By Uche Ozi

In this conversation with Seyi Oluwadare, a researcher pushing the boundaries of wind turbine performance—blending classical aerodynamics, computational fluid dynamics (CFD), and lessons learned from earlier heat-transfer work on cooling channels.

The result: smarter blades, quieter rotors, and turbines that squeeze more clean energy out of the same wind. From ducted wind turbines to multiscale cooling channels, a young researcher is stitching together aerodynamics and heat transfer to push renewable power further, faster.

For readers meeting you for the first time, who is Seyi Oluwadare in a sentence or two?

I’m a mechanical engineering researcher at Clarkson University working at the intersection of wind turbine aerodynamics and advanced heat-transfer for clean-energy systems. In addition, I look forward to consolidating my research in smart manufacturing during my doctoral program.

Where did you grow up, and what early experiences nudged you toward engineering?

I grew up in Nigeria and trained as a mechanical engineer there before moving to the U.S. for graduate research. Early hands-on projects and power-plant internships pulled me toward energy systems.

What do you do right now—your role, group, and the core problems you’re focused on?

I’m a research assistant at Clarkson, focusing on computational fluid dynamics studies and design of rotary device, especially rotor–diffuser coupling that is found in ducted wind turbine or ducted marine turbine.

Seyi, your path weaves through wind turbine aerodynamics and advanced cooling for energy systems. What unifies your research?

I’m interested in how flow—air or coolant—carries energy, momentum, and heat through complex geometries. Whether I’m simulating a ducted wind turbine or optimizing microchannel heat channel, the core challenge is the same: shape the flow to extract or remove energy efficiently with minimal losses.

Let’s start with wind. You’ve been simulating rotor flows for ducted turbines and working on rotor and diffuser optimization. What problem are you trying to solve?

Traditional open-rotor turbines are constrained by how much velocity gain they can create across the rotor disk. By integrating a carefully contoured duct and diffuser, we can expand and accelerate the flow downstream, reducing pressure at the rotor and boosting mass flow through the blades. My simulations focus on the rotor–duct–diffuser coupling: how small geometric tweaks alter pressure recovery, separation behavior, and ultimately power coefficient. The goal is robust performance across realistic inflow conditions such as yaw, shear, turbulence; without sacrificing structural practicality.

When you say “carefully contoured,” what design levers matter most?

Diffuser expansion ratio and length-to-diameter are obvious levers, but the devil is in the details: leading-edge radius, throat placement relative to the rotor plane, and gentle pressure gradients that delay separation. I pay special attention to boundary-layer development on the inner duct surface. Even a small patch of separated flow can wipe out gains from an otherwise promising geometry. In the simulations, we trade peak performance for stability—geometries that tolerate off-design incidence and turbulence intensity.

What tools and methods are you using to get that fidelity?

High-resolution CFD with turbulence modeling appropriate to adverse-pressure-gradient flows and rotating frames. I’ve used ANSYS Fluent and Simerics MP+ extensively, coupled with mesh strategies that refine through the rotor plane and along the diffuser wall. The key is consistency: mesh independence, careful time stepping for unsteady rotor–wake interactions, and validation checks on integral quantities like thrust and torque. I also re-run cases at perturbed inflow angles to understand how sensitive each design is to atmospheric variability.

Before wind, your master’s work tackled multiscale cooling channels with internal heat generation. What sparked that direction?

Power-dense systems, from inverters to compact heat exchangers, struggle with hotspots. I studied elliptical microchannels and other multiscale topologies that tailor local shear and thermal boundary layers. The idea was to distribute coolant in a way that matches the spatial map of heat generation, not just average it out. Shapes like M-like networks or diamond-hole features help refresh the thermal boundary layer and suppress entropy generation. That reduces pumping power for a given cooling target that is vital for any energy system aiming to operate efficiently.

What did you learn about the geometry–physics handshake in those channels?

Two things. First, curvature and aspect ratio tune the competition between pressure drop and heat transfer: elliptical ducts can produce higher Nusselt numbers with manageable friction factors if you keep secondary flows under control. Second, multiscale branching can re-energize local heat transfer, periodically thinning the thermal boundary layer and without resorting to overly rough surfaces that cost a lot in pumping power. The best designs exploit gentle three-dimensionality to guide coolant where it’s needed most.

How do these cooling insights feed back into clean energy technology?

Renewable systems increasingly rely on compact power electronics and generators. Better thermal management means higher reliability and longer life, fewer derating events under peak load and better resilience during transients. In wind energy specifically, components like nacelle electronics, generators, and even blade-integrated sensors benefit from tailored cooling strategies. The broader payoff is systems that stay efficient across real operating cycles, not just at a single design point.

Your background includes industry experience in fiber networks and power plant operations. Has that shaped your research approach?

Seyi: Absolutely. Working in data networks sharpened my intuition for throughput, bottlenecks, and reliability—concepts that translate directly to fluid networks. Experience in gas power operations exposed me to the practical side of turbines—vibration, maintenance, heat exchanger fouling. It’s one thing to optimize a geometry on a workstation; it’s another to keep a machine running in the field. That reality check keeps my simulations grounded in manufacturability and serviceability.

Give us a snapshot of a recent result you’re proud of

In rotor-diffuser studies, we identified a diffuser design that trades a few percent of peak power for a significant expansion of the attached-flow. That translates into more consistent energy capture over a full wind-rose distribution. On the cooling side, a multiscale channel arrangement reduced peak temperature non-uniformity while holding pumping power essentially flat, showing you don’t have to “pay” heavily in pressure drop to tame hotspots.

You’ve also published on entropy generation in microchannel heat sinks and on unconventional hole patterns. Why focus on entropy?

Entropy generation is a unifying metric. It captures both thermal irreversibility and viscous dissipation, so you can rank designs by how fundamentally “wasteful” they are. When you minimize entropy generation, you often find sweet spots where heat transfer is high but the flow isn’t punished by excessive friction losses. That balance is the essence of sustainable thermal management.

For students eyeing this field, what skills matter most?

A solid base in fluid mechanics and heat transfer, of course, but also disciplined simulation practice—mesh topology, boundary conditions, convergence criteria, and validation mindset. Tool-wise, competence in platforms like ANSYS Fluent, Simerics MP+, OpenFOAM or similar CFD codes, plus scripting for pre/post-processing, pays off quickly. And don’t neglect communication: your best ideas only matter if you can explain them to designers, operators, and decision-makers.

What’s next?

Two tracks. On the wind side, I’m extending the rotor–duct studies to account for atmospheric boundary layer features like shear and turbulence spectra, then connecting findings to site-specific performance maps, looking to apply my methods to hydro turbine someday. On the thermal side, I’m pushing multiscale channel concepts toward manufacturable layouts that integrate smoothly with real packaging constraints. The common thread remains: engineering flow paths that deliver stable, efficient energy conversion.