International Journal of Energy Research最新文献

{"title":"A Two-Stage Model for Outlier Detection and Power Prediction of Wind Turbine Using SCADA Dataset","authors":"Fatma Mazen Ali Mazen,&nbsp;Yomna Shaker,&nbsp;Rania Ahmed Abul Seoud","doi":"10.1155/er/2527561","DOIUrl":"https://doi.org/10.1155/er/2527561","url":null,"abstract":"<p>As wind energy adoption grows, ensuring reliable power generation becomes critical. However, its inherent variability, caused by fluctuations in wind speed, direction, and environmental conditions, poses challenges for grid integration and operational planning. To mitigate these issues, researchers have developed various forecasting models and techniques for improving wind power prediction. Wind power forecasting enables more accurate power scheduling, reduces operational costs, and improves grid stability. Datasets derived from wind turbines’ Supervisory Control and Data Acquisition (SCADA) offer high-resolution and real-time measurements of critical operational parameters, including wind speed and power output. Outliers in these datasets frequently stem from sensor faults, data transmission issues, extreme environmental conditions, or atypical turbine operations. This makes outlier detection vital for data integrity and effective maintenance planning. This paper proposes a two-stage model: one stage for outlier detection followed by another stage for power prediction using the Kaggle SCADA dataset. Using One-Class support vector machine (SVM) for outlier detection marks a significant advancement, as it facilitates the identification of 6588 anomalies without requiring labeled data. By exploiting inherent physical relationships between wind speed and power output, the incorporation of innovative features such as cubic wind speed and residual power enhances the model’s predictive accuracy. The findings underscore the efficacy of the proposed methodology, evidenced by a mean squared error (MSE) of 8809.20 kW, which reflects a significant level of accuracy in forecasting power output. Furthermore, the mean absolute error (MAE) of 63.35 kW which indicates that, on average, the predicted wind power output deviates from the actual output by this amount, reflecting the model’s accuracy in forecasting. The high coefficient of determination (<i>R</i> <i> </i>²) value of 0.9947 demonstrates an excellent model fit to the observed data, accounting for approximately 99.47% of the variance.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/2527561","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144929478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tailoring Graphitic Carbon Nitride (g-C3N4) for Multifunctional Applications: Strategies for Overcoming Challenges in Catalysis and Energy Conversion","authors":"Muhammad Ikram Nabeel,&nbsp;Tahsin Gulzar,&nbsp;Shumaila Kiran,&nbsp;Naseer Ahmad,&nbsp;Syed Abbas Raza,&nbsp;Uswa Batool,&nbsp;Zulfiqar Ahmad Rehan","doi":"10.1155/er/5599894","DOIUrl":"https://doi.org/10.1155/er/5599894","url":null,"abstract":"<p>Graphitic carbon nitride (g-C₃N₄) has been emerging as a promising material, and this review covers its synthesis, modifications, and applications. The synthesis of g-C₃N₄ comprises the use of oxygen-free, nitrogen-rich precursors and several modification approaches to address limitations, such as low surface area, rapid recombination of electron holes, and low sunlight absorption. These strategies consist in converting g-C₃N₄ into various morphologies like nanosheets, mesoporous structures, nanotubes, nanowires, nanorods, quantum dots (QDs), and thin films to create 1D, 2D, and 3D structures. The review further investigates improvement strategies, including doping, defect introduction, heterojunction formation, and coupling with carbonaceous materials, which enhance g-C₃N₄ characteristics and broaden its use. These changes enable g-C₃N₄ to be applied in a wide range of photocatalytic (H₂ production, CO₂ reduction, photoinduced bacterial disinfection, and water treatment) and noncatalytic (drug delivery, H₂O₂ production, energy storage, N₂ fixation, organic synthesis, and sensor technology) applications. Addressing key challenges, such as synthesis complexity, environmental concerns, and material stability is essential, and the review outlines the prospects for future research to overcome the g-C₃N₄ limitations and realize its full potential. This review will assist researchers to understand and explore further the synthesis, modification strategies, and applications of g-C₃N₄ in energy, environment, and healthcare.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/5599894","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144929479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum to “Parametric Investigation and Univariant Optimization of Domestic Stirling Refrigerator”","authors":"","doi":"10.1155/er/9759050","DOIUrl":"https://doi.org/10.1155/er/9759050","url":null,"abstract":"<p>M. Z. Getie, F. Lanzetta, S. Bégot, B. T. Admassu, and S. Djetel-Gothe, “Parametric Investigation and Univariant Optimization of Domestic Stirling Refrigerator,” <i>International Journal of Energy Research</i> 2023 (2023): 3181171, https://doi.org/10.1155/2023/3181171.</p><p>In the article titled “Parametric Investigation and Univariant Optimization of Domestic Stirling Refrigerator,” there were errors in references [10, 15, 23, 24, 32, 33, and 38]. The titles for references [10, 15, 23, 24, 32, 33, and 38] were written in French rather than English. The corrected references are shown below:</p><p>[10] M. Z. Getie, F. Lanzetta, S. Bégot, B. T. Admassu, and A. A. Hassen, “Reversed Regenerative Stirling Cycle Machine for Refrigeration Application: A Review,” <i>International Journal of Refrigeration</i>, vol. 118, pp. 173–187, 2020. https://doi.org/10.1016/j.ijrefrig.2020.06.007.</p><p>[15] A. Batooei and A. Keshavarz, “A Gamma type Stirling refrigerator optimization: An experimental and analytical investigation,” <i>International Journal of Refrigeration</i>, vol. 91, pp. 89–100, 2018. https://doi.org/10.1016/j.ijrefrig.2018.05.024.</p><p>[23] R. Li and L. Grosu, “Parameter effect analysis for a Stirling cryocooler,” <i>International Journal of Refrigeration</i>, vol. 80, pp. 92–105, 2017. https://doi.org/10.1016/j.ijrefrig.2017.05.006.</p><p>[24] Y. Tekin and O. E. Ataer, “Performance of V-type Stirling-cycle Refrigerator for Different Working Fluids,” <i>International Journal of Refrigeration</i>, vol. 33, no. 1, pp. 12–18, 2010. https://doi.org/10.1016/j.ijrefrig.2009.08.011.</p><p>[32] H. Hachem, R. Gheith, F. Aloui, and S. B. Nasrallah, “Optimization of an Air-filled Beta Type Stirling Refrigerator,” <i>International Journal of Refrigeration</i>, vol. 76, pp. 296–312, 2017. https://doi.org/10.1016/j.ijrefrig.2017.02.019.</p><p>[33] S. Djetel-Gothe, S. Bégot, F. Lanzetta, and E. Gavignet, “Design, Manufacturing and Testing of a Beta Stirling Machine for Refrigeration Applications,” <i>International Journal of Refrigeration</i>, vol. 115, pp. 96–106, 2020. https://doi.org/10.1016/j.ijrefrig.2020.03.005.</p><p>[38] M. Z. Getie, F. Lanzetta, S. Bégot, B. T. Admassu, and S. Djetel-Gothe, “A Non-ideal Second Order Thermal Model With Effects of Losses for Simulating Beta-type Stirling Refrigerating Machine,” <i>International Journal of Refrigeration</i>, vol. 130, pp. 413–423, 2021. https://doi.org/10.1016/j.ijrefrig.2021.05.018.</p><p>We apologize for this error.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/9759050","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144923512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybrid ANN–GWO Algorithm for Improving Methane Drainage Efficiency in Cross-Measure Borehole in Underground Coal Mines","authors":"Ali Hosseini,&nbsp;Mehdi Najafi,&nbsp;Amin Hossein Morshedy","doi":"10.1155/er/1326901","DOIUrl":"https://doi.org/10.1155/er/1326901","url":null,"abstract":"<p>Methane release during mining exploitation represents a severe threat to miners’ safety. Methane gas can be removed from coal seams using predrainage and postdrainage techniques and used to generate electricity or for household purposes. One of the postdrainage methods is the cross-measure borehole method, which involves drilling boreholes from the tailgate roadway to an unstressed zone in the roof or floor layers of a mined seam. To achieve high efficiency of gas draining, predicting and determining the optimum range of design elements in gas drainage operation is necessary. The distance between the methane drainage (MD) stations is one of the most important parameters for determining the amount of gas removed. This study was conducted on the basis of the measurement data of MD in the Tabas coal mine. In this study, hybrid multilayer perceptron (MLP) neural networks and gray wolf optimizer (GWO) algorithm were employed to predict and optimize the gas drainage process. Therefore, the technical parameters of MD boreholes, including panel properties, advanced speed, and joint density, were considered. Then, a hybrid artificial neural network (ANN)–GWO algorithm was developed in the MATLAB programing environment, and the performance of the model was evaluated using statistical criteria such as regression relationships, correlation coefficients between actual and predicted values, and average relative error percentage. Applying the presented model can increase the MD efficiency to an acceptable range. The results showed an average reduction in the distance between the MD stations from 20 to 10 m (assuming that other technical parameters of the boreholes remain constant in the cross-measurer boreholes method), and the MD efficiency increases by ~20%–50%. Finally, the efficiency of gas output from the mine will be improved, and a balance will be struck between methane removed with ventilation air methane (VAM) and MD.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/1326901","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144920547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"O2 Electroreduction on Silver and Silver-Based Nanostructured Cathodes: A Review","authors":"Orest Kuntyi,&nbsp;Vasyl Skrypnychuk,&nbsp;Halyna Zozula","doi":"10.1155/er/2481690","DOIUrl":"https://doi.org/10.1155/er/2481690","url":null,"abstract":"<p>During the recent decade, the search for catalytically active cathodes of oxygen reduction reaction (ORR) for fuel cells and secondary metal–air batteries has been one of the priority directions of electrochemical energy applications. Existing highly efficient electrocatalysts based on very expensive and rare platinum (Pt) and Pt group elements need replacement with affordable and scalable electrode materials. In this article, we review the recent trends and progress in the research of ORR catalysts alternative to Pt group elements, namely, silver (Ag)-based nanostructured cathodes. The following main research directions are presented: (1) the O₂ electroreduction mechanism; (2) nanostructured and nanoporous Ag surfaces; (3) Ag nanoparticles (AgNPs) anchored to a carbon substrate; (4) Ag nanostructures deposited onto M_<i>x</i>O_<i>y</i>−carbon nanocomposites; (5) bimetallic Ag–M nanostructures. The first direction encompasses the analysis of literature data on ORR on Ag surface, which is stable in alkaline electrolytes and provides a four-electron (4e) pathway for the ORR. In the second direction, we demonstrate the dependence of electroreduction efficiency on the size and shape of AgNPs and their nanoscale porosity. The third direction is based on the enhancement of catalytic activity via designing of fine and ultrafine AgNPs attached to highly porous carbon support nanomaterials such as carbon black, mesoporous carbon (MC), reduced graphene oxide, nitrogen-doped graphene, multi-walled carbon nanotubes (MWCNTs) and nitrogen-doped carbon nanotubes (NCNTs). The fourth direction, hybrid AgNPs–M_<i>x</i>O_<i>y</i>/carbon nanocomposites, is one of the most promising for ORR applications. The catalytic activity of these nanocomposites is based on the synergy of the AgNPs–M_<i>x</i>O_<i>y</i> couple, and the nanoscale porosity of carbon materials ensures mass transport of dissolved oxygen to the electrode surface. We describe the characteristic features of electrochemical oxygen reduction for the systems of AgNPs with nanoparticles of MnO₂, ZrO₂, WO₃, Fe₃O₄ and Co₃O₄, which can tune Ag surface states. The fifth separate research direction is the use of bimetallic Ag–M nanostructures for electrocatalytic ORR. The most studied systems are binary, including Ag–Pd, Ag–Cu, Ag–Co and Ag–Ni. This review outlines the trends and prospects of future development of the Ag-based nanostructured catalytically active cathodes for oxygen reduction.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/2481690","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144914857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interaction Between Decomposed Energy Utilization and Environmental Health in Canada: A Cointegration and Counterfactual Analysis Approach","authors":"Md. Idris Ali,&nbsp;Md. Monirul Islam,&nbsp;Brian Ceh","doi":"10.1155/er/1173970","DOIUrl":"https://doi.org/10.1155/er/1173970","url":null,"abstract":"<p>Despite the substantial impact of various energy consumption parameters on the generation of nitrous oxide and methane emissions, which contribute to environmental degradation, most prior research has primarily concentrated on carbon emissions and ecological footprint metrics. This study seeks to address this void by examining the intricate link between total energy usage and its disaggregated components, including natural gas, oil, coal, renewable, and nuclear energy sources, and their role in four critical aspects of the environment in Canada. Incorporating time series data spanning from 1990 to 2022, we employ the dynamic autoregressive distributed lag (DARDL) approach, which reveals that total energy consumption, particularly from nonrenewable sources, such as coal, natural gas, and oil, contributes to environmental degradation by accelerating ecological footprint, carbon, nitrous oxide, and methane emissions. Conversely, renewable and nuclear energy sources have the opposite effect, reducing environmental decay. Additionally, counterfactual analysis examines the effects of (±) 1% and (±) 5% shocks from the predictors to predicted variables. Moreover, the study evaluates the robustness of the findings derived from the DARDL estimation technique by employing the Kernel-based Regularized Least Squares (KRLSs) machine learning algorithm. While the environmental impacts of various energy sources are well-documented, this study offers a novel contribution by analyzing the differentiated effects of both renewable and nonrenewable energy consumption on CO₂, CH₄, and N₂O emissions in a single framework, with a specific focus on the Canadian context. Unlike previous studies, this research integrates economic policy uncertainty and technological innovation as vibrant variables, revealing their distinct roles in amplifying or mitigating environmental degradation. Finally, important policy implications are discussed.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/1173970","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144910312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum to “Evaluating the Rate of Penetration With Deep-Learning Predictive Models”","authors":"","doi":"10.1155/er/9813497","DOIUrl":"https://doi.org/10.1155/er/9813497","url":null,"abstract":"<p>C. Lee, J. Kim, N. Kim, S. Ki, J. Seo, and C. Park, “Evaluating the Rate of Penetration With Deep-Learning Predictive Models,”<i>International Journal of Energy Research</i> 2025 (2025): 8872793, https://doi.org/10.1155/er/8872793.</p><p>In the article titled “Evaluating the Rate of Penetration With Deep-Learning Predictive Models,” there was an error in Figure 10. The <i>x</i>-axis titles in the images to the right in Figure 10a–c were ROP (measured) instead of ROP (predicted). The corrected figure is shown below and is listed as Figure 1:</p><p>We apologize for this error.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/9813497","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144915021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental Investigation of Conventional and MILD Combustion of Coke Oven Gas Under Different Dilution Types and Preheating Temperatures in a Long-Narrow Confined Furnace","authors":"Guocheng Wang,&nbsp;Tao Chen,&nbsp;Qingdong Wang,&nbsp;Guanghua Wang,&nbsp;Xiaoyuan Li","doi":"10.1155/er/7414757","DOIUrl":"https://doi.org/10.1155/er/7414757","url":null,"abstract":"<p>Moderate or intense low-oxygen dilution (MILD) combustion has garnered significant attention for its high temperature uniformity and ultra-low NOx emissions in recent years. To achieve ultra-low NOx emissions in the coking industry, a laboratory-scale long-narrow confined furnace (LNCF) system based on the coke oven heat flue was established to investigate the combustion characteristics of conventional and MILD combustion of coke oven gas (COG) in a long-narrow confined space. Different operating parameters (air excess ratio, dilution type and preheating temperature [<i>T</i>_ox]) were carried out. The results show that the optimal temperature uniformity is achieved at an air excess ratio of 1.2 in conventional combustion. A comparative analysis of different dilution types revealed that single-fuel dilution (SFD) and flue gas dual-dilution (FGDD) are more effective than single-air dilution (SAD) in achieving MILD combustion, and reducing the <i>T</i>_ox can result in a reduction in the critical dilution ratio (<i>θ</i>). The temperature uniformity ratio is increased in conventional combustion but reduced in MILD combustion by increasing the <i>T</i>_ox, indicating that increasing the <i>T</i>_ox effectively enhances the temperature uniformity in MILD combustion. The optimal temperature uniformity in MILD combustion can be obtained through FGDD at <i>T</i>_ox = 873 K and <i>θ</i> = 50%. FGDD is more effective for mixing intensity than SFD and SAD, promoting complete reactions between reactants and effectively reducing CO emissions. Compared with SAD, SFD, and FGDD are more conducive to achieving clean NO emissions in the MILD combustion regime. Clean MILD combustion can be achieved at 573 K ≤ <i>T</i>_ox ≤ 673 K and <i>θ</i> = 50%, regardless of the dilution type.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/7414757","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144910310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and Performance of a Gravity Water Fed In-Duct Crossflow Turbine for Hydropower Generation","authors":"Job Kitetu,&nbsp;Thomas F. N. Thoruwa,&nbsp;Isaiah Omosa","doi":"10.1155/er/7974511","DOIUrl":"https://doi.org/10.1155/er/7974511","url":null,"abstract":"<p>In Kenya, 70% of households are connected to the grid; however, the consumption of electricity, among households, has reduced by 30%. To address power accessibility inadequacy, especially in rural areas, and develop an appropriate in-duct hydropower (HP) generation system, several horizontal crossflow turbine prototypes were designed based on the field survey data collected from existing pressurized water supply ducts. An assessment carried on water supply schemes in Makueni County led to gathering and mapping required data that included; pipelines of diameters ranging from 50 to 200 mm, water pipe slopes of lengths ranging from 40 to 800 m, slope elevation heads between 14 and 183 m, and 33 potential HP sites with HP production capacity between 0.59 and 23.63 kilowatts. Various horizontal crossflow turbines were designed, fabricated, and tested for HP generation performance. The designed horizontal crossflow turbine has specifications that include a 0.99 mm diameter (<i>D</i>_o) impeller that rotates clockwise, 12.5 mm blade radius of curvature, 0.7033 turbine efficiency, turbine inner diameter of 30 mm (D30), 10 blades (B10), 100 mm diameter pipe, turbine speed of 2210 revolutions per minute (RPM) and production of 5.92 V at a head of 6 m hence making a turbine designed and designated as D30B10. It provides savings on power cost to the extent that in 7.5 years’ time, an institution would have saved enough funds to install a new station. On the basis of these findings, it was concluded that in-duct power generation technology is a promising energy harvesting system for rural communities. HP from ducts provides a paradigm shift to the rural communities’ source of energy and its use, hence reducing the use of firewood for cooking, which is at 89% and effectively reducing deforestation. More studies are recommended to prototype a full-scale product of the D30B10 turbine to improve technologies for harnessing HP from existing gravity water ducts.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/7974511","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144910311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “A Review of Membrane Electrode Assemblies for the Anion Exchange Membrane Water Electrolyser: Perspective on Activity and Stability”","authors":"","doi":"10.1155/er/9823947","DOIUrl":"https://doi.org/10.1155/er/9823947","url":null,"abstract":"<p>T. B. Ferriday, S. N. Sampathkumar, P. H. Middleton, M. L. Kolhe, and J. Van Herle, “A Review of Membrane Electrode Assemblies for the Anion Exchange Membrane Water Electrolyser: Perspective on Activity and Stability,” <i>International Journal of Energy Research</i> 2024 (2024): 7856850, https://doi.org/10.1155/2024/7856850.</p><p>In the article titled “A Review of Membrane Electrode Assemblies for the Anion Exchange Membrane Water Electrolyser: Perspective on Activity and Stability,” there was an error in Table 1. In Table 1, first column, tenth row: The unit for stack life should be in hours, not years. The corrected table is shown below:</p><p>We apologise for this error.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/9823947","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144915022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}