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Modeling of Energy Demand in the Greenhouse Using PSO-GA Hybrid Algorithms
Joint Authors
Chen, Jiaoliao
Zhao, Jiangwu
Xu, Fang
Hu, Haigen
Ai, QingLin
Yang, Jiangxin
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-23
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Modeling of energy demand in agricultural greenhouse is very important to maintain optimum inside environment for plant growth and energy consumption decreasing.
This paper deals with the identification parameters for physical model of energy demand in the greenhouse using hybrid particle swarm optimization and genetic algorithms technique (HPSO-GA).
HPSO-GA is developed to estimate the indistinct internal parameters of greenhouse energy model, which is built based on thermal balance.
Experiments were conducted to measure environment and energy parameters in a cooling greenhouse with surface water source heat pump system, which is located in mid-east China.
System identification experiments identify model parameters using HPSO-GA such as inertias and heat transfer constants.
The performance of HPSO-GA on the parameter estimation is better than GA and PSO.
This algorithm can improve the classification accuracy while speeding up the convergence process and can avoid premature convergence.
System identification results prove that HPSO-GA is reliable in solving parameter estimation problems for modeling the energy demand in the greenhouse.
American Psychological Association (APA)
Chen, Jiaoliao& Zhao, Jiangwu& Xu, Fang& Hu, Haigen& Ai, QingLin& Yang, Jiangxin. 2015. Modeling of Energy Demand in the Greenhouse Using PSO-GA Hybrid Algorithms. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1074939
Modern Language Association (MLA)
Chen, Jiaoliao…[et al.]. Modeling of Energy Demand in the Greenhouse Using PSO-GA Hybrid Algorithms. Mathematical Problems in Engineering No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1074939
American Medical Association (AMA)
Chen, Jiaoliao& Zhao, Jiangwu& Xu, Fang& Hu, Haigen& Ai, QingLin& Yang, Jiangxin. Modeling of Energy Demand in the Greenhouse Using PSO-GA Hybrid Algorithms. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1074939
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074939