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Industrial partnerships

NYCCS Industrial Partnerships

The focus of NYCCS is to assist industry in the Long Island region, New York City and in New York State in the utilization of  high performance computing to gain a significant competitive edge in terms of product development and data management that translates into job creation, cost savings and job retention. Here are examples of partnerships between NYCCS and industry.

GE Global Research

Simulation methodologies for wind turbine noise prediction

Aerodynamic noise from turbomachines and wind turbines is a source of annoyance and limits the operations of these machines. The primary source of noise from these machines is due to flow turbulence and the interaction of turbulence with blades. This source is poorly understood and simple models that attempt to predict noise generation from these interactions are inaccurate. This project uses Large Eddy Simulation (LES) methodology to numerically compute the details of flow physics that occur during such interactions.


High performance computing solutions for faster, more robust control of electric transmission systems  

Increased electricity demands and sources of instability are challenges that require faster and more robust control of transmission systems. Emerging Smart Grid technologies, including the deployment of telecommunication networks and new generation sensors, will provide large amounts of data for control decisions. The goal of this project is to study the utilization of advanced numerical algorithms and high performance computing to solve power-flow, state-estimation, and system-stability control problems for the New York State transmission grid. The project is investigating how these problems can be solved 10 to 100 times faster than solution times achieved using current control system implementations.


Analyzing LIPA's electrical grids to make operations more cost effective

In an effort to make operation of LIPA’s electrical grids more cost effective, two General Electric computer codes codes called MAPS and MARS are being run on NYCCS hardware. GE Energy's MARS code accurately assess the reliability of electric generation systems comprised of any number of interconnected areas (i.e., ties to neighboring systems that provide reserves needed for reliability). It obtains a series of snapshots of the system through hourly random queries of generating units and transmission links and determining the hourly load demand. MAPS is the GE Multi-Area Production Simulation software, a chronological simulation model that calculates hour-by-hour production costs while considering the constraints on generation dispatch imposed by transmission bottlenecks.