Research Papers

Review of Heat Transfer Research for Solar Thermochemical Applications

[+] Author and Article Information
W. Lipiński

e-mail: lipinski@umn.edu

J. H. Davidson, L. Venstrom

Department of Mechanical Engineering,
University of Minnesota,
Minneapolis, MN 55455

S. Haussener

Institute of Mechanical Engineering,
Lausanne 1015, Switzerland;
Environmental Energy Technologies Division,
Lawrence Berkeley National Laboratory,
Berkeley, CA 94720

A. M. Mehdizadeh

Department of Mechanical and Aerospace Engineering,
University of Florida,
Gainesville, FL 32611

J. Petrasch

Energy Research Center,
Vorarlberg University of Applied Sciences,
Dornbirn 6850, Austria

A. Steinfeld

Department of Mechanical and Process Engineering,
ETH Zurich,
Zurich 8092, Switzerland;
Solar Technology Laboratory,
Paul Scherrer Institute,
Villigen 5232, Switzerland

1Corresponding author.

Manuscript received October 13, 2012; final manuscript received March 9, 2013; published online May 17, 2013. Assoc. Editor: S. A. Sherif.

J. Thermal Sci. Eng. Appl 5(2), 021005 (May 17, 2013) (14 pages) Paper No: TSEA-12-1173; doi: 10.1115/1.4024088 History: Received October 13, 2012; Revised March 09, 2013

This article reviews the progress, challenges and opportunities in heat transfer research as applied to high-temperature thermochemical systems that use high-flux solar irradiation as the source of process heat. Selected pertinent areas such as radiative spectroscopy and tomography-based heat and mass characterization of heterogeneous media, kinetics of high-temperature heterogeneous reactions, heat and mass transfer modeling of solar thermochemical systems, and thermal measurements in high-temperature systems are presented, with brief discussions of their methods and example results from selected applications.

Copyright © 2013 by ASME
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Fig. 1

Experimental setups for radiative measurements with packed beds of ZnO and beech charcoal [42]: (a) a fiber optics coupled to a spectrometer, and (b) a photodiode detector. (Reproduced with permission from Taylor & Francis.)

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Fig. 2

Spectroscopic goniometry system for measurements of directional and spectral characteristics of highly attenuating semitransparent media [45]: (1) dual Xe-arc/Cesiwid globar lamp, (2) double monochromator, (3) and (5) imaging lens pairs, (4) sample, (6) rotary detector, (7) beam chopper, (8) lock-in amplifier, and (9) data acquisition system. The x-y-z coordinate system is centered at the pivot point. (Reproduced with permission from Taylor & Francis.)

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Fig. 3

Normalized detector signal in forward direction plotted against three different RPC sample thicknesses at a wavelength of 500 nm and an acceptance opening half angle of 3.6 deg [45,46]. The solid line shows the best fit of the exponential function S = a1 exp(a2t), with S denoting the normalized signal and t the sample thickness. The 95% uncertainty limits are illustrated by the error bars and the dashed lines. (Reproduced with permission from Taylor & Francis.)

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Fig. 4

Normalized detector signal in forward direction for different thicknesses of a ZnO packed-bed sample at a wavelength of 1000 nm [45,47]. The measurement was performed by placing a detector directly on the sample surface, which is equivalent to integrating over an angular range of ±60 deg. The exponential fit is the same type as shown in Fig. 3, but this time it has a significant vertical-axis offset with respect to 100.

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Fig. 5

Sample of RPC foam: (a) top-view photograph and (b) 3D surface rendering of a 15 μm voxel size tomogram; (c) 2D image of a single strut obtained by high-resolution CT of 0.37 μm voxel size [60]

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Fig. 6

Tomography-based Monte Carlo ray-tracing radiative characterization of an RPC: (a) calculated cumulative distribution of extinction path length versus experimentally measured radiation intensity as a function of sample thickness, and (b) scattering phase functions calculated assuming diffusely or specularly reflecting strut surfaces [60]

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Fig. 7

Nu number as a function of Re and Pr numbers [60]

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Fig. 8

Tortuosity distribution as a function of Re number [60]

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Fig. 9

(a) DES simulation of the formed MSPS in a uniform magnetic field [84], and (b) SEM image of MSPS after 11 redox cycles; darker particles are silica and sintered iron chains have lighter tone [76]. (Reproduced with permission from the International Association of Hydrogen Energy.)

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Fig. 10

Comparison of measured and predicted hydrogen production rates at different temperatures [77]. (Reproduced with permission from the International Association of Hydrogen Energy.)

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Fig. 11

Comparison of peak hydrogen production rates for repeated redox cycles using different reactive materials [28,76,85-87]

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Fig. 12

Modeling schematics for the three solar reactor concepts [91]: (a) indirectly irradiated packed-bed, (b) directly irradiated vortex-flow, and (c) indirectly irradiated entrained flow. (Reproduced with permission from the Royal Society of Chemistry.)

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Fig. 13

Schematic of a solar chemical reactor for thermochemical dissociation of ZnO [21]: (a) reactor components: (1) rotating cavity lined with sintered ZnO tiles, (2) 80%Al2O3-20%SiO2 insulation, (3) 95%Al2O3-5%Y2O3 CMC, (4) alumina fibers, (5) Al reactor mantle, (6) aperture, (7) quartz window, (8) dynamic feeder, (9) conical frustum, (10) rotary joint; (b) cross section of the solar chemical reactor. Indicated are the locations of temperature measurements with type-B (B) and type-K (K) thermocouples. (Reproduced with permission from Elsevier.)

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Fig. 14

Measured (solid curves) and computed (dashed curves) temperatures halfway along the reactor cavity at locations TB,1, TB,2, TK,1, TK,2 (see locations in Fig. 13(b)), measured radiation power input Psolar, and numerically calculated ZnO-dissociation rate as a function of time for a set of four experimental runs with (a) 3, (b) 5, (c) 7, and (d) 9 feed-cycles [21]. The top arrows point out to the times when the batch feeding of ZnO took place. (Reproduced with permission from Elsevier.)

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Fig. 15

(a) The error fraction of the response of the alumina-sheathed Pt/Pt-Rh thermocouple probe to a step change in temperature in a highly radiative (IR) environment. The first-order time constant is extracted from the linear regression. (b) The uncorrected (T) and corrected (Tc) temperature of the solid powder during rapid heating and cooling cycles, demonstrating the importance of correcting for the sluggish response of the temperature probe.




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