Prediction of the radiative properties of surfaces covered with particulate deposits
Creators
- 1. School of Energy and Power Engineering, Nanjing University of Science & Technology, Nanjing 210094 (China)
- 2. College of Energy and Power Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016 (China)
Description
The heterogeneous particulate deposit has a significant impact on the radiative properties of surfaces. It is necessary to establish a physical model to describe the apparent spectral absorptance of surfaces covered with heterogeneous particulate deposits. In this paper, a general method combining the effective medium theory with the RTM-DRE (ray-tracing method based on the decomposition of radiation energy) method is presented to predict the apparent spectral absorptance of such surfaces. The effective optical constants of the inhomogeneous particles were determined by means of the effective medium theory, whereas the radiative properties of the surfaces were calculated by modeling the radiative transfer process based on the RTM-DRE method. Additionally, the experimental characterizations of the dust deposits were investigated to reveal the dust effect on the radiative properties of surfaces, and the experimental data and theoretical results were compared to validate the presented theoretical model. The mean relative errors lie within 11.0% of the solar band and 7.0% of the infrared waveband, which indicates the reliability of the theoretical model. Furthermore, the effect of the geometric structure parameters and material intrinsic properties on the radiative properties of the surfaces with heterogeneous particulate deposit was investigated based on the prediction model. Six main factors including the deposit thickness, particle size, bulk fraction, chemical compositions, H2O content, and substrate reflectance were considered. - Highlights: • A method for predicting the apparent radiative properties of surfaces with particulate deposit is proposed. • The effects of six main factors of the particulate deposits are respectively discussed. • Comparison between the numerical results and experimental data is conducted to validate the model.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.jqsrt.2017.04.001Additional details
Identifiers
- DOI
- 10.1016/j.jqsrt.2017.04.001;
- PII
- S0022-4073(17)30039-0;
Publishing Information
- Journal Title
- Journal of Quantitative Spectroscopy and Radiative Transfer
- Journal Volume
- 196
- Journal Page Range
- p. 112-122
- ISSN
- 0022-4073
- CODEN
- JQSRAE
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 49049443
- Subject category
- S73: NUCLEAR PHYSICS AND RADIATION PHYSICS;
- Resource subtype / Literary indicator
- Numerical Data
- Descriptors DEI
- CHEMICAL COMPOSITION; DEPOSITS; DUSTS; EXPERIMENTAL DATA; FORECASTING; PARTICLE SIZE; PARTICULATES; RADIANT HEAT TRANSFER; SIMULATION; SURFACES
- Descriptors DEC
- DATA; ENERGY TRANSFER; HEAT TRANSFER; INFORMATION; NUMERICAL DATA; PARTICLES; SIZE
Optional Information
- Copyright
- Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.