open-source Python tool which determines all relevant parameters only using regular ASI images of Sun and Moon. The method avoids a manual interference on-site, can be applied retrospectively and can also be used to continuously monitor an ASI’s geometric calibration.</div><div>We validate the calibration method on five cameras at three sites and over various datasets representing different seasons, atmospheric conditions, exposure times and sun/ moon elevation and azimuth angles. Already a single month of images from either summer or winter yields an accurate calibration (RMSE <span><math><mrow><mo>≤</mo><mn>0</mn><mo>.</mo><mn>1</mn><msup><mrow><mn>4</mn></mrow><mrow><mo>∘</mo></mrow></msup></mrow></math></span>). A comparable calibration accuracy (RMSE 0.14 – <span><math><mrow><mn>0</mn><mo>.</mo><mn>3</mn><msup><mrow><mn>8</mn></mrow><mrow><mo>∘</mo></mrow></msup></mrow></math></span>) could be achieved for all tested ASIs without modifying any of the method’s parameters. Image quality moderately influenced the calibration accuracy. An additional cross-validation with the star-based ORION calibration method further confirms the high accuracy of our method over the entire sky dome (MAE <span><math><mrow><mn>0</mn><mo>.</mo><mn>1</mn><msup><mrow><mn>4</mn></mrow><mrow><mo>∘</mo></mrow></msup></mrow></math></span>).</div><div>We provide a Python package and <span><math><mrow><mo>&gt;</mo><mn>2</mn></mrow></math></span> years of ASI images and irradiance measurements with the publication.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"295 ","pages":"Article 113476"},"PeriodicalIF":6.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863428","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":"A novel cost effective reconfiguration scheme for consumers to mitigate power losses in TCT configured partially shaded PV array","authors":"Shivam Tripathi,&nbsp;Durgesh Chandra Nautiyal,&nbsp;Himanshu Sekhar Sahu","doi":"10.1016/j.solener.2025.113480","DOIUrl":"10.1016/j.solener.2025.113480","url":null,"abstract":"<div><div>The power generated by a photovoltaic (PV) array is reduced under partial shading conditions (PSCs). This article proposed a novel cost-effective solar panel relocation technique (SPRT) to dilute the effects of partial shading over the entire PV array and mitigate wiring loss as well as mismatch loss. In this technique, a set of generalized mathematical expressions is proposed to reconfigure the totally cross-tied (TCT) configuration and evaluate the wiring loss of the proposed configuration. To relocate the panels in distinct rows of array for effective shade dispersion, the proposed mathematical expressions are used. In this scheme, the panels of the TCT-configured PV array are relocated one time physically during installation without disturbing the electrical connection. Also, the comparison of SPRT configuration with different existing configurations is carried out for static, dynamic, and random PSCs using simulation and experimental platforms. From the results, it is noted that the %power enhancement (PE) of the SPRT-configured array lies between 4.28% to 27.59%. Also, the probability of PE in the SPRT-configured array with respect to existing configurations is determined for 2000 random PSCs. Finally, the proposed configuration’s efficacy in terms of consumer revenue generation is validated against other methods.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"295 ","pages":"Article 113480"},"PeriodicalIF":6.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860732","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":"Performance of a photovoltaic-thermal solar collector with hollow twisted ribbon inserted in absorber tubes: A theoretical and experimental study","authors":"Nur Nadia Adleena Binti Tengah ,&nbsp;Kamaruzzaman Sopian ,&nbsp;Hussein A Kazem ,&nbsp;Miqdam T Chaichan ,&nbsp;Ali H.A. Al-Waeli","doi":"10.1016/j.solener.2025.113541","DOIUrl":"10.1016/j.solener.2025.113541","url":null,"abstract":"<div><div>Photovoltaic Thermal (PVT) Solar Collector is an innovative technology that merges photovoltaic and thermal energy generation into a single device. The electrical output of PV systems suffers losses due to temperature rise, and inappropriate cooling methods lead to excessive temperature rises. The power output of conventional absorber tubes is limited due to their poor heat transfer efficiency. Absorber tube design requires optimal optimization through various improvements or advanced materials and passive perturbs to enhance heat extraction while minimizing PV system temperatures and maximizing energy generation for electricity and heating. Solution-focused improvements to this challenge will lead to the development of higher-efficiency PVT systems, achieve economic stability, and increase the adoption of hybrid solar energy. This study explores the impact of hollow twisted ribbon inserts in absorber tubes, using computational fluid dynamics (CFD) models created in ANSYS to simulate temperature variations and determine the optimum pitch ratio of the inserts. Experimental evaluations were conducted with an indoor solar simulator. Simulation results indicate that the PVT system with hollow twisted ribbon inserts maintains a lower average module temperature (47.23 °C) compared to the system without inserts (88.57 °C) at 800 W/m² and 0.04 kg/s, significantly enhancing thermal efficiency across various mass flow rates and irradiance levels. The highest energy transfer rate enhancement (30.05 %) was recorded at a pitch ratio of 0.25 and a mass flow rate of 0.06 kg/s. Experimental data show a drop in the open circuit voltage (V_oc) and an increase in the short circuit current (I_sc) at higher irradiance levels, with maximum power (P_max) ranging from 19.97 W to 20.39 W, and a mean module temperature rise to 96.21 °C, resulting in a PV efficiency decrease to 8.28 %. At 806 W/m², from 0.01 kg/s to 0.06 kg/s, the mean module temperature was reduced from 55.23 °C to 40.13 °C and increased PV efficiency from 6.97 % to 7.78 %. However, efficiency slightly declined at 0.07 kg/s, indicating optimal cooling at 0.06 kg/s.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"295 ","pages":"Article 113541"},"PeriodicalIF":6.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863424","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":"Tilted solar UV radiation estimation and its role in advanced solar water treatment systems","authors":"Lisdelys González-Rodríguez ,&nbsp;Basharat Jamil ,&nbsp;Mehmet Ali Kallioğlu ,&nbsp;Alejandro Cabrera-Reina ,&nbsp;Aitor Marzo ,&nbsp;Wirmer García-Tuñon ,&nbsp;Matías Volke ,&nbsp;Fabiola Lobos ,&nbsp;Agustin Laguarda","doi":"10.1016/j.solener.2025.113521","DOIUrl":"10.1016/j.solener.2025.113521","url":null,"abstract":"<div><div>Information on solar ultraviolet radiation (UVR) on the Earth’s surface is essential for fields such as health/materials sciences, and energy. UVR measurements are commonly taken on a horizontal plane, which is also the reference plane for the available database estimates. However, for many applications, such as water treatment, information on UVR in the tilted plane may provide more insightful results. There is a lack of studies in the literature that address the problem of UVR on inclined surfaces. In this study, an isotropic transposition model was used to estimate UVR in tilted surfaces in six different cities along the Chilean territory with potential applications in solar water treatment. In this context, isotropic refers to the diffuse and direct radiation component modeling. In addition, mathematical models were developed to forecast Chilean cities’ monthly and yearly optimum tilt angles. The efficiency of the solar photo-Fenton process for treating paracetamol-contaminated wastewater using a compound parabolic collector photoreactor tilted at different angles, was evaluated through simulation. The gains increased at the highest latitude were 30.13 % for monthly, 21.05 % for seasonal, and 9.23 % for yearly adjustments. The empirical models developed were found to be highly accurate (R² ≥ 0.81, RMSE ≤ 0.98°, MAPE ≤ 2.70,% SSRE ≤ 0.01°, RSE ≤ 0.02°, and MBE ≤ 0.001°). Using the local latitude as the photoreactor tilt angle (the current general design strategy) resulted in lower efficiency (m³ of wastewater treated per month) than using the optimal tilt angle for the month with the lowest UVR (winter), and the entire year. These results highlight the importance of fine-tuning the photoreactor tilt angle locally and, consequently, the need to develop UVR models that account for this variable.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"295 ","pages":"Article 113521"},"PeriodicalIF":6.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855926","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":"Enhancing wind power forecasting accuracy: A hybrid SNGF-RERNN-SCSO approach","authors":"Ramesh Chandra Khamari ,&nbsp;Santosh Mani ,&nbsp;Rajesh G. Bodkhe ,&nbsp;Akhilesh Kumar Singh","doi":"10.1016/j.solener.2025.113513","DOIUrl":"10.1016/j.solener.2025.113513","url":null,"abstract":"<div><div>Forecasting wind power accurately is essential for optimizing energy management, improving grid stability. However, predicting wind speed and power generation is inherently challenging due to the intermittent and stochastic nature of wind patterns. The proposed hybrid system integrates the Surface Normal Gabor Filter (SNGF), recalling enhanced recurrent neural network (RERNN) and sand cat swarm optimization, named as SNGF-RERNN-SCSO approach. The SNGF efficiently reduces noise and refines wind data, while RERNN accurately predicts future wind speeds. The model’s computational efficiency is further enhanced by SCSO. The system gives an optimal solution with less calculation time by using the proposed technique. Then, the proposed approach is put into practice in the MATLAB platform and its execution is assessed with present strategies like Random Forest Algorithm (RFA), Recurrent Neural Network (RNN) and Giza Pyramid Construction. The proposed SNGF-RERNN-SCSO achieves lowest Mean Absolute Error (MAE) of 0.1 %, Mean Absolute Percentage Error (MAPE) of 2%, and Root Mean Square Error (RMSE) of 0.3. Furthermore, the proposed technique accomplishes the highest sensitivity of 98.06% maintaining the fastest execution time of 0.3 s. This emphasizes the higher accuracy and computational efficiency of the model, making it a robust and scalable solution for wind power forecasting.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"295 ","pages":"Article 113513"},"PeriodicalIF":6.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860279","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}