Coupling mesoscale (WRF) to microscale simulations

2017 ◽  
Author(s):  
O. Temel ◽  
J.P.A.J. van Beeck
Keyword(s):  
Microscale Simulations

scholarly journals On Bridging A Modeling Scale Gap: Mesoscale to Microscale Coupling for Wind Energy

2019 ◽  
Vol 100 (12) ◽  
pp. 2533-2550 ◽  
Author(s):  
Sue Ellen Haupt ◽  
Branko Kosovic ◽  
William Shaw ◽  
Larry K. Berg ◽  
Matthew Churchfield ◽  
...  
Keyword(s):  
Wind Energy ◽  
Department Of Energy ◽  
Physical Models ◽  
Plant Performance ◽  
Coupled Modeling ◽  
Terra Incognita ◽  
Modeling Techniques ◽  
Microscale Simulations ◽  
The Impact ◽  
Nonstationary Conditions

Abstract Accurately representing flow across the mesoscale to the microscale is a persistent roadblock for completing realistic microscale simulations. The science challenges that must be addressed to coupling at these scales include the following: 1) What is necessary to capture the variability of the mesoscale flow, and how do we avoid generating spurious rolls within the terra incognita between the scales? 2) Which methods effectively couple the mesoscale to the microscale and capture the correct nonstationary features at the microscale? 3) What are the best methods to initialize turbulence at the microscale? 4) What is the best way to handle the surface-layer parameterizations consistently at the mesoscale and the microscale? 5) How do we assess the impact of improvements in each of these aspects and quantify the uncertainty in the simulations? The U.S. Department of Energy Mesoscale-to-Microscale-Coupling project seeks to develop, verify, and validate physical models and modeling techniques that bridge the most important atmospheric scales determining wind plant performance and reliability, which impacts many meteorological applications. The approach begins with choosing case days that are interesting for wind energy for which there are observational data for validation. The team has focused on modeling nonstationary conditions for both flat and complex terrain. This paper describes the approaches taken to answer the science challenges, culminating in recommendations for best approaches for coupled modeling.

Microscale Simulations of Porous TPS Materials: Ablating Microstructures and Micro-tomography

2015 ◽  
Author(s):  
Eric Stern ◽  
Ioannis Nompelis ◽  
Thomas E. Schwartzentruber ◽  
Graham V. Candler
Keyword(s):  
Micro Tomography ◽  
Microscale Simulations

Microscale Simulations of Porous TPS Materials: Application to Permeability

2014 ◽  
Author(s):  
Eric Stern ◽  
Ioannis Nompelis ◽  
Thomas E. Schwartzentruber ◽  
Graham V. Candler
Keyword(s):  
Microscale Simulations

Evaluation of the Impact of Horizontal Grid Spacing in Terra Incognita on Coupled Mesoscale–Microscale Simulations Using the WRF Framework

2019 ◽  
Vol 147 (3) ◽  
pp. 1007-1027 ◽  
Author(s):  
Raj K. Rai ◽  
Larry K. Berg ◽  
Branko Kosović ◽  
Sue Ellen Haupt ◽  
Jeffrey D. Mirocha ◽  
...  
Keyword(s):  
Spatial Scales ◽  
Wrf Model ◽  
Spectral Energy ◽  
Grid Spacing ◽  
Terra Incognita ◽  
Wide Range ◽  
Large Eddy ◽  
Microscale Simulations ◽  
The Impact ◽  
Horizontal Grid

Abstract Coupled mesoscale–microscale simulations are required to provide time-varying weather-dependent inflow and forcing for large-eddy simulations under general flow conditions. Such coupling necessarily spans a wide range of spatial scales (i.e., ~10 m to ~10 km). Herein, we use simulations that involve multiple nested domains with horizontal grid spacings in the terra incognita (i.e., km) that may affect simulated conditions in both the outer and inner domains. We examine the impact on simulated wind speed and turbulence associated with forcing provided by a terrain with grid spacing in the terra incognita. We perform a suite of simulations that use combinations of varying horizontal grid spacings and turbulence parameterization/modeling using the Weather Research and Forecasting (WRF) Model using a combination of planetary boundary layer (PBL) and large-eddy simulation subgrid-scale (LES-SGS) models. The results are analyzed in terms of spectral energy, turbulence kinetic energy, and proper orthogonal decomposition (POD) energy. The results show that the output from the microscale domain depends on the type of turbulence model (e.g., PBL or LES-SGS model) used for a given horizontal grid spacing but is independent of the horizontal grid spacing and turbulence modeling of the parent domain. Simulation using a single domain produced less POD energy in the first few modes compared to a coupled simulation (one-way nesting) for similar horizontal grid spacing, which highlights that coupled simulations are required to accurately pass the mesoscale features into the microscale domain.

scholarly journals Microscale simulations of shock interaction with large assembly of particles for developing point-particle models

2017 ◽  
Author(s):  
Siddharth Thakur ◽  
Chris Neal ◽  
Yash Mehta ◽  
Prasanth Sridharan ◽  
Thomas Jackson ◽  
...  
Keyword(s):  
Point Particle ◽  
Shock Interaction ◽  
Microscale Simulations

scholarly journals Comparing Macroscale and Microscale Simulations of Porous Battery Electrodes

2017 ◽  
Vol 164 (11) ◽  
pp. E3473-E3488 ◽  
Author(s):  
Kenneth Higa ◽  
Shao-Ling Wu ◽  
Dilworth Y. Parkinson ◽  
Yanbao Fu ◽  
Steven Ferreira ◽  
...  
Keyword(s):  
Microscale Simulations
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