Asmelash Haftu Amaha, Shivasubramanian Gopalakrishnan, Prabhu Ramachandran, Joel Guerrero
{"title":"基于滑动和超集网格的垂直轴涡轮机模拟","authors":"Asmelash Haftu Amaha, Shivasubramanian Gopalakrishnan, Prabhu Ramachandran, Joel Guerrero","doi":"10.1088/1757-899x/1312/1/012010","DOIUrl":null,"url":null,"abstract":"Vertical Axis Turbines (VATs) are gaining traction as decentralized energy sources due to their simple design and suitability for various wind conditions. However, understanding VAT aerodynamics requires robust computational methods. This study compares the accuracy and efficiency of two meshing techniques (sliding mesh and overset mesh) for VAT simulations using OpenFOAM. Validation against experimental data confirms the capability of both methods to capture flow physics and predict turbine performance. The results suggest both techniques offer efficient and accurate VAT simulations, providing valuable tools for future VAT optimization and experimental validation.","PeriodicalId":14483,"journal":{"name":"IOP Conference Series: Materials Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vertical axis turbine simulations based on sliding and overset meshes\",\"authors\":\"Asmelash Haftu Amaha, Shivasubramanian Gopalakrishnan, Prabhu Ramachandran, Joel Guerrero\",\"doi\":\"10.1088/1757-899x/1312/1/012010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vertical Axis Turbines (VATs) are gaining traction as decentralized energy sources due to their simple design and suitability for various wind conditions. However, understanding VAT aerodynamics requires robust computational methods. This study compares the accuracy and efficiency of two meshing techniques (sliding mesh and overset mesh) for VAT simulations using OpenFOAM. Validation against experimental data confirms the capability of both methods to capture flow physics and predict turbine performance. The results suggest both techniques offer efficient and accurate VAT simulations, providing valuable tools for future VAT optimization and experimental validation.\",\"PeriodicalId\":14483,\"journal\":{\"name\":\"IOP Conference Series: Materials Science and Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IOP Conference Series: Materials Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1088/1757-899x/1312/1/012010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IOP Conference Series: Materials Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/1757-899x/1312/1/012010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vertical axis turbine simulations based on sliding and overset meshes
Vertical Axis Turbines (VATs) are gaining traction as decentralized energy sources due to their simple design and suitability for various wind conditions. However, understanding VAT aerodynamics requires robust computational methods. This study compares the accuracy and efficiency of two meshing techniques (sliding mesh and overset mesh) for VAT simulations using OpenFOAM. Validation against experimental data confirms the capability of both methods to capture flow physics and predict turbine performance. The results suggest both techniques offer efficient and accurate VAT simulations, providing valuable tools for future VAT optimization and experimental validation.