Mr. Emmanuel Jack Nyirenda

Mr. Emmanuel Jack Nyirenda

Author

Electrical Engineering

2 publications

A result-oriented energy and electrical machines expert with prominent success working in a wide range of areas with 15 years of experience in the delivery of design, installation and maintenance of Renewable energy systems modules to graduate and undergraduate students. I also have a proven track r...

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Optimization Pump as Turbine Coupled to a Self-Excited Induction Generator Using Multi-Objective Genetic Algorithm

Journal Article
Published 4 months ago, 194 views
Author
Mr. Emmanuel Jack Nyirenda
Co-authors
Mr. Emmanuel Jack Nyirenda
Abstract
As a way of accelerating the deployment of affordable and clean renewable energy generation technologies, applying a pump working as a turbine coupled to a self-excited induction generator is gaining popularity in various areas including energy recovery and micro hydro systems. However, it is currently challenging to predict the performance of the PAT-SEIG system and there is no agreed-upon rule on the selection of the appropriate system to be installed at a particular site. This paper has presented multi-objective optimization to select the best operating point of the PAT-SEIG system. The results show that the peak efficiencies for the PAT fall between 39.9% and 40.08% and for SEIG they fall between 69.78% and 69.84% and are not coincident. Thus, when selecting the operating point, a trade off on one element is necessary. Gamultobj optimization outputs the Pareto solutions and FMINCON locates the BEP within the Pareto solutions.
Year of Publication
2024
Journal Name
Tanzania Journal of Engineering and Technology
Volume
43
Issue
1
Page Numbers
133-143
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