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Two-stage Optimal Scheduling of Community Integrated Energy System Considering Operation Sequences of Hydrogen Energy Storage Systems

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Journal of Modern Power Systems and Clean Energy 2025年第1期13卷 276-288页

作者： Wei Kong Kai Sun Jinghong Zhao School of Electrical Engineering Naval University of EngineeringWuhanChina Department of Electrical Engineering State Key Laboratory of Power System Operation and ControlTsinghua UniversityBeijingChina

The hydrogen energy storage system(HESS)integrated with renewable energy power generation exhibits low reliability and flexibility under source-load *** address the above issues,a two-stage optimal scheduling model considering the operation sequences of HESSs is proposed for commercial community integrated energy systems(CIESs)with power to hydrogen and heat(P2HH)*** aims to optimize the energy flow of HESS and improve the flexibility of hydrogen production and the reliability of energy supply for ***,the refined operation model of HESS is established,and its operation model is linearized according to the operation domain of HESS,which simplifies the difficulty in solving the optimization problem under the premise of maintaining high approximate ***,considering the flexible start-stop of alkaline electrolyzer(AEL)and the avoidance of multiple energy conversions,the operation sequences of HESS are ***,a two-stage optimal scheduling model combining day-ahead economic optimization and intra-day rolling optimization is established,and the model is simulated and verified using the source-load prediction data of typical days in each *** simulation results show that the two-stage optimal scheduling reduces the total load offset by about 14%while maintaining similar operating cost to the day-ahead economic optimal ***,by formulating the operation sequences of HESS,the operating cost of CIES is reduced by up to about 4.4%.

关键词： Community integrated energy system(CIES) hydrogen storage operation sequence two-stage optimal scheduling

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Fatigue properties and constitutive model of Jintan salt rock subjected to complex cyclic loading

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International Journal of Mining Science and Technology 2025年第1期35卷 121-133页

作者： Qingchuan He Jianfeng Liu Fei Wu Cunbao Li Jie Chen Renbo Gao Chunfeng Ye Shijie Zhu State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing UniversityChongqing 400044China State Key Laboratory of Hydraulics and Mountain River Engineering Sichuan UniversityChengdu 610065China State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering College of Civil and Transportation EngineeringShenzhen UniversityShenzhen 518060China State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhan 430071China

Salt cavern energy storage technology contributes to energy reserves and renewable energy *** study focuses on salt cavern gas storage in Jintan to assess the long-term stability of its surrounding rock under frequent *** fatigue test results indicate that stress holding significantly reduces fatigue life,with the magnitude of stress level outweighing the duration of holding time in determining peak *** a machine learning approach,the impact of various factors on fatigue life and peak strain was quantified,revealing that higher stress limits and stress holding adversely impact the fatigue index,whereas lower stress limits and rate exhibit a positive effect.A novel fatigue-creep composite damage constitutive model is constructed,which is able to consider stress magnitude,rate,and stress *** model,validated through multi-path tests,accurately captures the elasto-viscous behavior of salt rock during loading,unloading,and stress *** analysis further reveals the time-and stress-dependent behavior of model parameters,clarifying that strain changes stem not only from stress variations but are also influenced by alterations in elasto-viscous *** study provides a new method for the mechanical assessment of salt cavern gas storage surrounding rocks.

关键词： Salt cavern gas storage Cyclic loading Fatigue characteristics Constitutive model

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Review of technologies and their applications for the speciated detection of RO2 radicals

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Journal of Environmental Sciences 2023年第1期123卷 487-499页

作者： Yue Gao Keding Lu Yuanhang Zhang State Key Joint Laboratory of Environmental Simulation and Pollution Control State Environmental Protection Key Laboratory of Atmospheric Ozone Pollution ControlCollege of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China

Peroxy radicals(RO_(2)),which are formed during the oxidation of volatile organic compounds,play an important role in atmospheric oxidation ***,the measurement of RO_(2),especially distinct species of RO_(2)radicals,is important and greatly helps the exploration of atmospheric chemistry *** the speciated detection of RO_(2)radicals remains challenging,various methods have been developed to study them in *** methods can be divided into spectroscopy and mass spectrometry *** spectroscopy methods contain laser-induced fluorescence(LIF),UV-absorption spectroscopy,cavity ring-down spectroscopy(CRDS)and matrix isolation and electron spin resonance(MIESR).The mass spectrometry methods contain chemical ionization atmospheric pressure interface time-of-flight mass spectrometry(CI-APi-TOF),chemical ionization mass spectrometry(CIMS),CI-Orbitrap-MS and the third-generation proton transfer reaction-time-of-flight mass spectrometer(PTR3).This article reviews technologies for the speciated detection of RO_(2)radicals and the applications of these *** addition,a comparison of these techniques and the reaction mechanisms of some key species are ***,possible gaps are proposed that could be filled by future research into speciated RO_(2)radicals.

关键词： Speciated RO_(2)radicals Atmospheric chemistry Reaction mechanisms Mass spectrometry

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Compilation of reaction kinetics parameters determined in the key Development Project for Air Pollution Formation Mechanism and control Technologies in China

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Journal of Environmental Sciences 2023年第1期123卷 327-340页

作者： Yuehui Liu Ming Zhou Keding Lu State Key Joint Laboratory of Environmental Simulation and Pollution Control State Environmental Protection Key Laboratory of Atmospheric Ozone Pollution ControlCollege of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China

A compilation of new advances made in the research?eld of laboratory reaction kinetics in China’s key Development Project for Air Pollution Formation Mechanism and control Technologies was *** advances are grouped into six broad,interrelated categories,including volatile organic compound(VOC)oxidation,secondary organic aerosol(SOA)formation,new particle formation(NPF)and gas-particle partitioning,ozone chemistry,model parameters,and secondary inorganic aerosol(SIA)formation,highlighting the laboratory work done by Chinese *** smog chamber applications,the current knowledge gained from laboratory studies is reviewed,with emphasis on summarizing the oxidation mechanisms of long-chain alkanes,aromatics,alkenes,aldehydes/ketones in the atmosphere,SOA formation from anthropogenic emission sources,and oxidation of aromatics,isoprene,and limonene,as well as SIA ***?ow tube applications,atmospheric oxidation mechanisms of toluene and methacrolein,SOA formation from limonene oxidation by ozone,gas-particle partitioning of peroxides,and sulfuric acid-water(H2SO4-H2O)binary nucleation,methanesulfonic acid-water(MSA-H2O)binary nucleation,and sulfuric acid-ammonia-water(H2SO4-NH3-H2O)ternary nucleation are discussed.

关键词： Smog chamber Flow tube VOC oxidation SOA formation New particle formation Gas-particle partitioning SIA formation

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An Accurate and Interpretable Framework for Trustworthy Process Monitoring

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第5期5卷 2241-2252页

作者： Wang, Hao Wang, Zhiyu Niu, Yunlong Liu, Zhaoran Li, Haozhe Liao, Yilin Huang, Yuxin Liu, Xinggao Zhejiang University State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310027 China

Trustworthy process monitoring seeks to build an accurate and interpretable monitoring framework, which is critical for ensuring the safety of energy conversion plant (ECP) that operates under extreme working conditions, such as high pressure and temperature. Contemporary self-attentive models, however, fall short in this domain for two main reasons. First, they rely on stepwise correlations that fail to involve physically meaningful semantics in ECP logs, resulting in suboptimal accuracy and interpretability. Second, attention matrices are frequently cluttered with spurious correlations that obscure physically meaningful ones, further impeding effective interpretation. To overcome these issues, we propose AttentionMixer, a framework aimed at improving both accuracy and interpretability of the existing methods, and establish a trustworthy ECP monitoring framework. Specifically, to tackle the first issue, we employ a spatial adaptive message passing block to capture variatewise correlations. This block is coupled with a temporal adaptive message passing block through a mixing operator, yielding a multifaceted representation of ECP logs accounting for both the stepwise and variatewise correlations. Concurrently, to tackle the second issue, we employ a sparse message passing regularizer to filter out spurious correlations. We validate the efficacy of AttentionMixer using two real-world datasets from the radiation monitoring network for Chinese nuclear power plants. © 2020 IEEE.

关键词： Accident prevention

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Pyramid Dynamic Bayesian Networks for key Performance Indicator Prediction in Long Time-Delay Industrial Processes

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第2期5卷 661-671页

作者： Zeng, Lingquan Ge, Zhiqiang Zhejiang University State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310027 China

Building dynamic Bayesian networks (DBNs) for time-delay industrial processes has always been tough, since the structure learning of the DBN is a NP-hard problem. In this article, a pyramid DBN (PDBN) framework is proposed to speed up modeling and improve feature learning for industrial processes with large time delays. In the PDBN framework, a sequence of small-sized DBNs are established, each of which is a progressively simpler representation of the previous layer, and the feature information learned by the DBN sequence corresponds to the layers in the pyramid. With information fusion of the feature pyramid and a further feature filtering with hill climbing based on Bayesian information criterion, we can restore the feature information of the time-delay industrial processes. Regression models are built based on the features learned by the PDBN framework for further key performance indicator estimation. Advantages of the method have been effectively validated on two actual industrial cases. With multilevel feature learning and filtering, both modeling speed and prediction accuracy have been greatly improved. The proposed method outperforms other similar works on identifying important features in industrial processes and existing DBN-based soft sensors. © 2023 IEEE.

关键词： Hidden Markov models

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Nanoscale zero-valent iron integrated with bioreactor for recalcitrant antimony-Congo red dyeing wastewater treatment

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Progress in Natural Science:Materials International 2023年第5期33卷 569-574页

作者： Jing Liu Airong Liu Yi Wei Jiahui Fu Wei-xian Zhang State Key Laboratory for Pollution Control and Resource Reuse College of Environmental Science and Engineering Tongji University

Antimony（Sb） and recalcitrant organic dyes often coexist in dyeing wastewater, and the simultaneous removal of Sb and dyes has been a challenge for traditional biological method in the treatment of Sb-dyeing *** zero-valent iron（n ZVI） is particularly suitable for separating heavy metals and enhancing the biodegradability of recalcitrant organic compounds. Herein, n ZVI is integrated with bioreactors（n ZVI-bio system） to achieve enhanced removal of Sb and degradation of Congo red（CR） in wastewater. The n ZVI-bio system achieves a reduction in Sb levels from 2.5 g L-1to 0.064 mg L-1, with a color removal efficiency of up to 98.60 % and a reduction in COD from 167 mg L-1to 55 mg L-1. The excellent performance is mainly attributed to n ZVI pretreatment, which removes Sb and degrades CR into smaller and more biodegradable organic compounds,providing favorable environmental conditions for the subsequent biotreatment system. This suggests that integrated n ZVI-bio system has potential for the treatment of complex wastewater containing heavy metals and recalcitrant organic dyes.

关键词： Nanoscale zero-valent iron Biotreatment Antimony Congo red nZVI-bio system

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Kinematic calibration method with high measurement efficiency and robust identification for hybrid machine tools

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Chinese Journal of Aeronautics 2024年第3期37卷 468-482页

作者： Liping WANG Mengyu LI Guang YU Weitao LI Xiangyu KONG State Key Laboratory of Tribology Department of Mechanical EngineeringTsinghua UniversityBeijing 100084China Beijing Key Laboratory of Precision/Ultra-precision Manufacturing Equipment and Control Beijing 100084China

Geometric error is the main factor affecting the machining accuracy of hybrid machine *** calibration is an effective way to improve the geometric accuracy of hybrid machine *** necessity to measure both position and orientation at each pose,as well as the instability of identification in case of incomplete measurements,severely affects the application of traditional calibration *** this study,a kinematic calibration method with high measurement efficiency and robust identification is proposed to improve the kinematic accuracy of a five-axis hybrid machine ***,the configuration is introduced,and an error model is ***,by investigating the mechanism error characteristics,a measurement scheme that only requires tool centre point position error measurement and one alignment operation is ***,by analysing the effects of unmeasured degrees of freedom(DOFs)on other DOFs,an improved nonlinear least squares method based on virtual measurement values is proposed to achieve stable parameter identification in case of incomplete measurement,without introducing additional ***,the proposed calibration method is verified through simulations and *** proposed method can efficiently accomplish the kinematic calibration of the hybrid machine *** accuracy of the hybrid machine tool is significantly improved after calibration,satisfying actual aerospace machining requirements.

关键词： Hybrid machine tool Calibration Measurement scheme Improved nonlinear least squares method Virtual measurement values

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A general Boolean semantic modelling approach for complex and intelligent industrial systems in the framework of DES

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Journal of Systems engineering and Electronics 2024年第5期35卷 1219-1230页

作者： XU Changyi WANG Yun DUAN Yiman ZHANG Chao Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education School of Control Science and EngineeringDalian University of TechnologyDalian 116024China State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical EngineeringZhejiang UniversityHangzhou 310027China

Discrete event system(DES)models promote system engineering,including system design,verification,and *** advancement in manufacturing technology has endowed us to fabricate complex industrial ***,the adoption of advanced modeling methodologies adept at handling complexity and scalability is ***,industrial systems are no longer quiescent,thus the intelligent operations of the systems should be dynamically specified in the *** this paper,the composition of the subsystem behaviors is studied to generate the complexity and scalability of the global system model,and a Boolean semantic specifying algorithm is proposed for generating dynamic intelligent operations in the *** traditional modeling approaches,the change or addition of specifications always necessitates the complete resubmission of the system model,a resource-consuming and error-prone *** with traditional approaches,our approach has three remarkable advantages:(i)an established Boolean semantic can be fitful for all kinds of systems;(ii)there is no need to resubmit the system model whenever there is a change or addition of the operations;(iii)multiple specifying tasks can be easily achieved by continuously adding a new ***,this general modeling approach has wide potential for future complex and intelligent industrial systems.

关键词： industrial complex system operation specifying Boolean semantic discrete event system(DES)theory intelligent operation

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Mechanistic insights into the synergetic remediation and amendment effects of zeolite/biochar composite on heavy metal-polluted red soil

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Frontiers of Environmental Science & engineering 2024年第9期18卷 105-114页

作者： Jing Li Dazhong Yang Wensong Zou Xuezhen Feng Ranhao Wang Renji Zheng Siyuan Luo Zheting Chu Hong Chen State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution ControlSchool of Environmental Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China

Red soil,the most critical soil resource in tropical/subtropical regions worldwide,faces tremendous threats,including nutrient deficiency,acidification,and heavy metal *** is a great demand for multifunctional eco-materials capable of modifying this ***,we used widely distributed soil and biomass to develop a zeolite/biochar composite for synergistic red soil remediation and *** the composite material,the Pb^(2+) and Cd^(2+) remediation efficiencies reached 92.8%and 92.9%,respectively,in stems under optimal ***,the acidity and nutrient deficiency conditions of red soil significantly *** atomic-scale interaction mechanism during the remediation and amendment process was elucidated with complementary characterization methods,which revealed that in the zeolite/biochar composite material,zeolite contributes to longterm heavy metal remediation ***,biochar is responsible for soil quality amendment and short-term heavy metal ***,for the first time,single-atom heavy metal ions were observed on biochar during the remediation process,indicating the broad distribution of single atoms in the natural environment.

关键词： Red soil Heavy metal pollution Zeolite/biochar composite Soil remediation Soil amendment

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