Using CFD To Predict The Performance Of Innovative Wind Power . - COMSOL

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10/5/2012Using CFD to Predict thePerformance of InnovativeWind Power GeneratorsCOMSOL Conference Boston 2012Boston Marriott NewtonNewton, MA 02466 USAOctober 3-4, 2012Dr. Daryoush Allaei, PEChief Technical OfficerSheer Wind, Inc.1Excerpt from the Proceedings of the 2012 COMSOL Conference in BostonUsing CFD to Predict the Performance ofInnovative Wind Power GeneratorsTopics1. Motivation2. Possible Solutions3. Model4. Results5. Conclusions1

10/5/2012Using CFD to Predict the Performance ofInnovative Wind Power GeneratorsTopics1. Motivation2. Possible Solutions3. Model4. Results5. ConclusionsMotivationIs it possible to ingsRetail StoresCruiseShipsConsumerProductsRapid DeployablePower for SoldiersNaval ShipsSchoolsFEMAHomeland SecurityRuralCommunitiesEmergency PowerGenerationAffordable, Clean, SafeEnergy forEveryone, EverywhereUnderdeveloped CountriesEconomic DevelopmentEmergencyMedicalDisaster PowerGenerationWaterTreatmentPoweringHospitals2

10/5/2012Wind Power Generation MarketPrimary MarketOnshoreUtility aryMarket FocusUSAMarketSheerWindUnitsMarket Growth on] by 2030MarketsTurbines(2010 GWEC Report)BuildingsMilitaryApplicationsMicroPower 10USA - 2010ConsumerProducts 50MicroElectronicsUSA - 2030 w MarketsBy INVELOXGlobal (2030)Energy ConsumptionEnergy Consumption (Source: 2011 DOE-NREL Report)U.S. vs World & U.S. Consumption Breakdown3

10/5/2012Energy Consumption by BuildingsEnergy Consumption (Source: 2011 US Energy Information Administration Report)Building Sector vs Industry & Transportation2010 Building Energy Consumption in USA [TWh]& Market Value [ B], Energy Price: 0.1/KWhBuildingSectorTotal20%RenewableMarket Value [ B]8,792 8791,758 176Electrical power consumptionby market sector (2011)Using CFD to Predict the Performance ofInnovative Wind Power GeneratorsTopics1. Motivation2. Possible Solutions3. Model4. Results5. Conclusions4

10/5/2012Possible Energy SolutionsSources of Energy: Cost, Public Safety/Health, EnvironmentLine No.012345678910Type of PowerAverage Price perPublicGeneration Plant MWh (1000 KWh), SafetyWind ‐ INVELOX 69.00Hydro 89.90Natural Gas Fired 92.84Wind 96.80Geothermal 99.60Advanced Nuclear 112.70Coal 117.50Biomass 120.20Solar PV 156.90Solar Thermal 251.00Wind — Offshore 330.60PublicHealthEnvironmentPossible Solutions: Wind TechnologiesZeroBladeJoby EnergyTraditional Wind TowersWind Lens(Ducted Turbines)Megenn PowerAltaeros EnergiesMakani PowerOptiWind5

10/5/2012INVELOX Solves Traditional Wind Power IssuesRadarInterferenceLow FrequencyNoise & OpticalFlickeringHigh Cut-inWind SpeedTurbine ReliabilityDistance from GridTMLarge Land UseIcingTraditional Wind TowersVisual ImpactHigh CostBird Strikes&WildlifeINVELOX Solves Traditional Wind Power IssuesMinimizesRadarInterferenceNo Low FreqNoise &FlickeringLow Cut-inWind SpeedImproved TurbineReliabilityTMReduced Landby 90%No Icing(turbine blades notexposed)(turbine & generator notexposed)38% LessCostReduced Distancefrom GridImprovedVisual ImpactNo Bird StrikeOr Wildlifeissues6

10/5/2012How it WorksINVELOX Operates Similar to Hydropower1. Water intake12. Water is channeled3. Water accelerates4. Hydro power conversion system25. Excess water discharged345How it WorksINVELOX Operates Similar to Hydropower1.1. 2. Wind1Wateracceleratesaccelerates3.3. WindHydropowerpowerconversionconversion systemsystem4.4. WindExcess windwaterdischargeddischarged5.5. Excess12Omnidirectional INVELOX2334 4 557

10/5/2012Design Parameters for Wind Power GenerationHigher Towers & Longer Turbine BladesHigher TowerHigher Wind SpeedLonger BladesMore PowerMore PowerPower proportional to (Wind Speed)3Power proportional to (Turbine Radius)2Power versus Wind Speed and Blade Diameter1000007 m/s19 m/s9 m/s21 m/s11 m/s25 m/s13 m/s27 m/s15 m/s30 m/s17 m/sPower [KW], Log Scale100001000Increasing Speed100101612182430374349556167Blade Diameter [m]73798591981041108

10/5/2012Example: Increased in VelocityAssume Speed Ratio of 4 Venturi Speed/ Free Stream WindFreeTMStream Wind Speed:7 m/s [15 mph]OmnidirectionalINVELOXVenturi Wind Speed:28 m/s [60 mph]Power Density versus Wind Speed45,000Wind Power Density [W/m2]Available Power in Sweep Area of a BladeWind Power Density [W/m2]40,00038,91735,000AvailablePower Ratio:1 to 6430,00025,00022,521Traditional 41153000071345Wind Speed [mph, m/s]206027753490409

10/5/2012Using CFD to Predict the Performance ofInnovative Wind Power GeneratorsTopics1. Motivation2. Possible Solutions3. Model4. Results5. ConclusionsComputational Fluid Dynamics (CFD)1)2)3)4)Solid Model of INVELOXVirtual Wind TunnelBoundary ConditionsInput & Output10

10/5/2012ModelCOMSOL Model11

10/5/2012Using CFD to Predict the Performance ofInnovative Wind Power GeneratorsTopics1. Motivation2. Possible Solutions3. Model4. Results5. ConclusionsComputer Models & SimulationsPressure Field inand around theINVELOX TowerAtmosphericPressureFunnel InletPressure is highTower OutletPressure is Low12

10/5/2012Computer Models & SimulationsVelocity Field inand around theINVELOX TowerWind Speed15 mphat 2nd Bend –Min:9 mphMax:33 mphFunnel Inlet SpeedMin:4, Max:10 mphTower Outlet SpeedMin:15, Max:24 mph52% increaseComputer Models & SimulationsEnergy Balance at 6.7 m/s (or 15 mph) Free Stream WindEnergy Density : J/m3Static PressureEnergy (PE)Dynamic PressureEnergy (KE)Total Energy(PE KE)Free Stream100,00027100,027At the 7StageAt the End of Intake Funnel (1st Bend)At the End of2ndBendRight Before Exit (Turbine Location)Far from Exit99,96760100,027100,00027100,027Ratio of Dynamic Energies:Turbine Location / Free Stream 2.23 (or 123%)13

10/5/2012Computer Models & SimulationsEnergy Balance at 15 m/s (or 34 mph) Free Stream WindEnergy Density : J/m3Static PressureEnergy (PE)Dynamic PressureEnergy (KE)Total Energy(PE KE)Free Stream100,000135100,135At the Intake100,10629100,13599,834301100,135StageAt the End of Intake Funnel (1st Bend)At the End of 2nd Bend99,834301100,135Right Before Exit (Turbine Location)99,834301100,135100,000135100,135Far from ExitRatio of Dynamic Energies:Turbine Location / Free Stream 2.23 (or 123%)CFD Models & SimulationsVelocity Field inand around theINVELOX TowerWind Speed15 mphFunnel Inlet SpeedMin:4, Max:10 mphat 2nd Bend –Min:9 mphMax:33 mphTower Outlet SpeedMin:15, Max:24 mph52% increase14

10/5/2012Capable of CreatingDonut-ShapedVelocity Profile atTurbine LocationWind Speed over thehub does notgenerate powerCFD (Computational Fluid Dynamic) ModelComparison between Two Independent Models1. ANSYS CFD was utilized by CCNY(CCNY City College of New York)2. COMSOL CFD was employed by QRDC(QRDC is an R&D Company in Chaska, MN)3. A virtual wind tunnel was constructed toexamine the performance of an INVELOXsystem4. The results are in agreement15

10/5/2012CFD (Computational Fluid Dynamic)Model Comparison between Two Independent ModelsThe ModelCFD (Computational Fluid Dynamic)Model Comparison between Two Independent ModelsSummary ResultsFree Stream Wind Speed: 6.7 m/s (or 15 mph)NormalSpeed Ratio Based on Average Speed: 1.6Speed Ratio Based on Maximum Speed: 1.816

10/5/2012CFD (Computational Fluid Dynamic)Model Comparison between Two Independent ModelsSummary ResultsCFD (Computational Fluid Dynamic)Model Comparison between Two Independent ModelsSummary Results - Close-up17

10/5/2012CFD (Computational Fluid Dynamic) - Additional Results Using COMSOL ModelCFD (Computational Fluid Dynamic) - Additional Results Using COMSOL ModelWith Supporting ColumnsSupportingColumns18

10/5/2012CFD (Computational Fluid Dynamic) - Additional Results Using COMSOL ModelDom-Shaped TopCFD (Computational Fluid Dynamic) - Additional Results Using COMSOL ModelDom-Shaped Top19

10/5/2012Using CFD to Predict the Performance ofInnovative Wind Power GeneratorsTopics1. Motivation2. Possible Solutions3. Model4. Results5. ConclusionsUsing CFD to Predict the Performance ofInnovative Wind Power Generators1) It was shown that INVELOX can be designed tocapture and accelerate wind to speed ratios of 2 and3 for omnidirectional INVELOX without and with fins,respectively.2) Increasing wind speed by a factor of 2 or 3, resultsin increased power output by a factor of 4 to 8.3) It was further shown that COMSOL is an effectivecomputational tool to model and analyze theINVELOX systems.20

10/5/20124121

CFD (Computational Fluid Dynamic) Model Comparison between Two Independent Models 1.ANSYS CFD was utilized by CCNY (CCNY City College of New York) 2.COMSOL CFD was employed by QRDC (QRDC is an R&D Company in Chaska, MN) 3.A virtual wind tunnel was constructed to examine the performance of an INVELOX system 4.The results are in agreement

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