Introduction of Advanced Control Strategy for Coking Flue Gas Processing

2016 ◽  
Author(s):  
Yaning Li ◽  
Xuelei Wang ◽  
Jie Tan
Keyword(s):  
Control Strategy ◽  
Flue Gas ◽  
Gas Processing ◽  
Advanced Control

Flue gas fine treatment by ejecting technology

2018 ◽  
Vol 233 (12) ◽  
pp. 4311-4318
Author(s):  
Junyou Zhao ◽  
Chongning Liu ◽  
Yafei Dong ◽  
Qingqiang He ◽  
Fawei Wan ◽  
...  
Keyword(s):  
Sulfur Dioxide ◽  
Flue Gas ◽  
Fine Particles ◽  
Dust Particles ◽  
Gas Emissions ◽  
Gas Processing ◽  
Optimal Value ◽  
Simulation Results ◽  
Main Components ◽  
Processing Device

PM2.5 refers to fine particles with a diameter of 2.5 µm or less in the air. With PM2.5 continuously impacting people's lives, researchers are starting to pay more attention on the treatment of flue gas emitted from coal-fired boilers. This paper introduces a treatment device for ejected fine flue gas. The device uses ejectors to effectively remove acid substances and large dust particles contained in flue gas, and uses air dynamic ultrasonic atomizer to eliminate micro dust particles effectively. The overall scheme of the flue gas processing device is designed, the principle and simulation results of the main components of the ejector are studied, and the optimal value of the ejector ratio is determined by experiments. Finally, the efficiency of processing dust and sulfur dioxide in the flue gas is tested during experiments on the industrial worksite. For the gas emissions from domestic small- and medium-sized coal-fired boilers, this device is more efficient and costs less energy.

The Pitch Control Strategy with the Clonal Selection on Quantum Genetic Algorithm

2012 ◽  
Vol 190-191 ◽  
pp. 1195-1197
Author(s):  
Huan Wang ◽  
Da Tong Zhang ◽  
Jian Dong ◽  
Yong Zhan Li
Keyword(s):  
Genetic Algorithm ◽  
Control Strategy ◽  
Clonal Selection ◽  
Speed Ratio ◽  
Quantum Genetic Algorithm ◽  
Pitch Control ◽  
Tip Speed Ratio ◽  
Advanced Control ◽  
The Common ◽  
The Individual

This chapter reviews the objectives and techniques used in the control of wind turbines at the individual turbine level, where controls are applied to the turbine blade pitch and generator. The paper analyses the control strategy of the wind power generation, optimizes the power output energy conversion factor of the optimal tip-speed ratio and the optimal tip-speed ratio using the clonal selection on quantum genetic algorithm. After reviewing basic turbine control objectives, we provide an overview of the common basic linear control approaches and then describe more advanced control architectures and why they may provide significant advantages.

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