Next Energy最新文献

{"title":"Integration of geothermal power plant, water treatment plant, AWE, and PEM electrolyzer for green hydrogen production: A techno-economic study","authors":"Muhammad Alwi Husaini ,&nbsp;Prihadi Setyo Darmanto ,&nbsp;Firman Bagja Juangsa","doi":"10.1016/j.nxener.2025.100288","DOIUrl":"10.1016/j.nxener.2025.100288","url":null,"abstract":"<div><div>Green hydrogen production plays a crucial role in the global shift toward sustainable energy, offering a clean alternative to fossil fuels. However, large-scale adoption is often limited by high production costs and the intermittent availability of renewable energy sources such as solar and wind. Geothermal energy offers a promising solution by providing a stable and continuous power supply for water electrolysis. This study explores the integration of geothermal power with water treatment and electrolysis systems for green hydrogen production. Cooling tower basin water from a geothermal power plant is treated using an ultrafiltration-reverse osmosis-ion exchange mixed bed system to meet the purity requirements for electrolysis. The treated water achieves a conductivity of 1–2 μS/cm for alkaline water electrolysis (AWE) and 0.05–0.08 μS/cm for proton exchange membrane (PEM) electrolysis. A 10 MW AWE and PEM electrolyzer are modeled to produce 181.03 kg/h and 191.26 kg/h of hydrogen, respectively. The levelized cost of hydrogen is estimated at 6.52 $/kg for AWE and 6.67 $/kg for PEM, with electricity costs contributing over 64% of the total. AWE electrolysis at 10 MW requires 1616 kg/h of feed water, while PEM electrolysis requires 1709 kg/h, both supplied by the water treatment plant. Despite higher capital costs and shorter lifespans of PEM electrolyzers, water treatment costs remain minimal at 0.17% of total production costs. The findings demonstrate geothermal energy as a viable alternative to intermittent renewables for continuous hydrogen production. This study offers a techno-economic evaluation of geothermal-based hydrogen production, supporting its role in the global energy transition.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"7 ","pages":"Article 100288"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859500","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":"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":"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}

{"title":"Analyzing wind and photovoltaic plant development toward the energy transition in Italy","authors":"Giulia Ronchetti,&nbsp;Igor Galbiati,&nbsp;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}

{"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 ,&nbsp;Thais Santos Castro ,&nbsp;José Ramon Copa Rey ,&nbsp;Valter Bruno Reis e Silva ,&nbsp;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 ,&nbsp;Takeo Oku ,&nbsp;Iori Ono ,&nbsp;Atsushi Suzuki ,&nbsp;Hideharu Iwakuni ,&nbsp;Tomoki Yamamoto ,&nbsp;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}

{"title":"An effective passive cell balancing technique for lithium-ion battery","authors":"Sudarshan L. Chavan,&nbsp;Manjusha A. Kanawade,&nbsp;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}

{"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}