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Rapid and stable calcium-looping solar thermochemical energy storage via co-doping binary sulfate and Al±Mn±Fe oxides

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Green Energy & Environment 2024年第8期9卷 1290-1305页

作者： Changjian Yuan Xianglei Liu Xinrui Wang Chao Song hangbin zheng Cheng Tian Ke Gao Nan Sun Zhixing Jiang Yimin Xuan Yulong Ding School of Energy and Power Engineering Nanjing University of Aeronautics and Astronautics Key Laboratory of Thermal Management and Energy Utilization of Aviation Vehicles Ministry of Industry and Information Technology Birmingham Centre for Energy Storage School of Chemical Engineering University of Birmingham

Solar thermochemical energy storage based on calcium looping（CaL） process is a promising technology for next-generation concentrated solar power（CSP） systems. However, conventional calcium carbonate（CaCO3） pellets suffer from slow reaction kinetics, poor stability, and low solar absorptance. Here, we successfully realized high power density and highly stable solar thermochemical energy storage/release by synergistically accelerating energy storage/release via binary sulfate and promoting cycle stability, mechanical strength, and solar absorptance via Al±Mn±Fe oxides. The energy storage density of proposed CaCO3pellets is still as high as 1455 kJ kg-1with only a slight decay rate of 4.91% over 100 cycles, which is higher than that of state-of-the-art pellets in the literature, in stark contrast to 69.9% of pure CaCO3pellets over 35cycles. Compared with pure CaCO3, the energy storage power density or decomposition rate is improved by 120% due to lower activation energy and promotion of Ca2+diffusion by binary sulfate. The energy release or carbonation rate rises by 10% because of high O2-transport ability of molten binary sulfate. Benefiting from fast energy storage/release rate and high solar absorptance, thermochemical energy storage efficiency is enhanced by more than 50% under direct solar irradiation. This work paves the way for application of direct solar thermochemical energy storage techniques via achieving fast energy storage/release rate, high energy density, good cyclic stability, and high solar absorptance simultaneously.

关键词： Calcium looping (CaL) Solar thermochemical Energy storage Binary sulfate Fast reaction kinetics

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Efficient solar-driven CO_(2)-to-fuel conversion via Ni/MgAlO_(x)@SiO_(2)nanocomposites at low temperature

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Fundamental Research 2024年第1期4卷 131-139页

作者： Xianglei Liu Yueyue Ling Chen Sun Hang Shi hangbin zheng Chao Song Ke Gao Chunzhuo Dang Nan Sun Yimin Xuan Yulong Ding School of Energy and Power Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China Birmingham Centre for Energy Storage School of Chemical EngineeringUniversity of BirminghamBirmingham B152TTUnited Kingdom

Solar-driven CO_(2)-to-fuel conversion assisted by another major greenhouse gas CH_(4)is promising to concurrently tackle energy shortage and global warming ***,current techniques still suffer from drawbacks of low efficiency,poor stability,and low ***,a novel nanocomposite composed of interconnected Ni/MgAlOx nanoflakes grown on SiO_(2)particles with excellent spatial confinement of active sites is proposed for direct solar-driven CO_(2)-to-fuel *** ultrahigh light-to-fuel efficiency up to 35.7%,high production rates of H_(2)(136.6 mmol min^(-1)g^(-1))and CO(148.2 mmol min^(-1)g^(-1)),excellent selectivity(H_(2)/CO ratio of 0.92),and good stability are reported *** outstanding performances are attributed to strong metal-support interactions,improved CO_(2)absorption and activation,and decreased apparent activation energy under direct light ***_(x)@SiO_(2)support helps to lower the activation energy of CH^(*) oxidation to CHO^(*) and improve the dissociation of CH_(4)to CH_(3)^(*) as confirmed by DFT ***,the lattice oxygen of MgAlO_(x) participates in the reaction and contributes to the removal of carbon *** work provides promising routes for the conversion of greenhouse gasses into industrially valuable syngas with high efficiency,high selectivity,and benign sustainability.

关键词： Solar fuel CO_(2)reduction Dry reforming of methane Photothermocatalysis Stability

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数字孪生多模态视觉推理的神经-符号系统

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计算机集成制造系统 2024年第5期30卷 1571-1586页

作者：郑杭彬刘天元郑汉垚左戴悦鲍劲松王森东华大学机械工程学院上海201620 上海宝信软件股份有限公司上海201900

面对数字孪生在多模态视觉数据融合中的异质性和动态性挑战,提出一种结合深度学习与符号智能的方法。该方法通过深度神经网络对视觉数据进行实时解析,并借助符号系统存储的知识和事件响应规则,实现对复杂推理过程的自主管理。为提高系... 详细信息

面对数字孪生在多模态视觉数据融合中的异质性和动态性挑战,提出一种结合深度学习与符号智能的方法。该方法通过深度神经网络对视觉数据进行实时解析,并借助符号系统存储的知识和事件响应规则,实现对复杂推理过程的自主管理。为提高系统对物理世界变化的适应性,提出一种融合多模态信息和外部知识的增强推理机制,该机制能有效地整合来自传感器的实时数据和历史知识库中的信息,以支持更加准确和合理的决策制定。以退役锂电池拆解过程为案例验证表明,该方法不仅能够在多模态数据环境中实现高准确率的识别和分析,还能够基于推理机制生成合理且逻辑一致的操作建议,有效提升了拆解效率和安全性。

关键词：数字孪生多模态视觉推理神经符号系统锂电池拆解

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基于神经渲染的数字孪生资产快速场景几何建模与检索方法

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计算机集成制造系统 2024年第4期30卷 1189-1200页

作者：孙志强郑杭彬吕超凡孙学民鲍劲松东华大学机械工程学院上海201620 北京航空航天大学自动化科学与电气工程学院北京100191

虚实融合是数字孪生技术的典型特征,数字孪生的虚拟场景大多通过几何建模技术来实现。为解决场景几何建模的自动化程度较低。过于依赖人工,导致成本高昂且效率低下的问题,提出一种数字孪生几何场景构建方法。引入神经渲染技术采集物理... 详细信息

虚实融合是数字孪生技术的典型特征,数字孪生的虚拟场景大多通过几何建模技术来实现。为解决场景几何建模的自动化程度较低。过于依赖人工,导致成本高昂且效率低下的问题,提出一种数字孪生几何场景构建方法。引入神经渲染技术采集物理实体的点云数据,然后设计一种基于深度学习的点云模型与3DCAD模型语义映射的方法,用于基于数字孪生几何模型资产库的3DCAD模型检索。最后建立训练数据集并构建数字孪生几何模型资产库进行实验验证。通过对比实验和退役电池拆解案例验证:与其他的数字孪生场景几何建模方法相比,该方法具有更低的成本和更高的效率。

关键词：数字孪生场景几何建模神经渲染模型检索

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Learning semantic-specific visual representation for laser welding penetration status recognition

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Science China(Technological Sciences) 2022年第2期65卷 347-360页

作者： LIU TianYuan BAO JinSong zheng hangbin WANG JunLiang YANG ChangQi GU Jun Institute of Intelligent Manufacturing College of Mechanical EngineeringDonghua UniversityShanghai 201600China Shanghai Spaceflight Precision Machinery Institute Shanghai 201600China Shanghai Institute of Laser Technology Shanghai 200235China

The degree of penetration can directly reflect the forming quality of laser welding. The fine-grained feature of the molten pool/keyhole image brings challenges to the vision-based laser welding penetration status recognition. In this paper, a novel knowledge-and-data-hybrid driven recognition model is proposed for solving the problem of difficult learning of discriminative visual features of molten pool/keyhole images. In addition, a label semantic attention mechanism(LSA) is designed with three modules: representation of image visual feature, representation of labels semantic feature, and generation of label semantic attention. For learning discriminative features in visual space, LSA uses discriminative information in label semantics to guide the convolutional neural network. The experimental results show that the proposed LSA method has faster convergence and higher accuracy than the traditional attention mechanism. Further comparative experiments reveal that LSA is less dependent on the amount of training data and model complexity. The results of visualization experiments show that the visual features learned by the proposed method are more discriminative.

关键词： label semantic attention mechanism word embedding convolutional neural network laser welding penetration status

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Granular porous calcium carbonate particles for scalable and high-performance solar-driven thermochemical heat storage

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Science China(Technological Sciences) 2021年第10期64卷 2142-2152页

作者： SONG Chao LIU XiangLei XUAN YiMin zheng hangbin GAO Ke TENG Liang DA Yun LI Chuan LI YongLiang DING YuLong School of Energy and Power Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China Key Laboratory of Thermal Management and Energy Utilization of Aviation Vehicles Ministry of Industry and Information TechnologyNanjing 210016China College of Environmental and Energy Engineering Beijing University of TechnologyBeijing 100124China Birmingham Centre for Energy Storage School of Chemical EngineeringUniversity of BirminghamBirmingham B152TTUK

Calcium carbonate is promising thermochemical heat storage material for next-generation solar power systems due to its high energy storage density,low cost,and high operation *** have tried to improve energy storage performances of calcium carbonate recently,but most researches focus on powders,which are not suitable for scalable ***,novel granular porous calcium carbonate particles with very high solar absorptance,energy storage density,abrasive resistances,and energy storage rate are proposed for direct solar thermochemical heat *** average solar absorptance is improved by 234%compared with ordinary *** cycle stability and abrasive resistances are excellent with almost no decay of energy storage density over 25 cycles nor apparent particle weight loss over 24 h of continuous operation insides a planetary ball *** addition,the decomposition temperature is reduced by 2.8%–5.6%while the reaction rate of heat storage is enhanced by 80%–205%depending on the CO_(2) partial *** decomposition process of doped granular porous CaCO_(3) particles is found to involve three overlapping *** work provides new routes to achieve scalable direct solar thermochemical heat storage for next-generation high-temperature solar power systems.

关键词： thermochemical energy storage calcium carbonate solar absorptance cycle stability abrasive resistances kinetics analysis

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基于CNKI对慢性阻塞性肺疾病中医药研究现状的CiteSpace可视化分析

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西部中医药 2024年第9期37卷 96-100页

作者：彭思敏许光兰李毛毛郑杭彬王林张艳艳洪妹裴凯广西中医药大学研究生院广西中医药大学第一附属医院东葛院区呼吸与危重症医学科广西中医药大学第一附属医院仙葫院区重症医学科

目的：对慢性阻塞性肺疾病中医药相关文献进行文献计量学和可视化分析，概述其研究现状、热点及发展趋势。方法：检索中国知网（CNKI）2010—2021年有关慢性阻塞性肺疾病中医药研究的相关文献，期刊范围设定为核心期刊。运用CiteSpace... 详细信息

目的：对慢性阻塞性肺疾病中医药相关文献进行文献计量学和可视化分析，概述其研究现状、热点及发展趋势。方法：检索中国知网（CNKI）2010—2021年有关慢性阻塞性肺疾病中医药研究的相关文献，期刊范围设定为核心期刊。运用CiteSpace软件对纳入的文献进行聚类可视化分析。结果：共纳入文献259篇。近两年我国有关慢性阻塞性肺疾病的中医药相关研究处于下降趋势，相关研究作者合作紧密，但缺乏机构间的联系，医学院校科研潜力较高。目前研究热点关键词主要集中在慢性阻塞性肺疾病、稳定期、Meta分析、急性加重期、炎症因子、疗效、肺功能、中医药等。结论：慢性阻塞性肺疾病的临床研究应加强机构间的合作，发挥医学院校的科研潜力，可将其研究热点和发展趋势作为临床研究的参考和思路。

关键词：慢性阻塞性肺疾病中医药中国知网 CiteSpace 文献计量学可视化分析

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