Title:
Investigation of Physics-Based Approaches for Wind Turbine Modeling and Design

dc.contributor.author Nucci, Michael
dc.contributor.department Aerospace Engineering
dc.date.accessioned 2009-06-08T19:55:16Z
dc.date.available 2009-06-08T19:55:16Z
dc.date.issued 2009-05-04
dc.description.abstract Rising oil costs have created a need for a new sustainable energy source. Currently wind energy is beginning to fulfill this need. With many financial incentives being offered for clean energy, wind turbines are a promising green energy source. Wind turbine analysis can be difficult and costly. Accurate spanwise pressure distributions are difficult to measure experimentally, and a full-fledged Navier-Stokes analysis is very computationally expensive. A comparison of two separate computer codes was performed. These include PROPID, which uses a blade element momentum theory method and empirical data about the wind turbine airfoil. The second method is a Reynolds Averaged Navier-Stokes (RANS) CFD code called windrotor2 which also was used to predict the performance of the NREL Phase VI rotor. Once the codes were validated they were then used to predict the performance of new rotor designs. This research shows that PROPID can be used as a surrogate model for turbine analysis and design. PROPID can be shown to predict performance that is on par with CFD methods in terms of accuracy, but takes only a fraction of the time to perform the analysis. PROPID can also be shown to accurately predict the performance of new turbine configurations as long as empirical data is readily available. en
dc.description.advisor Sankar, Lakshmi - Faculty Mentor ; Ruffin, Stephen - Committee Member/Second Reader
dc.identifier.uri http://hdl.handle.net/1853/28286
dc.language.iso en_US en
dc.publisher Georgia Institute of Technology en
dc.subject Power en
dc.subject Thrust en
dc.subject CFD en
dc.subject Wind energy en
dc.subject RANS en
dc.subject PROPID en
dc.subject Wind turbine en
dc.title Investigation of Physics-Based Approaches for Wind Turbine Modeling and Design en
dc.type Text
dc.type.genre Undergraduate Thesis
dspace.entity.type Publication
local.contributor.corporatename Daniel Guggenheim School of Aerospace Engineering
local.contributor.corporatename College of Engineering
local.contributor.corporatename Undergraduate Research Opportunities Program
local.relation.ispartofseries Undergraduate Research Option Theses
relation.isOrgUnitOfPublication a348b767-ea7e-4789-af1f-1f1d5925fb65
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
relation.isOrgUnitOfPublication 0db885f5-939b-4de1-807b-f2ec73714200
relation.isSeriesOfPublication e1a827bd-cf25-4b83-ba24-70848b7036ac
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