IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v130y2019icp1116-1129.html
   My bibliography  Save this article

Multi-objective optimisation of thermal energy storage using phase change materials for solar air systems

Author

Listed:
  • Lin, Wenye
  • Ma, Zhenjun
  • Ren, Haoshan
  • Gschwander, Stefan
  • Wang, Shugang

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.

Suggested Citation

  • Lin, Wenye & Ma, Zhenjun & Ren, Haoshan & Gschwander, Stefan & Wang, Shugang, 2019. "Multi-objective optimisation of thermal energy storage using phase change materials for solar air systems," Renewable Energy, Elsevier, vol. 130(C), pages 1116-1129.
    • Handle: RePEc:eee:renene:v:130:y:2019:i:c:p:1116-1129
    DOI: 10.1016/j.renene.2018.08.071
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118310218
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2018.08.071?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tay, N.H.S. & Belusko, M. & Bruno, F., 2012. "Experimental investigation of tubes in a phase change thermal energy storage system," Applied Energy, Elsevier, vol. 90(1), pages 288-297.
    2. Fiorentini, Massimo & Wall, Josh & Ma, Zhenjun & Braslavsky, Julio H. & Cooper, Paul, 2017. "Hybrid model predictive control of a residential HVAC system with on-site thermal energy generation and storage," Applied Energy, Elsevier, vol. 187(C), pages 465-479.
    3. Tay, N.H.S. & Belusko, M. & Bruno, F., 2012. "An effectiveness-NTU technique for characterising tube-in-tank phase change thermal energy storage systems," Applied Energy, Elsevier, vol. 91(1), pages 309-319.
    4. Declan Butler, 2008. "Architecture: Architects of a low-energy future," Nature, Nature, vol. 452(7187), pages 520-523, April.
    5. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. He, Zhaoyu & Guo, Weimin & Zhang, Peng, 2022. "Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    2. Tafavogh, Mahyar & Zahedi, Alireza, 2021. "Design and production of a novel encapsulated nano phase change materials to improve thermal efficiency of a quintuple renewable geothermal/hydro/biomass/solar/wind hybrid system," Renewable Energy, Elsevier, vol. 169(C), pages 358-378.
    3. Zhou, Yuekuan & Zheng, Siqian & Liu, Zhengxuan & Wen, Tao & Ding, Zhixiong & Yan, Jun & Zhang, Guoqiang, 2020. "Passive and active phase change materials integrated building energy systems with advanced machine-learning based climate-adaptive designs, intelligent operations, uncertainty-based analysis and optim," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    4. Zhou, Yuekuan & Zheng, Siqian & Zhang, Guoqiang, 2020. "Machine-learning based study on the on-site renewable electrical performance of an optimal hybrid PCMs integrated renewable system with high-level parameters’ uncertainties," Renewable Energy, Elsevier, vol. 151(C), pages 403-418.
    5. Calabrese, Luigi & Brancato, Vincenza & Paolomba, Valeria & Proverbio, Edoardo, 2019. "An experimental study on the corrosion sensitivity of metal alloys for usage in PCM thermal energy storages," Renewable Energy, Elsevier, vol. 138(C), pages 1018-1027.
    6. Hajabdollahi, Hassan, 2021. "Thermoeconomic assessment of integrated solar flat plat collector with cross flow heat exchanger as solar air heater using numerical analysis," Renewable Energy, Elsevier, vol. 168(C), pages 491-504.
    7. Li, Jiaqi & Tu, Rang & Liu, Mengdan & Wang, Siqi, 2021. "Exergy analysis of a novel multi-stage latent heat storage device based on uniformity of temperature differences fields," Energy, Elsevier, vol. 221(C).
    8. Hosseinzadeh, Mohammad & Faezian, Ali & Mirzababaee, Seyyed Mahdi & Zamani, Hosein, 2020. "Parametric analysis and optimization of a portable evacuated tube solar cooker," Energy, Elsevier, vol. 194(C).
    9. Zhou, Yuekuan & Zheng, Siqian, 2020. "Multi-level uncertainty optimisation on phase change materials integrated renewable systems with hybrid ventilations and active cooling," Energy, Elsevier, vol. 202(C).
    10. Mohammad Ghalambaz & Jasim M. Mahdi & Amirhossein Shafaghat & Amir Hossein Eisapour & Obai Younis & Pouyan Talebizadeh Sardari & Wahiba Yaïci, 2021. "Effect of Twisted Fin Array in a Triple-Tube Latent Heat Storage System during the Charging Mode," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    11. Tafavogh, Mahyar & Zahedi, Alireza, 2022. "Improving the performance of home heating system with the help of optimally produced heat storage nanocapsules," Renewable Energy, Elsevier, vol. 181(C), pages 1276-1293.
    12. Reji Kumar, R. & Samykano, M. & Pandey, A.K. & Kadirgama, K. & Tyagi, V.V., 2020. "Phase change materials and nano-enhanced phase change materials for thermal energy storage in photovoltaic thermal systems: A futuristic approach and its technical challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    13. Ana Cristina Ferreira & Angela Silva & José Carlos Teixeira & Senhorinha Teixeira, 2020. "Multi-Objective Optimization of Solar Thermal Systems Applied to Portuguese Dwellings," Energies, MDPI, vol. 13(24), pages 1-23, December.
    14. Zhou, Yuekuan & Zheng, Siqian & Zhang, Guoqiang, 2020. "Machine learning-based optimal design of a phase change material integrated renewable system with on-site PV, radiative cooling and hybrid ventilations—study of modelling and application in five clima," Energy, Elsevier, vol. 192(C).
    15. Mohammad Ghalambaz & Hayder I. Mohammed & Jasim M. Mahdi & Amir Hossein Eisapour & Obai Younis & Aritra Ghosh & Pouyan Talebizadehsardari & Wahiba Yaïci, 2021. "Intensifying the Charging Response of a Phase-Change Material with Twisted Fin Arrays in a Shell-And-Tube Storage System," Energies, MDPI, vol. 14(6), pages 1-19, March.
    16. Le Minh Nhut & Waseem Raza & Youn Cheol Park, 2020. "A Parametric Study of a Solar-Assisted House Heating System with a Seasonal Underground Thermal Energy Storage Tank," Sustainability, MDPI, vol. 12(20), pages 1-19, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sun, Xiaoqin & Zhang, Quan & Medina, Mario A. & Liao, Shuguang, 2015. "Performance of a free-air cooling system for telecommunications base stations using phase change materials (PCMs): In-situ tests," Applied Energy, Elsevier, vol. 147(C), pages 325-334.
    2. Tay, N.H.S. & Belusko, M. & Liu, M. & Bruno, F., 2015. "Investigation of the effect of dynamic melting in a tube-in-tank PCM system using a CFD model," Applied Energy, Elsevier, vol. 137(C), pages 738-747.
    3. Tay, N.H.S. & Belusko, M. & Castell, A. & Cabeza, L.F. & Bruno, F., 2014. "An effectiveness-NTU technique for characterising a finned tubes PCM system using a CFD model," Applied Energy, Elsevier, vol. 131(C), pages 377-385.
    4. Beyne, W. & T'Jollyn, I. & Lecompte, S. & Cabeza, L.F. & De Paepe, M., 2023. "Standardised methods for the determination of key performance indicators for thermal energy storage heat exchangers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    5. Joybari, Mahmood Mastani & Seddegh, Saeid & Wang, Xiaolin & Haghighat, Fariborz, 2019. "Experimental investigation of multiple tube heat transfer enhancement in a vertical cylindrical latent heat thermal energy storage system," Renewable Energy, Elsevier, vol. 140(C), pages 234-244.
    6. Tay, N.H.S. & Liu, M. & Belusko, M. & Bruno, F., 2017. "Review on transportable phase change material in thermal energy storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 264-277.
    7. Amin, N.A.M. & Belusko, M. & Bruno, F., 2014. "An effectiveness-NTU model of a packed bed PCM thermal storage system," Applied Energy, Elsevier, vol. 134(C), pages 356-362.
    8. Zsembinszki, Gabriel & Solé, Cristian & Castell, Albert & Pérez, Gabriel & Cabeza, Luisa F., 2013. "The use of phase change materials in fish farms: A general analysis," Applied Energy, Elsevier, vol. 109(C), pages 488-496.
    9. Tay, N.H.S. & Bruno, F. & Belusko, M., 2013. "Comparison of pinned and finned tubes in a phase change thermal energy storage system using CFD," Applied Energy, Elsevier, vol. 104(C), pages 79-86.
    10. Wang, Wei-Wei & Wang, Liang-Bi & He, Ya-Ling, 2015. "The energy efficiency ratio of heat storage in one shell-and-one tube phase change thermal energy storage unit," Applied Energy, Elsevier, vol. 138(C), pages 169-182.
    11. Castell, A. & Solé, C., 2015. "An overview on design methodologies for liquid–solid PCM storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 289-307.
    12. Tay, N.H.S. & Bruno, F. & Belusko, M., 2013. "Experimental investigation of dynamic melting in a tube-in-tank PCM system," Applied Energy, Elsevier, vol. 104(C), pages 137-148.
    13. López-Navarro, A. & Biosca-Taronger, J. & Corberán, J.M. & Peñalosa, C. & Lázaro, A. & Dolado, P. & Payá, J., 2014. "Performance characterization of a PCM storage tank," Applied Energy, Elsevier, vol. 119(C), pages 151-162.
    14. Amin, N.A.M. & Bruno, F. & Belusko, M., 2014. "Effective thermal conductivity for melting in PCM encapsulated in a sphere," Applied Energy, Elsevier, vol. 122(C), pages 280-287.
    15. Yi Peng, 2015. "Regional earthquake vulnerability assessment using a combination of MCDM methods," Annals of Operations Research, Springer, vol. 234(1), pages 95-110, November.
    16. Zheng, Guozhong & Wang, Xiao, 2020. "The comprehensive evaluation of renewable energy system schemes in tourist resorts based on VIKOR method," Energy, Elsevier, vol. 193(C).
    17. Milad Zamanifar & Seyed Mohammad Seyedhoseyni, 2017. "Recovery planning model for roadways network after natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 699-716, June.
    18. Pedro Ponce & Citlaly Pérez & Aminah Robinson Fayek & Arturo Molina, 2022. "Solar Energy Implementation in Manufacturing Industry Using Multi-Criteria Decision-Making Fuzzy TOPSIS and S4 Framework," Energies, MDPI, vol. 15(23), pages 1-19, November.
    19. Wenyao Niu & Yuan Rong & Liying Yu & Lu Huang, 2022. "A Novel Hybrid Group Decision Making Approach Based on EDAS and Regret Theory under a Fermatean Cubic Fuzzy Environment," Mathematics, MDPI, vol. 10(17), pages 1-30, August.
    20. Hisham Alidrisi, 2021. "An Innovative Job Evaluation Approach Using the VIKOR Algorithm," JRFM, MDPI, vol. 14(6), pages 1-19, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:130:y:2019:i:c:p:1116-1129. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.