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Design considerations and preliminary hydrodynamic analysis of an offshore decentralised floating wind-hydrogen system 海上分散式浮动风力制氢系统的设计考虑因素和初步水动力分析
IF 8.1 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2024-09-29 DOI: 10.1016/j.ijhydene.2024.09.340
Despite the number of works on the techno-economics of offshore green hydrogen production, there is a lack of research on the design of floating platforms to concomitantly support hydrogen production facilities and wind power generation equipment. Indeed, previous studies on offshore decentralised configuration for hydrogen production, implicitly assume that a floating platform designed for wind power generation (FOWT) can be also suitable as a floating wind hydrogen system (FWHS). This work proposes a novel design for an offshore decentralised FWHS, and analyses the effects of the integration of the hydrogen facilities on the platform's dynamics and how this in turn affects the performances of the wind turbine and the hydrogen equipment. Our findings indicate that despite the reduction in platform's stability, the performance of the wind turbine is barely affected. Regarding the hydrogen system, our results aim at contributing to further assessment and design of this equipment for offshore conditions.
尽管有关海上绿色制氢技术经济学的研究很多,但缺乏对同时支持制氢设施和风力发电设备的浮动平台设计的研究。事实上,以往关于海上分散式制氢配置的研究都隐含地假定,为风力发电设计的浮动平台(FOWT)也适合作为浮动风力制氢系统(FWHS)。这项研究提出了一种海上分散式 FWHS 的新设计,并分析了氢气设施的集成对平台动力学的影响,以及这反过来又如何影响风力涡轮机和氢气设备的性能。我们的研究结果表明,尽管平台稳定性降低,但风力涡轮机的性能几乎没有受到影响。关于氢气系统,我们的研究结果旨在为进一步评估和设计海上条件下的氢气设备做出贡献。
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引用次数: 0
Machine learning-based fault diagnosis for various steady conditions of proton exchange membrane fuel cell systems 基于机器学习的质子交换膜燃料电池系统各种稳定条件下的故障诊断
IF 8.1 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2024-09-29 DOI: 10.1016/j.ijhydene.2024.09.227
Faults in the various electrical and mechanical components of a fuel cell system can affect system reliability and durability. In this study, machine learning was used to accurately diagnose 18 faults in a proton exchange membrane fuel cell system. These faults included those in the thermal management system, first cooling line, second cooling line, air supply system, and water management system. Among the random forest, support vector machine, extreme gradient boosting, light gradient boosting machine, and deep neural network algorithms, the deep neural network model exhibited the highest accuracy in model training. Before diagnosing the 18 faults, a pipeline scenario was introduced to address the data imbalance between normal and fault data and to distinguish between normal and fault conditions. A state-based data distribution method proposed to mitigate data imbalance among fault states achieved an F1-score of 0.987 (accuracy of 98.4%) and 0.942 (accuracy of 94.2%) for fault detection and diagnosis, respectively. Misdiagnosed cases were analyzed by considering the physical characteristics of the system. Additionally, a study on training strategies, prediction of data for operating conditions not included in the training process, for designing datasets for machine learning models revealed an F1-score greater than 0.9. This result showed the generality of the model and provided a reference for designing efficient training datasets based on operating conditions.
燃料电池系统中各种电气和机械部件的故障会影响系统的可靠性和耐用性。在这项研究中,机器学习被用于准确诊断质子交换膜燃料电池系统中的 18 个故障。这些故障包括热管理系统、第一冷却管路、第二冷却管路、供气系统和水管理系统中的故障。在随机森林算法、支持向量机算法、极梯度提升算法、轻梯度提升算法和深度神经网络算法中,深度神经网络模型在模型训练中表现出最高的准确率。在诊断 18 个故障之前,引入了一个流水线场景,以解决正常数据和故障数据之间的数据不平衡问题,并区分正常情况和故障情况。为缓解故障状态之间的数据不平衡,提出了一种基于状态的数据分布方法,该方法在故障检测和诊断方面的 F1 分数分别为 0.987(准确率为 98.4%)和 0.942(准确率为 94.2%)。通过考虑系统的物理特性,对误诊案例进行了分析。此外,一项关于为机器学习模型设计数据集的训练策略、未包含在训练过程中的运行条件数据预测的研究显示,F1 分数大于 0.9。这一结果表明了模型的通用性,并为设计基于运行条件的高效训练数据集提供了参考。
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引用次数: 0
Preparation of Ni nanocone/Grid electrodes by laser-electrodeposition combined process as an efficient and stable electrocatalyst for hydrogen evolution reaction 通过激光-电沉积组合工艺制备镍纳米锥/栅电极,作为高效稳定的氢进化反应电催化剂
IF 8.1 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2024-09-29 DOI: 10.1016/j.ijhydene.2024.09.346
Hydrogen is a renewable and environmentally friendly energy carrier and is considered a viable alternative to fossil fuels. Consequently, developing electrodes with excellent hydrogen evolution electrocatalysis is a top priority in research. However, the use of flat electrodes as cathode substrates by most researchers limits the electrocatalytic active area of the prepared electrode. To address this issue, it is essential to prepare a micro-nano structure on a cathode substrate before electrodeposition. This study introduced a novel Ni nanocone/Grid electrode, obtained through a combined laser-electrodeposition process to investigate its electrocatalytic activity and stability for the hydrogen evolution reaction (HER). Various techniques, including linear sweep voltammetry (LSV), electrochemical impedance spectra (EIS), cyclic voltammetry (CV), and chronopotentiometry (CP) in 1 M KOH solution, were employed to assess the HER electrocatalytic performance of the Ni nanocone/Grid electrodes. The experimental results demonstrated that the electrodes could achieve current densities of -10, -20, and -100 mA/cm2 with corresponding overpotentials of -281, -308, and -390 mV, respectively. Additionally, the Tafel slope of these electrodes was found to be only -82.05 mV/dec. The enhanced catalytic performance of the electrode was attributed to the synergistic effect of the grid-like and nanocone structures, which significantly increased the electrocatalytically active area and improved surface hydrophilicity, thereby boosting electrocatalytic performance. The simplicity of the preparation method and the exceptional performance of the electrode provide a promising new avenue for future research on HER electrocatalysts.
氢是一种可再生的环保能源载体,被认为是化石燃料的可行替代品。因此,开发具有优异氢进化电催化性能的电极是研究工作的重中之重。然而,大多数研究人员使用平板电极作为阴极基底,限制了所制备电极的电催化活性面积。为解决这一问题,必须在电沉积前在阴极基底上制备微纳结构。本研究介绍了一种新型镍纳米锥/栅电极,该电极是通过激光-电沉积联合工艺获得的,目的是研究其在氢进化反应(HER)中的电催化活性和稳定性。实验采用了多种技术,包括线性扫频伏安法(LSV)、电化学阻抗谱(EIS)、循环伏安法(CV)和 1 M KOH 溶液中的时变电位计(CP),以评估镍纳米锥/栅电极的氢进化反应电催化性能。实验结果表明,电极的电流密度分别为 -10、-20 和 -100 mA/cm2,相应的过电位分别为 -281、-308 和 -390 mV。此外,这些电极的塔菲尔斜率仅为 -82.05 mV/dec。电极催化性能的提高归功于网格状结构和纳米锥结构的协同效应,它们显著增加了电催化活性面积,改善了表面亲水性,从而提高了电催化性能。该电极的制备方法简单、性能优异,为未来 HER 电催化剂的研究提供了一条前景广阔的新途径。
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引用次数: 0
Three-center-four-electron hydrogen bond bridged by fluorine enables advanced electrolyte for aluminum air batteries 以氟为桥的三中心四电子氢键实现了铝空气电池的先进电解质
IF 8.1 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2024-09-28 DOI: 10.1016/j.ijhydene.2024.09.353
Aluminum air batteries have great potential as a state-of-the-art energy storage device due to their high capacity, energy density and fascinating safety. However, the disturbing hydrogen evolution reaction (HER) of the Al anode increase the gap between practical application and theoretical level. Electrolyte engineering with organic additives has been the spotlight to address the problem of HER. The polar functional group of organic molecules could bound with the water via the hydrogen bond to drop the activity of water. Unfortunately, the basic physicochemical properties of electrolyte would be deteriorated due to the organic matter, which has a negative impact on the electrochemical performance of batteries. Herein, an inorganic additive was adopted to regulate the hydrogen bond network and anode interface. The activity of H2O could be obviously suppressed by the stronger three-center-four-electron hydrogen bonds bridged by fluoride ions. And the water molecules are kept away from the anode surface due to the protective layer caused by the adsorption of fluoride ions. The HER could be greatly inhibited by both pathways, which reaches an inhibition efficiency of 55% in the electrolyte with 5 M KF. Correspondingly, the Al air battery exhibits a high discharge specific capacity of 1552.8 mAh g−1 and an energy density of 1829.51 Wh kg−1 at a current density of 25 mA cm−2. This work showcases a promising inorganic additive to suppress the HER for high-performance Al air battery.
铝空气电池具有高容量、高能量密度和令人着迷的安全性,因此作为最先进的储能设备具有巨大潜力。然而,铝阳极的氢演化反应(HER)干扰加大了实际应用与理论水平之间的差距。使用有机添加剂的电解质工程一直是解决 HER 问题的焦点。有机分子的极性官能团可以通过氢键与水结合,从而降低水的活性。遗憾的是,有机物会导致电解质的基本理化性质恶化,从而对电池的电化学性能产生负面影响。为此,我们采用了一种无机添加剂来调节氢键网络和阳极界面。通过氟离子桥接更强的三中心四电子氢键,可以明显抑制 H2O 的活性。同时,由于氟离子吸附形成的保护层,水分子被阻挡在阳极表面之外。这两种途径都能极大地抑制 HER,在含有 5 M KF 的电解液中,抑制效率达到 55%。相应地,在电流密度为 25 mA cm-2 时,铝空气电池显示出 1552.8 mAh g-1 的高放电比容量和 1829.51 Wh kg-1 的能量密度。这项研究为高性能铝空气电池提供了一种抑制 HER 的无机添加剂。
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引用次数: 0
Reduced graphene oxide supported meso-pyridyl BODIPY-Cobaloxime complexes for electrocatalytic hydrogen evolution reaction 用于电催化氢气进化反应的还原氧化石墨烯支撑介吡啶基 BODIPY-Cobaloxime 复合物
IF 8.1 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2024-09-28 DOI: 10.1016/j.ijhydene.2024.09.284
Creating innovative catalysts utilizing nonprecious metals for the electrocatalytic hydrogen evolution reaction (HER) poses a significant difficulty. We present a cobaloxime (Cox) complex having pyridine (2-Cox) and tetrafluorophenyl-thio-pyridine (4-Cox) functional groups, which contains a 4,4-Difluoro-4-bora-3a,4a-diaza-s-indacene (BODIPY) moiety. This combination serves as a catalyst for proton reduction and is immobilized onto reduced graphene oxide (rGO) by π–π stacking between the cobaloxime complex and rGO. Moreover, the unique complex's structures were determined through the application of ultraviolet–visible spectroscopy (UV–Vis), Fourier Transform Infrared spectroscopy (FT-IR), X-ray diffraction spectroscopy (XRD), and scanning electron microscopy (SEM). The electrocatalytic activity of the two rGO/2-Cox and rGO/4-Cox electrodes towards hydrogen (H2) were examined under both alkaline and acidic conditions. The cobaloxime-modified rGO electrodes demonstrate superior electrocatalytic performance for the HER under acidic conditions compared to alkaline conditions. The overpotential at a current density of 10 mA cm−2 for rGO/2-Cox in 0.5 M H2SO4 is −0.342 V, which is notably lower than the overpotential of rGO/4-Cox (−0.496 V). The Tafel slope for the rGO/2-Cox electrode in a 0.5 M H2SO4 solution is 111 mV.dec−1, but for the rGO/4-Cox electrode it is 156 mVdec−1. This discrepancy suggests that the rGO/2-Cox electrode demonstrates better performance in the HER compared to the rGO/4-Cox electrode.
利用非贵金属为电催化氢进化反应(HER)制造创新催化剂是一项重大难题。我们提出了一种具有吡啶(2-Cox)和四氟苯基硫代吡啶(4-Cox)官能团的钴肟(Cox)复合物,其中包含一个 4,4-二氟-4-硼-3a,4a-二氮杂-s-茚(BODIPY)分子。这种组合可作为质子还原催化剂,并通过钴肟复合物与还原氧化石墨烯(rGO)之间的π-π堆积固定在一起。此外,还应用紫外可见光谱(UV-Vis)、傅立叶变换红外光谱(FT-IR)、X 射线衍射光谱(XRD)和扫描电子显微镜(SEM)确定了独特的复合物结构。在碱性和酸性条件下考察了两种 rGO/2-Cox 和 rGO/4-Cox 电极对氢气(H2)的电催化活性。与碱性条件相比,钴肟修饰的 rGO 电极在酸性条件下对 HER 的电催化性能更优越。在 0.5 M H2SO4 中,电流密度为 10 mA cm-2 时,rGO/2-Cox 的过电位为 -0.342 V,明显低于 rGO/4-Cox 的过电位(-0.496 V)。在 0.5 M H2SO4 溶液中,rGO/2-Cox 电极的塔菲尔斜率为 111 mV.dec-1,而 rGO/4-Cox 电极的斜率为 156 mVdec-1。这一差异表明,与 rGO/4-Cox 电极相比,rGO/2-Cox 电极在 HER 中表现出更好的性能。
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引用次数: 0
Insight process safety of a hydrogen turbine supply system: A comprehensive dynamic risk assessment using a fuzzy Bayesian network 透视氢气涡轮机供应系统的工艺安全:利用模糊贝叶斯网络进行综合动态风险评估
IF 8.1 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2024-09-28 DOI: 10.1016/j.ijhydene.2024.09.332
This study conducts a comprehensive risk assessment for a selected hydrogen supply system within a pilot hydrogen power plant. The assessment begins with hazard identification through Hazard and Operability (HAZOP) analysis, followed by quantification using bow-tie analysis and consequence modeling to evaluate the impacts of credible scenarios resulting from random failures. Furthermore, a fuzzy Bayesian network is employed to address uncertainties inherent in the quantitative approaches and to account for event combinations and dependencies. Sensitivity analysis is subsequently conducted to identify critical events. Utilizing three quantitative approaches, fault tree analysis, the Bayesian network, without and with evidence updating, the probability of the top event is determined to be 4.52 × 10−2/year, 4.50 × 10−2/year, and 4.70 × 10−2/year, respectively. Additionally, the estimated firezone resulting from the explosion's 300 mbar overpressure was 12 m. The findings highlight the significant role of pressure regulator valve and pressure transmitter failures, with posterior probabilities of 0.17/year and 1.90 × 10−3/year, in ensuring the system's safety.
本研究对试点氢能发电厂内选定的氢气供应系统进行了全面风险评估。评估首先通过危险与可操作性(HAZOP)分析进行危险识别,然后使用领结分析和后果建模进行量化,以评估随机故障导致的可信情景的影响。此外,还采用模糊贝叶斯网络来解决定量方法中固有的不确定性,并考虑事件组合和依赖性。随后还进行了敏感性分析,以确定关键事件。利用故障树分析和贝叶斯网络这三种定量方法,在不更新证据和更新证据的情况下,确定最高事件的概率分别为 4.52 × 10-2/ 年、4.50 × 10-2/ 年和 4.70 × 10-2/ 年。此外,爆炸产生的 300 毫巴超压所造成的火灾区估计为 12 米。研究结果突出表明,压力调节阀和压力变送器故障在确保系统安全方面发挥着重要作用,其后验概率分别为 0.17/年和 1.90 × 10-3/年。
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引用次数: 0
First principles calculations of double perovskite RbX2Y3O10 (X = Ca, Ba: YCd, Ta) materials for photocatalytic applications 用于光催化应用的双包晶 RbX2Y3O10(X = Ca、Ba:YCd、Ta)材料的第一性原理计算
IF 8.1 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2024-09-28 DOI: 10.1016/j.ijhydene.2024.09.355
Production of oxygen and hydrogen energy through suited photocatalysts by water splitting is the main issue in the modern age. In this regard, the double perovskite Dion-Jacobson materials RbX2Y3O10 (X = Ca, Ba: YCd, Ta) for photocatalytic activity are investigated by using the CASTEP package. The plane-wave (PW) pseudo-potential in the context of the generalized gradient approximation (GGA)-Perdew Burke Ernzerhof (PBE) and local density approximation (LDA) exchange-correlation functional technique is used to investigate the compounds. According to the results, compounds have a tetragonal (a = b≠c) structure with space group 123 (p4/mmm). Compounds Mullikan bond populations were estimated in order to comprehend the bonding characteristics that found a mixed ionic and covalent bonding. According to electronic characteristics, RbBa2Ta3O10, RbBa2Cd3O10, and RbCa2Cd3O10 have semiconductor behavior with indirect bandgap of 2.11 eV, 2.27 eV, and 1.51 eV, respectively, and respond under visible region light. DOS and PDOS are studied to inspect the distinct atom's contribution to electronic band structure. The compounds are mechanically brittle (1.55, 1.39), ductile (1.97), and stable in their natural form, according to elastic constant values. The optical characteristics simulation indicates that compounds have the potential to decompose or oxidize organic contaminants. According to the results, these compounds are suitable for the water-splitting photocatalytic process to produce oxygen and hydrogen.
通过合适的光催化剂分水生产氧气和氢气是当代的主要问题。为此,我们使用 CASTEP 软件包研究了具有光催化活性的双包晶Dion-Jacobson材料RbX2Y3O10 (X = Ca, Ba: YCd, Ta)。在广义梯度近似(GGA)-Perdew Burke Ernzerhof(PBE)和局部密度近似(LDA)交换相关函数技术的背景下,使用平面波(PW)伪电势对化合物进行了研究。结果表明,化合物具有四方(a = b≠c)结构,空间群为 123(p4/mmm)。为了了解化合物的成键特征,我们估算了 Mullikan 键的数量,发现了离子键和共价键的混合。根据电子特性,RbBa2Ta3O10、RbBa2Cd3O10 和 RbCa2Cd3O10 具有半导体特性,其间接带隙分别为 2.11 eV、2.27 eV 和 1.51 eV,并能在可见光区域产生反应。对 DOS 和 PDOS 进行了研究,以了解不同原子对电子带结构的贡献。根据弹性常数值,这些化合物具有机械脆性(1.55、1.39)和韧性(1.97),并且在自然形态下是稳定的。光学特性模拟表明,这些化合物具有分解或氧化有机污染物的潜力。根据研究结果,这些化合物适合用于水分离光催化过程,以产生氧气和氢气。
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引用次数: 0
Geographic scale-based analysis of hydrogen production efficiency and mechanism in dark fermentation utilizing diverse inoculums 基于地理尺度的利用不同接种物暗发酵产氢效率和机制分析
IF 8.1 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2024-09-28 DOI: 10.1016/j.ijhydene.2024.09.363
This study comprehensively examined the hydrogen production performance of anaerobic microbial communities sourced from 12 distinct geographical locations during dark fermentation. The experimental outcomes unambiguously demonstrated that all tested anaerobic microbial communities harbored microorganisms capable of converting organic substrates into hydrogen. Nevertheless, the achievement of efficient hydrogen production was largely contingent on the inoculum composition, specifically the presence of specific dominant bacteria populations. Among the tested groups, the group of biogas slurry 2 exhibited remarkable performance, attaining a hydrogen production level of up to 118.00 ± 2.48 mL/gVS with a H2 content peaking at 69.35%. And the primary dominant bacteria were Caproiciproducens, Erysipelotrichaceae_UCG-009, and Solobacterium. Additionally, the silt at lake bottom group demonstrated substantial hydrogen-producing capabilities, achieving 114.18 ± 5.98 mL H2/gVS and a hydrogen content reaching 59.21%. The principal dominant bacteria were Lactobacillus and Prevotella_7. Conversely, the frozen digestate group displayed the lowest hydrogen production, with merely 1.05 mL H2/gVS. Furthermore, this study highlighted the significance of microbial community structure complexity and diversity in the inoculum on hydrogen production. When the microbial community exhibited greater complexity and diversity, the relative abundance of dominant populations was more balanced. This balance not only enhanced the stability of the system but also improved hydrogen production. Future studies could broaden the geographical scope and delve deeper into the disparities between inoculums to identify more efficient microbial communities for hydrogen production. Such endeavors would provide theoretical support for the practical application of biohydrogen production technology, paving the way for sustainable and eco-friendly energy production.
本研究全面考察了来自 12 个不同地理位置的厌氧微生物群落在黑暗发酵过程中的制氢性能。实验结果明确表明,所有测试的厌氧微生物群落都含有能够将有机底物转化为氢气的微生物。然而,能否实现高效制氢在很大程度上取决于接种物的组成,特别是是否存在特定的优势菌群。在测试的各组中,沼气浆 2 组表现突出,制氢水平高达 118.00 ± 2.48 mL/gVS,氢含量最高达 69.35%。主要优势菌为 Caproiciproducens、Erysipelotrichaceae_UCG-009 和 Solobacterium。此外,湖底淤泥组也表现出很强的产氢能力,达到 114.18 ± 5.98 mL H2/gVS,氢含量达到 59.21%。主要优势菌是乳酸杆菌和普雷沃特氏菌_7。相反,冷冻沼渣组的产氢量最低,仅为 1.05 mL H2/gVS。此外,本研究还强调了接种物中微生物群落结构的复杂性和多样性对产氢量的重要影响。当微生物群落表现出更高的复杂性和多样性时,优势种群的相对丰度就会更加平衡。这种平衡不仅增强了系统的稳定性,还提高了产氢量。未来的研究可以扩大地理范围,深入研究接种物之间的差异,以确定更有效的制氢微生物群落。这些努力将为生物制氢技术的实际应用提供理论支持,为可持续和生态友好型能源生产铺平道路。
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引用次数: 0
Enhanced performance of pyrite cinder oxygen carrier modified by CuO for chemical looping combustion 氧化铜修饰的黄铁矿煤渣氧载体在化学循环燃烧中的性能提升
IF 8.1 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2024-09-28 DOI: 10.1016/j.ijhydene.2024.09.335
Due to the abundance of active components and low cost, pyrite cinder has great potential as an oxygen carrier in the process of chemical looping combustion (CLC). In order to improve the fuel combustion reactivity, we modified pyrite cinder with copper oxide (CuO). The addition of copper oxide could effectively increase the pore volume and oxygen vacancy concentration of pyrite cinder. The modified pyrite cinder with 20 wt% CuO possessed the highest pore volume (0.3 cm3/g) and oxygen vacancy concentration (55.61%). During the long-term redox cycles, the modified pyrite cinder samples showed higher fuel combustion reactivity than the undoped sample. The results of characterization indicated that the crystalline phases of CuO and CuFe2O4 were formed in the CuO-modified pyrite cinder samples. The active components (Fe2O3, CuFe2O4 and CuO) in the modified pyrite cinder samples were reduced to Fe3O4, FeO, CuFeO2 and Cu during the reduction half cycle. The modified pyrite cinder with 20 wt% CuO possessed the highest CH4 conversion (nearly 100%) and CO2 selectivity (nearly 100%) in multiple redox testing. The CH4 conversion of undoped pyrite cinder was only about 60%. When the content of CuO reached 30 wt%, surface sintering occurred for the modified pyrite cinder, resulting in the decrease of CH4 conversion and surface area. After continuous redox cycles, the CuO-modified pyrite cinder samples could maintain the original crystal structure.
由于活性成分丰富且成本低廉,黄铁矿煤渣在化学循环燃烧(CLC)过程中作为氧载体具有巨大潜力。为了提高燃料的燃烧反应性,我们用氧化铜(CuO)对黄铁矿煤渣进行了改性。氧化铜的加入可有效增加黄铁矿煤渣的孔隙体积和氧空位浓度。含 20 wt% CuO 的改性黄铁矿煤渣具有最高的孔隙体积(0.3 cm3/g)和氧空隙浓度(55.61%)。在长期氧化还原循环过程中,改性黄铁矿煤渣样品比未掺杂样品显示出更高的燃料燃烧反应性。表征结果表明,在 CuO 改性黄铁矿煤渣样品中形成了 CuO 和 CuFe2O4 结晶相。改性黄铁矿煤渣样品中的活性成分(Fe2O3、CuFe2O4 和 CuO)在还原半周期中被还原成 Fe3O4、FeO、CuFeO2 和 Cu。在多重氧化还原测试中,含 20 wt% CuO 的改性黄铁矿煤渣具有最高的 CH4 转化率(接近 100%)和 CO2 选择性(接近 100%)。而未掺杂的黄铁矿煤渣的 CH4 转化率仅为 60%左右。当 CuO 含量达到 30 wt% 时,改性黄铁矿煤渣的表面烧结,导致 CH4 转化率和表面积下降。经过连续的氧化还原循环后,CuO 改性黄铁矿煤渣样品仍能保持原有的晶体结构。
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引用次数: 0
Power management and control of hybrid renewable energy systems with integrated diesel generators for remote areas 偏远地区带集成柴油发电机的混合可再生能源系统的电源管理和控制
IF 8.1 2区 工程技术 Q1 CHEMISTRY, PHYSICAL Pub Date : 2024-09-28 DOI: 10.1016/j.ijhydene.2024.09.247
Hydrogen has become an essential element in the pursuit of sustainable and clean energy solutions. Especially with the fast-paced advancement in demand, supply, and policy environment, its impact on hybrid renewable energy (HRE) management is becoming increasingly relevant. Efficient energy consumption, cost reduction, and enhanced user comfort are now critical factors in energy optimization. The production of green hydrogen, which is generated through water electrolysis using renewable energy sources (RES), has shown great potential as a sustainable energy solution. It offers several advantages, such as zero greenhouse gas emissions, high energy density, and versatile applications. This paper presents a detailed study on the power management and control of a hybrid renewable system (HRES) equipped with a diesel generator (DG) as a backup power source. The main objectives of the hybrid system are to satisfy the load power demand, ensure the most efficient use of the HRES, and keep the battery bank charged to prevent blackouts and extend the battery's life. To guarantee the system's reliability, the DG should be sized to meet the peak load demand when the RES generates less electricity than the load demand. This study explores the feasibility of modified versions of the load following and cycle charging control strategies to overcome the limitations of managing generation and storage systems' operations in different operating modes and to enhance the performance of an HRES with a DG that supplies electricity to a small and remote location. The proposed method not only maximizes the use of RES production but also enables multi-energy source management under different power generation and load demand scenarios. The study's outcomes demonstrate the feasibility of this proposed power dispatch strategy in a remote location environment. The paper includes a detailed discussion of overall control, mathematical models, energy storage in the battery model, and energy dispatching based on load following. To design and simulate the hybrid model system, MATLAB-SIMULINK is used, and the results are analyzed to identify the appropriate operation requirements, component selection, and energy management of the hybrid renewable energy system.
氢气已成为追求可持续清洁能源解决方案的重要因素。特别是随着需求、供应和政策环境的快速发展,其对混合可再生能源(HRE)管理的影响正变得越来越重要。高效的能源消耗、降低成本和提高用户舒适度已成为能源优化的关键因素。利用可再生能源(RES)通过水电解产生的绿色氢气,作为一种可持续能源解决方案,已显示出巨大的潜力。它具有温室气体零排放、能量密度高、应用广泛等优点。本文详细研究了配备柴油发电机(DG)作为备用电源的混合可再生能源系统(HRES)的电源管理和控制。混合系统的主要目标是满足负载的电力需求,确保最有效地利用 HRES,并保持电池组充电,以防止停电并延长电池寿命。为保证系统的可靠性,当可再生能源发电量低于负荷需求时,可再生能源发电设备的大小应满足高峰负荷需求。本研究探讨了修改版负载跟随和循环充电控制策略的可行性,以克服在不同运行模式下管理发电和储能系统运行的局限性,并提高带有 DG 的 HRES 的性能,为偏远的小型地点供电。所提出的方法不仅能最大限度地利用可再生能源生产,还能在不同的发电和负载需求情况下实现多能源管理。研究结果证明了所提出的电力调度策略在偏远地区环境中的可行性。论文详细讨论了整体控制、数学模型、电池模型中的能量存储以及基于负载跟随的能量调度。为了设计和模拟混合模型系统,使用了 MATLAB-SIMULINK,并对结果进行了分析,以确定混合可再生能源系统的适当运行要求、组件选择和能源管理。
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International Journal of Hydrogen Energy
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