Multi-objective optimisation of thermal energy storage using phase change materials for solar air systems. (January 2019)
- Record Type:
- Journal Article
- Title:
- Multi-objective optimisation of thermal energy storage using phase change materials for solar air systems. (January 2019)
- Main Title:
- Multi-objective optimisation of thermal energy storage using phase change materials for solar air systems
- Authors:
- Lin, Wenye
Ma, Zhenjun
Ren, Haoshan
Gschwander, Stefan
Wang, Shugang - Abstract:
- Abstract: Thermal energy storage (TES) using phase change materials (PCMs) is being widely considered as one of the alternative solutions for effective use of solar energy. This paper presents a multi-objective optimisation strategy for TES systems using PCMs for solar air systems, in which two performance indicators of average heat transfer effectiveness and effective PCM charging time were used as the conflicting objectives. The influence of the key design variables on the performance of an air-based PCM TES system was first experimentally investigated using Taguchi method, and the results were used to develop two performance models for optimisation. A genetic algorithm was used to search for an optimal Pareto front and a multi-criteria decision-making process was employed to determine the compromise optimal solutions. The results showed that the average heat transfer effectiveness of the PCM TES system can be improved from 44.25 to 59.29% while the effective PCM charging time increased from 4.53 to 6.11 h when using the solutions identified by the proposed strategy with the weighting factors of 0.5/0.5 for both objectives, in comparison to a baseline case. A further comparison showed that the optimal design identified by the proposed strategy outperformed the two designs identified using Taguchi method. Highlights: A thermal energy storage using phase change materials was experimentally studied. Two performance indicators were developed and used for performanceAbstract: Thermal energy storage (TES) using phase change materials (PCMs) is being widely considered as one of the alternative solutions for effective use of solar energy. This paper presents a multi-objective optimisation strategy for TES systems using PCMs for solar air systems, in which two performance indicators of average heat transfer effectiveness and effective PCM charging time were used as the conflicting objectives. The influence of the key design variables on the performance of an air-based PCM TES system was first experimentally investigated using Taguchi method, and the results were used to develop two performance models for optimisation. A genetic algorithm was used to search for an optimal Pareto front and a multi-criteria decision-making process was employed to determine the compromise optimal solutions. The results showed that the average heat transfer effectiveness of the PCM TES system can be improved from 44.25 to 59.29% while the effective PCM charging time increased from 4.53 to 6.11 h when using the solutions identified by the proposed strategy with the weighting factors of 0.5/0.5 for both objectives, in comparison to a baseline case. A further comparison showed that the optimal design identified by the proposed strategy outperformed the two designs identified using Taguchi method. Highlights: A thermal energy storage using phase change materials was experimentally studied. Two performance indicators were developed and used for performance evaluation. An optimal strategy was developed to optimally size thermal energy storage systems. Heat transfer effectiveness increased 15% with 1.6 h increase in charging time. … (more)
- Is Part Of:
- Renewable energy. Volume 130(2019)
- Journal:
- Renewable energy
- Issue:
- Volume 130(2019)
- Issue Display:
- Volume 130, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 130
- Issue:
- 2019
- Issue Sort Value:
- 2019-0130-2019-0000
- Page Start:
- 1116
- Page End:
- 1129
- Publication Date:
- 2019-01
- Subjects:
- Phase change materials -- Thermal energy storage -- Experimental investigation -- Multi-objective optimisation -- Decision-making
Renewable energy sources -- Periodicals
Power resources -- Periodicals
Énergies renouvelables -- Périodiques
Ressources énergétiques -- Périodiques
333.794 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09601481 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/renewable-energy/ ↗ - DOI:
- 10.1016/j.renene.2018.08.071 ↗
- Languages:
- English
- ISSNs:
- 0960-1481
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7364.187000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23155.xml