Effective Radiative Properties of a Cylinder Array

2001 ◽  
Vol 124 (1) ◽  
pp. 198-200 ◽  
Author(s):  
Chongshan Zhang ◽  
Abraham Kribus ◽  
Rami Ben-Zvi
Keyword(s):  
Heat Sinks ◽  
Radiative Properties ◽  
Small Scale ◽  
Plant Canopies ◽  
Cylinder Array ◽  
Anisotropic Problems ◽  
Fibrous Insulation ◽  
Full Solution ◽  
Energy Absorbers ◽  
Radiative Interaction

Fully anisotropic problems are found where the radiative interaction is due to small-scale elements that lack spherical symmetry, for example: fibrous insulation, finned heat sinks, plant canopies, and some solar energy absorbers. We present the effective bulk optical properties of a PM composed of small-scale opaque cylinders. The properties are derived from data generated by detailed Monte-Carlo numerical experiments. The data reduction procedure is relatively simple and does not require a full solution and optimization of the Radiative Transfer Equation. Benchmark cases are presented, comparing an exact solution (with geometric detail of the cylinder array) and an approximate solution using a continuous PM model with the effective volumetric properties.

Fluid Flow and Heat Transfer of Liquid Sodium in Small-Scale Heat Sinks With Different Geometries

2021 ◽  
Author(s):  
Mahyar Pourghasemi ◽  
Nima Fathi
Keyword(s):  
Heat Transfer ◽  
Reynolds Number ◽  
Cross Sections ◽  
Heat Sink ◽  
Volume Ratio ◽  
Heat Sinks ◽  
Liquid Sodium ◽  
Small Scale ◽  
Nusselt Numbers ◽  
The Difference

Abstract 3-D numerical simulations are performed to investigate liquid sodium (Na) flow and the heat transfer within miniature heat sinks with different geometries and hydraulic diameters of less than 5 mm. Two different straight small-scale heat sinks with rectangular and triangular cross-sections are studied in the laminar flow with the Reynolds number up to 1900. The local and average Nusselt numbers are obtained and compared against eachother. At the same surface area to volume ratio, rectangular minichannel heat sink leads to almost 280% higher convective heat transfer rate in comparison with triangular heat sink. It is observed that the difference between thermal efficiencies of rectangular and triangular minichannel heat sinks was independent of flow Reynolds number.

High Power CPU Cooling Experiment

1995 ◽  
Author(s):  
Elizabeth B. Nadworny ◽  
T. Gary Yip ◽  
Nader Farag
Keyword(s):  
Heat Transfer ◽  
High Power ◽  
Power Dissipation ◽  
Heat Removal ◽  
Data Acquisition System ◽  
Heat Sinks ◽  
Small Scale ◽  
Heat Transfer Area ◽  
Pin Fin ◽  
Transfer Parameters

Abstract This experimental study focuses on the enhancement of the heat removal process by modifying the geometry of pin fin heat sinks, while maintaining the same effective heat transfer area. The pins are cut at an angle to reduce the blockage of air flow across the surface. To perform this study, a small scale wind tunnel facility has been designed specifically for testing high power dissipation processors and other ULSI components. The facility is fully automated and controlled by an HP3852A Data Acquisition System interfaced with a 486 based PC computer. The average surface temperature, Reynolds number, Nusselt number and other relevant heat transfer parameters were reduced from the data collected. Results from the study show that a heat sink with an angled trailing edge produces the greatest enhancement of heat removal. The mechanism for the improved heat transfer is the larger temperature gradient across the surface, which is obtained by lowering the minimum temperature on the surface.

scholarly journals Remote sensing of cloud droplet radius profiles using solar reflectance from cloud sides – Part 1: Retrieval development and characterization

2019 ◽  
Vol 12 (2) ◽  
pp. 1183-1206 ◽  
Author(s):  
Florian Ewald ◽  
Tobias Zinner ◽  
Tobias Kölling ◽  
Bernhard Mayer
Keyword(s):  
Remote Sensing ◽  
Solar Radiation ◽  
Droplet Size ◽  
Cloud Droplet ◽  
Effective Radius ◽  
Radiative Properties ◽  
Trade Wind ◽  
Small Scale ◽  
Passive Remote Sensing ◽  
Remote Sensing Techniques

Abstract. Convective clouds play an essential role for Earth's climate as well as for regional weather events since they have a large influence on the radiation budget and the water cycle. In particular, cloud albedo and the formation of precipitation are influenced by aerosol particles within clouds. In order to improve the understanding of processes from aerosol activation, from cloud droplet growth to changes in cloud radiative properties, remote sensing techniques become more and more important. While passive retrievals for spaceborne observations have become sophisticated and commonplace for inferring cloud optical thickness and droplet size from cloud tops, profiles of droplet size have remained largely uncharted territory for passive remote sensing. In principle they could be derived from observations of cloud sides, but faced with the small-scale heterogeneity of cloud sides, “classical” passive remote sensing techniques are rendered inappropriate. In this work the feasibility is demonstrated to gain new insights into the vertical evolution of cloud droplet effective radius by using reflected solar radiation from cloud sides. Central aspect of this work on its path to a working cloud side retrieval is the analysis of the impact unknown cloud surface geometry has on effective radius retrievals. This study examines the sensitivity of reflected solar radiation to cloud droplet size, using extensive 3-D radiative transfer calculations on the basis of realistic droplet size resolving cloud simulations. Furthermore, it explores a further technique to resolve ambiguities caused by illumination and cloud geometry by considering the surroundings of each pixel. Based on these findings, a statistical approach is used to provide an effective radius retrieval. This statistical effective radius retrieval is focused on the liquid part of convective water clouds, e.g., cumulus mediocris, cumulus congestus, and trade-wind cumulus, which exhibit well-developed cloud sides. Finally, the developed retrieval is tested using known and unknown cloud side scenes to analyze its performance.

scholarly journals Increasing the efficiency of a Peltier device by assessing the thermal performance of liquid-cooled microchannel heat sinks

2020 ◽  
Vol 7 ◽  
Author(s):  
System Administrator ◽  
Lauren Sharpe ◽  
Navil Burhanuddin ◽  
Tiana Majcan ◽  
Jonathan Rebolledo
Keyword(s):  
Energy Consumption ◽  
Meta Analysis ◽  
Heat Sinks ◽  
Peltier Effect ◽  
Small Scale ◽  
Specific Flow ◽  
Operating Current ◽  
Promising Solution ◽  
Peltier Device ◽  
Vital Resource

Water is, arguably, Earth's most valuable and vital resource. Devices that extract water from the atmosphere have been intensely researched as a means of harvesting potable water in environments where it is otherwise scarce. One such device is a Thermoelectric Cooler (TEC); a device that utilises the Peltier effect to cool a system. TECs are a promising solution for atmospheric water generation (AWG) over their competitors due to their simplicity and refrigeration capabilities. Despite these advantages, TECs are still considered mostly inefficient as they demand relatively high costs and energy consumption. This meta-analysis focuses on optimising the efficiency of small-scale Peltier devices. It explores the means of optimising the liquid cooled heat sink by using a specific flow field microchannel configuration such that less pumping power is required to push the coolant and more energy can be saved. A combination of optimal operating current of the Peltier device and of a novel flow liquid-cooled microchannel heatsink configuration with bifurcated fins using Galinstan as a coolant promises a significant increase in water production per unit of energy consumption for the AWG system.

scholarly journals Deposition of brown carbon onto snow: changes in snow optical and radiative properties

2020 ◽  
Vol 20 (10) ◽  
pp. 6095-6114 ◽  
Author(s):  
Nicholas D. Beres ◽  
Deep Sengupta ◽  
Vera Samburova ◽  
Andrey Y. Khlystov ◽  
Hans Moosmüller
Keyword(s):  
Optical Properties ◽  
Organic Carbon ◽  
Total Organic Carbon ◽  
Radiative Forcing ◽  
Radiative Properties ◽  
Unit Mass ◽  
Small Scale ◽  
Snow Surface ◽  
Brown Carbon ◽  
Snow Albedo

Abstract. Light-absorbing organic carbon aerosol – colloquially known as brown carbon (BrC) – is emitted from combustion processes and has a brownish or yellowish visual appearance, caused by enhanced light absorption at shorter visible and ultraviolet wavelengths (0.3 µm≲λ≲0.5 µm). Recently, optical properties of atmospheric BrC aerosols have become the topic of intense research, but little is known about how BrC deposition onto snow surfaces affects the spectral snow albedo, which can alter the resulting radiative forcing and in-snow photochemistry. Wildland fires in close proximity to the cryosphere, such as peatland fires that emit large quantities of BrC, are becoming more common at high latitudes, potentially affecting nearby snow and ice surfaces. In this study, we describe the artificial deposition of BrC aerosol with known optical, chemical, and physical properties onto the snow surface, and we monitor its spectral radiative impact and compare it directly to modeled values. First, using small-scale combustion of Alaskan peat, BrC aerosols were artificially deposited onto the snow surface. UV–Vis absorbance and total organic carbon (TOC) concentration of snow samples were measured for samples with and without artificial BrC deposition. These measurements were used to first derive a BrC (mass) specific absorption (m2 g−1) across the UV–Vis spectral range. We then estimate the imaginary part of the refractive index of deposited BrC aerosol using a volume mixing rule. Single-particle optical properties were calculated using Mie theory, and these values were used to show that the measured spectral snow albedo of snow with deposited BrC was in general agreement with modeled spectral snow albedo using calculated BrC optical properties. The instantaneous radiative forcing per unit mass of total organic carbon deposited to the ambient snowpack was found to be 1.23 (+0.14/-0.11) W m−2 per part per million (ppm). We estimate the same deposition onto a pure snowpack without light-absorbing impurities would have resulted in an instantaneous radiative forcing per unit mass of 2.68 (+0.27/-0.22) W m−2 per ppm of BrC deposited.

scholarly journals Comparison of Models for Heat Transfer in High-Density Fibrous Insulation

2019 ◽  
Vol 124 ◽  
Author(s):  
Sergio A. Carvajal ◽  
Edward J. Garboczi ◽  
Robert R. Zarr
Keyword(s):  
Heat Transfer ◽  
Radiative Heat ◽  
Radiative Properties ◽  
Diameter Distribution ◽  
X Ray Computed ◽  
Fibrous Insulation ◽  
Predicted Values ◽  
Effects Of Radiation ◽  
Semi Empirical ◽  
Certified Values

This study evaluated different models for calculating the effective thermal conductivity of fibrous insulation by comparing predicted values with certified values of Standard Reference Material 1450c, Fibrous Glass Board. This comparison involved the coupled effects of radiation and conduction heat transfer. To support these comparisons, the fiber diameter distribution was measured using X-ray computed tomography, and this distribution was used in several heat transfer models considered in this paper. For the evaluation of the radiative heat transfer, the diffusion approximation, the Schuster-Schwarzschild approximation, and the Milne-Eddington approximation were considered. The conduction of the gas and the fibers was treated by the kinetic theory and a semi-empirical model, respectively. Two models were considered for the evaluation of the radiative properties: the large specular reflecting approach and the application of Mie theory for media composed of infinite cylinders.

Spectral emission of flames from laboratory-scale vegetation fires

2009 ◽  
Vol 18 (7) ◽  
pp. 875 ◽  
Author(s):  
P. Boulet ◽  
G. Parent ◽  
A. Collin ◽  
Z. Acem ◽  
B. Porterie ◽  
...  
Keyword(s):  
Background Radiation ◽  
Reference Signal ◽  
Emission Spectra ◽  
Combustion Products ◽  
Infrared Emission ◽  
Laboratory Scale ◽  
Radiative Properties ◽  
Small Scale ◽  
Radiation Emission ◽  
Vegetation Fires

Outdoor experiments were conducted on a laboratory scale to study the infrared radiation emission of vegetation flames. Measurements were made in the spectral range 1000–4500 cm–1, using a compact and portable Fourier-transform infrared spectrometer including an HgCdTe/InSb dual detector. Flame emission was compared with the reference signal emitted by a blackbody surface at 1000 K. We carried out two different series of fire experiments: a series of fires in a 0.45 m-diameter steel tray and a series of wind-tunnel fires. Various types of wildland fuels were used: wood wool, vine branches, dry wood, and Kermes oak branches. From a qualitative observation of emission spectra, it appears that the main contribution comes from the hot gaseous combustion products, with a low-intensity background radiation from soot, as the small-scale flames in these experiments were optically thin. It was also found that, in the flaming combustion zone of the fuel bed, both phases contribute to infrared emission. Our results, in combination with existing data on the absorptivity of vegetation, give a better understanding of radiative transfer in vegetation fires and show how total radiative properties could be deduced from spectral measurements. We believe that this preliminary study provides pilot data for future studies in this area.

Predicting the Optical Properties of Arbitrarily Shaped Black Carbon Aerosols with Graph Neural Networks

2021 ◽  
Author(s):  
Kara D. Lamb ◽  
Pierre Gentine
Keyword(s):  
Remote Sensing ◽  
Optical Properties ◽  
Black Carbon ◽  
Radiative Forcing ◽  
Training Data ◽  
Radiative Properties ◽  
Training Dataset ◽  
Small Scale ◽  
Atmospheric Models ◽  
Fractal Aggregates

<p>Aerosols sourced from combustion such as black carbon (BC) are important short-lived climate forcers whose direct radiative forcing and atmospheric lifetime depend on their morphology. These aerosols are typically fractal aggregates consisting of ~20-80 nm spheres. This complex morphology makes modeling their optical properties difficult, contributing to uncertainty in both their direct and indirect climate effects. Accurate and fast calculations of BC optical properties are needed for remote sensing inversions and for radiative forcing calculations in atmospheric models, but current methods to accurately calculate the optical properties of these aerosols such as the multi-sphere T-matrix method or generalized multiple-particle Mie Theory are computationally expensive and must be compiled in extensive data-bases off-line and then used as a look-up table. Recent advances in machine learning approaches have applied the graph convolutional neural network (GCN) to various physical science applications, demonstrating skill in generalizing beyond initial training data by exploiting and learning internal properties and interactions inherent to the larger system. Here we demonstrate for the first time that a GCN trained to predict the optical properties of numerically-generated BC fractal aggregates can accurately generalize to arbitrarily shaped aerosol particles, even over much larger aggregates than in the training dataset, providing a fast and accurate method to calculate aerosol optical properties in atmospheric models and for observational retrievals. This approach could be integrated into atmospheric models or remote sensing inversions to more realistically predict the physical properties of arbitrarily-shaped aerosol and cloud particles. In addition, GCN’s can be used to gain physical intuition on the relationship between large-scale properties (here of the radiative properties of aerosols) and small-scale interactions (here of the spheres’ positions and their interactions).</p>

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