OpenFAST
OpenFAST is an open source wind turbine simulation tool developed by the National Renewable Energy Laboratory (NREL). It builds upon the FAST v8 code, integrating aerodynamics, hydrodynamics, control systems, and structural dynamics to enable comprehensive, coupled nonlinear aero-hydro-servo-elastic time-domain simulations of wind turbines. OpenFAST supports various configurations, including land-based, fixed-bottom offshore, and floating offshore turbines. The platform aims to foster an open source developer community across research laboratories, industry, and academia, providing a robust software engineering framework with well-documented source code, automated testing, and a multi-platform build system. Key organizational changes from FAST v8.16 to OpenFAST include the establishment of a new GitHub repository consolidating glue codes, modules, and compiling tools; updated version numbering; and the introduction of unit testing at the subroutine level.
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Turbine
Say hello to Turbine and goodbye to tedious paperwork.
Turbine makes it easy for staff to create purchase order requests, expense claims and time-off requests. It simplifies and streamlines approvals and reporting so that you can take control of your business's costs.
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Openwind
Openwind is an advanced wind farm design and optimization software developed by UL Solutions, utilized throughout a wind project's development to create optimal turbine layouts that maximize energy production, minimize energy losses, account for plant development costs, and generate overall project efficiencies. The software enables users to optimize layouts and turbine positions to minimize the cost of energy, considering factors such as energy production, operations and maintenance costs, and capital expenditures, including turbine and plant development costs. Openwind incorporates leading-edge wake models, including the Deep Array Wake Model (DAWM), which considers dynamic interactions between turbines and the atmospheric boundary layer, allowing wakes to vary with turbulence intensity and stability. The platform also offers time-series energy capture capabilities, allowing for detailed analysis of energy production over time.
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WindESCo
WindESCo offers advanced solutions to enhance wind turbine performance and reliability through two primary products, Pulse and Swarm. Pulse is an AI and machine learning-powered platform that provides comprehensive performance analytics and asset health monitoring across 12 turbine subsystems. It integrates multiple data sources, including SCADA, events, failure history, maintenance records, vibration, and weather data, into a synthesized data fabric, enabling users to identify actionable factors affecting turbine performance. The platform also features case management tools to streamline operations and maintenance processes, track resolution progress, and maintain all relevant information in one place. Swarm is an autonomous collective control technology that enables turbines to communicate and learn from each other to optimize wind plant output.
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