DOE-ANOVA to optimize hydrokinetic turbines for low velocity conditions
The need of reducing the dependence of fossil fuels and CO2 emissions have motivated the diversification of energy matrix. Among the Renewables, the hydropower shows better characteristics compared to solar, wind, biomass and geothermal, because its low CO2 emissions, higher density and others techn...
- Autores:
-
Rueda-Bayona, Juan Gabriel
Paez, Natalia
Cabello Eras, Juan José
Sagastume Gutierrez, Alexis
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2022
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/10764
- Acceso en línea:
- https://hdl.handle.net/11323/10764
https://repositorio.cuc.edu.co/
- Palabra clave:
- CFD
DOE-ANOVA
Hydrokinetic microturbine
Multiple regression
Optimization
- Rights
- openAccess
- License
- Atribución 4.0 Internacional (CC BY 4.0)