Published November 1, 2019 | Version v1
Journal article

Research and Application of Fast and Elitist Non-Dominated Sorting Generic Algorithm in Coal Blending Optimization

  • 1. College of Information Science and Engineering, Northeastern University, Shenyang (China)

Description

In view of coal blending optimization in thermal power plants, a multi-objective coal blending optimization model is proposed. The model uses coal quality indexes as constraint condition to construct three objective functions of economy, environmental protection and safety. The fast and elitist non-dominated sorting generic algorithm is used as the algorithm of solving the model. Combined with actual coal blending problem in domestic thermal power plants, the Pareto solution set is obtained. Results of example show that the algorithm has a good optimization effect and provides effective technical support for actual coal blending technology. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1755-1315/384/1/012176

Additional details

Publishing Information

Journal Title
IOP Conference Series: Earth and Environmental Science (Online)
Journal Volume
384
Journal Issue
1
Journal Page Range
[7 p.]
ISSN
1755-1315

Conference

Title
International Conference on Oil and Gas Engineering and Geological Sciences
Dates
28-29 Sep 2019
Place
Dalian (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53075926
Subject category
S01: COAL, LIGNITE, AND PEAT; S20: FOSSIL-FUELED POWER PLANTS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; COAL; ENVIRONMENTAL PROTECTION; MIXING; OPTIMIZATION; SORTING; THERMAL POWER PLANTS
Descriptors DEC
CARBONACEOUS MATERIALS; ENERGY SOURCES; FOSSIL FUELS; FUELS; MATERIALS; MATHEMATICAL LOGIC; POWER PLANTS