Multi-Objective Optimization of Activation Time and Discharge Time of Thermal Battery Using a Genetic Algorithm Approach

Qing Li, Yu-Qiang Shao, Huan-Ling Liu and Xiao-Dong Shao
Additional contact information
Qing Li: School of Electromechanical Engineering, Xidian University, Xi’an 710071, China
Yu-Qiang Shao: School of Electromechanical Engineering, Xidian University, Xi’an 710071, China
Huan-Ling Liu: School of Electromechanical Engineering, Xidian University, Xi’an 710071, China
Xiao-Dong Shao: School of Electromechanical Engineering, Xidian University, Xi’an 710071, China

Energies, 2020, vol. 13, issue 24, 1-17

Abstract: Activation time and discharge time are important criteria for the performance of thermal batteries. In this work a heat transfer analysis is carried out on the working process of thermal batteries. The effects of the thicknesses of heat pellets which are divided into three groups and that of the thickness of insulation layers on activation time and discharge time of thermal batteries are numerically studied using Fluent 15.0 when the sum of the thickness of heating plates and insulation layers remain unchanged. According to the numerical results, the optimal geometric parameters are obtained by using multi-objective genetic algorithm. The results show that the activation time is mainly determined by the thickness of the bottom heat pellet, while the discharge time is determined by the thickness of the heat pellets and that of the insulation layers. The discharge time of the optimized thermal battery is increased by 4.08%, and the activation time is increased by 1.23%.

Keywords: thermal batteries; activation time; discharge time; multi-objective genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/24/6477/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/24/6477/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:24:p:6477-:d:458541

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().