Abstract
Thermal storage systems are central elements of various types of power plants operated using renewable and conventional energy sources. Where gaseous heat transfer media are used, a regenerator-type heat storage with a packed bed inventory is a particularly cost-effective solution. However, suitable design tools to analyse the thermo-mechanical aspects of large-scale storage of high temperature heat are currently still missing. As a basis for such a tool, this contribution presents a novel approach for the prediction of the thermo-mechanical behaviour of such storage under thermo-cyclic operation. The relevant relations are formulated on the basis of the discrete element method (DEM). Here, the forces interacting between spherical particles are calculated by spring, dashpot and friction models and the resulting translations and rotations are determined solving Newton’s equations of motion. Coupling these equations with a simplified thermal model that considers the heat resistance within the particles allows for investigation of the thermo-mechanical behaviours of a packed bed. For adequate implementation of this new approach and for reduced computational effort, a time-step control has been implemented and validated. Initial simulation results include the temporal and spatial displacements as well as the forces acting on the individual bodies for a thermo-cyclic operation.
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Abbreviations
- c :
-
Specific heat capacities (J/kg K)
- C :
-
Damping coefficient (kg/s)
- e :
-
Coefficient of restitution
- F :
-
Contact force (N)
- g :
-
Gravitational acceleration (m/s2)
- h :
-
Heat transfer coefficient (W/m2 K)
- J :
-
Moment of inertia (kg m2)
- k :
-
Regenerator heat transfer coefficient (W/m2 K)
- K :
-
Spring constant (N/m)
- m :
-
Mass (kg)
- \( \dot{m} \) :
-
Mass flow rate (kg/s)
- \( \vec{n} \) :
-
Normal directed vector
- O :
-
Total heat transfer surface (m2)
- r :
-
Particle radius (m)
- t :
-
Time (s)
- \( \vec{t} \) :
-
Tangential directed vector
- Δt :
-
Time-step size (s)
- T :
-
Temperature (K)
- ν:
-
Relative velocity (m/s)
- V :
-
Volume (m3)
- x :
-
Particle coordinates (m)
- α:
-
Linear expansion coefficient (K−1)
- γ:
-
Damping parameter
- δ:
-
Penetration depth (m)
- ζ:
-
Normalisation of time
- η:
-
Normalisation of space
- λ:
-
Thermal conductivity (W/m K)
- Λ:
-
Reduced regenerator length
- μ:
-
Coulomb friction coefficient
- Π:
-
Reduced period duration
- ρ:
-
Density (kg/m3)
- σ:
-
Mean stress tensor (Pa)
- τ:
-
Charge/discharge duration (s)
- Φ:
-
Equilibrium criterion (m)
- ψ:
-
Hausen parameter
- \( \vec{\omega } \) :
-
Rotational speed (s−1)
- f :
-
Fluid medium
- i :
-
Particle i
- j :
-
Particle j
- n :
-
Normal direction
- s :
-
Solid medium
- t :
-
Tangential direction
References
Ulf H, Bruce K, Price H (2004) Two-tank molten salt storage for parabolic trough solar power plants, Ulf Herrmann, Bruce Kelly, Henry Price, Energy 29:883–893
Tamme R, Laing D, Steinmann WD (2004) Advanced thermal storage technology for parabolic trough. J Sol Energy Eng vol 126, pp 794–800
Steinmann WD, Tamme R (2006) Latent Heat Storage for Solar Steam Systems. Proc. 13th Solar-PACES International Symposium on Concentrated Solar Power and Chemical Energy Technology, June 20–23. Sevilla, Spain
Turner RH (1978) High temperature thermal energy storage. Franklin, Philadelphia
Winter C.-J., Sizmann RL, Vant-Hull LL (1991) Solar power plants. Fundamentals, technology, systems, economics. Springer, Berlin
Hausen H (1950) Wärmeübertragung im Gegenstrom, Gleichstrom und Kreuzstrom. Springer, Heidelberg, Berlin
Heiligenstaedt, W (1966) Wärmetechnische Rechnungen für Industrieöfen. 4. Aufl. Düsseldorf: Verl. Stahleisen
Gan Y, Kamlah M (2006) Identification of material parameters of a thermo-mechanical model for pebble beds in fusion blankets. Forschungszentrum Karlsruhe, Postfach, Karlsruhe, Germany
Dell’Orco G, Di Maio PA, Giammusso R, Tincani A, Vella G (2007) A constitutive model for the thermo-mechanical behaviour of fusion-relevant pebble beds and its application to the simulation of HELICA mock-up experimental results. EFDA CSU, Boltzmannstr. 2, 85748 Garching bei Munchen, Germany
An Z, Ying A, Abdou M (2005) Experimental and numerical study of ceramic breeder pebble bed thermal deformation behavior. Fusion Sci Tech 47(4):1101–1105
Aquaro D, Zaccari N (2005) Pebble bed thermal–mechanical theoretical model application at the geometry of test blanket module of ITER-FEAT nuclear fusion reactor
Ying A, Huang H, Abdou MA, Zi L (2001) Effects of thermal expansion mismatch on solid breeder blanket pebble bed and structural clad thermomechanics interactions. Fusion technology ISSN 0748-1896 CODEN FUSTE8
Lu Z, Ying AY, Abdou MA (2001) Numerical and experimental prediction of the thermomechanical performance of pebble beds for solid breeder blanket, UCLA, Los Angeles, CA 90095-1597, USA
Cundall PA, Strack ODL (1979) A discrete numerical model for granular assemblies. Géotechnique 29:47–65
Masson S, Martinez J (2000) Effect of particle mechanical properties on silo flow and stresses from distinct element simulations. Powder Technol 109:164–178
Ting JM, Khwaja M, Meachum AR, Rowell JD (1993) An ellipse-based discrete element model for granular materials. Int J Numer Anal Methods Geomech, vol 17, pp 603–623
Pöschel T (1995) Molecular dynamics of arbitrarily shaped granular particles. J Phys I France, vol 5, pp 1431–1455
Schmidt FW, Willmott AJ (1981) Thermal energy storage and regeneration. McGraw-Hill Book Company
Gnielinski V (1982) vt “Verfahrenstechnik” 16, Nr.1, S.36/39
Lätzel M (2003) From microscopic simulations towards a macroscopic description of granular media. Diss., Universität Stuttgart, Stuttgart
D’Addetta GA (2004) Discrete models for cohesive frictional materials. Universität Stuttgart, Stuttgart
Lungfiel A (2002) Ermittlung von Belastungsgrößen mittels der Diskrete-Elemente-Methode für die Auslegung von Sturzmühlen. Diss, Von der Fakultät für Maschinenbau, Verfahrens- und Energietechnik der Technischen Universität Bergakademie Freiberg
Matuttis HG, Luding S, Herrmann HJ (2000) Discrete element simulations of dense packings and heaps made of spherical and non-spherical particles. Powder Technol 109(2000):278–292
Shampine, LF, Reichelt MW (1997) The MATLAB ODE Suite. SIAM J Sci Comput. vol 18, pp 1–22
Asmar BN, Langston PA, Matchett AJ, Walters JK (2002) Validation tests on a distinct element model of vibrating cohesive particle systems. Comput Chem Eng 26(2002):785–802
Gekoppelte (2006) CFD/DEM-Simulation blasenbildender Wirbelschichten, Götz, Sören Diss. Universität Dortmund, Shaker Verlag, Aachen
Mioa H, Akashi M, Shimosaka A, Shirakawa Y, Hidaka J, Matsuzaki S (2009) Speed-up of computing time for numerical analysis of particle charging process by using discrete element method. Chem Eng Sci 64:1019–1026
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Dedicated to Professor Dr.-Ing. Dr.h.c. mult. Karl Stephan on the occasion of his 80th birthday.
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Dreißigacker, V., Müller-Steinhagen, H. & Zunft, S. Thermo-mechanical analysis of packed beds for large-scale storage of high temperature heat. Heat Mass Transfer 46, 1199–1207 (2010). https://doi.org/10.1007/s00231-010-0684-5
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DOI: https://doi.org/10.1007/s00231-010-0684-5