Next EnergyPub Date : 2025-04-01DOI: 10.1016/j.nxener.2025.100275
Shubhasmita Pati , Julian D. Osorio , Mayank Panwar , Rob Hovsapian
{"title":"Scalability analysis of heavy-duty gas turbines using data-driven machine learning","authors":"Shubhasmita Pati , Julian D. Osorio , Mayank Panwar , 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}
Next EnergyPub Date : 2025-04-01DOI: 10.1016/j.nxener.2025.100296
Zhengqiu Wu , Yunliang Yu , Jia Chen , Yuliang Liu , Chao Zou
{"title":"The impact of metal leaching in MOF materials on the evaluation of photocatalytic CO2 reduction activity – A case study","authors":"Zhengqiu Wu , Yunliang Yu , Jia Chen , Yuliang Liu , Chao Zou","doi":"10.1016/j.nxener.2025.100296","DOIUrl":"10.1016/j.nxener.2025.100296","url":null,"abstract":"<div><div>Most photocatalyzed CO<sub>2</sub> reduction systems employed visible light photosensitizer, metal-containing CO<sub>2</sub> 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 CO<sub>2</sub> reduction process was the crucial species for efficient CO<sub>2</sub> reduction in our system which utilized [Ru(bpy)<sub>3</sub>]Cl<sub>2</sub>·6H<sub>2</sub>O as photosensitizer, tri-isopropanolamine (TIPA) as sacrificial reagent and Fe-MOF as CO<sub>2</sub> reduction catalyst. FeCl<sub>3</sub> was tested as CO<sub>2</sub> reduction catalyst instead of Fe-MOF and provided 73,750 μmol g<sup>−1</sup> h<sup>−1</sup> of CO in MeCN, 329,500 μmol g<sup>−1</sup> h<sup>−1</sup> 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 Fe<sup>3+</sup>, Co<sup>2+</sup> and Ni<sup>2+</sup> provided satisfactory catalytic efficiency which indicated that the effect of metal ion leaching in Metal-organic frameworks (MOFs) contained photocatalytic CO<sub>2</sub> reduction systems should be appreciated. Furthermore, the concentration of Cl<sup>−</sup> 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":"Theoretical analysis of regenerative vehicle dampers for characterization of dynamic stability and energy management","authors":"Subhankar Chakraborty, Santanu Sharma, 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<sup>−1</sup> whereas for Ball-screw dampers is 0.22 hertz-Ω<sup>−1</sup>. 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}
Next EnergyPub Date : 2025-03-29DOI: 10.1016/j.nxener.2025.100264
Chenyang Sun , Chaofeng Hou , Lin Chen , Wenke Zhao , Yaning Zhang
{"title":"Thermodynamic properties of supercritical carbon dioxide using molecular dynamics simulation","authors":"Chenyang Sun , Chaofeng Hou , Lin Chen , Wenke Zhao , Yaning Zhang","doi":"10.1016/j.nxener.2025.100264","DOIUrl":"10.1016/j.nxener.2025.100264","url":null,"abstract":"<div><div>Supercritical carbon dioxide (scCO<sub>2</sub>) 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 scCO<sub>2</sub> 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 scCO<sub>2</sub> 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><sup>2</sup> of above 97.48%, well guiding the operation of scCO<sub>2</sub> 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}
Next EnergyPub Date : 2025-03-25DOI: 10.1016/j.nxener.2025.100265
Giulia Ronchetti, Igor Galbiati, Elisabetta Garofalo
{"title":"Analyzing wind and photovoltaic plant development toward the energy transition in Italy","authors":"Giulia Ronchetti, Igor Galbiati, Elisabetta Garofalo","doi":"10.1016/j.nxener.2025.100265","DOIUrl":"10.1016/j.nxener.2025.100265","url":null,"abstract":"<div><div>European decarbonization strategies to address climate change and reduce dependence from foreign fuels aim at favoring the use of Renewable Energy Sources (RES). Italy has implemented actions to promote RES capacity, mainly solar and wind systems, by defining RES growth targets by 2030 and streamlining authorization process for RES plants. However, since the discussion on 2030 target started, several concerns were raised by different stakeholders, including energy operators, mostly regarding conflicting policies between energy strategies and territorial planning. This paper aims to evaluate how operators are reacting to Italian Government energy strategies, to better understand the evolution of wind and solar energy sectors in Italy in relation to the expected targets and to evaluate the need for new actions toward decarbonization goals. In this study, operators’ response is represented by both RES plants installed in Italy after 2020 and new project proposals currently under authorization process. The analysis shows an increase in RES capacity in Italy from 2020 to 2023, with an increment of 7.3 GW for rooftop, 1.4 GW for ground-mounted photovoltaic plants, and 1.3 GW for wind farms. In the same period, operators submitted 1628 proposals for new utility scale plants, mostly concentrated in southern regions, totaling 77.9 GW. Despite new and proposed plants would guarantee to achieve 2030 national target, this scenario would cause an imbalance at regional level. Southern regions could face overexploitation of land, conflicting with strategies aimed at equitable effort sharing among the regions.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100265"},"PeriodicalIF":0.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685451","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}
Next EnergyPub Date : 2025-03-25DOI: 10.1016/j.nxener.2025.100266
Thiago Averaldo Bimestre , Thais Santos Castro , José Ramon Copa Rey , Valter Bruno Reis e Silva , José Luz Silveira
{"title":"Energy and exergy analysis of a supercritical water gasification system for the simultaneous production of hydrogen, heat, and electricity from sugarcane bagasse","authors":"Thiago Averaldo Bimestre , Thais Santos Castro , José Ramon Copa Rey , Valter Bruno Reis e Silva , José Luz Silveira","doi":"10.1016/j.nxener.2025.100266","DOIUrl":"10.1016/j.nxener.2025.100266","url":null,"abstract":"<div><div>The search for sustainable energy sources and the use of agricultural waste have contributed to an increase in bioenergy research. Promising alternatives include supercritical water gasification (SCWG), which can be used to convert biomass into a hydrogen-rich synthesis gas, along with other value-added products such as bio-oil and process heat. In this context, sugarcane bagasse (SCB), an abundant by-product of the Brazilian sugar-alcohol industry, emerges as a strategic feedstock due to its wide availability and economic potential. This study focuses on hydrogen production by SCWG of SCB and evaluates the cogeneration of electricity, heat, and bio-oil as a secondary by-product by modeling a plant in DWSim. Key parameters such as temperature, biomass concentration, and residence time were evaluated to determine the hydrogen yield of the system as well as its energy and exergy efficiency. In the optimal scenario (700 °C, 25 MPa, 15 wt% biomass), the process achieved a hydrogen production rate of 8.86 mol/kg, generating 38 kW of electricity, 145 kW of heat, and 41 wt% of bio-oil. Overall, this scenario resulted in an energy efficiency of 61.45% and an exergy efficiency of 52.80%, with an eco-efficiency of 394 g CO₂-eq/kWh. The largest energy losses (79.80%) occurred in the supercritical water reactor, in the heat exchangers, and in the combustion chamber, which underlines the need for further optimization of the design. The results confirm the potential of SCWG as a viable pathway for hydrogen production and advanced energy conversion from residual biomass, which is essential for highly efficient and low-carbon utilization of these resources.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100266"},"PeriodicalIF":0.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685453","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}
{"title":"Effects of light irradiation on the photovoltaic performance and crystal lattices of organic–inorganic perovskites in solar cells","authors":"Haruto Shimada , Takeo Oku , Iori Ono , Atsushi Suzuki , Hideharu Iwakuni , Tomoki Yamamoto , Kouichirou Harada","doi":"10.1016/j.nxener.2025.100263","DOIUrl":"10.1016/j.nxener.2025.100263","url":null,"abstract":"<div><div>The photodurability of unencapsulated methylammonium-based perovskite solar cells prepared with different device configurations using different precursor solution compositions was investigated. Devices with a decaphenylcyclopentasilane layer on the perovskite layer exhibited higher durability against light irradiation. The photovoltaic performance of the light-irradiated devices recovered to levels close to those before the maximum power point tracking measurements after 1 week of storage in a darkroom. Lattice expansion due to light irradiation and contraction upon storage in the dark were observed, possibly due to the displacement of the atoms and molecules. First-principles calculations on the dimethylammonium-added perovskites indicated that the activation energy for atomic diffusion was reduced, suggesting that the atoms could diffuse more rapidly as the lattice expanded under light irradiation. The photovoltaic performance improved owing to the slow migration of atoms and molecules to their original atomic sites during room-temperature aging in the dark. This study contributes to the elucidation of the recovery mechanisms of the photovoltaic properties of perovskite solar cells, which are expected as next-generation energy devices.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100263"},"PeriodicalIF":0.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685450","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}
Next EnergyPub Date : 2025-03-19DOI: 10.1016/j.nxener.2025.100258
Sudarshan L. Chavan, Manjusha A. Kanawade, Rahul S. Ankushe
{"title":"An effective passive cell balancing technique for lithium-ion battery","authors":"Sudarshan L. Chavan, Manjusha A. Kanawade, Rahul S. Ankushe","doi":"10.1016/j.nxener.2025.100258","DOIUrl":"10.1016/j.nxener.2025.100258","url":null,"abstract":"<div><div>The increasing demand for clean transportation has propelled research and development in electric vehicles (EVs), with a crucial focus on enhancing battery technologies. This paper presents a novel approach to a battery management system by implementing a passive cell balancing system for lithium-ion battery packs. The proposed system employs a proportional-integral (PI) controller to address voltage imbalances among individual cells, aiming to improve battery life and longevity without the need for a complex active control circuit. The study explores performance evaluation under diverse conditions, considering factors such as system capacity retention, energy efficiency, and overall reliability. Safety and thermal management considerations play a crucial role in the implementation, ensuring the longevity and stability of the lithium-ion battery pack. The primary objective of this research is to extend the operational life of lithium-ion batteries, reduce maintenance costs associated with battery management, and contribute to sustainable energy solutions. In the presented study, first, a Simulation model is developed in MATLAB, and the results are verified by implementing a hardware model.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100258"},"PeriodicalIF":0.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643229","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}
Next EnergyPub Date : 2025-03-13DOI: 10.1016/j.nxener.2025.100262
Nobuyuki Fujisawa
{"title":"Review: Fundamentals of liquid droplet impingement and rain erosion of wind turbine blade","authors":"Nobuyuki Fujisawa","doi":"10.1016/j.nxener.2025.100262","DOIUrl":"10.1016/j.nxener.2025.100262","url":null,"abstract":"<div><div>Leading edge erosion of wind turbine blades is a critical concern in the advancement of offshore wind turbines for power generation. This study reviews the fundamentals of liquid droplet impingement and leading edge erosion in wind turbine blades operating under rainy conditions. A central focus is on the role of peak impact pressure from droplet collisions on dry and wet walls, which significantly contributes to erosion initiation of wind turbine blades. Factors influencing this phenomenon, such as erosion initiation mechanism on metallic material, liquid film thickness, surface roughness, and droplet temperature, are analyzed to elucidate the physical mechanisms of erosion initiation in metallic materials. Furthermore, attention is paid to the prediction of erosion initiation on an actual wind turbine blade using a whirling-arm ground tester on wet wall, where the influence of the liquid film thickness on erosion initiation has to be corrected due to the scale effect of the blades.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100262"},"PeriodicalIF":0.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609764","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}
Next EnergyPub Date : 2025-03-13DOI: 10.1016/j.nxener.2025.100261
Xianhua Nie, Xuan Yao, Xinyi Zhang, Hanping Xiong, Shuai Deng, Li Zhao
{"title":"Thermal-responsive smart materials for enhanced thermoelectric power generation","authors":"Xianhua Nie, Xuan Yao, Xinyi Zhang, Hanping Xiong, Shuai Deng, Li Zhao","doi":"10.1016/j.nxener.2025.100261","DOIUrl":"10.1016/j.nxener.2025.100261","url":null,"abstract":"<div><div>Thermoelectric materials have garnered significant attention for their potential in energy conversion applications due to their ability to directly convert heat into electricity. Recent advancements in thermoelectric technology have highlighted the diverse range of applications. In particular, the integration of thermoelectric materials with thermal-responsive smart materials holds great potential for enhancing continuous energy conversion, addressing the limitations of both electronic and ionic thermoelectric materials. However, in-depth discussions on this topic remain scarce. This review explores the integration of thermal-responsive smart materials—such as shape-memory alloys, shape-memory polymers, and smart hydrogels—with thermoelectric materials, emphasizing the potential of this combination to enhance thermoelectric power generation. First, we introduce the concept of thermal-responsive materials, analysing their potential applicability in energy conversion systems. Next, we discuss the necessity of combining smart materials with thermoelectric materials, highlighting the specific advantages of such integration. Recent developments in electronic and ionic thermoelectric materials are reviewed, alongside their inherent challenges. Finally, we propose strategies for leveraging thermal-responsive smart materials to enhance thermoelectric power generation, presenting a prototype system and exploring the underlying mechanisms that facilitate efficient, continuous energy conversion. This review aims to provide valuable insights into the development of thermal-responsive smart materials and stimulate further progress in this interdisciplinary field.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100261"},"PeriodicalIF":0.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609876","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}