DocumentCode
2433720
Title
Genetic algorithm study and application in the geothermal heating engineering optimization
Author
Xueling, Qi ; Hao, Mu ; Ershi, Qi
Author_Institution
Sch. of Manage., Tianjin Univ., Tianjin, China
fYear
2011
fDate
8-11 Jan. 2011
Firstpage
1163
Lastpage
1166
Abstract
To maximize the economic benefits of the geothermal heating system, this paper analyzed the characteristics of geothermal heating system and summarized the main variables that affect the economy of the geothermal heating system. This study established a mathematical model of the geothermal heating system by calculating the annual cost of geothermal heating engineering. The mathematical model was then optimized using genetic algorithm. The conclusion drawn from the case study is that higher economic efficiency can be achieved by the application of genetic algorithm in the geothermal heating system optimization.
Keywords
genetic algorithms; geothermal power; heating; mathematical analysis; economic benefits; economic efficiency; genetic algorithm; geothermal heating engineering optimization; mathematical model; Economics; Heat engines; Investments; Mathematical model; Optimization; Water heating; genetic algorithm; geothermal heating engineering; mathematical model; optimization; peaking ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Industrial Engineering (MSIE), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-8383-9
Type
conf
DOI
10.1109/MSIE.2011.5707625
Filename
5707625
Link To Document