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Ni(CN)2@NiS anchored on graphitic carbon nitride as an advanced functional electrode for self-powered hydrazine-assisted hydrogen generation Ni(CN)2@NiS锚定在石墨氮化碳上作为自供电肼辅助制氢的先进功能电极
IF 8.3 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-12-12 DOI: 10.1016/j.ijhydene.2025.152831
Boka Fikadu Banti , Hyojin Kang , Sohrab Asgaran , Birhanu Bayissa Gicha , Marianna Gniadek , Mahendra Goddati , Cheru Fekadu , Njemuwa Nwaji , Jaebeom Lee
The anodic substitution of a sluggish oxygen evolution reaction with a more energy-saving hydrazine oxidation reaction has the potential to greatly reduce energy consumption for hydrogen production. However, the underlying mechanism of the hydrazine oxidation reaction remains ambiguous, and the existing hydrazine splitting generally requires an external power source to drive the anodic and cathodic reactions, which is not suitable for outdoor applications. In this study, we have developed a heterostructure sulfide-based catalyst that effectively catalyzes both hydrazine oxidation and hydrogen evolution reactions. Through in situ Raman spectroscopy, we have confirmed that the breakage of the nitrogen-nitrogen single bond is a pathway for the hydrazine oxidation reaction. The enhanced electrocatalytic performance is attributed to the increased active sites and accelerated electron transfer within the heterostructures, which reduced the energy barrier, thereby enabling the fabricated electrolyzer using the g-C3N4/Ni(CN)2@NiS catalyst to deliver 200 mA cm−2 with a low voltage of 0.31 V. The assembled electrolyzer can be powered by a g-C3N4/Ni(CN)2@NiS anode-equipped direct hydrazine fuel cell, achieving self-powered hydrogen production with faradaic efficiency of more than 97 %.
用更节能的肼氧化反应阳极取代缓慢的析氧反应有可能大大降低制氢的能耗。然而,联氨氧化反应的潜在机制尚不清楚,现有的联氨裂解一般需要外部电源驱动阳极和阴极反应,不适合室外应用。在这项研究中,我们开发了一种异质结构硫化物催化剂,可以有效地催化肼氧化和析氢反应。通过原位拉曼光谱,我们证实了氮-氮单键的断裂是肼氧化反应的一个途径。电催化性能的增强是由于异质结构中活性位点的增加和电子转移的加速,从而降低了能量势垒,从而使使用g-C3N4/Ni(CN)2@NiS催化剂的电解槽在0.31 V的低电压下提供200 mA cm - 2。组装的电解槽可以由配备g-C3N4/Ni(CN)2@NiS阳极的直接肼燃料电池供电,实现自供电制氢,法拉第效率超过97%。
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引用次数: 0
Magnesium-waste for as a green hydro-reactive material in hydrogen production: Modification, hydrolysis, cost and environmental impact assessment 作为绿色氢反应原料的镁废料:改性、水解、成本和环境影响评价
IF 8.3 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-12-12 DOI: 10.1016/j.ijhydene.2025.152929
Merve Yılmam , Bilge Coşkuner Filiz , Aysel Kantürk Figen
In this study, waste magnesium (Mg) chips as a green hydro-reactive material in hydrogen production evaluated by modification, hydrolysis, cost, and environmental impact assessment. Mg chips modified via ball milling or mixing with additives such as sodium formate (SF), formic acid (FA), and acetic acid (AA) and tested through controlled hydrolysis experiments. Mg-based hydro-reactive materials coded as M−9 modified by ball-milling with FA and mixing with AA showed improved hydrogen production rate up to 4000 mL H2 min−1 g−1 and yield of 900 mL H2 g−1. Furthermore, a detailed environmental impact and cost assessment performed to evaluate the feasibility of proposed system as green and economically viable route for hydrogen production. The green modification procedure of M − 9 had 12.32 MJ kg−1, 1.66 kg CO2 kg−1, 59.29 kg CO2eq kg−1 of environmental impact assessment of process values and greenness index of 0.73.
本研究从改性、水解、成本和环境影响评价等方面对废镁片作为绿色氢反应材料在制氢中的应用进行了评价。通过球磨或与甲酸钠(SF)、甲酸(FA)和乙酸(AA)等添加剂混合对镁片进行改性,并通过受控水解实验进行测试。经FA球磨和AA混合改性的mg基氢反应材料M−9的产氢率可达4000 mL H2 min - 1 g−1,产氢率可达900 mL H2 g−1。此外,还进行了详细的环境影响和成本评估,以评估拟议系统作为绿色和经济可行的制氢途径的可行性。M−9绿色改性工艺的环境影响评价值为12.32 MJ kg−1,1.66 kg CO2 kg−1,59.29 kg CO2eq kg−1,绿色指数为0.73。
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引用次数: 0
Effects of hydrogen addition on soot formation and radiative characteristics of oxygen-enriched ethylene laminar inverse diffusion flame 加氢对富氧乙烯层流反扩散火焰烟尘形成及辐射特性的影响
IF 8.3 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-12-12 DOI: 10.1016/j.ijhydene.2025.151948
Pei Shi, Jinyu Zhu, Guanghai Liu, Yuying Liu
In order to optimize combustion processes, it is necessary to have a detailed understanding of the effects of fuel and oxidizer composition on flame. In this work, 18 ethylene coaxial laminar inverse diffusion flames are constructed to investigate the influence of hydrogen and oxygen concentrations on the soot formation and radiative heat transfer. The results show that, as the hydrogen content increases, the flame peak temperature rises, and the increase in peak temperature weakens at higher oxygen indices (OIs). Hydrogen addition significantly decreases the peak soot volume fraction (SVF) due to the inhibition of PAH condensation, and hydrogen has less effect on peak SVF as the OI increases. For flames without hydrogen addition, two regions of high radiative source terms can be found, which are dominated by gaseous species and soot particles, respectively. With the addition of hydrogen, the radiative source terms in both zones decrease due to lower CO2 concentration and SVF, and the impact of hydrogen on maximum radiative source term increases at higher OIs. These findings provide guidance on the use of hydrogen-hydrocarbon hybrid fuels in oxygen-enriched IDF systems, balancing synergistic soot suppression while maintaining thermal efficiency.
为了优化燃烧过程,有必要详细了解燃料和氧化剂成分对火焰的影响。本文构建了18个乙烯同轴层流反扩散火焰,研究了氢氧浓度对烟尘形成和辐射传热的影响。结果表明:随着氢含量的增加,火焰峰值温度升高,且在高氧指数(oi)处峰值温度的升高减弱;加氢抑制了多环芳烃的缩聚,显著降低了峰值烟尘体积分数(SVF),随着OI的增加,氢对峰值SVF的影响较小。对于未加氢的火焰,可以发现两个高辐射源项区域,分别以气态和烟尘颗粒为主。随着氢的加入,两个区域的辐射源项由于CO2浓度和SVF的降低而减小,在较高的OIs下,氢对最大辐射源项的影响增大。这些发现为在富氧IDF系统中使用氢-烃混合燃料提供了指导,在保持热效率的同时平衡协同抑烟。
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引用次数: 0
Numerical simulation study on the effect of key parameters and gradient porous transport layer on the performance of proton exchange membrane water electrolyzer 关键参数及梯度多孔传输层对质子交换膜水电解槽性能影响的数值模拟研究
IF 8.3 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-12-12 DOI: 10.1016/j.ijhydene.2025.152931
Qinghui Zeng , Xiaohong Yang , Erjun Bu , Feng Ji , Fanhang Yuan , Yuan Jin , Kui Xi , Xiaoyu Gao , Chunhui Li
Proton exchange membrane electrolyzer cell (PEMEC) effectively mitigate power fluctuations in renewable energy systems due to its rapid dynamic response and broad operational range. However, oxygen accumulation under the rib region of the porous transport layer (PTL) impairs mass transfer uniformity and reduces overall efficiency. In this study, a multi-physics numerical model is established to parametrically analyzed the effects of operating temperature, velocity, water saturation, channel/rib width ratio, PTL porosity, contact angle, permeability, thickness, and proton exchange membrane (PEM) thickness on PEMEC performance. Novel PTL designs of gradient porosity (Cases 1–5), gradient contact angle (Cases 6–10), and gradient porosity synergy gradient contact angle configuration (Case 11) are proposed. Results reveal that an operating temperature of 80 °C, inlet velocity of 0.5 m/s, water saturation of 0.9, PTL thickness of 200 μm, and PEM thickness of 25 μm contribute to higher energy efficiency but also lead to more pronounced non-uniformity at the anode catalyst layer (ACL)/PEM interface. However, channel/rib width ratio of 3:1, PTL porosity of 0.7, permeability of 5 × 10−12 m2, and contact angle of 15° can effectively enhance uniform mass transfer and energy efficiency. Notably, the Case 11 configuration increases the average current density by 7.84 %, improves the uniformity of the current density at the ACL/PEM interface by 7.15 %, decreases the concentration voltage by 4.16 %, and increases the energy efficiency by 3.06 %. These findings provide a comprehensive understanding of the operation and the direction for structural optimization, and the PTL dual-gradient strategy offers a promising approach for advanced engineering in high-performance PEMEC applications.
质子交换膜电解槽(PEMEC)具有动态响应快、工作范围广的特点,能有效缓解可再生能源系统中的功率波动。然而,在多孔输运层(PTL)肋区的氧积累损害了传质均匀性,降低了整体效率。本文建立了一个多物理场数值模型,参数化分析了操作温度、速度、含水饱和度、通道/肋宽比、PTL孔隙度、接触角、渗透率、厚度和质子交换膜(PEM)厚度对PEMEC性能的影响。提出了梯度孔隙度(案例1-5)、梯度接触角(案例6-10)和梯度孔隙度协同梯度接触角配置(案例11)的新型PTL设计。结果表明,当工作温度为80℃,入口速度为0.5 m/s,含水饱和度为0.9,PTL厚度为200 μm, PEM厚度为25 μm时,效率更高,但阳极催化剂层(ACL)/PEM界面的不均匀性更明显。而通道/肋宽比为3:1、PTL孔隙度为0.7、渗透率为5 × 10−12 m2、接触角为15°时,可以有效提高均匀传质和能量效率。值得注意的是,Case 11结构使平均电流密度提高了7.84%,使ACL/PEM界面的电流密度均匀性提高了7.15%,使浓度电压降低了4.16%,使能量效率提高了3.06%。这些发现提供了对操作和结构优化方向的全面理解,PTL双梯度策略为高性能PEMEC应用的高级工程提供了一种有前途的方法。
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引用次数: 0
TensorFlow-based deep learning framework for thermodynamic and entropy generation analysis of dihydrogen oxide-based nanofluids 基于tensorflow的深度学习框架,用于氧化二氢纳米流体的热力学和熵生成分析
IF 8.3 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-12-12 DOI: 10.1016/j.ijhydene.2025.152947
Jamshaid Iqbal , Yasir Akbar
<div><div>Hybrid nanofluids are able to be optimized for heat transport and pressure drop characteristics by utilizing their significant aspect ratio, advanced thermal systems and the combined effects of nanomaterials, while thoroughly considering the advantages and disadvantages of each suspension. Therefore, this study investigates the entropy production and the thermal characteristic of two dimensional electrically conducting peristaltic transport of dihydrogen oxide based hybrid nanofluids (<span><math><mrow><mi>H</mi><mi>N</mi><mi>F</mi><mi>s</mi></mrow></math></span>). The dihydrogen oxide based <span><math><mrow><mi>H</mi><mi>N</mi><mi>F</mi><mi>s</mi></mrow></math></span> are essential for improving thermal performance by increasing thermal conductivity of the foundational fluids, thus simultaneously decreasing energy losses related with irreversibility. The current analysis considers various physical effects, including Hall current, velocity slip, Ohmic heating, viscous dissipation, thermal radiation, porous medium, and thermal slip boundary conditions. This analysis presents a new mathematical model designed to enhance energy management in hybrid nanofluids based on dihydrogen oxide base fluid. To the best of our knowledge, this research presents a novel concept and is unique in the literature. The leading equations are simplified in accordance with the physical constraints of lubrication theory and a dimensionless approach. The Homotopy Perturbation Method (HPM) is used to tabulate the solutions to finalized relations that involve highly complicated partial differential equations. Moreover, series solutions for velocity and temperature profiles are validated through numerical schemes. Additionally, a mathematical and graphical analysis of all relevant dimensionless factors on velocity, entropy production, and temperature profiles is presented. The streamlines and isotherms analysis are also taken into account. Furthermore, a Deep Neural Network (DNN) model was implemented in <em>Python</em> using <em>TensorFlow 2.18</em> and is employed to train the datasets obtained from analytical solutions for all related profiles. A DNN architecture consisted of an input layer with six neurons, two hidden layers with 100 neurons in each and an output layer with three neurons. To enhance learning efficiency and convergence, the <em>ReLU</em> activation function and Adam optimizer are employed. Predictive accuracy is rigorously evaluated by using statistical metrics. The findings reveal the substantial influence of both magnetic and thermal factors and hence suggest new ways for improving the heat transfer characteristics of dihydrogen oxide-based <span><math><mrow><mi>H</mi><mi>N</mi><mi>F</mi><mi>s</mi></mrow></math></span>. The outcomes reveal that the velocity of dihydrogen oxide-based <span><math><mrow><mi>H</mi><mi>N</mi><mi>F</mi><mi>s</mi></mrow></math></span> decreases near the middle of the channel for greater values of the Hartmann number,
混合纳米流体能够通过利用其显著的长径比、先进的热系统和纳米材料的综合效应来优化热传递和压降特性,同时充分考虑每种悬浮液的优缺点。因此,本研究研究了基于氧化二氢的混合纳米流体(HNFs)二维导电蠕动输运的熵产和热特性。基于二氢氧化物的hnf通过增加基础流体的导热性来改善热性能,从而同时减少与不可逆性相关的能量损失。电流分析考虑了各种物理效应,包括霍尔电流、速度滑移、欧姆加热、粘性耗散、热辐射、多孔介质和热滑移边界条件。本文提出了一种新的数学模型,旨在增强基于氧化二氢基流体的混合纳米流体的能量管理。据我们所知,这项研究提出了一个新颖的概念,在文献中是独一无二的。根据润滑理论的物理约束和无因次方法,对前导方程进行了简化。采用同伦摄动法(HPM)对高度复杂的偏微分方程的定形关系的解进行了制表。此外,通过数值格式验证了速度和温度剖面的级数解。此外,对速度、熵产和温度分布的所有相关无量纲因素进行了数学和图形分析。还考虑了流线和等温线分析。此外,使用TensorFlow 2.18在Python中实现深度神经网络(DNN)模型,并用于训练从所有相关配置文件的分析解中获得的数据集。DNN架构由一个包含6个神经元的输入层、两个包含100个神经元的隐藏层和一个包含3个神经元的输出层组成。为了提高学习效率和收敛性,采用了ReLU激活函数和Adam优化器。通过使用统计度量严格评估预测准确性。研究结果揭示了磁因素和热因素对其传热特性的重要影响,从而为改善氧化二氢基hnf的传热特性提供了新的途径。结果表明,随着哈特曼数的增大,氧化二氢基HNFs在通道中部附近的速度减小,而熵产和温度分布则随着哈特曼数的增大而上升。Saba等人(2022)也发现了类似的结果。此外,通过误差直方图、均方误差(MSE)、训练和验证数据回归图、均方根误差(RMSE)、输入与误差的相关指数、实际值与预测值的绝对误差以及MSE时代的检验等不同图来评估DNN模型的准确性和性能。
{"title":"TensorFlow-based deep learning framework for thermodynamic and entropy generation analysis of dihydrogen oxide-based nanofluids","authors":"Jamshaid Iqbal ,&nbsp;Yasir Akbar","doi":"10.1016/j.ijhydene.2025.152947","DOIUrl":"10.1016/j.ijhydene.2025.152947","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Hybrid nanofluids are able to be optimized for heat transport and pressure drop characteristics by utilizing their significant aspect ratio, advanced thermal systems and the combined effects of nanomaterials, while thoroughly considering the advantages and disadvantages of each suspension. Therefore, this study investigates the entropy production and the thermal characteristic of two dimensional electrically conducting peristaltic transport of dihydrogen oxide based hybrid nanofluids (&lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;H&lt;/mi&gt;&lt;mi&gt;N&lt;/mi&gt;&lt;mi&gt;F&lt;/mi&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;). The dihydrogen oxide based &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;H&lt;/mi&gt;&lt;mi&gt;N&lt;/mi&gt;&lt;mi&gt;F&lt;/mi&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; are essential for improving thermal performance by increasing thermal conductivity of the foundational fluids, thus simultaneously decreasing energy losses related with irreversibility. The current analysis considers various physical effects, including Hall current, velocity slip, Ohmic heating, viscous dissipation, thermal radiation, porous medium, and thermal slip boundary conditions. This analysis presents a new mathematical model designed to enhance energy management in hybrid nanofluids based on dihydrogen oxide base fluid. To the best of our knowledge, this research presents a novel concept and is unique in the literature. The leading equations are simplified in accordance with the physical constraints of lubrication theory and a dimensionless approach. The Homotopy Perturbation Method (HPM) is used to tabulate the solutions to finalized relations that involve highly complicated partial differential equations. Moreover, series solutions for velocity and temperature profiles are validated through numerical schemes. Additionally, a mathematical and graphical analysis of all relevant dimensionless factors on velocity, entropy production, and temperature profiles is presented. The streamlines and isotherms analysis are also taken into account. Furthermore, a Deep Neural Network (DNN) model was implemented in &lt;em&gt;Python&lt;/em&gt; using &lt;em&gt;TensorFlow 2.18&lt;/em&gt; and is employed to train the datasets obtained from analytical solutions for all related profiles. A DNN architecture consisted of an input layer with six neurons, two hidden layers with 100 neurons in each and an output layer with three neurons. To enhance learning efficiency and convergence, the &lt;em&gt;ReLU&lt;/em&gt; activation function and Adam optimizer are employed. Predictive accuracy is rigorously evaluated by using statistical metrics. The findings reveal the substantial influence of both magnetic and thermal factors and hence suggest new ways for improving the heat transfer characteristics of dihydrogen oxide-based &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;H&lt;/mi&gt;&lt;mi&gt;N&lt;/mi&gt;&lt;mi&gt;F&lt;/mi&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt;. The outcomes reveal that the velocity of dihydrogen oxide-based &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;H&lt;/mi&gt;&lt;mi&gt;N&lt;/mi&gt;&lt;mi&gt;F&lt;/mi&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; decreases near the middle of the channel for greater values of the Hartmann number,","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"201 ","pages":"Article 152947"},"PeriodicalIF":8.3,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145735684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
T-graphene nanotube: A promising candidate for H2 storage application t -石墨烯纳米管:一种很有前途的储氢材料
IF 8.3 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-12-12 DOI: 10.1016/j.ijhydene.2025.152932
Mohammad Tanvir Ahmed , Debashis Roy , Abdullah Al Roman , Farid Ahmed
Hydrogen (H) storage on the tetragonal graphene nanotube (TGNT) is studied using density functional theory calculations. The cohesive energy of −8.48 eV and the absence of negative phonon frequency confirm the structural and dynamic stability of TGNT. The TGNT was found to be a stable geometry at room temperature, as determined by molecular dynamics simulation. The TGNT has successfully adsorbed up to 30H2 molecules on its surface with a very nominal deformation energy of about −0.08 eV. The average adsorption energy for H2 molecules is −0.083 eV/H2, resulting in a low desorption temperature. The TGNT demonstrates a storage capacity of up to 9.49 wt% H2. No significant change in the metallic behavior of TGNT is observed due to H2 adsorption. The optical reflectivity shows a slight red shift after H2 adsorption. The reduced density gradient analysis reveals the presence of van der Waals interaction between the adsorbent and adsorbate. This research suggests that TGNT is a potential candidate for H2 storage.
利用密度泛函理论计算研究了氢在四边形石墨烯纳米管(TGNT)上的存储。- 8.48 eV的内聚能和无负声子频率证实了TGNT的结构和动态稳定性。通过分子动力学模拟,发现TGNT在室温下具有稳定的几何形状。TGNT在其表面成功吸附了多达30H2分子,其名义变形能约为- 0.08 eV。H2分子的平均吸附能为- 0.083 eV/H2,解吸温度较低。TGNT的储氢容量高达9.49 wt%。H2吸附对TGNT的金属行为没有明显的影响。吸附H2后,光学反射率有轻微的红移。还原密度梯度分析表明吸附剂和吸附物之间存在范德华相互作用。该研究表明,TGNT是储氢的潜在候选物质。
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引用次数: 0
Ammonia borane as a hydrogen-rich additive for cleaner and enhanced combustion of Biodiesel–Diesel Blends: Experimental insights 氨硼烷作为一种富氢添加剂,用于清洁和增强生物柴油-柴油混合物的燃烧:实验见解
IF 8.3 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-12-12 DOI: 10.1016/j.ijhydene.2025.152825
Ananya Gamage , Har Vinder Pal Singh Sandhu , Khee Hang Kua , Chee Choy Chow , Meng-Choung Chiong , Yew Mun Hung , Jong Boon Ooi
This study investigates the effects of ammonia borane (AB) additives at concentrations of 50, 100, and 200 ppm (designated B20A1, B20A2, and B20A3, respectively) on the droplet combustion characteristics of B20 biodiesel-diesel blends. Single-droplet combustion experiments were performed using high-speed imaging combined with MATLAB-based image analysis to quantify ignition delay, burn rate, combustion duration, and evaporation characteristics. Results revealed significant improvements in combustion performance upon AB addition. Specifically, ignition delays decreased by up to 49.4 %, and burn rates increased by approximately 23.2 % at moderate AB concentrations (100 ppm), facilitating enhanced combustion initiation and energy release. Additionally, AB additives shortened droplet evaporation duration by up to 26.8 %. However, excessively high AB concentration (200 ppm) led to agglomeration and inconsistent hydrogen release, adversely affecting combustion uniformity. These findings demonstrate the promising potential of AB as an additive to enhance biodiesel-diesel blend combustion, emphasizing the need for optimized concentrations to balance combustion efficiency with stable performance.
本研究考察了浓度为50、100和200 ppm(分别指定为B20A1、B20A2和B20A3)的氨硼烷(AB)添加剂对B20生物柴油-柴油混合物液滴燃烧特性的影响。单液滴燃烧实验采用高速成像技术,结合matlab图像分析,量化点火延迟、燃烧速率、燃烧持续时间和蒸发特性。结果表明,添加AB后,燃烧性能有明显改善。具体来说,在中等AB浓度(100 ppm)下,点火延迟减少了49.4%,燃烧速率增加了约23.2%,促进了燃烧的启动和能量释放。此外,AB添加剂使液滴蒸发时间缩短了26.8%。然而,过高的AB浓度(200ppm)会导致结块和氢释放不一致,对燃烧均匀性产生不利影响。这些发现证明了AB作为一种添加剂在增强生物柴油-柴油混合燃烧方面的巨大潜力,强调了优化浓度以平衡燃烧效率和稳定性能的必要性。
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引用次数: 0
Flight endurance enhancement via lightweight composite PEM fuel cell stack for Mini-UAVs: Modelling, manufacturing and testing 通过轻型复合PEM燃料电池堆增强迷你无人机的飞行耐力:建模、制造和测试
IF 8.3 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-12-12 DOI: 10.1016/j.ijhydene.2025.152930
Uğur Aydın , Ömer Erdemir , M. Selim Çögenli , Selahattin Çelik , Hasan Özcan
Proton Exchange Membrane (PEM) fuel cells offer a promising alternative to conventional battery and internal combustion systems in mini-unmanned aerial vehicles (mini-UAVs) due to their high energy density and zero emissions. However, the integration of fuel cell systems into compact aerial platforms necessitates careful optimization of weight and thermal management. In this study, a lightweight composite-stack PEM fuel cell system was designed, manufactured, and tested to evaluate its impact on flight endurance. Bipolar plates were fabricated from composite graphite, and metallic components were gold-coated stainless steel with minimized thickness. The complete 32-cell stack, including fans and endplates, weighed only 641 g while delivering a nominal power of 295 W at 20,06V and peak power of 320 W at 18.36 V, corresponding to a gravimetric power density of 499 W/kg for peak power. The stack was integrated into a mini-UAV to drive the motor, and thrust performance was tested. Ground tests and climatic chamber experiments at −20 °C demonstrated reliable performance and environmental robustness. Compared to a traditional LiPo battery setup, the hybrid system offers a projected flight time extension from 4.5 up to 8 h under cruise conditions. These findings demonstrate that weight-optimized PEM fuel cell systems can significantly enhance the operational range of mini-UAVs and pave the way toward fully fuel-cell-powered aerial missions.
质子交换膜(PEM)燃料电池由于其高能量密度和零排放,为小型无人机(mini- uav)提供了传统电池和内燃机系统的替代方案。然而,将燃料电池系统集成到紧凑的空中平台中需要仔细优化重量和热管理。在这项研究中,设计、制造并测试了一种轻型复合堆叠PEM燃料电池系统,以评估其对飞行续航力的影响。双极板由复合石墨制成,金属部件为厚度最小的镀金不锈钢。包括风扇和端板在内的完整32个电池堆重量仅为641 g,在20,06V时提供295 W的标称功率,在18.36 V时提供320 W的峰值功率,对应于峰值功率的重量功率密度为499 W/kg。堆叠被集成到一个微型无人机来驱动马达,并测试了推力性能。地面测试和- 20°C的气候室实验证明了可靠的性能和环境稳定期。与传统的LiPo电池设置相比,混合动力系统在巡航条件下的预计飞行时间从4.5小时延长到8小时。这些发现表明,重量优化的PEM燃料电池系统可以显著提高小型无人机的作战范围,并为实现完全燃料电池动力的空中任务铺平道路。
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引用次数: 0
Review of membrane electrode assembly fabrication for anion exchange membrane water electrolysis: From catalyst ink preparation to membrane electrode assembly 阴离子交换膜电解中膜电极组装的研究进展:从催化剂油墨制备到膜电极组装
IF 8.3 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-12-12 DOI: 10.1016/j.ijhydene.2025.152883
Wei Shi Ng , Nurulfasihah Azhar , Nurul Nabila Rosman , Mohd Shahbudin Masdar , Edy Herianto Majlan , Noor Shahirah Shamsul , Zamzila Kassim , Muhammad Faiz Aizamddin , Rozan Mohamad Yunus
Sustainable and clean energy are important for achieving net zero carbon goals and reducing greenhouse gas emissions and ozone depletion. Hydrogen (H2) is a clean, sustainable energy source which can be produced by the environmentally friendly process of water electrolysis. Among the existing technologies, anion exchange membrane water electrolysis (AEMWE) offers a promising balance of performance and cost. AEMWE, as opposed to alkaline water electrolysis (AWE), enables differential pressure operation, allows for larger current densities, and utilises low-concentration alkaline solutions. Unlike proton exchange membrane water electrolysis (PEMWE), which relies on scarce noble metals for catalysts and components. Although AEMWE technology shows significant promise, it remains in the research and development phase and faces several challenges, especially in the fabrication of membrane electrode assemblies (MEAs). Key challenges include catalyst ink preparation to enhance dispersion and reduce agglomeration, minimising catalyst loss during catalyst coating, and avoiding membrane microcracking and pinhole formation during catalyst delamination and stacking with the hot press. This paper discusses these challenges and provides methods to overcome them in MEA fabrication.
可持续和清洁能源对于实现净零碳目标、减少温室气体排放和臭氧消耗至关重要。氢(H2)是一种清洁、可持续的能源,可以通过环境友好的水电解工艺生产。在现有的技术中,阴离子交换膜电解(AEMWE)在性能和成本上取得了很好的平衡。与碱性电解(AWE)不同,AEMWE可以实现差压操作,允许更大的电流密度,并利用低浓度的碱性溶液。与质子交换膜电解(PEMWE)不同,它依赖于稀有的贵金属作为催化剂和组件。尽管AEMWE技术显示出巨大的前景,但它仍处于研究和开发阶段,面临着一些挑战,特别是在膜电极组件(MEAs)的制造方面。关键的挑战包括催化剂油墨的制备,以增强分散性和减少团聚,最大限度地减少催化剂涂层过程中的催化剂损失,以及避免在催化剂分层和热压堆积过程中膜微裂和针孔的形成。本文讨论了这些挑战,并提出了在MEA制造中克服这些挑战的方法。
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引用次数: 0
A concept for high efficiency operation of a proton exchange membrane electrolyzer 质子交换膜电解槽高效运行的概念
IF 8.3 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2025-12-12 DOI: 10.1016/j.ijhydene.2025.152898
Torsten Berning , Frano Barbir
We present fundamental calculations to identify operating conditions of a proton exchange membrane electrolyzer such that the product gases are exactly saturated with water vapor. The required stoichiometric flow ratios depend strongly on the electrolyzer temperature and reactant pressures, and they are below ξ = 3 which necessitates a symmetric electrolyzer design and uniform water feeding. Preheating the incoming water leads to a voltage gain in the order of 50 mV, and it is shown, how the electrolyzer temperature can conceivably be controlled via the water flow rate. The analysis results in diagrams to determine suitable operating conditions for three different electrolyzer operation modes: standby operation to reduce the startup time, normal operation and high-power operation with efficiencies of 96%, 91%, and 86%, respectively. A comparison with literature data gives indications about the expected current densities at the respective voltages. Finally, it is suggested that electrolyzer operation where the anode side pressure is at a partial vacuum can facilitate the proposed operation mode as well as reduce the iridium loading.
我们提出了基本的计算,以确定质子交换膜电解槽的操作条件,使产品气体完全饱和与水蒸气。所需的化学计量流量很大程度上取决于电解槽温度和反应物压力,它们低于ξ = 3,这就需要对称的电解槽设计和均匀的给水。预热进入的水导致在50毫伏数量级的电压增益,并显示,如何可以想象的电解槽温度可以通过水的流量来控制。分析结果以图表形式确定了三种不同的电解槽运行方式的合适运行条件:减少启动时间的待机运行、正常运行和效率分别为96%、91%和86%的大功率运行。与文献数据的比较给出了在各自电压下的预期电流密度的指示。最后,建议电解槽在阳极侧压力为部分真空的情况下运行,可以促进所提出的运行模式,并减少铱的负荷。
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引用次数: 0
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International Journal of Hydrogen Energy
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