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Science China(Technological Sciences) 2022年第3期65卷 713-725页

作者： WANG Xuan WANG Rui SHU GeQun TIAN Hua zhang xuanang State Key Laboratory of Engines Tianjin UniversityTianjin 300072China

Hybrid electric vehicles(HEVs)are acknowledged to be an effective way to improve the efficiency of internal combustion engines(ICEs)and reduce fuel *** the ICE in an HEV can maintain high efficiency during driving,its thermal efficiency is approximately 40%,and the rest of the fuel energy is discharged through different kinds of waste ***,it is important to recover the engine waste *** of the great waste heat recovery performance of the organic Rankine cycle(ORC),an HEV integrated with an ORC(HEV-ORC)has been ***,the addition of ORC creates a stiff and multi-energy problem,greatly increasing the complexity of the energy management system(EMS).Considering the great potential of deep reinforcement learning(DRL)for solving complex control problems,this work proposes a DRL-based EMS for an *** simulation results demonstrate that the DRL-based EMS can save 2%more fuel energy than the rule-based EMS because the former provides higher average efficiencies for both engine and motor,as well as more stable ORC power and battery ***,the battery always has sufficient capacity to store the ORC ***,DRL showed great potential for solving complex energy management problems.

关键词： hybrid electric vehicles organic Rankine cycle waste heat recovery deep reinforcement learning energy management system

Optimizing hybrid electric vehicle coupling organic Rankine cycle energy management strategy via deep reinforcement learning

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Energy and AI

Energy and AI 2024年第3期17卷 295-312页

作者： xuanang zhang Xuan Wang Ping Yuan Hua Tian Gequn Shu State Key Laboratory of Engines Tianjin UniversityNo.92Weijin RoadNankai DistrictTianjin300072China Department of Thermal Science and Energy Engineering University of Science and Technology of ChinaHefei230027China

Trucks consume a lot of energy. Hybrid technology maintains a long range while realizing energy savings. Hybrid is therefore an effective energy-saving technology for trucks. Recovery of engine waste heat through the organic Rankine cycle further enhances engine efficiency and provides effective thermal management. However, the powertrain greatly increases the complexity of energy management system. In order to design an energy management system with high efficiency and robustness, this study proposes a deep reinforcement learning embedded rule-based energy management system. This method optimises the key parameters of the rule-based energy management system by inserting deep reinforcement learning into it. Therefore, this scheme combines the good optimization effect of deep reinforcement learning and the excellent robustness of rule. In order to verify the feasibility of this scheme, this study builds the system dynamic model and carries out a simulation study. Subsequently, a hybrid powertrain semi physical experimental bench was constructed and a rapid control prototype experimental study was carried out. The simulation results show that the deep reinforcement learning embedded rule-based energy management system can reduce the energy consumption by 4.31 % compared with the rule-based energy management system under the C-WTVC driving cycle. In addition, energy saving and safe operation can also be achieved under other unfamiliar untrained driving cycles. The rapid control prototype experimental study shows that the deep reinforcement learning embedded rule-based energy management system has good agreement in experiment and simulation, which demonstrates the potential for real vehicle engineering applications and promotes the engineering application of deep reinforcement learning.

关键词： Deep reinforcement learning Hybrid electric vehicle Organic Rankine cycle Energy management system Rapid control prototype

基于动态特性的S-CO_(2)布雷顿循环构型对比

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工程热物理学报 2022年第9期43卷 2292-2298页

作者：边幸燕王轩王瑞蔡金文张轩昂田华舒歌群天津大学内燃机燃烧学国家重点实验室天津300350 中国科学技术大学热科学与能源工程系合肥230027

S-CO_(2)布雷顿循环因其结构紧凑和热效率高等优点而被认为是最具有发展前景的动力系统之一。不同构型的动态特性对构型优选至关重要。本文基于Matlab/Simulink搭建了简单回热、再压缩和再热三种S-CO_(2)布雷顿循环构型的动态模型,并探... 详细信息

S-CO_(2)布雷顿循环因其结构紧凑和热效率高等优点而被认为是最具有发展前景的动力系统之一。不同构型的动态特性对构型优选至关重要。本文基于Matlab/Simulink搭建了简单回热、再压缩和再热三种S-CO_(2)布雷顿循环构型的动态模型,并探究了不同构型在热源温度阶跃下的开环特性和控制冷端温度下的负荷追踪特性。结果表明,三种构型均可以在控制冷端温度的前提下实现负荷的及时追踪。在设计工况下再热构型的热效率高于再压缩构型,但随着负荷的下降,结果则相反。

关键词： S-CO_(2)布雷顿循环构型动态特性遗传算法

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居民财产性收入与金融资产结构的相关性研究

安徽工程大学学报 2018年第5期33卷 46-52页

作者：黄华继张轩昂安徽财经大学金融学院安徽蚌埠233030

以我国居民金融资产结构的动态变化为基础,运用1993～2014年的数据研究和判断我国居民财产性收入和金融资产之间是否存在结构性的关联,得出财产性收入在不同金融资产选择下所出现的相关影响.研究结果表明:居民财产性收入和家庭金融资产... 详细信息

以我国居民金融资产结构的动态变化为基础,运用1993～2014年的数据研究和判断我国居民财产性收入和金融资产之间是否存在结构性的关联,得出财产性收入在不同金融资产选择下所出现的相关影响.研究结果表明:居民财产性收入和家庭金融资产结构之间不存在协整关系;现金、股票、保险对于财产性收入的影响程度较大,居民对于流动性资产的需求增长日益明显.

关键词：财产性收入金融资产结构 VAR模型

耦合全工况高效余热回收系统的混动卡车道路适应性研究

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热力发电 2024年第7期53卷 149-158页

作者：王轩殷艺玮王竞宇田华舒歌群张轩昂天津大学机械工程学院天津300072 中国科学技术大学工程科学学院安徽合肥230027

公路运输领域的节能减排是实现碳中和战略的重要环节。重型商用车辆功率以及续航需求大,由传统燃油车型向混合动力转型并进行余热回收利用对提升发动机效率、降低能耗具有重要意义。但目前的研究中与混合动力耦合的余热回收系统的结构简... 详细信息

公路运输领域的节能减排是实现碳中和战略的重要环节。重型商用车辆功率以及续航需求大,由传统燃油车型向混合动力转型并进行余热回收利用对提升发动机效率、降低能耗具有重要意义。但目前的研究中与混合动力耦合的余热回收系统的结构简单,仅能回收缸套水或烟气单一形式的余热能,对车辆整体效率的提升程度有限。因此提出了一种基于有机朗肯循环的能够同时回收烟气及缸套水余热并在全工况下高效运行的余热回收系统。将其与串联式混合动力系统耦合,并在高速、城郊道路工况下运行,深入探究了有机朗肯循环系统性能表现以及耦合系统整体能效提升效果。结果表明在考虑余热回收系统质量的前提下,该余热回收系统在高速路况USHWY对发动机效率的提升为2.85%,降低整体燃油消耗6.78%,在城郊路况UDDS下提升发动机效率2.30%,整体燃油消耗降低6.43%,证明了系统的节油能力和应用潜力。研究发现有机朗肯循环系统工作惯性大,发动机的长期稳定运行对于提升系统输出功率和效率具有决定性作用,因此该系统适合匹配高速运行的重型混合动力车辆。

关键词：有机朗肯循环余热回收混合动力重型卡车

From the perspective of experimental practice: High-throughput computational screening in photocatalysis

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Green Energy & Environment 2024年第1期9卷 1-6页

作者： Yunxuan Zhao Junyu Gao xuanang Bian Han Tang Tierui zhang Key Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing100190China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing100049China Institute for AI Industry Research(AIR) Tsinghua UniversityBeijing100084China

Photocatalysis,a critical strategy for harvesting sunlight to address energy demand and environmental concerns,is underpinned by the discovery of high-performance photocatalysts,thereby how to design photocatalysts is now generating widespread interest in boosting the conversion efﬁ-ciency of solar *** the past decade,computational technologies and theoretical simulations have led to a major leap in the development of high-throughput computational screening strategies for novel high-efﬁciency *** this viewpoint,we started with introducing the challenges of photocatalysis from the view of experimental practice,especially the inefﬁciency of the traditional“trial and error”***-sequently,a cross-sectional comparison between experimental and high-throughput computational screening for photocatalysis is presented and discussed in *** the basis of the current experimental progress in photocatalysis,we also exempliﬁed the various challenges associated with high-throughput computational screening ***,we offered a preferred high-throughput computational screening procedure for pho-tocatalysts from an experimental practice perspective(model construction and screening,standardized experiments,assessment and revision),with the aim of a better correlation of high-throughput simulations and experimental practices,motivating to search for better descriptors.

关键词： Photocatalysis High-throughput computational screening Photocatalyst Theoretical simulations Experiments

Progress and Prospect of Photothermal Catalysis

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Chemical Research in Chinese Universities 2022年第3期38卷 723-734页

作者： DU Shihao BIAN xuanang ZHAO Yunxuan SHI Run zhang Tierui Key Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing100090P.R.China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing100149P.R.China

Recently,solar-driven synthesis due to its energy-saving and environmentally friendly advantages has attracted more and more attention,whereas the low solar-to-chemical conversion efficiency significantly hindered its *** effective options that fully utilize full-band sunlight are urgently *** photothermal catalysis combined with the advantages of photocatalysis and thermalcatalysis can improve the utilization efficiency of solar energy and lower the reaction temperature,thus becoming a promising *** review divides photothermal catalysis into photo-assisted thermalcatalysis,thermal-assisted photocatalysis,and photothermal synergistic ***,the catalytic mechanical understanding of how photothermal affects the catalytic property of different applications(e.g.,water splitting,CO_(2)/N_(2) reduction,and environmental treatment)was also summed up and discussed in *** discussion ends with unsolved challenges in photothermal catalysis,particularly emphasizing the effect of temperature or sunlight on catalytic performance.

关键词： Photothermal catalysis Photocatalysis Solar Fuel Environment

Layered double hydroxide-based photocatalytic materials toward renewable solar fuels production

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InfoMat 2021年第7期3卷 719-738页

作者： xuanang Bian Shuai zhang Yunxuan Zhao Run Shi Tierui zhang Key Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijingChina Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijingChina

Photocatalysis is an ideal and promising green technology to drive numerous chemical reactions for valued chemicals production under very mild conditions,thereby providing solutions to global energy and environment issues related to burning fossil *** the past decade,layered double hydroxides(LDHs),as the members in two-dimensional materials family,have attracted much attention due to their many advantages in photocatalysis,such as facile synthesis,low cost and powerful tunability of *** this review,we provide a synthetic overview of recent research advances of LDH-based photocatalysts,with the main discussion of the design strategies to improve their photocatalytic performance,including component control,defect engineering,hybridization,and topological ***-performance correlations and tailor-made material synthesis strategies are elaborated to discuss how to realize high-performance LDH-based photocatalysts for three important reactions(i.e.,water splitting,CO_(2)conversion,and N2 reduction)to generate desirable solar ***,the remaining challenges and future perspectives of LDH-based photocatalysts are summed up,aiming to inspire brand new solutions for pushing forward the development of LDH-based photocatalysis.

关键词： component control defect engineering layered double hydroxide photocatalysis solar fuels

基于电成像测井的深层页岩气储层裂缝特征及其与构造演化的关系

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测井技术 2023年第6期47卷 717-725页

作者：张轩昂闫建平廖茂杰钟光海郭伟黄毅西南石油大学地球科学与技术学院四川成都610500 天然气地质四川省重点实验室(西南石油大学) 四川成都610500 油气藏地质及开发工程全国重点实验室(西南石油大学) 四川成都610500 中国石油西南油气田公司页岩气研究院四川成都610500 中国石油勘探开发研究院北京100083 中国石油集团测井有限公司西南分公司重庆400021

为了确定深层页岩气储层裂缝与构造的演化关系,利用电成像测井、岩心、地球化学测试等资料对川南泸州L20X井深层页岩气储层构造裂缝类型与产状特征、形成期次及与构造演化之间的关系开展研究。研究结果表明:(1)构造裂缝按成因可分为穿... 详细信息

为了确定深层页岩气储层裂缝与构造的演化关系,利用电成像测井、岩心、地球化学测试等资料对川南泸州L20X井深层页岩气储层构造裂缝类型与产状特征、形成期次及与构造演化之间的关系开展研究。研究结果表明:(1)构造裂缝按成因可分为穿层剪切缝、层内张裂缝、顺层滑脱缝、复合缝、构造压溶缝合线;电成像测井数据可识别出的构造裂缝有高阻缝、高导缝和断层,高阻缝、高导缝多为穿层剪切缝。(2)构造裂缝的形成主要受3期构造运动的影响,印支期受NNW向应力挤压,发育NEE向剖面剪切缝和NWW向断层;燕山晚-喜山早期受SEE向挤压,发育NNE向剖面剪切缝和NEE向断层;喜山中-晚期受NEE向挤压,发育NW向剖面剪切缝和NNE向断层。电成像测井数据统计出的裂缝走向产状有NEE、NNE和NW,与3期构造运动密切相关,是3期构造运动在地层中留下的构造记录。该研究表明电成像测井数据可为构造期次演化分析提供依据。

关键词：电成像测井深层页岩气裂缝构造期次构造演化剪切缝断层

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基于水滑石衍生钌催化剂光驱动合成氨的研究

高等学校化学学报 2023年第6期44卷 105-112页

作者：卞宣昂周超赵运宣张铁锐中国科学院理化技术研究所光化学转换与功能材料重点实验室北京100190 中国科学院大学材料科学与光电技术中心北京100049

通过在还原性气氛中煅烧钌基水滑石前驱体,制备了高度分散于金属氧化物纳米片上的钌纳米颗粒(MgAlRu-500R).利用X射线衍射(XRD)、高分辨透射电子显微镜(HRTEM)、X射线光电子能谱(XPS)和紫外-可见-近红外漫反射光谱(UV-Vis-NIR DRS)对MgA... 详细信息

通过在还原性气氛中煅烧钌基水滑石前驱体,制备了高度分散于金属氧化物纳米片上的钌纳米颗粒(MgAlRu-500R).利用X射线衍射(XRD)、高分辨透射电子显微镜(HRTEM)、X射线光电子能谱(XPS)和紫外-可见-近红外漫反射光谱(UV-Vis-NIR DRS)对MgAlRu-500R的晶体结构、形貌、元素组成和光学特性进行分析表征.基于流动相反应体系研究了MgAlRu-500R催化剂在常压条件下的光热催化合成氨性能.结果表明,MgAlRu-500R可以仅依靠光照升温至300℃以上,并驱动光热催化合成氨反应.在380℃下,MgAlRu-500R光热催化合成氨速率高达3.0 mmol·g^(-1)·h^(-1),显著高于相同温度下的热催化合成氨速率(1.5 mmol·g^(-1)·h^(-1)).动力学分析(包括表观活化能和动力学反应级数的测定)结果表明,优异的光热催化合成氨活性是因为光激发加速了N2解离,进而降低了反应活化能.

关键词：合成氨光热催化层状双金属氢氧化物钌催化剂