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Numerical Investigation of Pipelines Modeling in Small-Scale Concentrated Solar Combined Heat and Power Plants

Author

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  • Roberto Tascioni

    (DIAEE, Dipartimento di Ingegneria Astronautica, Elettrica ed Energetica, Sapienza Università di Roma, 00184 Rome, Italy
    CREAT, Centro di Ricerca su Energia, Ambiente e Territorio, Università Telematica eCampus, 22060 Novedrate, Italy)

  • Luca Cioccolanti

    (CREAT, Centro di Ricerca su Energia, Ambiente e Territorio, Università Telematica eCampus, 22060 Novedrate, Italy)

  • Luca Del Zotto

    (CREAT, Centro di Ricerca su Energia, Ambiente e Territorio, Università Telematica eCampus, 22060 Novedrate, Italy)

  • Emanuele Habib

    (DIAEE, Dipartimento di Ingegneria Astronautica, Elettrica ed Energetica, Sapienza Università di Roma, 00184 Rome, Italy)

Abstract

In this paper four different detailed models of pipelines are proposed and compared to assess the thermal losses in small-scale concentrated solar combined heat and power plants. Indeed, previous numerical analyses carried out by some of the authors have revealed the high impact of pipelines on the performance of these plants because of their thermal inertia. Hence, in this work the proposed models are firstly compared to each other for varying temperature increase and mass flow rate. Such comparison shows that the one-dimensional (1D) longitudinal model is in good agreement with the results of the more detailed two-dimensional (2D) model at any temperature gradient for heat transfer fluid velocities higher than 0.1 m/s whilst the lumped model agrees only at velocities higher than 1 m/s. Then, the 1D longitudinal model is implemented in a quasi-steady-state Simulink model of an innovative microscale concentrated solar combined heat and power plant and its performances evaluated. Compared to the results obtained using the Simscape library model of the tube, the performances of the plant show appreciable discrepancies during the winter season. Indeed, whenever the longitudinal thermal gradient of the fluid inside the pipeline is high (as at part-load conditions in winter season), the lumped model becomes inaccurate with more than 20% of deviation of the thermal losses and 30% of the organic Rankine cycle (ORC) electric energy output with respect to the 1D longitudinal model. Therefore, the analysis proves that an hybrid model able to switch from a 1D longitudinal model to a zero-dimensional (0D) model with delay based on the fluid flow rate is recommended to obtain results accurate enough whilst limiting the computational efforts.

Suggested Citation

  • Roberto Tascioni & Luca Cioccolanti & Luca Del Zotto & Emanuele Habib, 2020. "Numerical Investigation of Pipelines Modeling in Small-Scale Concentrated Solar Combined Heat and Power Plants," Energies, MDPI, vol. 13(2), pages 1-16, January.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:429-:d:309282
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    References listed on IDEAS

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    1. Persson, Urban & Werner, Sven, 2012. "District heating in sequential energy supply," Applied Energy, Elsevier, vol. 95(C), pages 123-131.
    2. Wang, Yaran & You, Shijun & Zhang, Huan & Zheng, Xuejing & Zheng, Wandong & Miao, Qingwei & Lu, Gang, 2017. "Thermal transient prediction of district heating pipeline: Optimal selection of the time and spatial steps for fast and accurate calculation," Applied Energy, Elsevier, vol. 206(C), pages 900-910.
    3. Villarini, Mauro & Tascioni, Roberto & Arteconi, Alessia & Cioccolanti, Luca, 2019. "Influence of the incident radiation on the energy performance of two small-scale solar Organic Rankine Cycle trigenerative systems: A simulation analysis," Applied Energy, Elsevier, vol. 242(C), pages 1176-1188.
    4. Dénarié, A. & Aprile, M. & Motta, M., 2019. "Heat transmission over long pipes: New model for fast and accurate district heating simulations," Energy, Elsevier, vol. 166(C), pages 267-276.
    5. Wang, Hai & Meng, Hua, 2018. "Improved thermal transient modeling with new 3-order numerical solution for a district heating network with consideration of the pipe wall's thermal inertia," Energy, Elsevier, vol. 160(C), pages 171-183.
    6. Manfrida, Giampaolo & Secchi, Riccardo & Stańczyk, Kamil, 2016. "Modelling and simulation of phase change material latent heat storages applied to a solar-powered Organic Rankine Cycle," Applied Energy, Elsevier, vol. 179(C), pages 378-388.
    7. Werner, Sven, 2017. "International review of district heating and cooling," Energy, Elsevier, vol. 137(C), pages 617-631.
    8. del Hoyo Arce, Itzal & Herrero López, Saioa & López Perez, Susana & Rämä, Miika & Klobut, Krzysztof & Febres, Jesus A., 2018. "Models for fast modelling of district heating and cooling networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P2), pages 1863-1873.
    9. Cioccolanti, Luca & Tascioni, Roberto & Arteconi, Alessia, 2018. "Mathematical modelling of operation modes and performance evaluation of an innovative small-scale concentrated solar organic Rankine cycle plant," Applied Energy, Elsevier, vol. 221(C), pages 464-476.
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    Cited by:

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    3. Efrain Mendez & Alexandro Ortiz & Pedro Ponce & Israel Macias & David Balderas & Arturo Molina, 2020. "Improved MPPT Algorithm for Photovoltaic Systems Based on the Earthquake Optimization Algorithm," Energies, MDPI, vol. 13(12), pages 1-24, June.

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