solar network; control; plug flow; dynamic modelling; modelica
Abstract :
[en] Solar thermal plants are often considered as a convenient and environmentally friendly way to supply heat to buildings or low temperature industrial processes. Some modelling techniques are required to assess the dynamic behaviour of solar thermal plants in order to control them correctly. This aspect is reinforced while large plants are considered. Indeed, some atmospheric conditions, such as local clouds, could have significant influence on the outlet temperature of the solar field. A common modelling approach to assess the heat transport in pipes is the one-dimensional finite volume method. However, previous work shows limitations in the assessment of the temperatures and in the computational time required for simulating large pipe networks. In this contribution, a previous alternative method developed and validated in a district heating network is used and extended to a solar thermal plant considering the thermal solar gain and the inertia of the pipes. The present contribution intends to experimentally validate this model on an existing solar plant facility available at the Plataforma Solar de Almeria in Spain.
Disciplines :
Energy
Author, co-author :
Sartor, Kevin ; Université de Liège - ULiège > ARI : Planification : Energie - Environnement
Dickes, Rémi ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Systèmes énergétiques
Language :
English
Title :
Experimental Validation of Heat Transport Modelling in Large Solar Thermal Plants
Publication date :
08 May 2020
Journal title :
Energies
ISSN :
1996-1073
Publisher :
Multidisciplinary Digital Publishing Institute (MDPI), Switzerland
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Bibliography
Duffe, J.A.A.; Beckman,W.A. Solar Engineering of Thermal Processes; JohnWiley &Sons, Inc.: Hoboken, NJ, USA, 2013.
Andrei, I.; Ralon, P.; Rodriguez, A.; Taylor, M.; International Renewable Energy Agency. Abu Habi: 2017. Available online: https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2018/Jan/IRENA2017 PowerCosts2018.pdf (accessed on 7 April 2020).
Pramanik, S.; Ravikrishna, R.V. A review of concentrated solar power hybrid technologies. Appl. Therm. Eng. 2017, 127, 602-637. [CrossRef]
Mathews, J.A.; Hu, M.-C.; Wu, C.-Y. Concentrating solar power: A renewable energy frontier. Carbon Manag. 2014, 5, 293-308. [CrossRef]
Martínez, D.; Rubio, F.R.; Berenguel, M.; Camacho, E.F. Control of Solar Energy Systems; Springer-Verlag: London, UK, 2012. [CrossRef]
Schlipf, D.; Schneider, G.; Maier, H. Using evolutionary algorithm to develop a feed forward control for CSP plant using mid-and long term storages. Energy Procedia 2013, 49, 2191-2200. [CrossRef]
Sartor, K.; Thomas, D.; Dewallef, P. A comparative study for simulating heat transport in large district heating networks. Int. J. Heat Technol. 2018, 36, 301-308. [CrossRef]
Van den Bossche, G. Lokale Temperatuurverhoging Versus Tijdmodulatie in Lage TemperatuurWarmtenetten. Ph.D. Thesis, KULeuven, Leuven, Belgium, 2015.
Grosswindhager, S.; Voigt, A.; Kozek, M. Linear finite-difference schemes for energy transport in district heating networks. In Proceedings of the 2nd International Conference on Computer Modeling and Simulation, Brno, Czech Republic, 5-7 September 2011; pp. 5-7.
Bennett, A. Lagrangian Fluid Dynamics; Cambridge University Press: Cambridge, UK, 2006.
van der Heijde, B.; Fuchs, M.; Tugores, C.R.; Schweiger, G.; Sartor, K.; Basciotti, D.; Müller, D.; Nytsch-Geusen, C.; Wetter, M.; Helsen, L. Dynamic equation-based thermo-hydraulic pipe model for district heating and cooling systems. Energy Convers. Manag. 2017, 151, 158-169. [CrossRef]
Sartor, K. Annex 60: Subtask 2.2 Modeling Heat Transport in District Heating Networks; Annex 60: Paris, France, 2015.
Sartor, K.; Dewalef, P. Experimental validation of heat transport modelling in district heating network. Energy 2017, 137, 961-968. [CrossRef]
Wetter, M.; Fuchs, M.; Grozman, P.; Helsen, L.; Jorissen, F.; Lauster, M. IEA EBC ANNEX 60 Modelica library-An international collaboration to develop a free opensource model library for buildings and community energy systems. In Proceedings of the BS2015 14th International Building Performance Simulation Association, Rome, Italy, 2-4 September 2019; pp. 395-402.
Bøhm, B. On transient heat losses from buried district heating pipes. Int. J. Energy Res. 2000, 24, 1311-1334. [CrossRef]
Velut, S.; Tummescheit, H. Implementation of a transmission line model for fast simulation of fluid flow dynamics. In Proceedings of the 8th International Modelica Conference, Dresden, Germany, 20-22 March 2011; p. 8.
Association, M. Modelica® -A Unified Object-Oriented Language for Systems Modeling Language Specification. 2014. Available online: https://www.modelica.org/documents/ModelicaSpec33Revision1.pdf (accessed on 7 May 2020).
Benonysson, A.; Bøhm, B.; Ravn, H.F. Operational optimization in a district heating system. Energy Convers. Manag. 1995, 36, 297-314. [CrossRef]
National Renewable Energy Laboratory. Heat Transfer Analysis and Modeling of a Parabolic Trough Solar Receiver Implemented in Engineering Equation Solver; National Renewable Energy Laboratory: Golden, CO, USA, 2003.
Desideri, A.; Dickes, R.; Bonillab, J.; Valenzuela, L.; Quoilin, S.; Lemort, V. Steady-state and dynamic validation of a parabolic through collector model using the ThermoCycle Modelica library. Sol. Energy 2018, 174, 866-877. [CrossRef]
Dahm, J. District Heating Pipelines in the Ground-Simulation Model. 2001. Available online: https: //trnsys.de/download/de/tstype313de.pdf (accessed on 26 September 2016).
TRNSYS 17 Manual-Volume 4-Mathematical Reference 2009, 486. Available online: https://docplayer. net/13373943-Trnsys-17-volume-4-mathematical-reference-A-transient-system-s-imulation-program.html (accessed on 23 December 2018).
León, J.; Clavero, J.; Valenzuela, L.; Zarza, E.; García, G. PTTL-A Life-size Test Loop for Parabolic Trough Collectors. In Proceedings of the SolarPACES 2013 International Conference, Las Vegas, NV, USA, 17-20 September 2013; Volume 49, pp. 136-144. [CrossRef]
Dow Inc. Syltherm 800 Heat Transfer Liquid; Dow Inc.: Midland, MI, USA, 1997.
Kipp&zonen B.V. CH1 Normal Incidence Pyrhelimeter Manual; Kipp&zonen B.V.: Delft, The Netherlands, 1997.
Petzold, L.R. A Description of DASSL: A Differential-algebraic system solver. In Proceedings of the 10th IMACSWorld Congress, Montreal, QC, Canada, 8-13 August 1982; pp. 65-68.
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