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
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;
Conference_Titel :
Management Science and Industrial Engineering (MSIE), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8383-9
DOI :
10.1109/MSIE.2011.5707625
