@inproceedings{9f4427b490ce460cba076d3ced1f9745,
title = "MULTI-OBJECTIVE STRATEGIES TO IMPROVE HYDROELECTRICITY GENERATION",
abstract = "The South African energy landscape is highly dependent on fossil fuels, with significant supply constraints. Water treatment plants should plan alternate energy supply under these constrained conditions. Inline energy generation with micro turbines provides for a potential solution. In order to deploy this technology significant knowledge based decision tools are required. This study conducts an extensive review of literature for globally adopted hydropower electricity generation technologies. The desktop study provides information on micro turbine technology. A subsequent data centric model, specific to micro turbines decision making in hydroelectricity generation at wastewater treatment plants in South Africa is developed. A Non-dominated Sorting Genetic Algorithm II is configured in Microsoft Excel for the multi-layer optimisation calculations. The results discussed possible optimisation modifications for enhancing strategies to improve hydroelectricity generation at wastewater treatment plants in South Africa.",
keywords = "Micro-turbines, NSGA-II, Renewable energy, Wastewater treatment plants (WWTP)",
author = "Unathi Klassie and Arnesh Telukdarie and Megashnee Munsamy and Viswanathan Radhakrishnan",
note = "Publisher Copyright: Copyright {\textcopyright} 2021 by Naud{\'e} Scribante. Permission granted to IAMOT to publish and use.; 30th International Conference of the International Association for Management of Technology: MOT for the World of the Future, IAMOT 2021 ; Conference date: 19-09-2021 Through 23-09-2021",
year = "2021",
doi = "10.52202/060557-0115",
language = "English",
series = "Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future",
publisher = "University of Pretoria",
pages = "1467--1481",
booktitle = "Proceedings of the 30th International Conference of the International Association for Management of Technology, IAMOT 2021 - MOT for the World of the Future",
address = "South Africa",
}
