Dassault Systemes Simulia Corp.

University of Massachusetts

Spero Devices, Inc.

Blair Perot

Abbie Mathew

Jai Gupta

Nihar Athreyas

Kaustubh Rao

Shujaut Bader

Martin Sanchez Rocha

A wind turbine comprises a nacelle, a drive shaft extending from the nacelle along a shaft axis, a plurality of turbine blades coupled to the drive shaft and extending radially relative to the shaft axis, and a first static airfoil structure coupled to the wind turbine to influence airflow exiting the plurality of turbine blades. A method of increasing wind turbine efficiency in a wind farm comprises positioning a first wind turbine having a first plurality of turbine blades at least partially upstream of a second wind turbine having a second plurality of turbine blades, producing a wake field of exit air behind the first plurality of turbine blades, directing air outside of the wake field into the wake field to increase speed of airflow in the wake field, and directing the airflow into the second plurality of turbine blades of the second wind turbine.

Wind turbine airfoil structure for increasing wind farm efficiency

Embodiments of the present invention simulate a real-world system by first generating a time dependent system of equations that represents the real-world system where the time dependent system of equations has a defined constraint. Next, the constraint is de-coupled from the time-dependent system of equations using a matrix representing an approximation of physics of the real-world system, the de-coupling generating a first system of equations representing the constraint and a second system of equations representing physics of the real-world system. In turn, the generated first and second systems of equations are solved and the real-world system is automatically simulated by generating a simulation using results from solving the first and second systems of equations.

Optimal pressure-projection method for incompressible transient and steady-state navier-stokes equations

A method, according to an embodiment, provides a simulation of a physical real-world system, by first generating a system of equations that includes a discrete representation of the real-world system being simulated. Next, the real-world system is simulated. In simulating the system, a user specified tolerance of a solution of the system of equations is obtained. Then, the system of equations is iteratively solved until a solution to the system of equations for a given iteration is within the user specified tolerance of the solution of the system of equations for approximately infinite iterations. In such an embodiment, the solution to the system of equations for the given iteration is determined to be within the user specified tolerance using an experimentally determined constant, an estimate of a minimum eigenvalue of the system of equations for the given iteration, and a residual of the system of equations for the given iteration.

Convergence estimation of non-linear PDE and linear solvers

A co-processor is configured for performing vector matrix multiplication (VMM) to solve computational problems such as partial differential equations (PDEs). An analog Discrete Fourier Transform (DFT) can be implemented by invoking VMM of input signals with Fourier basis functions using analog crossbar arrays. Linear and non-linear PDEs can be solved by implementing spectral PDE solution methods as an alternative to massively discretized finite difference methods, while exploiting inherent parallelism realized through the crossbar arrays. The analog crossbar array can be implemented in CMOS and memristors or a hybrid solution including a combination of CMOS and memristors.

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Amherst, MA, United States of America

Blair Perot