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Based on the Scenario Set Generation technology, the Shared Energy Storage Site Selection and Capacity Determination Problem Considering the Grid Constraints

Based on the Scenario Set Generation Technology, the Shared ...

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Power science and technology (ICPST), IEEE International Conference on

作者： Xiaobiao Fu Jinyu Guo Baoju Li Cuiping Li Yao Wang Junhui Li Guanqun Zhang Xingxu Zhu Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education(Northeast Electric Power University) Ji Lin China Power Science Research Institute State Grid Jilin Electric Power Co. Ltd Chang Chun China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

This paper addresses the shared energy storage siting and sizing problem, considering grid constraints based on scenario generation techniques. In the context of high penetration of renewable energy, the power system faces practical challenges such as increased uncertainty and scarcity of flexible resources. To tackle these issues, a two-layer optimization model is proposed in this study. It utilizes scenario generation techniques to obtain possible scenarios for renewable energy and load outputs, and incorporates grid constraints for economic dispatch. Through iterative optimization, an optimal shared energy storage siting and sizing solution that meets the requirements of the power grid is obtained. Additionally, the paper discusses the impact on the accommodation capacity of renewable energy and proposes countermeasures in system economic dispatch. However, there are still limitations in uncertainty estimation, energy storage planning, and investment cost calculations in this paper. Furthermore, further enhancement is needed in terms of quantification theories supporting the economic evaluation of shared energy storage siting and sizing. Overall, this research aims to provide an optimization approach for the shared energy storage siting and sizing problem, incorporating scenario generation techniques and grid constraints, to promote stable operation and economic development of power systems with high penetration of renewable energy.

关键词： Renewable energy sources Uncertainty Costs Optimization models Robustness Planning Scenario generation

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Chemodiversity of Organic Nitrogen Emissions from Light-Duty Gasoline Vehicles is Governed by Engine Displacements and Driving Speed

SSRN

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SSRN 2023年

作者： Xu, Yisheng Han, Huixia Du, Hongxuan Chen, Shuang Ren, Lihong Chen, Yu Cai, Yeguang Wang, Kexin Yang, Xinping Fu, Mingliang Ding, Yan Fu, Pingqing State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China Chinese Research Academy of Environmental Sciences Environmental Technology and Engineering Co. Ltd China Academy of Environmental Sciences Beijing100012 China State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation Chinese Research Academy of Environmental Sciences Beijing100012 China Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin300072 China

Organic nitrogen emissions from light-duty gasoline vehicles (LDGVs) is believed to play a pivotal role in atmospheric particulate matter (PM) in urban environments. Here, the characterization of organic nitrogen emitted by LDGVs with varying engine displacements at different speed phases was analyzed using a Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) at molecular level. For the LDGV with small engine displacements, the CHON compounds exhibit higher abundance, molecular weight, oxygen content and aromaticity in the extra-high-speed phase. Conversely, for the LDGV with big engine displacements, more CHON compounds with elevated abundance, molecular weight, oxygen content and aromaticity were observed in the low-speed phase. Our study assumed that the formation of CHON compounds emitted from LDGVs is mainly the oxidation reaction during fuel combustion, so the potential precursor-product pairs related to oxidation process were used to study the degree of combustion reaction. The results show that the highest proportion of oxidation occurs during extra-high-speed phase for LDGV with small engine displacements, and during low-speed phase for LDGV with big engine displacements. These results offer a novel perspective for comprehending the mechanism behind vehicle emissions formation and contribute valuable insights for crafting effective air pollution regulations. © 2023, The Authors. All rights reserved.

关键词： Molecular weight

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Non-line-of-sight imaging under white-light illumination using physics-enhanced deep learning

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Applied Optics 2025年第16期64卷 4607-4614页

作者： Zhenfeng Fu Fei Wang Shanshan Zheng Guohai Situ Wangzhijiang Innovation Center for Laser Aerospace Laser Technology and System Department Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai 201800 China Key Laboratory of Space Laser Communication and Detection Technology Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai 201800 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing 100049 China Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou 310024 China Shanghai Institute of Laser Technology Shanghai 200233 China ghsitu@***

Non-line-of-sight (NLOS) imaging is an emerging computational imaging technique that allows acquiring information about hidden objects from an indirect view. It has garnered significant attention due to its great potential in medical imaging, security, and autonomous driving, among many others. However, most existing NLOS techniques require active coherent illumination and expensive equipment, which prevents their practical application. Here, we present an NLOS imaging method based on speckle correlation under white-light illumination using an ordinary camera. We exploit a physics-enhanced deep learning technique incorporating a speckle correlation-based model and a denoising prior into a deep neural network to reconstruct the object image. Experimental results demonstrate that our method achieves excellent performance in terms of recovered image quality and scalability. This work further paves the way for the practical application of NLOS imaging in scenarios where coherent illumination and expensive equipment are difficult to deploy.

关键词： Biomedical imaging Computational imaging Deep learning Imaging systems Imaging techniques Scattering media

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Neuromodulated Meta-Learning

arXiv

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arXiv 2024年

作者： Wang, Jingyao Guo, Huijie Qiang, Wenwen Li, Jiangmeng Zheng, Changwen Xiong, Hui Hua, Gang University of Chinese Academy of Sciences Beijing China National Key Laboratory of Space Integrated Information System Institute of Software Chinese Academy of Sciences Beijing China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing China Thrust of Artificial Intelligence Hong Kong University of Science and Technology Guangzhou China Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong Wormpex AI Research LLC BellevueWA98004 United States

Humans excel at adapting perceptions and actions to diverse environments, enabling efficient interaction with the external world. This adaptive capability relies on the biological nervous system (BNS), which activates different brain regions for distinct tasks. Meta-learning similarly trains machines to handle multiple tasks but relies on a fixed network structure, not as flexible as BNS. To investigate the role of flexible network structure (FNS) in meta-learning, we conduct extensive empirical and theoretical analyses, finding that model performance is tied to structure, with no universally optimal pattern across tasks. This reveals the crucial role of FNS in meta-learning, ensuring meta-learning to generate the optimal structure for each task, thereby maximizing the performance and learning efficiency of meta-learning. Motivated by this insight, we propose to define, measure, and model FNS in meta-learning. First, we define that an effective FNS should possess frugality, plasticity, and sensitivity. Then, to quantify FNS in practice, we present three measurements for these properties, collectively forming the structure constraint with theoretical supports. Building on this, we finally propose Neuromodulated Meta-Learning (NeuronML) to model FNS in meta-learning. It utilizes bi-level optimization to update both weights and structure with the structure constraint. Extensive theoretical and empirical evaluations demonstrate the effectiveness of NeuronML on various tasks. Code is publicly available at https://***/WangJingyao07/NeuronML. Copyright © 2024, The Authors. All rights reserved.

关键词： Contrastive Learning

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A high order unfitted finite element method for time-harmonic Maxwell interface problems

arXiv

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arXiv 2023年

作者： Chen, Zhiming Li, Ke Lyu, Maohui Xiang, Xueshuang LSEC Institute of Computational Mathematics Academy of Mathematics and System Sciences School of Mathematical Science University of Chinese Academy of Sciences Chinese Academy of Sciences Beijing100190 China Department of Basic Information Engineering University Zhengzhou450001 China School of Sciences Beijing University of Posts and Telecommunications Beijing100876 China Qian Xuesen Laboratory of Space Technology China Academy of Space Technology Beijing100194 China

We propose a high order unfitted finite element method for solving time-harmonic Maxwell interface problems. The unfitted finite element method is based on a mixed formulation in the discontinuous Galerkin framework on a Cartesian mesh with possible hanging nodes. The H2 regularity of the solution to Maxwell interface problems with C2 interfaces in each subdomain is proved. Practical interface-resolving mesh conditions are introduced under which the hp inverse estimates on three-dimensional curved domains are proved. Stability and hp a priori error estimate of the unfitted finite element method are proved. Numerical results are included to illustrate the performance of the method. Copyright © 2023, The Authors. All rights reserved.

关键词： Mesh generation

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Investigation of Heat Transfer and Flow Boiling Characteristics of a New Symmetric Cosine Mini-Channel Heat Exchanger with High Heat Flow Density

SSRN

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SSRN 2023年

作者： Xu, Zhanying Liu, Huan-Ling Xie, Gongnan Shaanxi Key Laboratory of Space Solar Power Station System School of Electromechanical Engineering Xidian University Xi’an710071 China Key Laboratory of Electronic Equipment Structure Design Ministry of Education School of Electromechanical Engineering Xidian University Xi’an710071 China School of Marine Science and Technology Northwestern Polytechnical University Xi’an710072 China

A novel symmetric cosωx mini-channel heat exchanger (SCMC) with a combined bionic leaf vein diverter with ethanol as coolant is designed to meet the heat dissipation requirements for high heat flux chips. The mini-channel is firstly passed through a bionic leaf vein diverter to ensure the uniformity of the liquid distribution in the different mini-channels. Firstly, the homogeneity of the liquid distribution in different mini-channels is ensured by a bionic leaf vein divertor. Then, in order to obtain the flow characteristics and bubble features in the channel under conjugate conditions, a systematic three-dimensional numerical study is carried out by coupling the phase transition model with the volume of fluid (VOF) model. It is found that the symmetric distribution structure of the SCMC flow channel not only provides nucleation points for bubble generation, but also provides rupture points for large bubbles that can block the flow channel due to bubble aggregation, which reduces the instability of phase transition heat. Compared with the smooth flow channel structure of ω=1 and ω=1.5, the steep structure of ω=2 not only helps the mixing of coolant, but also increases the probability of bubbles hitting the sharp structure, which is more helpful for the rupture of large bubbles. In addition, the effects of waviness (ω ~ 0-2) and inlet velocity (Re ~ 234.07-1170.37) on the heat transfer performance under non-constant flow boiling conditions are investigated. The results show that the heat transfer capacity of SCMC increases firstly and then decreases with the increase of ω and subsequently increases again with the constant Re. The performance factor shows a decrease and then increases, which gets the maximum value at ω=2 and still shows an increasing trend. In the case of constant ω, the heat transfer capacity of SCMC is enhanced with the increase of Re, but the enhancement trend gradually slows down, and the performance factor shows a trend of increasing at first an

关键词： Heat exchangers

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CYGNSS Ocean Surface Heat Flux Product Development, Updates, and Applications with Extratropical Cyclones and Atmospheric Rivers

CYGNSS Ocean Surface Heat Flux Product Development, Updates,...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Juan A. Crespo Shakeel Asharaf Derek J. Posselt Catherine M. Naud Alison Cobb Joint Institute for Regional Earth System Science and Engineering University of California Los Angeles Jet Propulsion Laboratory California Institute of Technology Columbia University and NASA Goddard Institute for Space Studies Center for Western Weather and Water Extremes Scripps Institution of Oceanography University of California San Diego

Latent and sensible ocean surface heat fluxes (LHF and SHF, respectively) can significantly impact the genesis and evolution of climate and weather systems. As heat fluxes increase within the boundary layer, static stability decreases, leading to a lower lifted condensation level, which could lead to dry and moist convection development in various weather systems [1] - [2] . The energy transported through LHF and SHF between the ocean surface and boundary layer can influence weather systems at the microscale, mesoscale, and synoptic scale, including, but not limited to, tropical and extratropical cyclones, convection, and large-scale waves such as the Madden-Julian Oscillation [3] - [6] .

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Spatiotemporal continuous estimates of daily 1-km PM2.5 from 2000 to present under the Tracking Air Pollution in China (TAP) framework

arXiv

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arXiv 2022年

作者： Xiao, Qingyang Geng, Guannan Liu, Shigan Liu, Jiajun Meng, Xia Zhang, Qiang State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China Ministry of Education Key Laboratory for Earth System Modelling Department of Earth System Science Tsinghua University Beijing100084 China School of Public Health Key Laboratory of Public Health Safety The Ministry of Education Key Laboratory of Health Technology Assessment The Ministry of Health Fudan University Shanghai200032 China

High spatial resolution PM2.5 data covering a long time period are urgently needed to support population exposure assessment and refined air quality management. In this study, we provided complete-coverage PM2.5 predictions with a 1-km spatial resolution from 2000 to the present under the Tracking Air Pollution in China (TAP, http://***/) framework. To support high spatial resolution modelling, we collected PM2.5 measurements from both national and local monitoring stations. To correctly reflect the temporal variations in land cover characteristics that affected the local variations in PM2.5, we constructed continuous annual geoinformation datasets, including the road maps and ensemble gridded population maps, in China from 2000 to 2021. We also examined various model structures and predictor combinations to balance the computational cost and model performance. The final model fused 10-km TAP PM2.5 predictions from our previous work, 1-km satellite aerosol optical depth retrievals and land use parameters with a random forest model. Our annual model had an out-of-bag R2 ranging between 0.80 and 0.84, and our hindcast model had a by-year cross-validation R2 of 0.76. This open-access 1-km resolution PM2.5 data product with complete coverage successfully revealed the local-scale spatial variations in PM2.5 and could benefit environmental studies and policy-making. © 2022, CC BY.

关键词： Land use

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Long-term enhancing of Jupiter's electrostatic waves as diagnostic of Io's mass loading activity

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science Bulletin 2025年

作者： Long, Minyi Ni, Binbin Roussos, Elias Summers, Danny Blanc, Michel Xiao, Zhiyong Cao, Xing Yao, Zhonghua Zhang, Binzheng Ye, Shengyi Deng, Qingyun Feng, Enhao Lu, Peng Wang, Shaobei School of Earth and Space Science and Technology Wuhan University Wuhan430072 China Max Planck Institute for Solar System Research Göttingen37077 Germany CAS Center for Excellence in Comparative Planetology Hefei230026 China Department of Mathematics and Statistics Memorial University of Newfoundland St. John'sNLA1C 5S7 Canada Toulouse31062 France Toulouse13288 France Planetary Environmental and Astrobiological Research Laboratory School of Atmospheric Sciences Sun Yat-sen University Zhuhai519082 China Department of Earth Sciences The University of Hong Kong Hong Kong999077 China Department of Earth and Space Science Southern University of Science and Technology Shenzhen518055 China

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Enhancing through-plane thermal conductivity of fluoropolymer composite by developing in situ nano-urethane linkage at graphene–graphene interface

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Nano Research 2020年第10期13卷 2741-2748页

作者： Muhammad Maqbool Haichang Guo Akbar Bashir Ali Usman Adeel YAbid Guansong He Yanjuan Ren Zeeshan Ali Shulin Bai Department of Materials Science and Engineering Key Laboratory of High Eenergy Density Physics Simulation(HEDPS)Center of Applied Physics and Technology(CAPT)/Laboratory of Turbulence and Complex System(LTCS)Key Laboratory of Polymer Chemistry and Physics of Ministry of EducationCollege of EngineeringPeking UniversityBejing 100871China Institute of Chemical Materials Chinese Academy of Engineering Physics(CA EP)Mianyang 621900China School of Chemical and Materials Engineering(SCME) National University of Sciences and Technology(NUST)Islamabad 4000Pakistan

Attributed to the intense development and complexity in electronic devices,energy dissipation is becoming more essential *** carbonaceous materials particularly graphene(Gr)-based thermal interface materials(TIMs)are exceptional in heat ***,because of the anisotropic behavior of Gr in composites,the TIMs having outstanding through-plane thermal conductivity(┴TC)are needed to fulfill the upcoming innovation in numerous *** order to achieve this,herein,nano-urethane linkage-based modified Gr and carbon fibers architecture termed as nanourethane linkage(NUL)-Gr/carbon fibers(CFs)is ***,toluene diisocyanate is utilized to develop a novel but simple NUL to shape a new interface between graphene ***,the prepared composite of NUL-Gr/CFs with polyvinylidene fluoride matrix shows outstanding performance in heat *** to the unique structure of NUL-Gr/CFs,an unprecedented value of┴TC(~7.96 W·m^–1·K^–1)is achieved at a low filler fraction of 13.8 wt.%which translates into an improvement of^3,980%of pristine *** achieved outcomes elucidate the significance of the covalent interaction between graphene sheets as well as strong bonding among graphene and matrix in the composites and manifest the potential of proposed NUL-Gr/CFs architecture for practical applications.

关键词： graphene thermal interface materials polymer composites

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