Published November 1, 2019
| Version v1
Journal article
Research and Application of Fast and Elitist Non-Dominated Sorting Generic Algorithm in Coal Blending Optimization
Creators
- 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/10.1088/1755-1315/384/1/012176Additional details
Identifiers
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