Modeling and numerical investigation on multi-objective design improvement of a novel cross-flow lift-based turbine for in-pipe hydro energy harvesting applications
Autor: | A. Heyrani Nobari, F. Zare Afifi, A. Tahadjodi Langroudi, A. F. Najafi |
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Rok vydání: | 2020 |
Předmět: |
Renewable Energy
Sustainability and the Environment Water flow Computer science 020209 energy Numerical analysis Energy Engineering and Power Technology 02 engineering and technology Pressure coefficient Turbine Physics::Fluid Dynamics Lift (force) Fuel Technology 020401 chemical engineering Nuclear Energy and Engineering 0202 electrical engineering electronic engineering information engineering Performance prediction 0204 chemical engineering Performance improvement Geometric modeling Marine engineering |
Zdroj: | Energy Conversion and Management. 203:112233 |
ISSN: | 0196-8904 |
DOI: | 10.1016/j.enconman.2019.112233 |
Popis: | This research is about an energy harvesting in-pipe system that generates electricity from excess pressure of the water flow in gravity-fed pipelines. These systems consist of multiple spherical lift-based turbines. The turbine configuration was modeled and fully parameterized to some design factors that can be changed in a code-based design. The physical concepts of the turbine were thoroughly analyzed to obtain a profound perception of the effect of each geometric parameter on the turbine performance. The performance improvement was investigated based on three metrics, namely the power coefficient, the probability of cavitation, and the pressure coefficient using a numerical analysis validated with some performed experiments. This validation indicates that the chosen numerical approach is reasonably reliable for turbine performance prediction with errors of less than 8%, approximately. The optimizable geometric model of the turbine, the highly accurate numerical method, and the analytical investigation developed in this study make available essential data for related studies. |
Databáze: | OpenAIRE |
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