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Modelling of an ICS solar water heater using artificial neural networks and TRNSYS

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  • Souliotis, M.
  • Kalogirou, S.
  • Tripanagnostopoulos, Y.

Abstract

A study, in which a suitable artificial neural network (ANN) and TRNSYS are combined in order to predict the performance of an Integrated Collector Storage (ICS) prototype, is presented. Experimental data that have been collected from outdoor tests of an ICS solar water heater with cylindrical water storage tank inside a CPC reflector trough were used to train the ANN. The ANN is then used through the Excel interface (Type 62) in TRNSYS to model the annual performance of the system by running the model with the values of a typical meteorological year for Athens, Greece. In this way the specific capabilities of both approaches are combined, i.e., use of the radiation processing and modelling power of TRNSYS together with the “black box” modelling approach of ANNs. The details of the calculation steps of both methods that aim to perform an accurate prediction of the system performance are presented and it is shown that this new method can be used effectively for such predictions.

Suggested Citation

  • Souliotis, M. & Kalogirou, S. & Tripanagnostopoulos, Y., 2009. "Modelling of an ICS solar water heater using artificial neural networks and TRNSYS," Renewable Energy, Elsevier, vol. 34(5), pages 1333-1339.
    • Handle: RePEc:eee:renene:v:34:y:2009:i:5:p:1333-1339
    DOI: 10.1016/j.renene.2008.09.007
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    References listed on IDEAS

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    9. Souliotis, M. & Tripanagnostopoulos, Y., 2008. "Study of the distribution of the absorbed solar radiation on the performance of a CPC-type ICS water heater," Renewable Energy, Elsevier, vol. 33(5), pages 846-858.
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    Cited by:

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    3. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    4. Souliotis, M. & Chemisana, D. & Caouris, Y.G. & Tripanagnostopoulos, Y., 2013. "Experimental study of integrated collector storage solar water heaters," Renewable Energy, Elsevier, vol. 50(C), pages 1083-1094.
    5. Jha, Sunil Kr. & Bilalovic, Jasmin & Jha, Anju & Patel, Nilesh & Zhang, Han, 2017. "Renewable energy: Present research and future scope of Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 297-317.
    6. Liu, Ming & Saman, Wasim & Bruno, Frank, 2014. "Computer simulation with TRNSYS for a mobile refrigeration system incorporating a phase change thermal storage unit," Applied Energy, Elsevier, vol. 132(C), pages 226-235.
    7. Heng, Shye Yunn & Asako, Yutaka & Suwa, Tohru & Nagasaka, Ken, 2019. "Transient thermal prediction methodology for parabolic trough solar collector tube using artificial neural network," Renewable Energy, Elsevier, vol. 131(C), pages 168-179.
    8. Kessentini, Hamdi & Bouden, Chiheb, 2013. "Numerical and experimental study of an integrated solar collector with CPC reflectors," Renewable Energy, Elsevier, vol. 57(C), pages 577-586.
    9. Francesco Calise & Massimo Dentice D’Accadia & Carlo Barletta & Vittoria Battaglia & Antun Pfeifer & Neven Duic, 2017. "Detailed Modelling of the Deep Decarbonisation Scenarios with Demand Response Technologies in the Heating and Cooling Sector: A Case Study for Italy," Energies, MDPI, vol. 10(10), pages 1-33, October.
    10. Souliotis, Manolis & Papaefthimiou, Spiros & Caouris, Yiannis G. & Zacharopoulos, Aggelos & Quinlan, Patrick & Smyth, Mervyn, 2017. "Integrated collector storage solar water heater under partial vacuum," Energy, Elsevier, vol. 139(C), pages 991-1002.
    11. Shrivastava, R.L. & Vinod Kumar, & Untawale, S.P., 2017. "Modeling and simulation of solar water heater: A TRNSYS perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 126-143.
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    13. Devanarayanan, K. & Kalidasa Murugavel, K., 2014. "Integrated collector storage solar water heater with compound parabolic concentrator – development and progress," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 51-64.
    14. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Lee, Myeonghwi & Koo, Choongwan & Lee, Minhyun & Ji, Changyoon & Jeong, Jaewook, 2016. "An integrated multi-objective optimization model for determining the optimal solution in the solar thermal energy system," Energy, Elsevier, vol. 102(C), pages 416-426.
    15. Gautam, Abhishek & Chamoli, Sunil & Kumar, Alok & Singh, Satyendra, 2017. "A review on technical improvements, economic feasibility and world scenario of solar water heating system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 541-562.
    16. Singh, Ramkishore & Lazarus, Ian J. & Souliotis, Manolis, 2016. "Recent developments in integrated collector storage (ICS) solar water heaters: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 270-298.

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