Next Energy最新文献

{"title":"Energy harvesting enhancement: A roadmap for systematically tuning controllers applied on synchronous generators of wind turbines","authors":"John Breno Santos Freitas ,&nbsp;Felipe Augusto Silva Martins ,&nbsp;Vinicius Foletto Montagner ,&nbsp;Paulo Jefferson Dias de Oliveira Evald","doi":"10.1016/j.nxener.2025.100268","DOIUrl":"10.1016/j.nxener.2025.100268","url":null,"abstract":"<div><div>This work presents a roadmap for tuning field oriented control (FOC) for permanent magnet synchronous generator (PMSG)-based wind turbines. A detailed discussion about how to design meta-heuristic optimizers for this task is presented, providing systematic rules to ensure that the tuning procedure returns a set of gains that result in feasible optimized controllers. Ten popular nature-inspired optimizers are implemented at the core of the controller tuning method. The 10 optimized controllers are applied in the system considering a highly stochastic wind speed profile, generated using the Shinozuka method and Kaimal spectrum under intense turbulence. Among them, the ant lion optimizer (ALO) provided the best set of gains for FOC. Compared to the tenth algorithm in the rank, the ALO-based controller ensured a reduction of 96.78% and 90.27% of mean absolute error and root mean squared error, respectively. The findings of this work contribute to the automation of the controller tuning of PMSG‐based wind turbines, enhancing its power generation with more precise current tracking using optimized FOC.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"7 ","pages":"Article 100268"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An electromagnetic-triboelectric hybrid generator (ETHG) for harvesting broadband and multi-directional vibration energy from transmission lines","authors":"Huicong Liu ,&nbsp;Zizhao Wang ,&nbsp;Yurui Shang ,&nbsp;Zhenming Li ,&nbsp;Wei Tang ,&nbsp;Zhen Li ,&nbsp;Wei Liu ,&nbsp;Mingyang Liu ,&nbsp;Yuyang Sun ,&nbsp;Yongling Lu","doi":"10.1016/j.nxener.2025.100292","DOIUrl":"10.1016/j.nxener.2025.100292","url":null,"abstract":"<div><div>Given the ubiquity of wind-induced vibrations on transmission lines, harvesting this energy to power wireless sensors is crucial for developing smart grids toward the electric Internet of Things (eIoT). This paper introduces a high-power electromagnetic-triboelectric hybrid generator (ETHG) as a self-powered solution for smart grid monitoring, addressing limitations of existing generators, including single-direction operation, narrow working bandwidth, and low output power. The ETHG utilizes an innovative pick-up unit featuring a multi-spring mass structure to harvest vibration energy from arbitrary directions and multiple frequencies ranging from 14 to 24 Hz. The electromagnetic generator (EMG) component adopts a multiple magnet-coil arrangement to generate high current and output power. The origami-inspired triboelectric nanogenerator (origami-TENG) component, made of folded conductive fabrics and conductive fabric/fluorinated ethylene propylene (FEP) elastic strips, offers advantages of ultralight and high voltage output. By seamlessly integrating a pickup unit with a hybrid power generation module featuring complementary signals, ETHG performance is enhanced in an aeolian vibration environment characterized by random, low-level excitations. Under a 1 g sweep excitation along the Z-axis with a 5-fold origami configuration, the EMG and TENG components achieve maximum voltage outputs of 3.28 and 523.8 V, with corresponding power outputs reaching 46.9 and 8.2 mW, respectively. Compared to relevant reported generators from transmission line vibrations, the normalized power density of 0.88 mW/cm³·g² is improved by one order of magnitude. A power management circuit (PMC) is proposed to efficiently manage the electromagnetic-triboelectric hybrid signals, increasing the EMG and TENG charging speeds by 172 and 333%, respectively, compared to a rectifier bridge scheme. A vibration energy harvesting system (VEHS) comprising multiple ETHGs and a PMC supports a wireless sensing system for online monitoring of temperature, humidity, and vibration of transmission lines. This work highlights the potential of ETHG as a sustainable power source for smart grids towards eIoT applications.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"7 ","pages":"Article 100292"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improvement of fuel economy and efficiency in a modified parallel hybrid electric vehicle architecture with wind turbine device: Effect of the external energy source","authors":"Maxim Idriss Meli Tametang ,&nbsp;Pavell Leandry Lekeufack Tameze ,&nbsp;Guy Bertrand Tchaya ,&nbsp;David Yemele","doi":"10.1016/j.nxener.2025.100301","DOIUrl":"10.1016/j.nxener.2025.100301","url":null,"abstract":"<div><div>This study investigates a novel hybrid electric vehicle architecture integrating a wind energy conversion system to transform part of kinetic energy of the vehicle into electrical energy to ensure real-time recharging of battery. Application of Pontryagin’s Minimum Principle yields the optimal control law, revealing that this supplementary energy source extends engine operation in pure electric driving mode, thereby reducing fuel consumption. Furthermore, this new architecture enables a substantial reduction in pollutant emissions, particularly <em>CO</em>₂, nitrogen oxides (<em>NO</em>_<em>x</em>), carbon monoxide (<em>CO</em>), and hydrocarbons (<em>HC</em>), thereby enhancing its environmental benefits. More interestingly, a threshold turbine blade radius is derived above which the vehicle can operate in pure electric mode throughout the trip. Numerical simulations and experimental validation, using a small wind turbine mounted behind a Pick-up truck, confirm the analytical findings, demonstrating the potential for wind energy harvesting to generate approximately 1000<!--> <em>W</em> of power at speeds of up to 95<!--> <em>km∕h</em>, thus paving the way for a more sustainable transportation future.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"7 ","pages":"Article 100301"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling and simulation of microfluidic electrolytic cells for CO2 electro-reduction to formic acid: The influence of a Bi-Sn catalyst and ionic liquid electrolyte on cell performance","authors":"Akan C. Offong ,&nbsp;Dawid P. Hanak","doi":"10.1016/j.nxener.2025.100276","DOIUrl":"10.1016/j.nxener.2025.100276","url":null,"abstract":"<div><div>The concentration of CO₂ in the atmosphere has recently exceeded 420 ppm and continues to rise, mainly because of the combustion of fossil fuels, contributing significantly to climate change. CO₂ capture, utilization and storage has become recognized as a critical approach to reducing energy and industrial emissions. CO₂ utilization through the electrochemical reduction route is a novel alternative to CO₂ storage. Microfluidic electrolytic cells for CO₂ electro-reduction have recently gained traction due to reduced reactor fouling and flooding rates. However, there is still limited understanding of mass transport, electrochemical interactions, and simultaneous optimization of microfluidic cell performance metrics, such as current density, Faradaic efficiency, and CO₂ conversion. This study employed COMSOL Multiphysics 5.3a to develop a steady-state numerical 2D model of microfluidic cell for electroreduction of CO₂ to HCOOH and compared the optimized performance of 2 electrolytes. Specifically, this work examined the influence of [EMIM][BF₄] (1-ethyl-3-methyl imidazolium tetra-fluoroborate) and [EMIM][CF₃COOCH₃] (1-ethyl-3-methylimidazolium tri-fluoroacetate) ionic liquid electrolytes on current density, Faradaic efficiency, and CO₂ conversion. The analysis showed that a 0.9:0.1 Bi-Sn catalyst weight ratio exhibited the highest CO₂ consumption per pass in the cathode gas channel. The model achieved a peak HCOOH current density of 183.8 mA cm⁻², Faradaic efficiency of 87% (average of 66%), and CO₂ conversion of 31.96% at −4 V compared to a standard hydrogen electrode in a microfluidic cell. Furthermore, parametric studies were conducted to determine the best input parameter for cell optimization.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"7 ","pages":"Article 100276"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143837825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hazelnut shells and rice husks activated biochars for the adsorption of atrazine and terbuthylazine","authors":"Federico Apolloni ,&nbsp;Federica Menegazzo ,&nbsp;Carla Bittencourt ,&nbsp;Michela Signoretto","doi":"10.1016/j.nxener.2025.100291","DOIUrl":"10.1016/j.nxener.2025.100291","url":null,"abstract":"<div><div>This study investigates the synthesis, characterization, and efficiency of activated biochars derived from second-generation biomasses—specifically hazelnut shells and rice husks—for remediating water contaminated with herbicides, including atrazine and terbuthylazine. These biomasses, recognized as agricultural wastes from high-yield crops, undergo a 2-step processing method: initial slow pyrolysis at 700 °C, followed by physical activation using steam at 850 °C. The resulting biochars, both in their natural and activated forms, were characterized using various analytical techniques, including elemental analysis, ash content determination, nitrogen physisorption, Fourier-transform infrared spectroscopy, and programmed temperature desorption. The adsorption capacity of the biochars was initially evaluated using trichloroethylene as a model molecule to simulate the adsorption mechanism of triazine herbicides. After determining the maximum adsorption capacity of the pollutant, adsorption tests for atrazine and terbuthylazine were conducted. The biochars adsorbed up to 93% of the 2 pollutants in the tests. These findings highlight the potential of activated biochars derived from second-generation waste biomass as an effective and sustainable alternative to conventional commercial activated carbons for purifying herbicide-contaminated water.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"7 ","pages":"Article 100291"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"3D printing of a high-performance composite solid-state electrolyte with enhanced ionic conductivity and mechanical properties","authors":"Zhantong Tu ,&nbsp;Kaiqi Chen ,&nbsp;Jiating Zheng ,&nbsp;Sijie Liu ,&nbsp;Bing Lei ,&nbsp;Xin Wu","doi":"10.1016/j.nxener.2025.100283","DOIUrl":"10.1016/j.nxener.2025.100283","url":null,"abstract":"<div><div>Polymer electrolytes exhibit advantageous processing characteristics and superior mechanical properties, making them highly promising for all-solid-state lithium battery applications. However, their low room-temperature ionic conductivity remains a major obstacle to widespread commercialization. To address this challenge, we incorporated Li_6.75La₃Zr_1.75Ta_0.25O₁₂ (LLZTO) ceramics to facilitate the structural modification of polyvinylidene fluoride (PVDF) polymer electrolytes. Furthermore, we enhanced the electrolyte film fabrication process by replacing conventional solution casting with advanced 3D printing technology. This innovative approach not only improved the ionic conductivity (8.3 × 10⁻⁴ S·cm⁻¹) and mechanical strength (16 MPa) of the electrolyte film but also enabled complex geometries, streamlining production and potentially lowering costs. To evaluate the performance of the developed electrolyte, solid-state lithium batteries with the configuration LiCoO₂|printed PVDF/LLZTO film|Li were constructed, exhibiting satisfactory rate capability and cycling stability at room temperature. Our results demonstrate that 3D-printed solid electrolytes represent a promising strategy for advancing solid-state battery technology.</div></div><div><h3>Data Availability</h3><div>The data supporting this article have been included as part of the <span><span>Supplementary Information</span></span>.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"7 ","pages":"Article 100283"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Scalability analysis of heavy-duty gas turbines using data-driven machine learning","authors":"Shubhasmita Pati ,&nbsp;Julian D. Osorio ,&nbsp;Mayank Panwar ,&nbsp;Rob Hovsapian","doi":"10.1016/j.nxener.2025.100275","DOIUrl":"10.1016/j.nxener.2025.100275","url":null,"abstract":"<div><div>With the increasing integration of variable renewable energy sources into power systems, the role of flexible power generation technologies like gas turbines (GT) in rapid grid balancing remains crucial. This sustained importance underscores the need for scaled and precise modeling of GT to ensure effective integration within evolving energy frameworks. While physics-driven GT models integrate thermodynamics, fluid dynamics, and combustion principles, they often rely on approximate mathematical representations to accommodate scaling that may not capture the actual complex dynamics for GTs and inertial effects associated to GTs with different ratings. In this study, a data-driven model is proposed using machine learning (ML) techniques to conduct GT scalability analysis and performance evaluation with high accuracy. The ML model, trained on data from various operating conditions and performance parameters, aims to uncover intricate relationships and patterns, resembling GT characteristics at different scales (ratings). The model is developed to capture complex system interaction and to adapt to changing operational scenarios at different capacities, providing valuable insights of power system dynamics. In this study, the real-time digital simulator platform was employed to generate training data for the ML model and assess its dynamic characteristics. The ultimate objective was to develop a detailed modeling framework based on governing equations and data-driven ML capable of predicting key performance indicators, in thermal systems such as GTs, including power output, speed, fuel consumption, and exhaust temperature under diverse operating conditions at different scales. The developed ML framework demonstrated high accuracy, with mean relative errors for GT power prediction, reference speed, exhaust temperature, and compressor pressure ratio (CPR) parameters consistently below 0.1% across typical load fluctuation scenarios. Maximum deviations were limited to approximately 0.5<!--> <em>K</em> for exhaust temperature and 0.009 for CPR, underscoring the model’s ability to replicating dynamic GT behavior with high precision. The adaptability of the ML model enables its application across diverse operational conditions and its extension to other thermal systems. By leveraging advanced ML techniques, this study presents a robust and scalable modeling framework that enhances GT simulation precision, facilitating improved integration into evolving power systems.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"7 ","pages":"Article 100275"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143833267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Theoretical analysis of regenerative vehicle dampers for characterization of dynamic stability and energy management","authors":"Subhankar Chakraborty,&nbsp;Santanu Sharma,&nbsp;Rupam Goswami","doi":"10.1016/j.nxener.2025.100300","DOIUrl":"10.1016/j.nxener.2025.100300","url":null,"abstract":"<div><div>In the world of electric vehicles energy recovery is a major concern for improving the mileage. One way of doing this can be recovery of road vibrations through regenerative damping. In this article, we propose a comparative analysis of 2 different types of regenerative dampers. One is Ball-screw damper and the other is Dual clutch rack and pinion damper on the basis of 2 characteristics. Firstly, analysis of impulse response to study the stability and filtration capability. Secondly, power optimization has been done to analyse the energy recovery and dissipation along with riding comfortability for different operational frequencies. The main identification parameter is the internal impedance of energy harvesting circuit. Mathematical analysis followed by simulation suggests that, in case of Dual clutch rack and pinion damper the average bandwidth to impedance ratio is 3.41 hertz-Ω⁻¹ whereas for Ball-screw dampers is 0.22 hertz-Ω⁻¹. This makes Dual clutch rack and pinion damper a good energy harvester at wider frequency ranges. However, magnitude of energy recovery is higher for Ball-screw damper dampers. The results obtained in this work would motivate other researchers to improve the functionality of both the dampers to enhance the dynamic stability and energy recovery of the vehicle.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"7 ","pages":"Article 100300"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of metal leaching in MOF materials on the evaluation of photocatalytic CO2 reduction activity – A case study","authors":"Zhengqiu Wu ,&nbsp;Yunliang Yu ,&nbsp;Jia Chen ,&nbsp;Yuliang Liu ,&nbsp;Chao Zou","doi":"10.1016/j.nxener.2025.100296","DOIUrl":"10.1016/j.nxener.2025.100296","url":null,"abstract":"<div><div>Most photocatalyzed CO₂ reduction systems employed visible light photosensitizer, metal-containing CO₂ reduction catalyst and sacrificial reagent, demonstrating excellent efficiency and high selectivity. However, the influence of metal ion leached from decomposition of trace amounts of metal-containing catalyst has rarely been discussed. Here, we discovered that leaching Fe ion from Fe-MOF during the catalyzed CO₂ reduction process was the crucial species for efficient CO₂ reduction in our system which utilized [Ru(bpy)₃]Cl₂·6H₂O as photosensitizer, tri-isopropanolamine (TIPA) as sacrificial reagent and Fe-MOF as CO₂ reduction catalyst. FeCl₃ was tested as CO₂ reduction catalyst instead of Fe-MOF and provided 73,750 μmol g⁻¹ h⁻¹ of CO in MeCN, 329,500 μmol g⁻¹ h⁻¹ in <em>N,N</em>-Dimethylformamide after 4 h of visible light irradiation. Additionally, we investigated other metal chlorides (Na, Cr, Mn, Ni et, al.) to study the effect of Fe ion. Both Fe³⁺, Co²⁺ and Ni²⁺ provided satisfactory catalytic efficiency which indicated that the effect of metal ion leaching in Metal-organic frameworks (MOFs) contained photocatalytic CO₂ reduction systems should be appreciated. Furthermore, the concentration of Cl⁻ also played a beneficial role and enhanced the catalysis process.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"7 ","pages":"Article 100296"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermodynamic properties of supercritical carbon dioxide using molecular dynamics simulation","authors":"Chenyang Sun ,&nbsp;Chaofeng Hou ,&nbsp;Lin Chen ,&nbsp;Wenke Zhao ,&nbsp;Yaning Zhang","doi":"10.1016/j.nxener.2025.100264","DOIUrl":"10.1016/j.nxener.2025.100264","url":null,"abstract":"<div><div>Supercritical carbon dioxide (scCO₂) is widely used in various industrial and energy systems, exerting profound influences on the operational efficiencies of these devices through changing their physical properties. Molecular dynamics (MD) simulation is a powerful tool to calculate the thermodynamic properties and larger simulation scales are essential for scCO₂ characterized by significant local inhomogeneities. In this study, large-scale MD simulation was used to obtain the thermodynamics properties including density, isobaric heat capacity, isochoric heat capacity, volume expansion coefficient, isothermal compression coefficient, and Joule–Thomson coefficient of scCO₂ at temperatures of 300–900 K and pressures of 7.3773–20 MPa, with average relative errors of 3.76%, 3.93%, 3.11%, 5.76%, 7.07%, and 14.24%, respectively. The corresponding Widom lines of these thermodynamic properties were obtained, and they formed an approximately fan-shaped area called “Widom line region.” The expressions of the Widom lines were fitted with <em>R</em>² of above 97.48%, well guiding the operation of scCO₂ systems.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100264"},"PeriodicalIF":0.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}