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Black-box model for solar storage tanks based on multiple linear regression

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  • Kicsiny, Richárd

Abstract

Developing easy-to-use mathematical models for describing temperatures of solar storage tanks is important for the practice, since solar storages are unavoidable elements in solar heating systems, where some heat should be stored in the form of hot fluid. In this paper, a new, general and easy-to-apply black-box model, called LR model (where LR is the abbreviation of linear regression), is proposed for solar storages on the basis of multiple linear regression. This linear model may be the simplest black-box type model, which can follow the transient processes of solar storages precisely. Accordingly, the LR model proves to be more precise than a slightly modified version of a physically-based storage model used successfully for different applications in the literature. The modified physically-based model accounts for the short circuit effect occurring in storages. Comparing measured and simulated data on a real solar storage, both models are validated and their efficiency is discussed in details. The general and simple usability of the LR model is mentioned and future research proposals are given.

Suggested Citation

  • Kicsiny, Richárd, 2018. "Black-box model for solar storage tanks based on multiple linear regression," Renewable Energy, Elsevier, vol. 125(C), pages 857-865.
    • Handle: RePEc:eee:renene:v:125:y:2018:i:c:p:857-865
    DOI: 10.1016/j.renene.2018.02.037
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    References listed on IDEAS

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    1. Araújo, António & Pereira, Vítor, 2017. "Solar thermal modeling for rapid estimation of auxiliary energy requirements in domestic hot water production: Proportional flow rate control," Energy, Elsevier, vol. 138(C), pages 668-681.
    2. Wang, Zilong & Zhang, Hua & Dou, Binlin & Huang, Huajie & Wu, Weidong & Wang, Zhiyun, 2017. "Experimental and numerical research of thermal stratification with a novel inlet in a dynamic hot water storage tank," Renewable Energy, Elsevier, vol. 111(C), pages 353-371.
    3. Cabello, J.M. & Cejudo, J.M. & Luque, M. & Ruiz, F. & Deb, K. & Tewari, R., 2011. "Optimization of the size of a solar thermal electricity plant by means of genetic algorithms," Renewable Energy, Elsevier, vol. 36(11), pages 3146-3153.
    4. Kicsiny, Richárd, 2016. "Improved multiple linear regression based models for solar collectors," Renewable Energy, Elsevier, vol. 91(C), pages 224-232.
    5. Kalogirou, Soteris A., 2000. "Applications of artificial neural-networks for energy systems," Applied Energy, Elsevier, vol. 67(1-2), pages 17-35, September.
    6. Han, Y.M. & Wang, R.Z. & Dai, Y.J., 2009. "Thermal stratification within the water tank," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1014-1026, June.
    7. Araújo, António & Pereira, Vítor, 2017. "Solar thermal modeling for rapid estimation of auxiliary energy requirements in domestic hot water production: On-off flow rate control," Energy, Elsevier, vol. 119(C), pages 637-651.
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    Cited by:

    1. Jie Huang & Fei Xu & Zilong Wang & Hua Zhang, 2023. "An Experimental Investigation on the Performance of a Water Storage Tank with Sodium Acetate Trihydrate," Energies, MDPI, vol. 16(2), pages 1-14, January.
    2. Wang, Zilong & Zhang, Hua & Huang, Huajie & Dou, Binlin & Huang, Xiuhui & Goula, Maria A., 2019. "The experimental investigation of the thermal stratification in a solar hot water tank," Renewable Energy, Elsevier, vol. 134(C), pages 862-874.

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