UMass Boston

Biography

Marielle de Oliveira is an Aerospace Engineer from the Federal University of Santa Catarina, with a Ph.D. in Mechanical Engineering from the University of São Paulo, including a sandwich period at the University of Tokyo. She is currently an Assistant Professor at the University of Massachusetts Boston, School for the Environment, where she develops research in offshore wind and clean energy.

Area of Expertise
  • Ample experience in Computational Fluid Dynamics and High Performance Computing using the Finite Volume Method, with emphasis on turbulence modeling in near-wall regions and high Reynolds number flows.
  • Conducted Blade-resolved simulations of offshore wind turbines and wakes using OpenFOAM, including comparisons with OpenFAST and studies on solver configuration and discretization strategies.
  • Offshore wind systems and ocean energy applications, including floating platforms, oscillating water columns, and tidal energy benchmarking.
  • Multiphysics modeling for clean energy processes, including gas-liquid separation and reactor design for CO2 to methanol pilot concepts.
  • Strong background in fluid mechanics, aerodynamics, compressible flows, boundary layer theory, and flight mechanics, applied to energy and environmental problems.

Degrees

PhD, Mechanical Engineering, University of São Paulo

PhD (sandwich period), Mechanical Engineering, University of Tokyo

BSc, Aerospace Engineering, Federal University of Santa Catarina

BSc, Science and Technology, Federal University of Santa Catarina

Professional Publications & Contributions

Since 2022

1. Oliveira, M. ; Puraca, R. C. ; Carmo, B. S. A study of the influence of the numeri-

cal scheme in the accuracy of blade-resolved simulations employed to evaluate the

performance of the NREL 5 MW wind turbine rotor in full scale. Energy, 2023.

2. Silva, LSP; Pesce, CP; de Oliveira, M; Cazzolato, B; Segiienko, N; Ding, B . Stochastic analysis

of the nonlinear dynamics of oscillating water columns: a frequency domain approach.

Applied Ocean Research, 2023.

3. Oliveira, M. ; Puraca, R. C. ; Carmo, B. S. Blade-resolved numerical simulations of the

NREL offshore 5-MW baseline wind turbine in full scale: A study of proper solver

configuration and discretization strategies. Energy, 2022.

4. Silva, LSP; de Oliveira, M; Cazzolato, B; Sergiienko, N; Amaral, GA; Ding, B. Statistical

Linearisation of a Nonlinear Floating Offshore Wind Turbine under Random Waves

 

and Winds. Ocean Engineering, 2022.

5. de Oliveira, M; Silva, LSP; Puraca, R; Carmo, B. CFD investigation of the IEA offshore

15 MW reference wind turbine performance in full scale: A temporal discretization

analysis. In: Proceedings of the ASME 2023 International Conference on Ocean, & Offshore and

Artic Engineering, (OMAE2023), Melbourne, Australia, 2023.

6. de Oliveira, M; Silva, LSP; Carmo, B; Gon¸calves, RT. Temporal discretization investigation

of the unsteady loading on a low aspect ratio cylinder in high Reynolds numbers using

DES. In: Proceedings of the ASME 2023 International Conference on Ocean, & Offshore and Artic

Engineering, (OMAE2023), Melbourne, Australia, 2023.

7. Silva, LSP; Sergiienko, N; Cazzolato, B; Meng, F; de Oliveira, M; Ding, B. Motion suppression

of a floating offshore wind turbine using heaving point absorbers: A case study in

Australia. In: Proceedings of the ASME 2023 International Conference on Ocean, & Offshore

and Artic Engineering, (OMAE2023), Melbourne, Australia, 2023.

8. Richard Willden et al.; Tidal Turbine Benchmarking Project: Stage I - Steady Flow

Blind Predictions. Proceedings of the European Wave and Tidal Energy Conference, 2023.

9. Oliveira, M. ; Puraca, R. C. ; Carmo, B. S. Assessment of turbulence models for the

simulation of the flow through a megawatt scale wind turbine rotor. 13th Spring School

on Transition and Turbulence, 2022.

 

Additional Information

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