检索结果-南通市图书馆

Applications of thermostatically controlled loads for demand response with the proliferation of variable renewable energy

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Frontiers in Energy 2022年第1期16卷 64-73页

作者： meng SONG wei SUN Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment Southeast UniversityNanjing 210096China Department of Electrical and Computer Engineering University of Central FloridaOrlandoFL 32816USA

More flexibility is desirable with the proliferation of variable renewable resources for balancing supply and demand in power *** controlled loads(TCLs)attract tremendous attentions because of their specific thermal inertia capability in demand response(DR)*** effectively manage numerous and distributed TCLs,intermediate coordinators,e.g.,aggregators,as a bridge between end users and dispatch operators are required to model and control TCLs for serving the ***,intermediate coordinators get the access to fundamental models and response modes of TCLs,make control strategies,and distribute control signals to TCLs according the requirements of dispatch *** the other hand,intermediate coordinators also provide dispatch models that characterize the external characteristics of TCLs to dispatch operators for scheduling different *** this paper,the bottom-up key technologies of TCLs in DR programs based on the current research have been reviewed and compared,including fundamental models,response modes,control strategies,dispatch models and dispatch strategies of TCLs,as well as challenges and opportunities in future work.

关键词： thermostatically controlled load demand response renewable energy power system operation

Comparative Experimental and Numerical Study of Wave Loads on A Monopile Structure Using Different Turbulence Models

在线全文

学校读者我要写书评

暂无评论

China Ocean Engineering 2021年第4期35卷 554-565页

作者： ZENG Xin-meng SHI wei Constantine MICHAILIDES wang Kai LI Xin DeepWater Engineering Research Centre Dalian University of TechnologyDalian 116024China State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalian 116024China Civil Engineering and Geomatics Cyprus University of TechnologyLimassol 2026Cyprus School of Marine Engineering and Technology Sun Yat-Sen UniversityZhuhai 51900China

This study numerically and experimentally investigates the effects of wave loads on a monopile-type offshore wind turbine placed on a 1:25 slope at different water depths as well as the effect of choosing different turbulence models on the efficiency of the numerical *** numerical model adopts a two-phase flow by solving Unsteady Reynolds-Averaged Navier−Stokes(URANS)equations using the Volume Of Fluid(VOF)method and three differentk-􀀀ωturbulence *** environmental conditions from the East China Sea are *** wave run-up and the wave loads applied on the monopile are investigated and compared with relevant experimental data as well as with mathematical predictions based on relevant *** numerical model is well validated against the experimental data at model *** use of different turbulence models results in different predictions on the wave height but less differences on the wave *** baseline k-􀀀ωturbulence model and Shear-Stress Transport(SST)k-􀀀ωturbulence model exhibit better performance on the prediction of hydrodynamic load,at a model-scale water depth of 0.42 m,while the laminar model provides better results for large water *** SST turbulence model performs better in predicting wave run-up for water depth 0.42 m,while the laminar model and standard k-􀀀ωmodel perform better at water depth 0.52 m and 0.62 m,respectively.

关键词： hydrodynamic loads turbulence models Morison equation wave run-up numerical wave tank monopile structure

Sustainable Seawater Desalination and Energy Management:Mechanisms,Strategies,and the Way Forward

在线全文

学校读者我要写书评

暂无评论

Research 2024年第3期2023卷 595-611页

作者： meng wang Yen wei Ruoxin Li Xin wang Chengyu wang Nanqi Ren Shih-Hsin Ho State Key Laboratory of Urban Water Resource and Environment School of EnvironmentHarbin Institute of TechnologyHarbin 150001China Department of Chemistry Tsinghua UniversityBeijing 100084China Key Laboratory of Bio-based Material Science&Technology(Northeast Forestry University) Ministry of EducationHarbin 150040China.

Solar-driven desalination systems have been recognized as an effective technology to address the water ***,evaporators prepared based on advanced manufacturing technologies have emerged as a promising tool in enhancing ocean energy *** this review,we discussed the thermal conversion,energy flow,salt deposition mechanisms,and design strategies for solar-driven desalination systems,and explored how to improve the desalination performance and energy use efficiency of the systems through advanced manufacturing *** future perspectives,we determined the feasibility of coupling solar-driven solar desalination systems with multi-stage energy utilization systems and emerging artificial intelligence technologies,for which conclusions are given and new directions for future desalination system development are ***,exciting opportunities and challenges in the face of basic research and practical implementation are discussed,providing promising solutions and blueprints for green and novel desalination technologies while achieving sustainable development.

关键词： Sustainable Solar directions

Dynamic Event-Triggered Control of Continuous-Time Systems With Random Impulses

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2023年第12期10卷 2292-2299页

作者： meng Yao Guoliang wei the College of Science University of Shanghai for Science and TechnologyShanghai 200093China the Business School University of Shanghai for Science and TechnologyShanghai 200093China

In this paper,the networked control problem under event-triggered schemes is considered for a class of continuoustime linear systems with random *** order to save communication costs and lighten communication burden,a dynamic event-triggered scheme whose threshold parameter is dynamically adjusted by a given evolutionary rule,is employed to manage the transmission of data ***,the evolution of the threshold parameter only depends on the sampled measurement output,and hence eliminates the influence of impulsive signals on the event-triggered ***,with the help of a stochastic analysis method and Lyapunov theory,the existence conditions of desired controller gains are received to guarantee the corresponding input-to-state stability of the addressed ***,according to the semi-definite programming property,the desired controller gains are calculated by resorting to the solution of three linear matrix *** the end,the feasibility and validity of the developed control strategy are verified by a simulation example.

关键词： mechanism. desired hence

System engineering for water pollution control at the watershed level in China

在线全文

学校读者我要写书评

暂无评论

Frontiers of Environmental Science & Engineering 2009年第4期3卷 443-452页

作者： wei meng Chinese Research Academy of Environmental Sciences Beijing 100012China

The present water pollution situation at watershed level in China has been systematically *** causes of water pollution are attributed to the extensive economic developmental pattern,poor wastewater treatment,and a lack of nonpoint pollution *** problems of water pollution control at watershed level include a lack of thought and approach,developmental delay in the environmental standard system,an inadequate monitoring ability,and an inefficient implementation of laws and *** 2006 to 2020,water pollution control and governance will be a national key specific project of science and technology in *** strategies of this project include establishing a water pollution control system at watershed level,orienting a healthy aquatic ecosystem,conducting risk management,and using comprehensive *** goal is to establish and complete a technological system of pollution control and management in three five-year *** main tasks are to develop common technologies,management systems,and mechanisms for lake eutrophication control,river pollution control,urban water environmental pollution control,potable water safety,and water environmental *** bottlenecks of water pollution control and management in China could be systematically removed,and the demonstration of the system engineering approach will be conducted at selected key watersheds.

关键词： water pollution control watershed system engineering sustainability integrated watershed management key specific project of science and technology

Reservoir operation schemes for water pollution accidents in Yangtze River

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Water Science and Engineering 2012年第1期5卷 59-66页

作者： Xiao-kang XIN wei YIN meng wang Changjiang Water Resources Protection Institute Changjiang Water Resources CommissionWuhan 430051P.R.China

After the Three Gorges Reservoir starts running, it can not only take into consideration the interest of departments such as flood control, power generation, water supply, and shipping, but also reduce or eliminate the adverse effects of pollutants by discharge regulation. The evolution of pollutant plumes under different operation schemes of the Three Gorges Reservoir and three kinds of pollutant discharge types were calculated with the MIKE 21 AD software. The feasibility and effectiveness of the reservoir emergency operation when pollution accidents occur were investigated. The results indicate that the emergency operation produces significant effects on the instantaneous discharge type with lesser effects on the constant discharge type, the impact time is shortened, and the concentration of pollutant is reduced. Meanwhile, the results show that the larger the discharge is and the shorter the operation duration is, the more favorable the result is.

关键词： water pollution accident emergency operation water environment model, Three Gorges Reservoir

Machine learning-based analyses for total ionizing dose effects in bipolar junction transistors

在线全文

学校读者我要写书评

暂无评论

Nuclear Science and Techniques 2022年第10期33卷 106-116页

作者： Bai-Chuan wang meng-Tong Qiu wei Chen Chen-Hui wang Chuan-Xiang Tang Department of Engineering Physics Tsinghua UniversityBeijing 100084China Key Laboratory of Particle&Radiation Imaging(Tsinghua University) Ministry of EducationBeijing 100084China State Key Laboratory of Intense Pulsed Radiation Simulation and Effect Xi’an 710024China State Key Laboratory of Nuclear Physics and Technology Peking UniversityBeijing 100871China

Machine learning methods have proven to be powerful in various research *** this paper,we show that research on radiation effects could benefit from such methods and present a machine learning-based scientific discovery *** total ionizing dose(TID)effects usually cause gain degradation of bipolar junction transistors(BJTs),leading to functional failures of bipolar integrated ***,many experiments of TID effects on BJTs have been conducted at different laboratories worldwide,producing a large amount of experimental data which provides a wealth of ***,it is difficult to utilize these data *** this study,we proposed a new artificial neural network(ANN)approach to analyze the experimental data of TID effects on BJTs An ANN model was built and trained using data collected from different *** results indicate that the proposed ANN model has advantages in capturing nonlinear correlations and predicting the *** trained ANN model suggests that the TID hardness of a BJT tends to increase with base current I.A possible cause for this finding was analyzed and confirmed through irradiation experiments.

关键词： Total ionizing dose effects Bipolar junction transistor Artificial neural network Machine learning Radiation effects

Purification of scandium from concentrate generated from titanium pigments production waste

在线全文

学校读者我要写书评

暂无评论

Journal of Rare Earths 2021年第2期39卷 194-200页

作者： Jie Zhou Shunyan Ning Jiejie meng Shichang Zhang wei Zhang Siyi wang Yedan Chen Xinpeng wang Yuezhou wei Guangxi Key Laboratory of Processing for Non-ferrous Metals and Featured Materials School of ResourcesEnvironment and MaterialsGuangxi UniversityNanning 530004China School of Nuclear Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China

Nowadays 80%of scandium in China is obtained from titanium pigments production waste through a complex purification *** study mainly focused on the purification of Sc from its concentrate generated from titanium pigments production waste by solvent *** extractants have been tried and 10%D_(2)EHPA-5%TBP-85%sulfonated kerosene exhibited the best extraction performance towards Sc in 7 mol/L H_(2)SO_(4)solution,so it was selected as the oil phase.0.5%of H_(2)O_(2)was added into the concentrated solution which can effectively inhibit the extraction of *** the extraction and back extraction parameters are *** preferred extraction conditions were obtained,i.e.,acidity:7 mol/L H_(2)SO_(4),the phase ratio A/O:10,room temperature,mixed contact time:30 min,Sc concentrate:10 g/L,that the extraction rate of Sc in the above conditions was nearly 100%.NaOH was used for back extraction with the stripping rate 99%on the following conditions:5 mol/L NaOH stripping for 30 min at a phase ratio A/O:1 at 90℃.Finally,H_(2)C_(2)O_(4)was used to further purify the back extraction product and Sc_(2)(C_(2)O_(4))_(3)precipitant fo *** final product Sc_(2)O_(3)with a purity over 99.5%was obtained by calcining Sc_(2)(C_(2)O_(4))_(3)at 1000℃for 2 h.A conceptual process for Sc purification was put forward and *** total recovery yield of Sc in the whole process is 95%.

关键词： Scandium D_(2)EHPA TBP Extraction Purification Titanium pigments production waste

Micro-expression recognition algorithm based on the combination of spatial and temporal domains

在线全文

学校读者我要写书评

暂无评论

High Technology Letters 2021年第3期27卷 303-309页

作者： Wu Jin Xi meng Dai wei wang Lei wang Xinran School of Electronic and Engineering Xi’an University of Posts and TelecommunicationsXi'an 710121P.R.China

Aiming at the problem of unsatisfactory effects of traditional micro-expression recognition algorithms,an efficient micro-expression recognition algorithm is proposed,which uses convolutional neural networks(CNN)to extract spatial features of micro-expressions,and long short-term memory network(LSTM)to extract time domain *** and LSTM are combined as the basis of micro-expression *** many CNN structures,the visual geometry group(VGG)using a small convolution kernel is finally selected as the pre-network through *** to the difficulty of deep learning training and over-fitting,the dropout method and batch normalization method are used to solve the problem in the VGG *** data sets CASME and CASME II are used for test comparison,in order to solve the problem of insufficient data sets,randomly determine the starting frame,and a fixedlength frame sequence is used as the standard,and repeatedly read all sample frames of the entire data set to achieve trayersal and data ***.a hieh recognition rate of 67.48% is achieved.

关键词： micro-expression recognition convolutional neural network(CNN) long short-term memory(LSTM) batch normalization algorithm dropout