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Dual-radiation-chamber coordinated overall energy efficiency scheduling solution for ethylene cracking process regarding multi-parameter setting and multi-flow allocation

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Chinese Journal of Chemical Engineering 2021年第6期34卷 180-197页

作者： Di Meng cheng shao Li Zhu Institute of Advanced Control Technology Dalian University of TechnologyDalian 116024China

Ethylene cracking process is the core production process in ethylene industry,and is paid more attention to reduce high energy *** of the interdependent relationships between multi-flow allocation and multi-parameter setting in cracking process,it is difficult to find the overall energy efficiency scheduling for the purpose of saving *** traditional scheduling solutions with optimal economic benefit are not applicable for energy efficiency scheduling issue due to the neglecting of recycle and lost energy,as well as critical operation parameters as coil outlet pressure(COP)and dilution *** addition,the scheduling solutions mostly regard each cracking furnace as an elementary unit,regardless of the coordinated operation of internal dual radiation chambers(DRC).Therefore,to improve energy utilization and production operation,a novel energy efficiency scheduling solution for ethylene cracking process is proposed in this ***,steam heat recycle and exhaust heat loss are considered in cracking process based on 6 types of extreme learning machine(ELM)based cracking models incorporating DRC operation and three operation parameters as coil outlet temperature(COT),COP,and dilution ratio according to semi-mechanism *** to provide long-term decision-making basis for energy efficiency scheduling,overall energy efficiency indexes,including overall output per unit net energy input(OONE),output-input ratio per unit net energy input(ORNE),exhaust gas heat loss ratio(EGHL),are designed based on input-output analysis in terms of material and energy ***,a multiobjective evolutionary algorithm based on decomposition(MOEA/D)is employed to solve the formulated multi-objective mixed-integer nonlinear programming(MOMINLP)*** validities of the proposed scheduling solution are illustrated through a case *** scheduling results demonstrate that an optimal balance between multi-flow allocation,multi-parameter setting,and D

关键词： Ethylene cracking process Energy efficiency scheduling Overall energy efficiency indexes Dual radiation chamber Multiple operation parameters Multiple energy flows

Designing fuzzy inference system based on improved gradient descent method

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Journal of Systems Engineering and Electronics 2006年第4期17卷 853-857,863页

作者： Zhang Liquan shao cheng Research Center of Information and Control Dalian Univ. of Technology Dalian 116024 P. R. China

The distribution of sampling data influences completeness of rule base so that extrapolating missing rules is very difficult. Based on data mining, a self-learning method is developed for identifying fuzzy model and extrapolating missing rules, by means of confidence measure and the improved gradient descent method. The proposed approach can not only identify fuzzy model, update its parameters and determine optimal output fuzzy sets simultaneously, but also resolve the uncontrollable problem led by the regions that data do not cover. The simulation results show the effectiveness and accuracy of the proposed approach with the classical truck backer-upper control problem verifying.

关键词： data mining fuzzy system gradient descent method missing rule.

Energy efficiency evaluation based on DEA integrated factor analysis in ethylene production

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Chinese Journal of Chemical Engineering 2017年第6期25卷 793-799页

作者： Shixin Gong cheng shao Li Zhu Institute of Advanced Control Technology Dalian University of Technology Dalian 116024 China

Energy efficiency evaluation plays an important role in energy efficiency improvement of the ethylene production. It is observed from the actual production data that the ethylene production energy efficiency often varies with the complex production working conditions. In the favored methods for energy efficiency evaluation,DEA models may show poor resolution when directly used to evaluate the efficiency values. Therefore, a new energy efficiency evaluation method for ethylene production is proposed based on DEA integrated factor analysis with respect to operation classification. Three key factors, including raw material composition, cracking depth and load rate, are taken into account in determining the production working conditions by means of k-means algorithm. Based on the multi-working conditions mode the energy efficiency evaluation of the ethylene production is made by using DEA model, where the most related energy data are screened by factor ***, the supporting decision of energy efficiency improvement is provided to the operators. The accuracy and effectiveness of the proposed method are illustrated by applying in a practical ethylene production,which gives more effective energy efficiency evaluation in the complicated working conditions of ethylene production with declined dimension of input indicators.

关键词： Energy efficiency evaluation DEA k-means Factor Analysis Production Working condition

Soft-sensing modeling and intelligent optimal control strategy for distillation yield rate of atmospheric distillation oil refining process

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Chinese Journal of Chemical Engineering 2019年第5期27卷 1113-1124页

作者： Zheng Wang cheng shao Li Zhu Institute of Advanced Control Technology Dalian University of Technology

It is a challenge to conserve energy for the large-scale petrochemical enterprises due to complex production process and energy diversification. As critical energy consumption equipment of atmospheric distillation oil refining process, the atmospheric distillation column is paid more attention to save energy. In this paper, the optimal problem of energy utilization efficiency of the atmospheric distillation column is solved by defining a new energy efficiency indicator - the distillation yield rate of unit energy consumption from the perspective of material flow and energy flow, and a soft-sensing model for this new energy efficiency indicator with respect to the multiple working conditions and intelligent optimizing control strategy are suggested for both increasing distillation yield and decreasing energy consumption in oil refining process. It is found that the energy utilization efficiency level of the atmospheric distillation column depends closely on the typical working conditions of the oil refining process, which result by changing the outlet temperature, the overhead temperature, and the bottom liquid level of the atmospheric pressure tower. The fuzzy C-means algorithm is used to classify the typical operation conditions of atmospheric distillation in oil refining process. Furthermore, the LSSVM method optimized with the improved particle swarm optimization is used to model the distillation rate of unit energy consumption. Then online optimization of oil refining process is realized by optimizing the outlet temperature, the overhead temperature with IPSO again. Simulation comparative analyses are made by empirical data to verify the effectiveness of the proposed solution.

关键词： Energy efficiency optimization Crude oil distillation Particle warm optimization Fuzzy C-means algorithm Working condition

Lateral epitaxial grown of two-dimensional halide perovskite heterostructures

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Rare Metals 2020年第8期39卷 863-864页

作者： cheng-Rui shao Wei Hu School of Physics and Electronics Hunan UniversityChangsha 410083China

In last decade,the halide perovskite materials have been widely explored all over the world for their excellent optoelectronic *** perovskite solar cells in particular are reshaping the landscape of ***,the perovskite... 详细信息

关键词： properties. perovskite landscape

Robust stability analysis of switched uncertain systems with multiple time-varying delays and actuator failures

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控制理论与应用（英文版） 2011年第2期9卷 267-272页

作者： Wang, Limin shao, cheng Institute of Advanced Control Technology Dalian University of Technology Dalian Liaoning 116024 China College of Sciences Liaoning Shihua University Fushun Liaoning 113001 China

In this paper,the robust stability issue of switched uncertain multidelay systems resulting from actuator failures is *** on the average dwell time approach,a set of suitable switching signals is designed by using the total activation time ratio between the stable subsystem and the unstable *** is first proven that the resulting closed-loop system is robustly exponentially stable for some allowable upper bound of delays if the nominal system with zero delay is exponentially stable under these switching ***,the maximal upper bound of delays can be obtained from the linear matrix *** last,the effectiveness of the proposed method is demonstrated by a simulation example.

关键词： Robustly exponential stability Actuator failures Average dwell time Switched systems Linear matrix inequalities Multiple time-varying delays

Soft Sensing Modelling Based on Optimal Selection of Secondary Variables and Its Application

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International Journal of Automation and computing 2009年第4期6卷 379-384页

作者： Qi Li cheng shao Institute of Advanced Control Technology Dalian University of Technology Dalian 116024 PRC

The composition of the distillation column is a very important quality value in refineries, unfortunately, few hardware sensors are available on-line to measure the distillation compositions. In this paper, a novel method using sensitivity matrix analysis and kernel ridge regression （KRR） to implement on-line soft sensing of distillation compositions is proposed. In this approach, the sensitivity matrix analysis is presented to select the most suitable secondary variables to be used as the soft sensor＇s input. The KRR is used to build the composition soft sensor. Application to a simulated distillation column demonstrates the effectiveness of the method.

关键词： Distillation column sensitivity matrix analysis ridge regression kernel ridge regression (KRR) soft sensor

Identification and Control of Typical Industrial Process

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Journal of Central South University 2000年第3期12卷 165-169页

作者： PENG Hui WU shao-cheng College of Information Science and Engineering Central South UniversityChangsha 410083China

Many industrial processes such as heating furnaces have over damping dynamic characteristics. Based on an innovative impulse response model, a method of identification and control for the over damping plant is introduced in the paper. The number of parameters of the model is much less than conventional impulse response model. The model based on tuning procedure of numerical optimum PID controller parameters is presented. For an actual instance, a large scale airflow circulatory resistance furnace control system with cascades of time delays is developed. In the system, the optimum PID control is used in the inner loop. A nonlinear PI compensation control is applied in the outer loop. The coordinating control among each output is realized by a fuzzy control strategy. A process surveillance organization monitors running situation of system and tunes controller parameters.

关键词： over damping dynamics time delay cascade plant impulse response sequence identification optimal PID parameters numerical PID controller coordinating control

ACCURACY ANALYSIS FOR PLANAR LINKAGE WITH MULTIPLE CLEAR-ANCES AT TURNING PAIRS

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Chinese Journal of Mechanical Engineering 2008年第2期21卷 36-41页

作者： ZHANG Guojun cheng Qiang shao Xinyu LI Peigen State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan 430074. China

Clearance at turning pair has a strong impact on the kinetic accuracy of linkage, but there is short of a generic model to analyze it so far. Clearance error, input error, and manufacturing tolerance of links are taken into consideration as the random variables synthetically. The kinematics and dynamics accuracy analysis models for planar linkages with multiple clearances at joints are built up as well. At last a typical planar linkage is selected for nurnerical illustration. These models stated in matrix resolve the relativity of output parameter errors of mechanism and therefore are of vital significance for the reliability analysis and synthesis of mechanism with clearances.

关键词： Linkage mechanism Clearance error Accuracy