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Application of Improved Real-Valued Genetic Algorithm in Gas Dispatching of Iron and Steel Enterprise

[+] Author Affiliations
Fuyong Su

University of Science and Technology Beijing, Beijing, China

Paper No. POWER2015-49763, pp. V001T06A006; 5 pages
doi:10.1115/POWER2015-49763
From:
  • ASME 2015 Power Conference collocated with the ASME 2015 9th International Conference on Energy Sustainability, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum
  • ASME 2015 Power Conference
  • San Diego, California, USA, June 28–July 2, 2015
  • Conference Sponsors: Power Division
  • ISBN: 978-0-7918-5660-4
  • Copyright © 2015 by ASME

abstract

Byproduct gas is an important kind of secondary energy generated along with iron and steel products in iron and steel enterprise, which plays an important role in the product process. The use of byproduct gas is not carefully considered, the caloric value doesn’t always match, and the amount of gas is not correctly used, and the fact of gas emission still exists, which is a waste of energy source, and will raise the problem of environmental pollution, of course. Based on the situations above, we have studied the current situation of an iron and steel enterprise, and built the objective model for the optimal use of the gas, and set the constraints accordingly. Finally, based on the concept of Ant Colony Algorism, we improved the algorism to solve our model, and achieved the optimal program, which is an evidence for the energy use.

Copyright © 2015 by ASME

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