ASCE705W is a spreadsheet program written in MS-Excel for the purpose of wind loading analysis for buildings and structures per the ASCE 7-05 Code. Specifically, wind pressure coefficients and related and required parameters are selected or calculated in order to compute the net design wind pressures.
2. In the worksheet for Simplified analysis, the design MWFRS wind load is calculated for each direction. The design MWFRS load is assumed to be the total wind load on either the width or the length of the building respectively.
Wind energy researchers at NREL's Flatirons Campus develop modeling and simulation capabilities that help inform wind industry research and design to drive down the cost of wind energy. Created using Nalu-Wind simulation code, this visualization of two NREL 5-megawatt wind turbines demonstrates a turbine wake interaction flow field, which can improve understanding of wind plant performance. Graphic by Shreyas Ananthan and Ganesh Vijayakumar, NREL
The software and data are primarily for the benefit of the U.S. government and organizations that collaborate with the U.S. Department of Energy's Wind Energy Technologies Office and Water Power Technologies Office. Others are welcome to use the software and data, but please note that they are meant for professionals with expertise in wind or water power technologies and are subject to a data use disclaimer agreement.
Accurate documentation of the wind patterns around the United States helps researchers determine the best sites for wind power plants. Wind maps can also help determine the wind resource potential for specific locations.
The Knowledge Base provides access to a range of information about the environmental effects of wind energy. Relevant publications from around the world are compiled into a user-friendly table that allows users to sort content by type, technology, stressor, and receptor.
The Circular Economy Lifecycle Assessment and Visualization (CELAVI) framework is a dynamic and flexible tool that models the impacts of clean energy (including wind energy) supply chains during the transition from a linear to a circular economy.
The Cost of Renewable Energy Spreadsheet Tool (CREST) contains economic, cash-flow models designed to assess project economics, design cost-based incentives, and evaluate the impact of state and federal support structures on renewable energy, including wind energy.
NREL's demand-side grid (dsgrid) model harnesses decades of sector-specific (including wind) energy modeling expertise to create comprehensive electricity load data sets at high temporal, geographic, sectoral, and end-use resolution to understand current and future U.S. electricity load for power systems analyses.
ExaWind is an open-source suite of codes designed for multi-fidelity simulation of wind turbines and wind farms, including high-fidelity simulations that resolve scales going from micron-scale boundary layers around turbine blades up kilometer-scale turbulent atmospheric flow.
FLORIS provides a computationally inexpensive, controls-oriented modeling tool of the steady-state wake characteristics in a wind farm. This open-source software framework models turbine interactions in planned and existing wind power plants, and can be used to design and analyze wind farm control strategies and wind farm layout optimizations.
A standardized tool for producing operational analyses of wind power plants, OpenOA identifies and analyzes the drivers of wind farm performance. The first open-source software tool of its kind, OpenOA helps wind industry professionals make more accurate predictions and more informed decisions in their work, thereby reducing investment risk.
The REopt web tool allows users to evaluate the economic viability of distributed wind energy and other renewable energy sources, identify system sizes and dispatch strategies to minimize energy costs, and estimate how long a system can sustain critical load during a grid outage.
The Renewable Energy Potential (reV) model model is a first-of-its-kind detailed spatiotemporal modeling assessment tool that empowers users to calculate renewable energy capacity, generation, and cost based on geospatial intersection with grid infrastructure and land-use characteristics. Available as open source since February 2020, the reV model currently supports wind turbine technologies.
The Stochastic Soaring Raptor Simulator (SSRS) is designed to predict movements of soaring raptors (such as golden eagles) with the goal of determining potential negative interactions between soaring raptors and wind turbines. SSRS uses a stochastic agent-based model for simulating a large number of wind- riding eagle paths at turbine-scale resolution using the atmospheric conditions at a specific time and the ground features (altitude, slope, aspect) at a particular site. SSRS can be applied to any rectangular region within the United States without the need for any eagle-centric or atmosphere-related data collection efforts, using only publicly available data sources. SSRS outputs a presence density map, which could be used to design tailored collision-mitigation measures or for future plant siting.
WindSE is an open-source computational fluid dynamics code designed for wind turbine or wind farm simulations, optimization, and uncertainty quantification studies. Written in Python using the FEniCS finite element library, WindSE includes tools to automatically obtain adjoint gradients for efficient optimization and sensitivity analysis in high dimensions.
WISDEM®, NREL's core systems engineering software tool, integrates a full set of wind turbine and plant models for holistic system analysis. It includes modules for a full suite of wind plant models, including turbine aerodynamics, component structural analysis, component costs, plant operations and maintenance costs, financial models, wind plant layouts, and wind turbine aeroelastic simulations.
FAST.Farm, via GitHub, extends the capabilities of OpenFAST to provide multiphysics-based engineering simulation of wind farms: land-based, fixed-bottom offshore, and floating offshore. FAST.Farm can simulate each wind turbine in the farm with an OpenFAST model, capture relevant physics for prediction of wind farm power performance and structural loads, and predict the ultimate and fatigue loads of each wind turbine in the farm.
OpenFAST provides state-of-the-art simulation of individual wind turbines: land based, fixed-bottom offshore, and floating offshore. OpenFAST has the ability to model wind turbine loads, consider a range of wind turbine configurations, and enable standards-based loads analysis for predicting wind system ultimate and fatigue loads.
SOWFA (Simulator fOr Wind Farm Applications) is a set of computational fluid dynamics solvers, boundary conditions, and turbine models. SOWFA employs computational fluid dynamics to enable users to investigate wind turbine and wind power plant performance under a full range of atmospheric conditions and terrain. With this tool, researchers and wind power plant designers can examine and minimize the impact of turbine wakes on overall plant performance. Read the SOWFA fact sheet.
Blade Fatigue Static (BladeFS) is a MATLAB script that was developed to determine loads and deflections associated with fatigue and static structural testing of wind turbine blades using matrix based finite element analysis.
Horizontal Axis Rotor Performance Optimization (HARP_Opt) utilizes a multiple-objective genetic algorithm and blade-element momentum theory flow model to design horizontal-axis wind and hydrokinetic turbine rotors.
ENTSO-E Transparency, the central data platform of the European transmission system operators, provides a lot of data as required in EU regulation 543/2013. The database can be accessed through the website and several download options.
An extended version of the following table with more information is available for download (XLSX).CountryPlant TypesRestrictions SourceDirect linkPrecise location dataUpdatesATAll-VerbundNoUnclearHydro, biomass, district heatingTIWAG power plants onlydetailed info for large plantsNoUnclearBEWind, biogas, biomass, hydroFlanders onlyPower plant listPostcodeProbably annualSolarFlanders onlySolar statistics FlandersNoProbably annualAll-ELIANoSeveral times a monthSolarStatistical Institute of BulgariaWind-data.chNoMonthlyWind-Swiss water management associationNoUnclear, probably annualHydro-Solar.chNoAnnual until 2013SolarAggregate national data onlyFederal office of EnergyPostcode (+ street for units > 30 MW)AnnualCZWind>100 MW plants only, no information on completenessCzech Energy Agency for RenewableAvailableUnclearWindnot up to date, discontinuedCzech Energy Agency for RenewableAvailableUnclearHydroNot up to date Elektrarny.proNoUnclearSolarIncompleteCallaNoNoneBiogas-CallaNoNoneDKWindScattered data may be missing or inaccurateChartUTMMonthlySolar-ChartNoAnnualSolar-ChartPostcodeUnclearEEAllCapacity not available for most power sourcesEstonian Wind energy associationNoUnclearAllEstonian Energy plants onlyRegulatory authority for EnergyGovernment of AragonGovernment of AragonNoAnnualSolarData for AragonChartNoAnnualHydroMajor plants onlyVTTEnergy Agency FinlandMEDDEMEDDEMEDDEMEDDEHEP GroupHungarian Wind energy associationNV SolarNoUnclearIEWindWind farms only, outdatedChartNoNo regular publicationHydro-AtlaventoNoProbably annualSolar-Statistical officeEnovos groupNoUnclearMKAll-Wind statistics NLAvailableUnclearAll-NVENVEPolish Information and Foreign Investment AgencyENEOPNoUnclearROAllNo individual data available, after 2009 only small hydropower plantsDocumentNoUnclearAllNo individual data, after 2009 only small hydropower plantsDocumentNoUnclearSKHydro-DocumentNoUnclearBiogas, biomass, solar, wind, hydroData are outdatedDocumentAvailableUnclearSolarIncompleteSlovenian pv portalNoUnclearSEWind>3 MW turbines onlyStatisticsNoMonthlyUKAnaerobic digestion, hydro, micro CHP, other, solar, wind-StatisticsNoAnnualVariousWindNo information of completeness, no small plants 781b155fdc