Xiuling Wang

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A multiscale modeling project for wind energy assessment in central Nevada has been conducted. The PSU/NCAR fifth-generation Mesoscale Model (MM5) was used in conjunction with an h-adaptive finite element model and local tower data for a 1-year cycle for the central region. The MM5 results and the local tower data are used as input into the microscale(More)
A cost-effective numerical model has been developed which employs hp-adaptive finite elements to construct velocity fields and Lagrangian particles to predict contaminant dispersion patterns. The adaptive finite element method is based on both mesh enrichment (h-adaptation) and spectral order incensement (p-adaptation). The use of Lagrangian particles(More)
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