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dc.contributor.advisorBagula, Antoine
dc.contributor.authorErasmus, Zenville
dc.date.accessioned2017-08-02T13:23:58Z
dc.date.available2017-08-02T13:23:58Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/11394/5525
dc.description>Magister Scientiae - MScen_US
dc.description.abstractThe Smart Renewable Energy project at the University of The Western Cape, under the guidance of the Intelligent Systems and Advanced Telecommunication (ISAT) group, aims at developing a dynamic system that enables users to (1) design smart architectures for next generation wind and solar systems to meet African power challenges (2) use these architectures to dimension the underlying solar and wind power systems and (3) simulate, implement and evaluate the performance of such power systems. The project's existing web and mobile monitoring system will undergo a much needed upgrade to cater for monitoring of the existing system's environmental and battery bank parameters. This will be implemented by allowing users to monitor input, storage and output trends over various time frames. These time frames would include hourly, daily, weekly and monthly readings. The visual evaluation of the system will be generated by mathematical, statistical and machine learning techniques. Trends will be discovered that will allow users to optimize the system's efficiency and their usage patterns. The accompanied dimensioning system will allow users to cater for their needs in a two way fashion. Users will be able to specify the number of devices that they want to run from a solar or wind based system and their power needs will be generated. They will also be able to determine what a given system is capable of producing and the number of devices that can be used simultaneously, as a result.en_US
dc.description.sponsorshipNational Research Foundation (NRF) and Namibia Students Financial Assistance Fund (NSFAF)en_US
dc.language.isoenen_US
dc.publisherUniversity of the Western Capeen_US
dc.subjectSolar energyen_US
dc.subjectSolar architectureen_US
dc.subjectWireless Rechargeable Sensor Network (WRSN)en_US
dc.subjectSouth Africaen_US
dc.subjectDimensioning softwareen_US
dc.subjectWind poweren_US
dc.titleSmart renewable energy : architectures, dimensioning and monitoringen_US
dc.typeThesisen_US
dc.rights.holderUniversity of the Western Capeen_US


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