Renewable Energy最新文献

{"title":"Ultra-short-term wind power prediction based on hybrid denoising with improved CEEMD decomposition","authors":"JiaJing Gao ,&nbsp;HongMei Xing ,&nbsp;YongSheng Wang ,&nbsp;GuangChen Liu ,&nbsp;Bo Cheng ,&nbsp;DeLong Zhang","doi":"10.1016/j.renene.2025.123352","DOIUrl":"10.1016/j.renene.2025.123352","url":null,"abstract":"<div><div>Ultra-short-term wind power prediction plays a crucial role in grid stability and energy management. To tackle the complexity of wind power data, this paper presents a Grey Relation Analysis-Improved Complete Ensemble Empirical Mode Decomposition (GCEEMD) method, integrating advanced denoising techniques and improvements. First, the Discrete Fourier Transform (DFT) and Discrete Wavelet Transform (DWT) are applied to analyze the data across multiple scales in both the frequency and time domains. This effectively extracts periodic features, removes noise, and preserves the dynamic characteristics of wind power. Next, Grey Relation Analysis (GRA) is introduced to optimize the CEEMD decomposition process by prioritizing key variables, which enhances the model's responsiveness to major trends and patterns. Finally, a Generative Adversarial Network (GAN) is combined with the NSGA-II algorithm to optimize component integration, significantly enhancing prediction accuracy and stability. Experimental results confirm the effectiveness of the proposed method when applied to real wind farm data.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123352"},"PeriodicalIF":9.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 environmentally friendly biodiesel Production: Computational and experimental investigations of ZnO-based catalysts for enhanced olive oil conversion","authors":"Saeed Hasannia ,&nbsp;Mohammad Kazemeini ,&nbsp;Mohsen Tamtaji ,&nbsp;Mahan Mirzaeian","doi":"10.1016/j.renene.2025.123393","DOIUrl":"10.1016/j.renene.2025.123393","url":null,"abstract":"<div><div>The main aim of the present study was to develop recoverable and reusable monometallic ZnO/rGO and bimetallic Cu-ZnO/rGO compounds as acidic catalysts via an efficient synthesis method to optimize the conversion of olive oil into biodiesel. The chemical and structural properties of the catalysts were assessed utilizing XRD, TPD, BET-BJH, XPS, EDS, Raman, and TEM analyses. The final product of transesterification process was also evaluated by ¹H NMR and FTIR analyses. The objective is to attain high conversion rates while maintaining catalyst stability and reusability over multiple cycles. RSM and its BBD subset were used to estimate optimal conditions and simultaneously evaluate influential parameters. Under optimum conditions <em>(i.e.</em>; methanol/oil molar ratio of 15.5, a reactor catalyst loading of 10 wt %, and a specific temperature of 70 °C), a conversion rate of 94 % was achieved with the Cu-ZnO (13)/rGO catalyst. This level remained relatively constant over eight catalytic cycles, illustrating the robustness of the prepared catalyst. These experimental findings aligned closely with the DFT (density functional theory) calculations. They displayed that, the Cu-ZnO catalyst, with a Cu/Zn ratio of 0.3 exhibited the Maximum triglyceride adsorption energy of −4.97 eV, resulting in a high conversion also revealed experimentally.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123393"},"PeriodicalIF":9.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 high-precision photovoltaic power forecasting model leveraging low-fidelity data through decoupled informer with multi-moment guidance","authors":"Ruizhe Deng ,&nbsp;Yiming Wang ,&nbsp;Po Xu ,&nbsp;Futao Luo ,&nbsp;Qi Chen ,&nbsp;Haoran Zhang ,&nbsp;Yuntian Chen ,&nbsp;Dongxiao Zhang","doi":"10.1016/j.renene.2025.123391","DOIUrl":"10.1016/j.renene.2025.123391","url":null,"abstract":"<div><div>Accurate power generation forecasting for distributed photovoltaic (PV) systems is essential for the grid with increased distributed PV penetration. This task depends on high-fidelity historical and forecast weather data, but obtaining such data is challenging. This paper proposes a decoupled Informer with multi-moment guidance (DMGformer), using real-world low-fidelity historical and forecast weather data for day-ahead hourly distributed PV power forecasting. Specifically, the framework employs a decoupled history-forecast (DHF) structure where the encoder exclusively captures long-term historical meteorological and power generation dependencies, while the decoder uses forecast data and historical insights to predict future power. Additionally, the multi-moment guidance (MMG) module is designed to introduce domain knowledge that multiple corresponding moments from historical data can contribute to the power forecasting of a future moment in the short term. To evaluate the feasibility and effectiveness of the model, we construct a real-world dataset of 500 sites, containing hourly power generation and low-fidelity historical and forecast weather data. The results highlight the impressive performance of the proposed DMGformer, achieving a 24.11 % reduction in Mean Absolute Error (MAE) and a 1.46 % improvement in accuracy compared to the suboptimal Informer. Furthermore, the DHF and MMG effectively enhance the performance of LSTM (Long Short-Term Memory), Transformer, and Informer models, validating the generalizability of these two paradigms. The DMGformer exhibits superior efficiency in utilizing low-fidelity meteorological data to achieve precise power generation forecasting, especially for distributed PV plants, which facilitates optimized resource allocation for sustainable energy production.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"250 ","pages":"Article 123391"},"PeriodicalIF":9.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic dependence and network analysis between renewable energy tokens, sustainability-driven investments and equity markets: Implications for portfolio management","authors":"Sagheer Muhammad,&nbsp;Xiaoxia Huang","doi":"10.1016/j.renene.2025.123256","DOIUrl":"10.1016/j.renene.2025.123256","url":null,"abstract":"<div><div>As global markets transition toward a climate-resilient economy, policymakers, regulators, and investors are increasingly focusing on clean and renewable investment avenues. This study examines the time-varying interconnectedness and portfolio management between renewable energy tokens, sustainability-driven investments, and Gulf Cooperation Council (GCC) stock market indices using a set of methodologies namely, DY spillover index, quantile vector autoregression, and TVP-VAR frameworks. The results reveal that interconnectedness among these assets intensifies significantly under extreme market conditions, with spillover effects becoming more pronounced during crises such as the COVID-19 pandemic and the Russia–Ukraine war. Network analysis indicates that GCC stock indices primarily act as shock transmitters in bearish markets, while renewable energy tokens serve as net shock receivers in bullish conditions. Sustainable investments, particularly the Dow Jones Sustainability Index (DJSI), consistently transmit shocks, whereas the S&amp;P Green Bond Index (SPGBI) remains a stable shock absorber across all market environments. Uncertainty indices, OVX and VIX, exhibit dynamic roles depending on market fluctuations. Additionally, portfolio analysis highlights the diversification potential of renewable energy tokens during health crises and the resilience of sustainable investments during geopolitical tensions. The findings offer valuable insights for investors and portfolio managers on asset allocation, hedging strategies, and risk management in sustainable financial markets.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123256"},"PeriodicalIF":9.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144083947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The green Frontier: Leveraging information globalization, ICT, green innovation, and financial depth for sustainable progress in the United Kingdom","authors":"Muhammad Ramzan ,&nbsp;Kashif Raza Abbasi ,&nbsp;Sami Ullah ,&nbsp;Tomiwa Sunday Adebayo","doi":"10.1016/j.renene.2025.123355","DOIUrl":"10.1016/j.renene.2025.123355","url":null,"abstract":"<div><div>The rise of new ideas, technologies, business models, and the internet has significantly enhanced the global flow of resources and information, offering opportunities for cleaner and more sustainable industrial production. However, previous research has largely overlooked the interplay between globalization, innovation, and green energy growth. This study addresses this gap by examining the impact of information globalization (ING), information and communication technology (ICT), green innovation (GRN), and financial depth (FND) on green growth (GRG) and energy transition (ENT) in the United Kingdom from 1990 to 2020. The empirical analysis based on the novel Fourier Quantile Causality test reveals that ICT is a key predictor of ENT, while ING, GRN, and FND play vital roles in promoting green growth, particularly in medium and high quantiles. Additionally, the findings indicate that ING and ICT enhance the positive effects of GRN and FND on green growth and energy transition. This research introduces a novel analytical framework that integrates these factors, offering novel insights and implications for sustainable energy policy. Based on these insights, the study propose several policy recommendations aimed at fostering green growth and facilitating the renewable energy transition, contributing to the sustainable development goals of the United Kingdom.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123355"},"PeriodicalIF":9.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nitrogen diffusion and transformation during hydrothermal carbonization of xylan, cellulose, and lignin in aqueous solution recycled from hydrothermal treatment of fiberboard","authors":"Deliang Xu ,&nbsp;Yuan Yin ,&nbsp;Jinchuan Wang ,&nbsp;Xiang Liu ,&nbsp;Lei Shi ,&nbsp;Sasha Yang ,&nbsp;Juntao Wei ,&nbsp;Xun Hu ,&nbsp;Shu Zhang","doi":"10.1016/j.renene.2025.123368","DOIUrl":"10.1016/j.renene.2025.123368","url":null,"abstract":"<div><div>The fate of nitrogen during the thermochemical carbonization of biomass is crucial for the preparation of bio-fuels and bio-materials. This study examines the nitrogen diffusion and transformation during the hydrothermal carbonization (HTC) of xylan, cellulose, and lignin in a nitrogen-rich aqueous solution recycled from the hydrothermal treatment of fiberboard. The results show that the HTC of xylan in nitrogen-rich aqueous solution promotes the nitrogen diffusion from the aqueous phase to hydrochars in a broad temperature condition, while the HTC of cellulose in similar conditions mainly influences the nitrogen evolution when the temperature exceeds 220 °C. However, the HTC of lignin has no significant effect on the nitrogen conversion. Heterocyclic-N was the predominant form of nitrogen-containing structure in the hydrochars, and it converted to a more stable structure with increasing temperature. During the HTC, the ammonium ion was the predominant nitrogen species in the aqueous phase, which was readily converted to organic-N during HTC of xylan, while it was temperature dependent in the case of the HTC of cellulose. The results provide an in-depth understanding of nitrogen transfer and transformation during the HTC of nitrogen-rich lignocellulose biomass.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123368"},"PeriodicalIF":9.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High hydrogen production from raw biomass via crystal phase regulation of Al2O3 supported Ni catalyst","authors":"Qian Liu ,&nbsp;Xiaoqin Si ,&nbsp;Mengjie Li ,&nbsp;Zhiwen Ren ,&nbsp;Fang Lu","doi":"10.1016/j.renene.2025.123380","DOIUrl":"10.1016/j.renene.2025.123380","url":null,"abstract":"<div><div>Naturally abundant biomass exhibited a complex structure with diversified chemical bonds, it brought about great challenges for the directly high-efficiency conversion of raw biomass into hydrogen under mild conditions. Here, it developed an efficient approach to catalyze cleavage of O-H, C-H and C-C bonds with the sequential water gas shift in lignocellulosic biomass through the enhanced catalytic performance of Ni-supported catalysts with the crystal phase regulation of Al₂O₃. The introduction of Ba(OH)₂ greatly enhanced the production of hydrogen over Ni/γ-Al₂O₃, and H₂ production of 69.9 mmol <span><math><mrow><msubsup><mi>g</mi><mtext>wood</mtext><mrow><mo>‐</mo><mn>1</mn></mrow></msubsup></mrow></math></span> was acquired from the directly catalytic conversion of raw biomass. Further reaction pathway investigation revealed that more basic sites in Ni/γ-Al₂O₃ were beneficial to the cleavage of O-H bonds and form the adsorbed ethoxide, which facilitated the further cleavage of α-C-H bonds. Meanwhile, the hydrogen spillover in Ni/γ-Al₂O₃ could promote the H₂ generation, and it also provided more NiAl₂O₄ species to break the C-C bonds and form Ni_x (CO)_y species, which accelerated the water gas shift to produce hydrogen. Our strategy provides guidance in the catalytic production of sustainable hydrogen as well as the low carbon future.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"250 ","pages":"Article 123380"},"PeriodicalIF":9.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Petrogenesis, radiogenic heat production, and geothermal potential of host rocks in the Al-Lith geothermal system, Western Saudi Arabia","authors":"Jawad Rafiq,&nbsp;Israa S. Abu-Mahfouz,&nbsp;Scott Whattam","doi":"10.1016/j.renene.2025.123362","DOIUrl":"10.1016/j.renene.2025.123362","url":null,"abstract":"<div><div>Geothermal energy is emerging as a sustainable and low-carbon energy source globally, gaining significant attention worldwide. In the Middle East, the exceptional situation of Saudi Arabia along the western coast of the Red Sea makes it a host to many geothermal resources; however, the geochemical characterization of the geothermal resource remains limited. This study investigates the geochemical and mineralogical characteristics of the Al-Lith geothermal system, combining geochemical evaluation with microscopic investigation. Whole-rock geochemistry focuses on major, trace, and rare earth elements, including radioactive elements like uranium, thorium, and potassium, to assess radiogenic heat production. Results reveal that the study area is dominated by granitic and low to medium-grade metamorphic rocks, with low to moderate mineral alteration linked to hydrothermal activity. Granitic rocks exhibit higher radiogenic heat production (average 0.71 μW/m3) than metamorphic rocks (average 0.68 μW/m3), primarily due to elevated uranium and thorium concentrations. Elemental enrichment and depletion trends suggest a volcanic arc granite origin, reflecting subduction-modified mantle and crustal sources. These felsic rocks enhance geothermal potential by providing thermal buffering and facilitating heat transfer. This study provides critical insights into the geochemical and radiogenic heat characteristics of host rocks in Al-Lith, offering a foundation for geothermal resource modeling and exploration.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"250 ","pages":"Article 123362"},"PeriodicalIF":9.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancement of gasification performance of Sesamum indicum stalk residue and Oryza sativa husk through densification and co-gasification with Prosopis juliflora","authors":"Sanalkumar Atthanikuzhy Peethambaran ,&nbsp;Subramaniyasharma Sivaraman ,&nbsp;Srividhya Krishnan ,&nbsp;Saravanan Ramiah Shanmugam ,&nbsp;Noori M. Cata Saady ,&nbsp;Sohrab Zendehboudi ,&nbsp;Malinee Sriariyanun ,&nbsp;Venkatachalam Ponnusami","doi":"10.1016/j.renene.2025.123379","DOIUrl":"10.1016/j.renene.2025.123379","url":null,"abstract":"<div><div>Sustainable management approaches for crop residues have not been explored to their maximum potential. Most agricultural crop residues are arbitrarily burned in the agricultural fields, causing significant air pollution and health problems. This work investigated the gasification of two under-explored herbaceous agricultural wastes, namely <em>Sesamum indicum</em> stalk residue (<em>SSR</em>) and rice (<em>Oryza sativa</em>) husk (<em>RH</em>), in a throatless downdraft gasifier with air. It studied syngas composition, higher heating value (<em>HHV</em>), cold gas efficiency (<em>CGE</em>), and carbon conversion efficiency (<em>CCE</em>) at an air velocity of 7.5 m/s. To improve the gasification performance, pelletization and blending of woody biomass (co-gasification) were studied. After pelletization, the densities increased by 2.3 and 1.8 folds for <em>SSR</em> and <em>RH</em>, respectively. The <em>CGE</em> increased proportionately by 2.9 and 1.7 folds for <em>SSR</em> and <em>RH</em>, respectively. Meanwhile, <em>CCE</em> increased by 2.7 and 1.7 folds for <em>SSR</em> and <em>RH</em>, respectively. Further, the hardwood <em>Prosopis juliflora</em> (<em>PJ</em>) was blended with these biomasses in different mass ratios to improve their gasification performance. The co-gasification studies revealed that the gasification performance of the 1:1:2 blend pelletized <em>SSR</em>: pelletized <em>RH</em>: <em>PJ</em> matched that of hardwood. Thus, the results of this study demonstrated that the leftover agricultural biomasses could be efficiently blended with hardwood to produce energy and thereby (1) reduce hardwood consumption in gasification, (2) provide a solution to manage residues generated during agricultural practices, (3) contribute to a circular economy, and (4) complies with sustainable development goals 2, 7 and 12.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123379"},"PeriodicalIF":9.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical simulation of dust deposition influences on building integrated photovoltaic array","authors":"Wenjun Zhao ,&nbsp;Zunshi Han ,&nbsp;Yupeng Wu ,&nbsp;Hao Lu","doi":"10.1016/j.renene.2025.123334","DOIUrl":"10.1016/j.renene.2025.123334","url":null,"abstract":"<div><div>Airborne dust deposition on building-integrated photovoltaic (BIPV) modules can significantly reduce the photovoltaic (PV) efficiency. This study aims to investigate the characteristics of dust deposition and its impact on building-integrated photovoltaic array. A validated numerical simulation with a shear stress transport (SST) <em>k-ω</em> turbulence model and a discrete particle model was employed in this study. By systematically manipulating wind velocity and spacing between BIPV modules, the dust deposition rate on the BIPV modules and its concurrent effect on power generation were quantified. The results showed that the accumulation of dust on the front row panels exceeded that on the rear row. Notably, higher wind velocities were associated with reduced photovoltaic power output. The dust deposition rate peaked at 7.17 % for 200 μm particles, then dropped to a minimum of 0.82 % for 600 μm particles. Dust deposition rates on solar panels showed a consistent trend across different roof inclination angles at 16.7° (1.39 %), 22.6° (2.54 %), 36.9° (3.74 %), and 45° (4.58 %). Increased building spacing led to higher dust deposition on the front row, primarily due to gravitational effects. Overall, this study thoroughly examined how dust size, wind velocity, spacing between buildings and the roof inclination of buildings affect dust deposition behaviors.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"250 ","pages":"Article 123334"},"PeriodicalIF":9.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}