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Development and validation of a detailed TRNSYS-Matlab model for large solar collector fields for district heating applications

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  • Bava, Federico
  • Furbo, Simon

Abstract

This study describes the development of a detailed TRNSYS-Matlab model to simulate the behavior of a large solar collector field for district heating application. The model includes and investigates aspects which are not always considered by simpler models, such as flow distribution in the different rows, effect of the flow regime on the collector efficiency, thermal capacity of the components and effect of shadows from row to row. The model was compared with measurements from a solar collector field and the impact of each aspect was evaluated. A good agreement between model and measurements was found. The results showed that a better agreement was achieved, when a flow regime-dependent efficiency of the collector was used. Also the precise flow distribution in the collector field improved the model accuracy, but it must be assessed if the aimed level of accuracy justifies the much longer programming and computing time. Thermal capacity was worth being considered only for the bulkier components, such as the longer distribution and transmission pipes. The actual control strategy, which regulates the flow rates in the solar heating plant, was accurately reproduced in the model, as proved by the good agreement with the measurements.

Suggested Citation

  • Bava, Federico & Furbo, Simon, 2017. "Development and validation of a detailed TRNSYS-Matlab model for large solar collector fields for district heating applications," Energy, Elsevier, vol. 135(C), pages 698-708.
    • Handle: RePEc:eee:energy:v:135:y:2017:i:c:p:698-708
    DOI: 10.1016/j.energy.2017.06.146
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    1. Biencinto, Mario & González, Lourdes & Valenzuela, Loreto, 2016. "A quasi-dynamic simulation model for direct steam generation in parabolic troughs using TRNSYS," Applied Energy, Elsevier, vol. 161(C), pages 133-142.
    2. Kong, Weiqiang & Perers, Bengt & Fan, Jianhua & Furbo, Simon & Bava, Federico, 2015. "A new Laplace transformation method for dynamic testing of solar collectors," Renewable Energy, Elsevier, vol. 75(C), pages 448-458.
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    2. Valeria Palomba & Efstratios Varvagiannis & Sotirios Karellas & Andrea Frazzica, 2019. "Hybrid Adsorption-Compression Systems for Air Conditioning in Efficient Buildings: Design through Validated Dynamic Models," Energies, MDPI, vol. 12(6), pages 1-28, March.
    3. Bava, Federico & Furbo, Simon, 2018. "Impact of different improvement measures on the thermal performance of a solar collector field for district heating," Energy, Elsevier, vol. 144(C), pages 816-825.
    4. Hussain, C.M. Iftekhar & Duffy, Aidan & Norton, Brian, 2020. "Thermophotovoltaic systems for achieving high-solar-fraction hybrid solar-biomass power generation," Applied Energy, Elsevier, vol. 259(C).
    5. Correa-Jullian, Camila & López Droguett, Enrique & Cardemil, José Miguel, 2020. "Operation scheduling in a solar thermal system: A reinforcement learning-based framework," Applied Energy, Elsevier, vol. 268(C).
    6. Meyers, Steven & Schmitt, Bastian & Vajen, Klaus, 2018. "Renewable process heat from solar thermal and photovoltaics: The development and application of a universal methodology to determine the more economical technology," Applied Energy, Elsevier, vol. 212(C), pages 1537-1552.
    7. Juan R Lizárraga-Morazán & Guillermo Martínez-Rodríguez & Amanda L Fuentes-Silva & Martín Picón-Núñez, 2021. "Selection of solar collector network design for industrial applications subject to economic and operation criteria," Energy & Environment, , vol. 32(8), pages 1504-1523, December.
    8. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    9. Lugo, S. & García-Valladares, O. & Best, R. & Hernández, J. & Hernández, F., 2019. "Numerical simulation and experimental validation of an evacuated solar collector heating system with gas boiler backup for industrial process heating in warm climates," Renewable Energy, Elsevier, vol. 139(C), pages 1120-1132.
    10. Yang, Ping & Ling, Weihao & Tian, Ke & Zeng, Min & Wang, Qiuwang, 2023. "Flow distribution and heat transfer performance of two-phase flow in parallel flow heat exchange system," Energy, Elsevier, vol. 270(C).
    11. Abokersh, Mohamed Hany & Vallès, Manel & Cabeza, Luisa F. & Boer, Dieter, 2020. "A framework for the optimal integration of solar assisted district heating in different urban sized communities: A robust machine learning approach incorporating global sensitivity analysis," Applied Energy, Elsevier, vol. 267(C).
    12. Gary Ampuño & Juan Lata-Garcia & Francisco Jurado, 2020. "Evaluation of Energy Efficiency and the Reduction of Atmospheric Emissions by Generating Electricity from a Solar Thermal Power Generation Plant," Energies, MDPI, vol. 13(3), pages 1-20, February.
    13. Lizárraga-Morazán, Juan Ramón & Picón-Núñez, Martín, 2023. "Optimal sizing and control strategy of low temperature solar thermal utility systems," Energy, Elsevier, vol. 263(PC).

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