Rafael Valotta Rodrigues
Biography
I am the PI of the "Wind Energy Lab" at UMass Boston, which is an industry-oriented multidisciplinary research group. My mission is to leverage the next generation of wind energy systems. In my research, I focus on wind farms flow physics across multi-fidelities, design, and multidisciplinary optimization. Before joining UMass Boston, I spent 3 years working as Researcher in the Systems Engineering and Optimization, Wind and Energy Systems Department, Technical University of Denmark (DTU). During that time, I had the opportunity to work in multiple R&D in collaboration with wind energy companies that are leaders worldwide. Additionally, I have a Postdoctoral in Mechanical Engineering at Syracuse University.
I complete my academic background with a PhD in Mechanical Engineering, a R1 university in Denver, Colorado (USA). Before than that, I did my undergrad in Mechanical Engineering at the University of Campinas, which is the top-2 among all Brazilian universities and the top-1 South American research institution. At the same university, I did an industrial Master in Agricultural Engineering, focusing on deploying and simulating a small hybrid solar-wind power system at the University of Campinas.
Area of Expertise
- Multidisciplinary Optimization
- Wind Farms Wakes: Numerical Modeling
- AI for Wind Energy
- Computational Fluid Dynamics
- Complex Fluid Systems
- Cavitation in Biofluids
Degrees
- PhD in Mechanical Engineering (University of Denver)
- MSc in Agricultural Engineering (University of Campinas)
- Bachelor in Mechanical Engineering (University of Campinas)
Professional Publications & Contributions
- Valotta Rodrigues, R., Pedersen, M. M., Schøler, J. P., Quick, J., & Réthoré, P. E. (2024). Speeding up large-wind-farm layout optimization using gradients, parallelization, and a heuristic algorithm for the initial layout. Wind Energy Science, 9(2), 321-341.
- Risco, J. C., Rodrigues, R. V., Friis-Møller, M., Quick, J., Pedersen, M. M., & Réthoré, P. E. (2024). Gradient-based wind farm layout optimization with inclusion and exclusion zones. Wind Energy Science, 9(3), 585-600.
- Quick, J., Rethore, P. E., Pedersen, M. M., Rodrigues, R. V., & Friis-Moller, M. (2023). Stochastic gradient descent for wind farm optimization. Wind Energy Science, 8(8), 1235-1250.
- Ciavarra, A. W., Rodrigues, R. V., Dykes, K., & Réthoré, P. E. (2022, May). Wind farm optimization with multiple hub heights using gradient-based methods. In Journal of Physics: Conference Series (Vol. 2265, No. 2, p. 022012). IOP Publishing.
- Rodrigues, R. V., Friis-Møller, M., Dykes, K., Pollini, N., & Jensen, M. (2022, May). A surrogate model of offshore wind farm annual energy production to support financial evaluation. In Journal of Physics: Conference Series (Vol. 2265, No. 2, p. 022003). IOP Publishing.
- Valotta Rodrigues, R., Puryear, M., Sederstrom, D., & Lengsfeld, C. S. (2019). Parameters influencing cavitation within vials subjected to drop shock. Scientific Reports, 9(1), 19210.
- Rodrigues, R. V., & Lengsfeld, C. (2019). Development of a computational system to improve wind farm layout, Part I: Model validation and near wake analysis. Energies, 12(5), 940.
- Rodrigues, R. V., & Lengsfeld, C. (2019). Development of a computational system to improve wind farm layout, part ii: Wind turbine wakes interaction. Energies, 12(7), 1328.
Additional Information
GitHub:
https://github.com/rafaelvalotta
Twitter:
Linkedin:
https://www.linkedin.com/in/rafael-valotta-rodrigues-73b7628a
Wind Energy Lab Website: