Wet dust removal is one of the main technical measures in coal dust control,and coal dust wetting is the key factor to determine the effect of wet dust *** order to explore the micro-wetting process of coal dust,this ...
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Wet dust removal is one of the main technical measures in coal dust control,and coal dust wetting is the key factor to determine the effect of wet dust *** order to explore the micro-wetting process of coal dust,this paper uses molecular dynamics simulation to study the micro-wetting process of coal dust in different simulation *** molecular dynamics simulation was carried out under different ensemble,thermodynamic states as well as relaxation pretreatment methods,then the H_(2)O molecular layer and coal dust molecular layer in each simulation were quantitatively analyzed by relative *** research results show that a method for establishing molecular model of lignite is proposed and the 2D periodic surface structure is more *** surface system of coal-H_(2)O molecule is established by NVT aeration method,where the simulation result is close to the actual coal dust wetting *** simulation effect of medium and large coal dust-H_(2)O molecular system is better than that of small coal dust-H_(2)O molecular *** study provides a new solution for changing the empirical method of molecular dynamics simulation of coal system wetting and oversimplification of coal system.
With the rapid development of virtual power plants, how to eliminate the negative impact of uncertainty on both sides of source and load on virtual power plants has become an urgent problem to be solved. In this paper...
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ISBN:
(数字)9798350390315
ISBN:
(纸本)9798350390322
With the rapid development of virtual power plants, how to eliminate the negative impact of uncertainty on both sides of source and load on virtual power plants has become an urgent problem to be solved. In this paper, a virtual power plant energy storage configuration method based on two-stage robust optimization is proposed to deal with the uncertainty of photovoltaic output and load demand. By constructing an uncertain set, the scheduling scheme of the system in the ‘worst’ scenario is optimized. The effectiveness and superiority of the method under different uncertainty conditions are verified by simulation analysis, which provides a reference for the configuration of energy storage capacity in the construction of virtual power plant.
Robust and performant controllers are essential for industrial applications. However, deriving controller parameters for complex and nonlinear systems is challenging and time-consuming. To facilitate automatic control...
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The main trends in the development of cloud computing architectures are considered. It is shown that the relevance of the scientific problem of ensuring interoperability in heterogeneous cloud computing is increasing....
The main trends in the development of cloud computing architectures are considered. It is shown that the relevance of the scientific problem of ensuring interoperability in heterogeneous cloud computing is increasing. One of the ways to solve the problem of ensuring interoperability is standardization. The international and traditional scientific groundwork for ensuring interoperability is given. It is proposed, taking into account international works and traditional approach (organizational, semantic and technical levels), to search for and localize interoperability barriers, to calculate the interoperability indicator. The main algorithms for searching and localizing interoperability barriers for subsequent implementation in software are presented. The software layout allows you to calculate the interoperability index for three levels - technical, semantic, organizational. As an example of the practical application of the considered approach to managing interoperability, the subject area of e-health is proposed, which uses, among other things, cloud technologies.
We introduce an alternative approach towards optimal proportional integral derivative (PID) control, consisting of model predictive control (MPC) based reference generation. To this end, we have integrated the referen...
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ISBN:
(数字)9798350395440
ISBN:
(纸本)9798350395457
We introduce an alternative approach towards optimal proportional integral derivative (PID) control, consisting of model predictive control (MPC) based reference generation. To this end, we have integrated the reference as part of optimization variables of the resulting problem, where a deliberate sequence of errors is induced to obtain an optimal PID control action. In addition, the desired behavior of the PID controller is achieved without the need for internal modification of the PID gains. To better highlight the ability of coping with poor PID tuning, several test cases consisting of progressively degraded PID gains are presented. Validation of the proposed strategy is displayed by comprehensive simulations using two different plants.
Dear Editor,Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),the causative agent of the COVID-19 pandemic,has posed severe threats to global public health,highlighting an urgent need to understand its patho...
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Dear Editor,Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),the causative agent of the COVID-19 pandemic,has posed severe threats to global public health,highlighting an urgent need to understand its pathogenesis and to develop antiviral *** DNA and RNA viruses can modulate cell cycle progression to maximize their replication.1 However,the effects of SARS-CoV-2 on cell cycle progression remains largely unknown.
Aiming at the problem that some detection networks have high accuracy but poor real-time performance and are not easy to deploy on embedded devices when used to intelligent vehicles,the method in this paper is *** it ...
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Aiming at the problem that some detection networks have high accuracy but poor real-time performance and are not easy to deploy on embedded devices when used to intelligent vehicles,the method in this paper is *** it solves the problem of global target tracking respectively and trajectory management in multi-objective ***'s an improved method for object detection and tracking based on the data fusion of lidar and *** this method,first,Yolov3 algorithm,which is accelerated by KCF algorithm,is used to recognize the object in the image *** cluster the point ***,align sensor data in time and ***,the object information of the two sensors is supplemented by the Hungarian algorithm *** then,the multi-frame matching is carried out through the key point matching count,and the multi-frame information is used for the object ***,the continuous motion trajectory of each object in the surrounding environment can be *** verification shows that the position detection error of this method is less than 5%,and the total processing time of a single frame is 154 *** with other methods,this method can significantly improve the processing speed,which is convenient to enhance the real-time data processing as a step of the perception module.
Dear Editor,The global pandemic of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)Omicron variant has resulted in its continuous evolution and the emergence of numerous subvariants of Omicron(https://***/)...
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Dear Editor,The global pandemic of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)Omicron variant has resulted in its continuous evolution and the emergence of numerous subvariants of Omicron(https://***/).Currently,possibly owing to the increased evasion of neutralizing antibodies elicited by previous infection and vaccination and the higher transmissibility,the BA.5 variant has replaced BA.2 variant and dominated the pandemic.
Traction parameters, that characterize the ground-wheel contact dynamics, are the central factor in the energy efficiency of vehicles. To optimize fuel consumption, reduce wear of tires, increase productivity etc., kn...
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The conversion of carbohydrates into lactic acid has attracted increasing attention owing to the broad applications of lactic acid. However, the current methods of thermochemical conversion commonly suffer from limite...
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