Next Energy最新文献_第3页

Thermal-responsive smart materials for enhanced thermoelectric power generation

Next Energy Pub Date : 2025-03-13 DOI: 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}

引用次数: 0

Optimized iridium-molybdenum oxides for acidic oxygen evolution reaction via potential control

Next Energy Pub Date : 2025-03-12 DOI: 10.1016/j.nxener.2025.100260

Siyu Chen , Hang Liu , Yue Teng , Pei Liu , Fei Song , Xinlong Li , Jia Ge , Di Wang , Xiandi Sun , Aoli Zhang , Chuan-Ling Zhang , Wai Yin Wong , Zhenbin Wang , Ya-Rong Zheng

{"title":"Optimized iridium-molybdenum oxides for acidic oxygen evolution reaction via potential control","authors":"Siyu Chen , Hang Liu , Yue Teng , Pei Liu , Fei Song , Xinlong Li , Jia Ge , Di Wang , Xiandi Sun , Aoli Zhang , Chuan-Ling Zhang , Wai Yin Wong , Zhenbin Wang , Ya-Rong Zheng","doi":"10.1016/j.nxener.2025.100260","DOIUrl":"10.1016/j.nxener.2025.100260","url":null,"abstract":"<div><div>The harsh working conditions of proton exchange membrane water electrolysis (PEMWE), particularly at the anode, necessitate the development of high-performance anode catalyst materials. Currently, iridium (Ir), one of the rarest elements on Earth, and its derived materials remain the only viable candidates with reasonable activity and stability. This limitation significantly hinders the commercialization of PEMWE technology. This study presents a nanocomposite catalyst that consists of well-dispersed Ir clusters loaded on an ultrathin phosphomolybdic acid substrate. The optimized catalyst with a low Ir loading of approximately 21 wt% exhibits an overpotential of 262 mV at 10 mA cm<sup>−2</sup> for oxygen evolution reaction in acid and a mass activity of 501 A g<sup>−1</sup><sub>Ir</sub> at 300 mV overpotential, which is one order of magnitude higher than that of commercial Ir black. A PEMWE device using the developed catalyst with an Ir loading of 0.6 mg cm<sup>−2</sup> can drive a current density of 1 A cm<sup>−2</sup> at 1.72 V and demonstrates a degradation rate of 0.20 mV h<sup>−1</sup> over 250 h operation at 0.5 A cm<sup>−2</sup>. The catalyst dissolution rate analysis reveals that mitigating the open-circuit potential of molybdenum-based supports is crucial for minimizing material dissolution. The potential control electrochemical system offers a potential strategy for developing cost-effective catalysts for electrolysis.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100260"},"PeriodicalIF":0.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601722","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}

引用次数: 0

Plasma electrolytic oxidation (PEO) layers grown on metals and alloys as supported photocatalysts

Next Energy Pub Date : 2025-03-03 DOI: 10.1016/j.nxener.2025.100259

Viswanathan S. Saji

{"title":"Plasma electrolytic oxidation (PEO) layers grown on metals and alloys as supported photocatalysts","authors":"Viswanathan S. Saji","doi":"10.1016/j.nxener.2025.100259","DOIUrl":"10.1016/j.nxener.2025.100259","url":null,"abstract":"<div><div>Plasma electrolytic oxidation (PEO) is a remarkable electrochemical approach that has been extensively researched to develop adherent conversion oxide layers on metals and alloys. These oxide layers, developed on firm conducting support, have been notably investigated for their photocatalytic applications. The TiO<sub>2</sub> layers developed on titanium and its alloys have been extensively studied. The PEO of aluminum, magnesium, zinc, niobium, zirconium, tantalum, and steel have also been explored. The catalytic activity of the developed oxide layer can be boosted by various approaches, such as doping and heterojunction formation via in-situ integration or post-impregnation of the active components. The present review comprehensively accounts for PEO-derived photocatalysts in different applications, providing a reliable source of information for researchers in the field. The sections are classified based on the base substrate metal used for PEO. The role of PEO parameters in deciding the developed layers' photocatalytic activity is discussed. Doping/heterojunctions with nonmetals, transition/post-transition metals, precious metals, rare earths, nanocarbons, and others are detailed.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100259"},"PeriodicalIF":0.0,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548422","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}

引用次数: 0

A one-pot solvothermal method for the synthesis of a magnetically retrievable ZnFe2O4 incorporated biphase TiO2 photocatalyst for robust efficient solar fuel (hydrogen) production

Next Energy Pub Date : 2025-02-28 DOI: 10.1016/j.nxener.2025.100254

Hafeez Yusuf Hafeez , Khalifa Bala , Umar Muhammad Dankawu , Jibrin Mohammed , Abdussalam Balarabe Suleiman , Chifu Ebenezer Ndikilar , Rabia Salihu Sa’id , Ibrahim Muhammad

{"title":"A one-pot solvothermal method for the synthesis of a magnetically retrievable ZnFe2O4 incorporated biphase TiO2 photocatalyst for robust efficient solar fuel (hydrogen) production","authors":"Hafeez Yusuf Hafeez , Khalifa Bala , Umar Muhammad Dankawu , Jibrin Mohammed , Abdussalam Balarabe Suleiman , Chifu Ebenezer Ndikilar , Rabia Salihu Sa’id , Ibrahim Muhammad","doi":"10.1016/j.nxener.2025.100254","DOIUrl":"10.1016/j.nxener.2025.100254","url":null,"abstract":"<div><div>In response to the worldwide energy problem and environmental contamination that hinders any society's ability to develop. Herein, a 1-pot solvothermal approach was used to fabricate a ZnFe<sub>2</sub>O<sub>4</sub> integrated biphase TiO<sub>2</sub> photocatalyst for use in solar fuel (hydrogen) generation. Using glycerol as a hole-scavenger, the synthesized material is exposed to solar light and tested for hydrogen generation. Following the addition of ZnFe<sub>2</sub>O<sub>4</sub> to the TiO<sub>2</sub>, a significant photoluminescence (PL) quenching and band gap reduction from 3.20 to 2.51 eV were noted. In total, 30 wt% ZnFe<sub>2</sub>O<sub>4</sub> produces a peak solar fuel (hydrogen) generation rate of 879.8 μmol g<sup>−1</sup> h<sup>−1</sup>, which is 7.3 and 9.5 times higher than TiO<sub>2</sub> and ZnFe<sub>2</sub>O<sub>4</sub>, respectively. It is worthy to mention that the optimized photocatalyst yielded a solar-to-hydrogen conversion efficiency of 1.01%. This notable enhancement is associated with band gap reduction, PL quenching, and heterostructured creation between ZnFe<sub>2</sub>O4 and TiO<sub>2</sub>. It is worthwhile to bring up here. It is important to note that, while utilizing the same photocatalyst, our findings are noticeably better than those that have been previously reported. Using solar light, this work has shown a potential method for synthesizing a ZnFe<sub>2</sub>O<sub>4</sub>-TiO<sub>2</sub>-based photocatalyst for use in energy and environmental remediation.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100254"},"PeriodicalIF":0.0,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512481","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}

引用次数: 0

Developing N, S-doped hierarchical porous carbon-supported Pt catalysts for hydrothermal gasification of woody biomass to hydrogen

Next Energy Pub Date : 2025-02-27 DOI: 10.1016/j.nxener.2025.100257

Shahbaz Hussain , Sibel Irmak , Muhammad Usman Farid

{"title":"Developing N, S-doped hierarchical porous carbon-supported Pt catalysts for hydrothermal gasification of woody biomass to hydrogen","authors":"Shahbaz Hussain , Sibel Irmak , Muhammad Usman Farid","doi":"10.1016/j.nxener.2025.100257","DOIUrl":"10.1016/j.nxener.2025.100257","url":null,"abstract":"<div><div>Hydrogen is a promising clean fuel with 0 carbon emission; only byproduct released from its use is water. The current large-scale hydrogen production methods are expensive and do not meet sustainability criteria. Finding alternative but cheaper sustainable ways for hydrogen production is important, and the catalyst plays a key role in this process. This study was designed to develop hierarchical porous carbons (HPCs)-based catalysts to enhance hydrogen production yield from lignocellulosic biomass by hydrothermal gasification. HPCs were synthesized from widely available waste materials, forest-based woody biomass, and poultry feathers with a promising approach (use of solubilized fractions of the precursors rather than direct carbonization of their solid forms, performing in-situ heteroatom doping and enhancing the porosity of the carbon by using a gas-forming salt, etc.). The HPC prepared from biomass/chicken feather mixture in the presence of a gas-forming salt, NaHCO<sub>3</sub>, was the most promising carbon because of its high porosity structure with pore size ranging from ∼65 nm to ∼1.8 µm, and the 80% of the pores was around 200–450 nm. The specific surface area of the catalyst prepared by deposition of Pt particles on this carbon was found to be 3200 m<sup>2</sup>/g with an average pore size of 2.3 nm. On the other hand, the HPC prepared in the absence of NaHCO<sub>3</sub> had 2900 m<sup>2</sup>/g surface area and 1.8 nm average pore size. The hydrogen production activity of HPC-with NaHCO<sub>3</sub>/Pt catalyst was found to be 23.81 ml H<sub>2</sub>/mg Pt, which was the highest activity among the catalysts tested. This was attributed to the highly porous structure and the presence of sodium or sodium-containing species (e.g., Na<sub>2</sub>O) in the carbon network. The findings of this study have the potential to open new catalytic opportunities for different reactions using HPCs-based multifunctional catalysts.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100257"},"PeriodicalIF":0.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510167","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}

引用次数: 0

Electrochemically activated carbon nanotube anodes for enhanced microbial fuel cell performance

Next Energy Pub Date : 2025-02-27 DOI: 10.1016/j.nxener.2025.100255

Yanxia Wang , Miao Yu , Yuhang Wang , Zhuo Ma , Yunfeng Qiu , Changzhu Lv , Shengze Yu , Shaoqin Liu

{"title":"Electrochemically activated carbon nanotube anodes for enhanced microbial fuel cell performance","authors":"Yanxia Wang , Miao Yu , Yuhang Wang , Zhuo Ma , Yunfeng Qiu , Changzhu Lv , Shengze Yu , Shaoqin Liu","doi":"10.1016/j.nxener.2025.100255","DOIUrl":"10.1016/j.nxener.2025.100255","url":null,"abstract":"<div><div>Carbon nanotube (CNT) modified anodes in microbial fuel cells (MFCs) face limitations in startup time and power output due to slow microorganism colonization and poor extracellular electron transfer (EET). This is often caused by the hydrophobic nature and low specific capacitance of high-temperature synthesized CNTs. This study presents a novel approach to overcome these limitations by developing a hydrophilic and high-capacitance anode using electrochemically activated iron and nitrogen-doped CNTs (A-FeNCNTs) on carbon cloth (CC). A-FeNCNTs@CC demonstrates significantly improved biocompatibility and charge storage capacity compared to pristine CC. In MFC tests using mixed cultures, A-FeNCNTs@CC achieved a faster startup time of 1.8 days (1.5 days shorter than CC) and a higher power density of 3.07 W/m<sup>2</sup> (about 1.58 times that of the CC anode). Additionally, chemical oxygen demand (COD) removal efficiency reached 91.82%, surpassing CC (74.93%). The enhanced performance is attributed to the synergistic effects of increased hydrophilicity and capacitance, promoting robust biofilm formation and efficient EET. This work establishes a promising strategy for tailoring the physicochemical properties of carbon-based anodes, leading to significant advancements in MFC performance and demonstrating the potential of A-FeNCNTs@CC for enhanced bioelectricity generation and wastewater treatment.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100255"},"PeriodicalIF":0.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510168","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}

引用次数: 0

A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models

Next Energy Pub Date : 2025-02-26 DOI: 10.1016/j.nxener.2025.100256

Hussein Mohammed Ridha , Hashim Hizam , Seyedali Mirjalili , Mohammad Lutfi Othman , Mohammad Effendy Ya’acob , Noor Izzri Bin Abdul Wahab , Masoud Ahmadipour

{"title":"A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models","authors":"Hussein Mohammed Ridha , Hashim Hizam , Seyedali Mirjalili , Mohammad Lutfi Othman , Mohammad Effendy Ya’acob , Noor Izzri Bin Abdul Wahab , Masoud Ahmadipour","doi":"10.1016/j.nxener.2025.100256","DOIUrl":"10.1016/j.nxener.2025.100256","url":null,"abstract":"<div><div>The renewable energy system has yielded substantial enhancements to worldwide power generation. Therefore, precise prediction of long-term renewable energy conductivity is vital for grid system. This study introduces a new predictive output current for the photovoltaic (PV) system using actual experimental data. This research proposes three key contributions: The IMGO method is enhanced using several hybrid tactics to improve local search capabilities and increase exploration of significant regions within the feature space. Subsequently, the architecture of the multilayer feedforward artificial neural network is developed. The IMGO is employed to determine the appropriate hyperparameters of the model, ranging from the number of neurons in the hidden layers and learning rate. The Bayesian regularization backpropagation procedure is applied to update the weights and bias of the network. The proposed IMGO<sub>MFFNN</sub> model is ultimately combined with Polynomial regression model to improve the predictability of the PV system. The experimental results demonstrated that the proposed IMGO algorithm is very effective in addressing complex problems with high accuracy, capability, and speedy convergence. The proposed hybrid IMGO<sub>PMFFNN</sub> model proved its superior correlation evaluations, surpassing the performance of ant lion optimizer based on random forest (ALO<sub>RF</sub>) model, two stages of ANN (ALO<sub>2ANN</sub>) model, long short-term memory (LSTM), gated recurrent unit (GRU), extreme learning machine (ELM), least square support vector machine (LSSVM), and convolutional neural network (CNN) models. The MATLAB code of the IMGO is free available at: <span><span>https://www.mathworks.com/matlabcentral/fileexchange/177214-improved-mgo-method</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100256"},"PeriodicalIF":0.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488234","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}

引用次数: 0

AI-ML techniques for green hydrogen: A comprehensive review

Next Energy Pub Date : 2025-02-26 DOI: 10.1016/j.nxener.2025.100252

Mamta Motiramani , Priyanshi Solanki , Vidhi Patel , Tamanna Talreja , Nainsiben Patel , Divya Chauhan , Alok Kumar Singh

引用次数: 0

Transforming waste into resource: Enhanced hydrogen evolution with plasma-treated carbon fiber

Next Energy Pub Date : 2025-02-22 DOI: 10.1016/j.nxener.2025.100253

Wenyan Zhang , Weidong Tao , Yihan Wang , Chaoqun Jiang , Hangmin Guan , Yingfei Hu , Wenjie Tian , Linyun Hao

{"title":"Transforming waste into resource: Enhanced hydrogen evolution with plasma-treated carbon fiber","authors":"Wenyan Zhang , Weidong Tao , Yihan Wang , Chaoqun Jiang , Hangmin Guan , Yingfei Hu , Wenjie Tian , Linyun Hao","doi":"10.1016/j.nxener.2025.100253","DOIUrl":"10.1016/j.nxener.2025.100253","url":null,"abstract":"<div><div>The increasing global dependence on fossil fuels has led to significant energy crises and environmental issues, highlighting the urgent need for renewable energy sources such as hydrogen. This study presents the development of plasma-treated carbon fiber loaded with Pt (P-CF@Pt) to improve photocatalytic hydrogen evolution. The plasma treatment creates surface functional groups that enhance the hydrophilicity of the carbon fibers (CFs), promoting better dispersion in liquid reaction systems and facilitating Pt loading. This interaction between the treated CF surface and the Pt sites significantly boosts charge separation and catalytic performance, resulting in improved photovoltage, lower onset potential for proton reduction, and enhanced electron transport. The P-CF@Pt composite demonstrates better photocatalytic efficiency compared to untreated CF, achieving a 23% increase in hydrogen production. These findings underscore the promise of utilizing plasma-treated CFs in the development of cost-effective and scalable photocatalytic systems for hydrogen generation.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100253"},"PeriodicalIF":0.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471438","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}

引用次数: 0

Voltage estimation of layered cathode materials LiMO2 (M=Al, Mn, Co, Ni, Cu, Zn) for lithium-ion batteries by using Compton profiles

Next Energy Pub Date : 2025-02-18 DOI: 10.1016/j.nxener.2025.100249

Chunxia Gong , Hiroshi Sakurai , Yosuke Amada , Tomoya Ando , Manabu Takahashi

引用次数: 0