Marielle de Oliveira
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
ISC Floor 02