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Low-Carbon Dispatching for Virtual Power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value

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Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 346-358页

作者： Hongchao Gao Tai Jin Guanxiong Wang Qixin chen Chongqing kang Jingkai Zhu State Key Laboratory of Power System Operation and Control Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Sichuan Energy Internet Research Institute Tsinghua University Chengdu 200016China Power Dispatching and Control center of Shanghai Municipal Electric Power Company Shanghai 200122China IEEE

The scale of distributed energy resources is increasing,but imperfect business models and value transmission mechanisms lead to low utilization ratio and poor *** address this issue,the concept of cleanness value of distributed energy storage(DES)is proposed,and the spatiotemporal distribution mechanism is discussed from the perspectives of electrical energy and *** on this,an evaluation system for the environmental benefits of DES is constructed to balance the interests between the aggregator and the power system ***,an optimal low-carbon dispatching for a virtual power plant(VPP)with aggregated DES is constructed,where-in energy value and cleanness value are both *** achieve the goal,a green attribute labeling method is used to establish a correlation constraint between the nodal carbon potential of the distribution network(DN)and DES behavior,but as a cost,it brings multiple nonlinear ***,a solution method based on the convex envelope(CE)linear re-construction method is proposed for the multivariate nonlinear programming problem,thereby improving solution efficiency and ***,the simulation verification based on the IEEE 33-bus DN is *** simulation results show that the multidimensional value recognition of DES motivates the willingness of resource users to ***,resolving the impact of DES on the nodal carbon potential can effectively alleviate overcompensation of the cleanness value.

关键词： Distributed energy storage virtual power plant(VPP) spatiotemporal distribution low-carbon dispatching

Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion battery

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Frontiers in Energy 2024年第2期18卷 223-240页

作者： Nan QI kang YAN Yajuan YU Rui LI Rong HUANG Lai chen Yuefeng SU beijing Institute of Technology Chongqing Innovation center Chongqing 401120China Department of Energy and environmental Materials School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China beijing Electric Vehicle Co. Ltd.Beijing 100176China

As the intersection of disciplines deepens,the field of battery modeling is increasingly employing various artificial intelligence(AI)approaches to improve the efficiency of battery management and enhance the stability and reliability of battery *** paper reviews the value of AI methods in lithium-ion battery health management and in particular analyses the application of machine learning(ML),one of the many branches of AI,to lithium-ion battery state of health(SOH),focusing on the advantages and strengths of neural network(NN)methods in ML for lithium-ion battery SOH simulation and *** is one of the important branches of ML,in which the application of NNs such as backpropagation NN,convolutional NN,and long short-term memory NN in SOH estimation of lithium-ion batteries has received wide *** so far have shown that the utilization of NN to model the SOH of lithium-ion batteries has the advantages of high efficiency,low energy consumption,high robustness,and scalable *** the future,NN can make a greater contribution to lithium-ion battery management by,first,utilizing more field data to play a more practical role in health feature screening and model building,and second,by enhancing the intelligent screening and combination of battery parameters to characterize the actual lithium-ion battery SOH to a greater *** in-depth application of NN in lithium-ion battery SOH will certainly further enhance the science,reliability,stability,and robustness of lithium-ion battery management.

关键词： machine learning lithium-ion battery state of health neural network artificial intelligence

Risk assessment of oil and gas investment environment in countries along the Belt and Road Initiative

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Petroleum Science 2024年第2期21卷 1429-1443页

作者： Bao-Jun Tang Chang-Jing Ji Yu-Xian Zheng kang-Ning Liu Yi-Fei Ma Jun-Yu chen center for Energy and environmental Policy Research Beijing Institute of TechnologyBeijing100081China School of Management and Economics Beijing Institute of TechnologyBeijing100081China Collaborative Innovation center of Electric Vehicles in beijing BeijingChina Sustainable Development Research Institute for Economy and Society of beijing BeijingChina Institute of Carbon Neutrality ShanghaiTech UniversityShanghai201210China

With the implementation of the Belt and Road Initiative, china is deepening its cooperation in oil and gas resources with countries along the Initiative. In order to better mitigate risks and enhance the safety of investments, it is of significant importance to research the oil and gas investment environment in these countries for china's overseas investment macro-layout. This paper proposes an indicator system including 2. indicators from 6 dimensions. On this basis, game theory models combined with global entropy method and analytic hierarchy process are applied to determine the combined weights, and the TOPSIS-GRA model is utilized to assess the risks of oil and gas investment in 76 countries along the Initiative from 2.14 to 2.2.. Finally, the GM(1,1) model is employed to predict risk values for 2.2.-2.2.. In conclusion, oil and gas resources and political factors have the greatest impact on investment environment risk, and 12.countries with greater investment potential are selected through cluster analysis in conjunction with the predicted results. The research findings may provide scientific decisionmaking recommendations for the {2. government and oil enterprises to strengthen oil and gas investment cooperation with countries along the Belt and Road Initiative.

关键词： Belt and Road Initiative Oil and Gas Investment Risk assessment

Spatial heterogeneity and compositional profiles of dissolved organic matter in farmland soils across china' Mainland

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Journal of environmental sciences 2024年第3期137卷 593-603页

作者： Bingjun Han Liyuan chen kang Xiao Yang Liu Dong Cao Lu Yu Yujun Li Shu Tao Wenxin Liu Key Laboratory for Earth Surface Processes College of Urban and Environmental SciencesPeking UniversityBeijing 100871China beijing Yanshan Earth Critical Zone National Research Station College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing 101408China center for Water and Ecology State Key Joint Laboratory of Environment Simulation and Pollution ControlSchool of EnvironmentTsinghua UniversityBeijing 100084China State Key Laboratory of environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental ScienceChinese Academy of SciencesBeijing 100085China

Dissolved organic matter(DOM) plays an essential role in many geochemical processes,however its complexity, chemical diversity, and molecular composition are poorly understood. Soil samples were collected from 500 vegetable fields in administrative regions of china' Mainland, of which 12. were selected for further investigation. DOM properties were characterized by three-dimensional excitation-emission matrix(3D-EEM) fuorescence spectroscopy and Fourier transform ion cyclotron resonance mass spectrometry(FTICRMS)(field intensity is 15 Tesla). Our results indicated that the main constituents were UVA humic-like substances, humic-like substances, fulvic acid-like substances, and tyrosine-like substances. A total of 10,989 molecular formulae with a mass range of 100.04 to 799.59 Da were detected, covering the mass spectrometric information of the soil samples from 2. different regions. CHO and CHON molecules were dominant in DOM, whereas lignin, tannins,and aromatic substances served as the main components. The results of cluster analysis revealed that the soil properties in Jiangxi Province were considerably different from those in other regions. The key backgrounds of the DOM molecular characteristics in the vegetablefield soil samples across china' Mainland were provided at the molecular level, with large abundance and great variability.

关键词： Dissolved organic matter(DOM) Fourier transform ion cyclotron resonance mass(FTICR-MS) Excitation-emission matrix(EEM) Vegetable-field soils china' Mainland

A neural m^(6)A pathway regulates behavioral aggregation in migratory locusts

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Science china(Life sciences) 2024年第6期67卷 1242-1254页

作者： Xianliang Huang Qing Li Yanan Xu Ang Li Shanzheng Wang Yusheng chen Chunrui Zhang Xia Zhang Hailin Wang Cong Lv Baofa Sun Shaoqin Li Le kang Bing chen School of Life Science Institutes of Life Science and Green DevelopmentHebei UniversityBaoding 071002China College of Plant Science and Technology Huazhong Agricultural UniversityWuhan 430070China State Key Laboratory of Integrated Management of Pest Insects and Rodents Institute of ZoologyChinese Academy of SciencesBeijing 100101China Institute of Health sciences Anhui UniversityHefei 230601China beijing Institute of Genomics Chinese Academy of SciencesBeijing 100101China State Key Laboratory of environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing100101China

RNA N6-methyladenosine(m^(6)A),as the most abundant modification of messenger RNA,can modulate insect behaviors,but its specific roles in aggregation behaviors remain ***,we conducted a comprehensive molecular and physiological characterization of the individual components of the methyltransferase and demethylase in the migratory locust Locusta *** results demonstrated that METTL3,METTL14 and ALKBH5 were dominantly expressed in the brain and exhibited remarkable responses to crowding or *** individual knockdown of methyltransferases(i.e.,METTL3 and METTL14)promoted locust movement and conspecific attraction,whereas ALKBH5 knockdown induced a behavioral shift toward the solitary ***,global transcriptome profiles revealed that m^(6)A modification could regulate the orchestration of gene expression to fine tune the behavioral aggregation of *** summary,our in vivo characterization of the m^(6)A functions in migratory locusts clearly demonstrated the crucial roles of the m^(6)A pathway in effectively modulating aggregation behaviors.

关键词： RNA methylation N^(6)-methyladenosine transcriptional orchestration aggregation behavior Locusta migratoria

东亚地区栓皮栎叶片表皮毛空间变异特征及其与气孔的协同关系

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Journal of Plant Ecology 2024年第3期17卷 153-161页

作者： Yanhua Zhu Ji Zheng Hongzhang kang Nan Hui Shan Yin Zhicheng chen Baoming Du Chunjiang Liu School of Agriculture and Biology Shanghai Jiao Tong UniversityShanghai 200240China Instrumental Analysis center Shanghai Jiao Tong UniversityShanghai 200240China School of Design Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Urban Forest Ecosystem Research Station State Forestry AdministrationShanghai 200240China Shanghai Yangtze River Delta Ecoenvironmental Change and Management Observation and Research Station Ministry of Science and TechnologyShanghai 200240China Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration Ecology and Nature Conservation InstituteChinese Academy of ForestryBeijing 100091China

理解植物功能性状的地理变异对预测全球气候变化下的植物响应至关重要。叶片表皮毛由表皮细胞发育而来,具有调节叶片温度和控制气体交换的功能,然而大的地理尺度上叶片表皮毛如何变异,以及它们与气孔之间的关系仍不清楚。本研究以栓皮栎... 详细信息

理解植物功能性状的地理变异对预测全球气候变化下的植物响应至关重要。叶片表皮毛由表皮细胞发育而来,具有调节叶片温度和控制气体交换的功能,然而大的地理尺度上叶片表皮毛如何变异,以及它们与气孔之间的关系仍不清楚。本研究以栓皮栎(Quercus variabilis)为研究对象,分析了东亚地区44个种群叶片表皮毛密度,并评估了它们与气候因子和气孔等性状之间的相关性。同时,为了进一步检测环境变化下的表皮毛响应特征以及与气孔之间的协同关系,本研究利用其中15个种群开展了同质园试验。研究结果发现,栓皮栎叶片表皮毛密度平均值为459.78个mm^(−2.,变异范围为32..79–552.38 mm^(−2.。表皮毛密度会随纬度增加而增加,随经度减少而减少,并且与温度和降水呈负相关。同时发现,无论是在野外还是在同质园,叶片表皮毛密度均与气孔密度呈正相关,并且两者均会随干旱强度的增加而增加。这些结果表明,面对环境变化叶片表皮毛密度具有高度的适应性变异,并且可与气孔协同适应这种变化。该研究结果对加深理解气候变化下植物适应策略以及叶片功能性状之间的协同互作具有重要意义。

关键词：叶片功能性状表皮毛气孔性状-性状关系性状-环境关系气候变化

The Nano Research Young Innovators Awards in bio-inspired nanomaterials

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Nano Research 2024年第2期17卷 417-425页

作者： Jun chen Shuotao Wang Department of Bioengineering University of CaliforniaLos AngelesLos AngelesCA 90095USA Key Laboratory of Bio-inspired Materials and Interfacial Science Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing 100190China

Nano Research Young Innovators(NR45)Awards are designed to acknowledge and celebrate the achievements of young researchers under 45 years of *** individuals have made significant contributions to the field of nanoscience and *** the inaugural NR45 Awards in 2.18,the journal's editorial board has recognized over a hundred innovators specializing in nanobiotechnology,nano energy,two-dimensional materials,and *** focus of the 2.2. NR45 Awards is on bioinspired nanomaterials,acknowledging thirty-three outstanding young innovators for their extraordinary contributions in developing these materials with applications spanning clean energy,human healthcare,monitoring,and disease treatments,as shown in *** extend our heartfelt congratulations to all the 33 NR45 Awardees in 2.2.!

关键词： journal materials contributions

Characteristics and genesis of groundwater salinization in coastal areas of the Lower Reaches of Oujiang Basin

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Journal of Groundwater Science and Engineering 2024年第2期12卷 190-204页

作者： Mei-hui Zhang Shi-yang Zhou Dan-dan Liu Ying Zhang Yu-xi Zhang Xi chen Hui-wei Wang Bei Li Wei kang Bing Yi Wan-peng Shi Institute of Hydrogeology and environmental Geology Chinese Academy of Geological SciencesShijiazhuang 050061China Fujian Provincial Key Laboratory of Water Cycling and Eco–Geological Processes Xiamen 361021FujianChina china University of Geosciences({2.) Beijing 100083China Changsha center of Natural Resources Comprehensive Survey China Geological SurveyChangsha 410600China Hydrogeological environmental Geological Survey center of{2. Geological Survey Tianjin 071501China china University of Geosciences Wuhan 430074China

The coastal areas of the lower reaches of Oujiang River Basin are rich in groundwater ***,the unsustainable exploitation and utilization of groundwater have led to significant changes in the groundwater *** the characteristics and genesis of groundwater salinization is crucial for preventing its deterioration and ensuring sustainable *** this study,a comprehensive approach combining the ion ratio method,mineral saturation index method and multivariate statistical analysis was employed to investigate the hydrochemical characteristics and main controlling factors in the study *** findings reveal that:(1)Groundwater samples in study area exhibit a neutral to slightly alkaline *** predominant chemical types of unconfined water are HCO_(3)-Ca·Na,HCO_(3)·Cl-Na·Ca and HCO_(3)·SO_(4)-Ca·Na,while confined water mainly exhibits Cl·HCO_(3)-Na and Cl-Na types.(2.Salinity coefficients indicate an increase in salinity from unconfined to confined ***,Na^(+)and Cl^(–)concentrations show an increasing trend from mountainous to coastal areas in unconfined water,while confined water displays variability in TDS,Na^(+)and Cl^(–)concentrations.(3)Groundwater salinity is mainly influenced by water-rock interactions,including the dissolution of halite and gypsum,cation exchange,and seawater intrusion ***,human activities and carbonate dissolution contribute to salinity in unconfined *** intrusion is identified as the primary factor leading to higher salinity in confined water compared to unconfined water,with increasing cation exchange and seawater interaction observed from unconfined to confined water.

关键词： Hydrochemical Multivariate statistical analysis Seawater intrusion

Clinicopathological Features and Long-Term Prognostic Role of Human Epidermal Growth Factor Receptor-2.Low Expression in chinese Patients with Early Breast Cancer:A Single-Institution Study

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Biomedical and environmental sciences 2024年第5期37卷 457-470页

作者： KONG Zi Qing LIU Li Qun HUANG De Qin WANG Yu Tong LI Jing Jie ZHANG Zheng WANG Xi Xi LIU Chuan Ling ZHANG Ya Di SHAO Jia kang ZHU Yi Min chen Yi Meng LIU Mei ZHAO Wei Hong Medical School of chinese PLA Beijing 100853China Department of Medical Oncology the First Medical CenterGeneral Hospital of the Chinese People’s Liberation ArmyBeijing 100853China Nankai University School of Medicine Tianjin 300071China Department of Medical Oncology the Fifth Medical CenterGeneral Hospital of the Chinese People’s Liberation ArmyBeijing 100039China Department of Medical Oncology Xi'an Jiaotong UniversityXi’an 710061ShaanxiChina Department of Pathology the Sixth Medical CenterGeneral Hospital of the Chinese People’s Liberation ArmyBeijing 100037China

Objective This study aimed to comprehensively analyze and compare the clinicopathological features and prognosis of chinese patients with human epidermal growth factor receptor 2.HER2.-low early breast cancer(BC)and HER2.IHC0 *** Patients diagnosed with HER2.negative BC(N=999)at our institution between January2.11 and December 2.15 formed our study *** characteristics,association between estrogen receptor(ER)expression and HER2.low,and evolution of HER2.immunohistochemical(IHC)score were ***-Meier method and log-rank test were used to compare the long-term survival outcomes(5-year follow-up)between the HER2.IHC0 and HER2.low *** HER2.low BC group tended to demonstrate high expression of ER and more progesterone receptor(PgR)positivity than HER2.IHC0 BC group(P2.low status increased with increasing ER expression levels(Mantel-Haenszelχ^(2.test,P2.low BC group than in HER2.IHC0 group(P=0.007)in the whole cohort and the hormone receptor(HR)-negative *** were no significant differences between the two groups in terms of disease-free survival(DFS).The discordance rate of HER2.IHC scores between primary and metastatic sites was 36.84%.Conclusion HER2.low BC may not be regarded as a unique BC group in this population-based study due to similar clinicopathological features and prognostic roles.

关键词： HER2 HER2.low Breast cancer Estrogen receptor Trastuzumab deruxtecan