Developer(s) | Meteodyn |
---|---|
Initial release | September 9, 2009 |
Stable release | 6.1.2 / October 11, 2018 |
Operating system | Windows |
Available in | English, French, Spanish and Chinese Traditional |
Type | Wind energy software |
License | Proprietary software Commercial software |
Website | Meteodyn WT official website |
Meteodyn WT, commonly known as Meteodyn is a wind energy software program that uses computational fluid dynamics (CFD) to conduct wind resource assessment. Developed and marketed by Meteodyn, Meteodyn WT was first released in September 2009. The software quantifies the wind resource in a desired terrain in order to assess the feasibility of a proposed wind farm. The software's objective is to design the most profitable wind farm. This is achieved by taking into account the measured wind data at a measurement tower and the terrain conditions. Both of these are essential to be able to obtain the wind conditions and therefore the wind resources of the desired terrain. [1] [2] [3]
Meteodyn WT has been validated with actual wind measurements by independent studies. [4] [5]
Meteodyn WT is used by wind turbine manufacturers, wind farm developers, consulting firms and wind farm operators.
The current version of Meteodyn WT displays all projects in one world map; this map already includes terrain and roughness data. [6]
Meteodyn WT features a geographical data management tool, a meteorological data processing tool, a LIDAR correction tool, a wind turbine creation tool, a wind turbines micro-siting tool, a wind atlas tool and an auto-convergence tool. [1] [2]
It also includes the following functions: wind resource mapping, wake effect computation, annual energy production (AEP) with / without wake effect, directional wind shear at each turbine, wind and turbulence matrices at each turbine, IEC compliance, automatic report generation, losses and uncertainties. [2] [7]
The current version of Meteodyn WT exports to the following wind energy software formats: .wrg, .rsf, .wrb, .fmv and .flowres. [8] Google earth and Surfer export formats are also available.
Meteodyn WT uses computational fluid dynamics (CFD) which directly takes into consideration the geometry of the terrain in question. The software solves the Navier-Stokes equations numerically by using the K-L turbulence model. This technique to solve the Navier-Stokes equations takes into account the stability of the atmosphere. [2]
Meteodyn WT is available in English, French, Standard Chinese and Spanish.
Meteodyn WT is a proprietary software package created for Microsoft Windows and usually, any new Meteodyn WT version supports the current Microsoft Windows version and some older ones. Meteodyn WT 5.3.2 supports Windows 7 up to Windows 10. Meteodyn WT 6 supports Windows 8 up to Windows 10. [1]
In physics, physical chemistry and engineering, fluid dynamics is a subdiscipline of fluid mechanics that describes the flow of fluids—liquids and gases. It has several subdisciplines, including aerodynamics and hydrodynamics. Fluid dynamics has a wide range of applications, including calculating forces and moments on aircraft, determining the mass flow rate of petroleum through pipelines, predicting weather patterns, understanding nebulae in interstellar space and modelling fission weapon detonation.
Computational fluid dynamics (CFD) is a branch of fluid mechanics that uses numerical analysis and data structures to analyze and solve problems that involve fluid flows. Computers are used to perform the calculations required to simulate the free-stream flow of the fluid, and the interaction of the fluid with surfaces defined by boundary conditions. With high-speed supercomputers, better solutions can be achieved, and are often required to solve the largest and most complex problems. Ongoing research yields software that improves the accuracy and speed of complex simulation scenarios such as transonic or turbulent flows. Initial validation of such software is typically performed using experimental apparatus such as wind tunnels. In addition, previously performed analytical or empirical analysis of a particular problem can be used for comparison. A final validation is often performed using full-scale testing, such as flight tests.
In fluid dynamics, turbulence modeling is the construction and use of a mathematical model to predict the effects of turbulence. Turbulent flows are commonplace in most real-life scenarios, including the flow of blood through the cardiovascular system, the airflow over an aircraft wing, the re-entry of space vehicles, besides others. In spite of decades of research, there is no analytical theory to predict the evolution of these turbulent flows. The equations governing turbulent flows can only be solved directly for simple cases of flow. For most real-life turbulent flows, CFD simulations use turbulent models to predict the evolution of turbulence. These turbulence models are simplified constitutive equations that predict the statistical evolution of turbulent flows.
A direct numerical simulation (DNS) is a simulation in computational fluid dynamics (CFD) in which the Navier–Stokes equations are numerically solved without any turbulence model. This means that the whole range of spatial and temporal scales of the turbulence must be resolved. All the spatial scales of the turbulence must be resolved in the computational mesh, from the smallest dissipative scales, up to the integral scale , associated with the motions containing most of the kinetic energy. The Kolmogorov scale, , is given by
In fluid dynamics, turbulence kinetic energy (TKE) is the mean kinetic energy per unit mass associated with eddies in turbulent flow. Physically, the turbulence kinetic energy is characterised by measured root-mean-square (RMS) velocity fluctuations. In the Reynolds-averaged Navier Stokes equations, the turbulence kinetic energy can be calculated based on the closure method, i.e. a turbulence model.
Specialized wind energy software applications aid in the development and operation of wind farms.
Wind resource assessment is the process by which wind power developers estimate the future energy production of a wind farm. Accurate wind resource assessments are crucial to the successful development of wind farms.
Dudley Brian Spalding, FRS FREng was Professor of Heat Transfer and Head of the Computational Fluid Dynamics Unit at Imperial College, London. He was one of the founders of computational fluid dynamics (CFD) and an internationally recognized contributor to the fields of heat transfer, fluid mechanics and combustion. He created the practice of CFD – its application to problems of interest to engineers. Most of today’s commercially available CFD software tools trace their origin to the work done by Spalding's group in the decade spanning the mid-60s and mid-70s. Spalding became a Fellow of the Royal Society and Fellow of the Royal Academy of Engineering.
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