skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Local-Scale Simulations of Nucleate Boiling on Micrometer Featured Surfaces: Preprint

Abstract

A high-fidelity computational fluid dynamics (CFD)-based model for bubble nucleation of the refrigerant HFE7100 on micrometer-featured surfaces is presented in this work. The single-fluid incompressible Navier-Stokes equations, along with energy transport and natural convection effects are solved on a featured surface resolved grid. An a priori cavity detection method is employed to convert raw profilometer data of a surface into well-defined cavities. The cavity information and surface morphology are represented in the CFD model by geometric mesh deformations. Surface morphology is observed to initiate buoyancy-driven convection in the liquid phase, which in turn results in faster nucleation of cavities. Simulations pertaining to a generic rough surface show a trend where smaller size cavities nucleate with higher wall superheat. This local-scale model will serve as a self-consistent connection to larger device scale continuum models where local feature representation is not possible.

Authors:
 [1];  [1]; ORCiD logo [1];  [2];  [2];  [2]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. Toyota Research Institute of North America
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
Toyota Research Institute of North America; USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1378440
Report Number(s):
NREL/CP-2C00-68294
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the ASME Summer Heat Transfer Conference, 9-14 July 2017, Bellevue, Washington
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; high fidelity; computational; fluid dynamics; CFD; incompressible Navier-Stokes; profilometer; surface morphology

Citation Formats

Sitaraman, Hariswaran, Moreno, Gilberto, Narumanchi, Sreekant V, Dede, Ercan M., Joshi, Shailesh N., and Zhou, Feng. Local-Scale Simulations of Nucleate Boiling on Micrometer Featured Surfaces: Preprint. United States: N. p., 2017. Web. doi:10.1115/HT2017-4710.
Sitaraman, Hariswaran, Moreno, Gilberto, Narumanchi, Sreekant V, Dede, Ercan M., Joshi, Shailesh N., & Zhou, Feng. Local-Scale Simulations of Nucleate Boiling on Micrometer Featured Surfaces: Preprint. United States. doi:10.1115/HT2017-4710.
Sitaraman, Hariswaran, Moreno, Gilberto, Narumanchi, Sreekant V, Dede, Ercan M., Joshi, Shailesh N., and Zhou, Feng. 2017. "Local-Scale Simulations of Nucleate Boiling on Micrometer Featured Surfaces: Preprint". United States. doi:10.1115/HT2017-4710. https://www.osti.gov/servlets/purl/1378440.
@article{osti_1378440,
title = {Local-Scale Simulations of Nucleate Boiling on Micrometer Featured Surfaces: Preprint},
author = {Sitaraman, Hariswaran and Moreno, Gilberto and Narumanchi, Sreekant V and Dede, Ercan M. and Joshi, Shailesh N. and Zhou, Feng},
abstractNote = {A high-fidelity computational fluid dynamics (CFD)-based model for bubble nucleation of the refrigerant HFE7100 on micrometer-featured surfaces is presented in this work. The single-fluid incompressible Navier-Stokes equations, along with energy transport and natural convection effects are solved on a featured surface resolved grid. An a priori cavity detection method is employed to convert raw profilometer data of a surface into well-defined cavities. The cavity information and surface morphology are represented in the CFD model by geometric mesh deformations. Surface morphology is observed to initiate buoyancy-driven convection in the liquid phase, which in turn results in faster nucleation of cavities. Simulations pertaining to a generic rough surface show a trend where smaller size cavities nucleate with higher wall superheat. This local-scale model will serve as a self-consistent connection to larger device scale continuum models where local feature representation is not possible.},
doi = {10.1115/HT2017-4710},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2017,
month = 8
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • A high-fidelity computational fluid dynamics (CFD)-based model for bubble nucleation of the refrigerant HFE7100 on micrometer-featured surfaces is presented in this work. The single-fluid incompressible Navier-Stokes equations, along with energy transport and natural convection effects are solved on a featured surface resolved grid. An a priori cavity detection method is employed to convert raw profilometer data of a surface into well-defined cavities. The cavity information and surface morphology are represented in the CFD model by geometric mesh deformations. Surface morphology is observed to initiate buoyancy-driven convection in the liquid phase, which in turn results in faster nucleation of cavities. Simulationsmore » pertaining to a generic rough surface show a trend where smaller size cavities nucleate with higher wall superheat. This local-scale model will serve as a self-consistent connection to larger device scale continuum models where local feature representation is not possible.« less
  • Transposition models have been widely used in the solar energy industry to simulate solar radiation on inclined PV panels. Following numerous studies comparing the performance of transposition models, this paper aims to understand the quantitative uncertainty in the state-of-the-art transposition models and the sources leading to the uncertainty. Our results suggest that an isotropic transposition model developed by Badescu substantially underestimates diffuse plane-of-array (POA) irradiances when diffuse radiation is perfectly isotropic. In the empirical transposition models, the selection of empirical coefficients and land surface albedo can both result in uncertainty in the output. This study can be used as amore » guide for future development of physics-based transposition models.« less
  • Departure from nucleate boiling (DNB) correlations have historically been empirical relationships used to interpolate and smooth measured data. The correlations generally used a number of fitted parameters and had limited reliability for extrapolation. In this paper, a phenomenological DNB correlation for the forced convection, subcooled, and low-quality region is used to correlate subchannel DNB measurements for tube and annuli to improve the understanding of the trends in the DNB phenomena and to reduce the effect of individual outlying measurements. Other advantages of the phenomenological method, besides reducing the number of fitted parameters to one, were to reduce the standard deviationmore » of measured data about the DNB correlation prediction and to have a basis for filling in gaps in the previously measured data. By this approach, the DNB correlation has served to improve the implementation of DNB measurements for their intended purpose.« less
  • Data sizes are becoming a critical issue particularly for HPC applications. We have developed a user-driven lossy wavelet-based storage model to facilitate the analysis and visualization of large-scale wind turbine array simulations. The model stores data as heterogeneous blocks of wavelet coefficients, providing high-fidelity access to user-defined data regions believed the most salient, while providing lower-fidelity access to less salient regions on a block-by-block basis. In practice, by retaining the wavelet coefficients as a function of feature saliency, we have seen data reductions in excess of 94 percent, while retaining lossless information in the turbine-wake regions most critical to analysismore » and providing enough (low-fidelity) contextual information in the upper atmosphere to track incoming coherent turbulent structures. Our contextual wavelet compression approach has allowed us to deliver interactive visual analysis while providing the user control over where data loss, and thus reduction in accuracy, in the analysis occurs. We argue this reduced but contexualized representation is a valid approach and encourages contextual data management.« less