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全清洁能源下的高品质矿区能源系统配置优化方法

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煤炭学报 2024年第3期49卷 1669-1679页

作者：梁睿李嘉翔巩敦卫黄宏旭梁凯泽刘海龙李晓中国矿业大学电气工程学院江苏徐州221116 青岛科技大学信息科学技术学院山东青岛266061 中煤集团新疆能源有限公司新疆乌鲁木齐830000 宁夏红墩子煤业有限公司宁夏银川750002

面向“30·60”双碳目标,矿区能源利用方式的绿色、经济、高效转型成为我国能源革命的迫切需求。西部矿区拥有丰富的可再生能源资源禀赋,但仍面临着可再生能源就地消纳困难,电力设备投资成本高、利用率低以及外送输电通道有限的困难。... 详细信息

面向“30·60”双碳目标,矿区能源利用方式的绿色、经济、高效转型成为我国能源革命的迫切需求。西部矿区拥有丰富的可再生能源资源禀赋,但仍面临着可再生能源就地消纳困难,电力设备投资成本高、利用率低以及外送输电通道有限的困难。为提升矿区用能清洁化程度,提升矿区能源供给的稳定性与可靠性,增强矿区对外部电网的支撑能力,提出全清洁能源下的高品质矿区能源系统(High-quality Coal Mine Energy System,HCMES)及其配置优化方法。首先,考虑西部矿山综合能源系统的负荷特点与伴生能源利用,结合可再生能源发电与废弃矿井抽水蓄能,构建全清洁能源下的HCMES架构。其次,考虑到矿区生产全流程负荷的需求响应能力,考虑系统的能量平衡约束,提出全清洁能源下的高品质矿区能源系统优化配置模型。最后,以系统年平均综合成本最小化为目标,将原问题转化为混合整数线性规划模型,求解生成高品质矿区能源系统优化配置方案。以我国西部某年产煤量1200万t的矿区实际数据为实例,验证所提模型与方法的有效性,并分析可再生能源出力与生产负荷需求不确定性对系统优化配置结果的影响。算例仿真设置了4种矿区能源系统配置方式:不配置储能、配置抽水蓄能、配置电化学储能、配置抽水蓄能(不外购电能)。结果表明,所提出的HCMES相较于其他配置方式可减少电气一次设备投资11.11%,相较于方式3可降低年平均综合成本7.91%,且最多可减少矿区生产用能总二氧化碳排放量91.17%。

关键词：全清洁能源伴生能源利用废弃矿井抽水蓄能矿山综合能源配置优化

Tung Tree(Vernicia fordii) Genome Provides A Resource for Understanding Genome Evolution and Improved Oil Production

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Genomics, Proteomics & Bioinformatics 2019年第6期17卷 558-575页

作者： Lin Zhang Meilan Liu hongxu long Wei Dong Asher Pasha Eddi Esteban Wenying Li Xiaoming Yang Ze Li Aixia Song Duo Ran Guang Zhao Yanling Zeng Hao Chen Ming Zou Jingjing Li Fan Liang Meili Xie Jiang Hu Depeng Wang Heping Cao Nicholas J.Provart Liangsheng Zhang Xiaofeng Tan Key Laboratory of Cultivation and Protection for Non-Wood Forest Trees Ministry of EducationCentral South University of Forestry and TechnologyChangsha 410004China Key Lab of Non-wood Forest Products of State Forestry Administration College of ForestryCentral South University of Forestry and TechnologyChangsha 410004China Department of Cell and Systems Biology/Centre for the Analysis of Genome Evolution and Function University of TorontoTorontoOntario M5S 3B2Canada State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyFujian Agriculture and Forestry UniversityFuzhou 350002China College of Forestry Nanjing Forestry UniversityNanjing 210037China Nextomics Biosciences Co. Wuhan 430073China Oil Crop Research Institute Chinese Academy of Agricultural SciencesWuhan 430062China US Department of Agriculture Agricultural Research ServiceSouthern Regional Research CenterNew OrleansLA 70124USA

Tung tree(Vernicia fordii) is an economically important woody oil plant that produces tung oil rich in eleostearic acid. Here, we report a high-quality chromosome-scale genome sequence of tung tree. The genome sequence was assembled by combining Illumina short reads, Pacific Biosciences single-molecule real-time long reads, and Hi-C sequencing data. The size of tung tree genome is 1.12 Gb, with 28,422 predicted genes and over 73% repeat sequences. The V. fordii underwent an ancient genome triplication event shared by core eudicots but no further wholegenome duplication in the subsequent ca. 34.55 million years of evolutionary history of the tung tree lineage. Insertion time analysis revealed that repeat-driven genome expansion might have arisen as a result of long-standing long terminal repeat retrotransposon bursts and lack of efficient DNA deletion mechanisms. The genome harbors 88 resistance genes encoding nucleotide-binding sites;17 of these genes may be involved in early-infection stage of Fusarium wilt resistance. Further, 651 oil-related genes were identified, 88 of which are predicted to be directly involved in tung oil biosynthesis. Relatively few phosphoenolpyruvate carboxykinase genes, and synergistic effects between transcription factors and oil biosynthesis-related genes might contribute to the high oil content of tung seed. The tung tree genome constitutes a valuable resource for understanding genome evolution, as well as for molecular breeding and genetic improvements for oil production.

关键词： Tung tree genome Tung oil Genome evolution Electronic fluorescent pictographic browser Oil biosynthesis

Study on the influencing factors to reduce the recovery time of superconducting tapes and coils for the DC superconducting fault current limiter applications

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High Voltage 2022年第3期7卷 483-495页

作者： Bin Xiang Wenqing Wang hongxu Li Lei Gao Zhiyuan Liu Yingsan Geng Jianhua Wang Youping Tu Department of Electrical Engineering State Key Laboratory of Electrical Insulation and Power EquipmentXi'an Jiaotong UniversityXi'anChina State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijingChina

Superconducting fault current limiters(SFCLs)are important in improving the stability of electrical power systems.However,the existing resistive-type DC SFCL has a long re-covery time,which cannot meet the requirements of power system auto-reclosure.Thus,it is necessary to investigate the methods of reducing recovery time of SFCLs.In the simulations on superconducting tapes,there is a lack of investigation about the effects of design factors of superconducting tapes and coils such as material,thickness,coil radius,coil winding method on recovery characteristics.The objective of this study is to obtain the effects of material and geometric properties of superconducting tapes and coils on recovery characteristics and obtain methods to reduce the recovery time.The recovery times under different conducting currents are also compared by simulations and exper-iments to verify simulation accuracy.The maximum error is below 40%and most of the cases have an error below 10%.Besides,by increasing tape thickness,the recovery time can be reduced by 22%.Tape materials and coil winding methods can be designed ac-cording to the auto-reclosure and current-limiting requirements of the power systems.The research provided directions for the design of superconducting tape and super-conducting coil for resistive-type DC SFCLs.

关键词： fault winding conducting

2022年秋末初冬贵州一次超强寒潮天气过程分析

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山地气象学报 2024年第2期48卷 24-32页

作者：白慧毛倩董文韬潘虹旭欧阳大亮贵州省黔东南苗族侗族自治州气象局贵州凯里556000 贵州省丹寨县气象局贵州丹寨557500

【目的】2022年11月29日—12月1日贵州出现一次超强寒潮天气过程,为分析此次超强寒潮及其伴随的剧烈降温、大风和雪凝天气的成因。【方法】利用常规观测资料和NECP 1°×1°逐6 h再分析资料,运用天气学原理和天气动力学诊断分析方法。... 详细信息

【目的】2022年11月29日—12月1日贵州出现一次超强寒潮天气过程,为分析此次超强寒潮及其伴随的剧烈降温、大风和雪凝天气的成因。【方法】利用常规观测资料和NECP 1°×1°逐6 h再分析资料,运用天气学原理和天气动力学诊断分析方法。【结果】(1)此次超强寒潮天气过程是在中高纬地区配合有-48℃冷中心的冷涡低槽发展东移南压,引导强冷空气大举南下以及副高加强西伸北抬、高原上多小槽东移的背景下产生的。(2)前期热低压发展加深,贵州大部地区最高气温异常回升至27℃以上,850 hPa冷平流强盛且维持时间长,是造成降温幅度大、气温低、降温持续时间长的主要原因。冷平流强度低于-32×10-5℃·s^(-1)的区域与过程最低气温降幅超过16℃的区域基本一致。【结论】(1)强气压梯度和变压梯度是此次超强寒潮强风形成的主要原因,大风区ΔP3普遍超过3 hPa,ΔP24普遍超过10 hPa。ΔP3>3 hPa、ΔP24>10 hPa可作为寒潮大风预报指标。(2)西南低空急流维持加强,持续输送水汽并使贵州大气层结呈中间暖、上下冷的“三层”结构模式,850 hPa到地面温度T<0℃,为雪凝天气的发生发展提供了水汽和温度条件。当850 hPa温度T≤-2℃、地面温度T≤0℃时,降水相态由雨转冻雨或雨夹雪或雪。

关键词：贵州超强寒潮强风雪凝成因

Effect of stereoregularity on excitation-dependent fluorescence and room-temperature phosphorescence of poly(2-vinylpyridine)

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聚集体(英文)

聚集体(英文) 2023年第2期4卷 267-274页

作者： hongxu Du Wenjing Zhao Yijie Xia Siyu Xie Yi Tao Yi Qin Gao Jie Zhang Xinhua Wan Beijing National Laboratory for Molecular Sciences Key Laboratory of Polymer Chemistry and Physics of Ministry of EducationCollege of Chemistry and Molecular EngineeringPeking UniversityBeijingChina Beijing National Laboratory for Molecular Sciences College of Chemistry and Molecular EngineeringPeking UniversityBeijingChina

Preparation of non-conjugated luminescent polymers(NCLPs)with excellent cluster luminescence(CL)performance is of great significance for scientific and industrious applications,and yet improving the performance of NCLPs through proper structural design is still a huge challenge.Herein,we report a non-conjugated ionized polymeric system consisting of(−)-camphorsulfonic acid((−)-CSA)and poly(2-vinylpyridine)(P2VP).These acid-base complexes exhibit typical excitationdependent fluorescence and room-temperature phosphorescence(RTP)with a lifetime up to 364 ms.We discover that changing the stereoregularity from atactic to isotactic significantly improves the CL performance of the complex.It(1)broadens the fluorescence emission spectra to cover the entire visible region,(2)enhances the fluorescence emission intensity at long wavelength beyond 500 nm,(3)enhances the phosphorescence intensity,and(4)extends the phosphorescence lifetime.Systematical experimental characterization and molecular dynamics simulation unravel the key role of stereoregularity in determining the formation of different pyridine aggregates that strongly influence the CL performance.Moreover,the different luminescence shows great potential in excitation divided information display and time-resolved encrypted display.This work not only points to a new direction for developing NCLPs with excellent performance,but also broadens the applications of NCLPs materials.

关键词： cluster luminescence excitation-dependent fluorescence poly(2-vinylpyridine) room-temperature phosphorescence stereoregularity

Dynamic analysis of heat extraction rate by supercritical carbon dioxide in fractured rock mass based on a thermal-hydraulic-mechanics coupled model

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International Journal of Mining Science and Technology 2022年第2期32卷 225-236页

作者： Chunguang Wang Xingkai Shi Wei Zhang Derek Elsworth Guanglei Cui Shuqing Liu hongxu Wang Weiqiang Song Songtao Hu Peng Zheng College of Energy and Mining Engineering Shandong University of Science and TechnologyQingdao 266590China New-energy Development Center of Sinopec Shengli Oilfield Dongying 257001China Energy and Mineral Engineering and G3 Center Penn State UniversityUniversity ParkPA 16802USA Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines Northeastern UniversityShenyang 110004China Shandong Provincial Geo-Mineral Engineering Co. LtdJinan 250013China Qingdao Wofu New Energy Science and Technology Co. LtdQingdao 266010China

Heat production from geothermal reservoirs is a typical heat transfer process involving a cold working fluid contacting a hot rock formation.Compared to the thermal-physical characteristics of water,supercritical CO_(2)(scCO_(2))has a higher heat storage capacity over a wide temperature-pressure range and may be favored as a heat transfer fluid.Singularly characteristic of scCO_(2)-based heat extraction is that the hydraulic-thermal properties of the scCO_(2) vary dramatically and dynamically with the spatial pressure gradient during unsteady-state flow along fracture.This highly nonlinear behavior presents a challenge in the accurate estimation of heat extraction efficiency in scCO_(2)-based EGS.In this paper,a thermal-h ydraulic-mechanical(THM)coupled model is developed by considering deformation of the fractured reservoir,non-Darcy flow and the varying thermal-physical properties of scCO_(2).The proposed model is validated by matching the modeling temperature distribution with published data.The results show that during continuous injection of scCO_(2),the fracture first widens and then narrows,ultimately reopening over the long term.The sequential fracture deformation behaviors are in response to the combined impacts of mechanical compression and thermally-induced deformation.By controlling the injection parameters of the scCO_(2),it is found that the heat extraction rate is positively correlated to its pore pressure or mass flow rate.The heat extraction rate can be significantly enhanced,when the inlet temperature of scCO_(2) is below its critical temperature.As a result,the heat increment recovered per unit mass of scCO_(2) decreases as the hot rock is gradually cooled.Meanwhile,the heat increment recovered per unit mass of scCO_(2) decreases by increasing the inlet temperature of scCO_(2) or its mass flow rate,but increases as the outlet pressure rises.Furthermore,multi-linear regression indicates that controlling the inlet temperature of the scCO_(2) can significantly improve the thermodynamic efficiency

关键词： Supercritical CO_(2) Heat extraction Hot rock Geothermal energy Fracture-matrix interaction

Bioinspired microcone-array-based living biointerfaces: enhancing the anti-inflammatory effect and neuronal network formation

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Microsystems & Nanoengineering 2020年第1期6卷 664-671页

作者： hongxu Chen Lulu Wang Yi Lu Xuemin Du Institute of Biomedical&Health Engineering Shenzhen Institutes of Advanced Technology(SIAT)Chinese Academy of Sciences(CAS)Shenzhen 518055China The Brain Cognition and Brain Disease Institute Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research InstitutionsShenzhen 518055China

Implantable neural interfaces and systems have attracted much attention due to their broad applications in treating diverse neuropsychiatric disorders.However,obtaining a long-term reliable implant-neural interface is extremely important but remains an urgent challenge due to the resulting acute inflammatory responses.Here,bioinspired microcone-array-based(MA)interfaces have been successfully designed,and their cytocompatibility with neurons and the inflammatory response have been explored.Compared with smooth control samples,MA structures cultured with neuronal cells result in much denser extending neurites,which behave similar to creepers,wrapping tightly around the microcones to form complex and interconnected neuronal networks.After further implantation in mouse brains for 6 weeks,the MA probes(MAPs)significantly reduced glial encapsulation and neuron loss around the implants,suggesting better neuron viability at the implant-neural interfaces than that of smooth probes.This bioinspired strategy for both enhanced glial resistance and neuron network formation via a specific structural design could be a platform technology that not only opens up avenues for next-generation artificial neural networks and brain-machine interfaces but also provides universal approaches to biomedical therapeutics.

关键词： network implantation creep

One-step co-doping of ZnO and Zn^(2+)in osteoinductive calcium phosphate ceramics with synergistic antibacterial activity for regenerative repair of infected bone defect

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Journal of Materials Science & Technology 2023年第32期163卷 168-181页

作者： Tinghan He hongxu Chen Puxin Liu Hao Shi Xiujuan Xu Cong Feng Yuyi Wang Xiangfeng Li Ning Lei Yumei Xiao Xiangdong Zhu Jianguo Xu Xingdong Zhang National Engineering Research Center for Biomaterials College of Biomedical EngineeringSichuan UniversityChengdu 610064China College of Materials and Chemistry&Chemical Engineering Chengdu University of TechnologyChengdu 610059China Department of Neurosurgery West China HospitalSichuan UniversityChengdu 610041China

How to endow bone grafts with long-term antibacterial activity and good bone regenerative ability to achieve the regenerative repair of infected bone defects has been the focus of the clinical treatment of osteomyelitis.The present study introduced a novel one-step route to realizing the co-doping of zinc oxide(ZnO)and zinc ion(Zn^(2+))in biphasic calcium phosphate(BCP)ceramics to utilize their synergistic antibacterial.Compared with the conventional BCP ceramics(BCP-Ca),the ZnO/Zn^(2+)co-doping ones(BCP-Zn)possessed strong antibacterial ability on E.coli and S.aureus as well as stimulated the osteogenic differentiation of bone marrow mesenchymal stem cells(BMSCs)effectively.The synergistic antibacterial mechanism of ZnO and Zn^(2+)was also investigated.BCP-Zn showed excellent osteoinductivity and angiogenesis at three months postoperatively in the canine intramuscular implantation model.Moreover,BCP-Zn exhibited excellent anti-infective ability and bone regenerative repair compared to BCP-Ca and control groups in the infected bone defect model of rat femur.Collectively,these findings suggest that the simultaneous introduction of ZnO/Zn^(2+)could have immense potential to expand the application of osteoinductive BCP ceramics in the regenerative repair of infected bone defects.

关键词： Biphasic calcium phosphate ceramics Zinc oxide Zinc ion Antibacterial ability Osteoinductivity

基于AdaGrad+的自适应Heavy-Ball动量法及其最优个体收敛性

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计算机科学 2023年第11期50卷 220-226页

作者：韦洪旭陇盛陶蔚陶卿中国人民解放军陆军炮兵防空兵学院信息工程系合肥230031 国防科技大学系统工程学院大数据与决策实验室长沙410073 中国人民解放军军事科学院评估论证研究中心北京100091

自适应策略与动量法是提升优化算法性能的常用方法。目前自适应梯度方法大多采用AdaGrad型策略,但该策略在约束优化中效果不佳,为此,研究人员提出了更适用于处理约束问题的AdaGrad+方法,但其与SGD一样在非光滑凸情形下未达到最优个体收... 详细信息

自适应策略与动量法是提升优化算法性能的常用方法。目前自适应梯度方法大多采用AdaGrad型策略,但该策略在约束优化中效果不佳,为此,研究人员提出了更适用于处理约束问题的AdaGrad+方法,但其与SGD一样在非光滑凸情形下未达到最优个体收敛速率,结合NAG动量也并未达到预期的加速效果。针对上述问题,文中将AdaGrad+调整步长的策略与Heavy-Ball型动量法加速收敛的优点相结合,提出了一种基于AdaGrad+的自适应动量法。通过设置加权动量项、巧妙选取时变参数和灵活处理自适应矩阵,证明了该方法对于非光滑一般凸问题具有最优个体收敛速率。最后在l∞∞范数约束下,通过求解典型的hinge损失函数优化问题验证了理论分析的正确性,通过深度卷积神经网络训练实验验证了该方法在实际应用中也具有良好性能。

关键词：凸优化自适应策略 AdaGrad+ Heavy-Ball动量方法收敛速率