Earticle

초록

영어

In recent years, with the rapid development of society and economy, the energy shortage and the environmental pollution become more seriously, the heat industry, represented by the boiler, is of high energy consumption and emissions; it is facing tremendous pressure of energy conservation. Combustion machine is core of heating device; it controls the temperature distribution, thermal efficiency and service life of the boilers. In order to improve the thermal efficiency of combustion systems and save the energy, the burner is faced with the problem of optimizing the performance, solving these problems is of great social and economic significance. In this paper, in order to improve bio-fuel burner efficiency and decrease the pollution, after studying its control characteristics, we proposed the new performance control scheme, which use CO and O2 feedback correction as air volume to adjust bio-fuel combustion burner, based on it, we designed the software and hardware of control system, at the same time, we studied its combustion model and optimization algorithm, came up with the control algorithm of the burner based on LSSVM + GA. Finally, use the proposed control scheme and optimized control algorithm in this paper, to make the model of combustion efficiency and NOx emissions of bio-fuel machine, make the optimization experiments of O2, CO amount based on GA gas, under the condition that NOx emissions is less than 0.52%, the combustion efficiency is less than 0.06%,the algorithm proposed can adjust the wind amount into burner timely and get the best combustion efficiency and nitrogen oxide emissions.

목차

Abstract
 1. Introduction
 2. The Design of Bio-fuel Burner Combustion Control System
  2.1 Control Scheme
  2.2 The Design of Control System
  2.3 Control Software Design
 3. The Combustion Performance Optimization Control of Bio-fuel Burner
  3.1 Optimization Control Algorithm
  3.2 Combustion Process Model Based on LSSVM
  3.3 Optimization of Oxygen and Carbon Monoxide Volume
  3.4 Experimental Results and Analysis
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Tian Zhongfu [ College of Mechanical and Electrical Engineering, Northeast Forestry University , Harbin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605