Includes abstract. / Includes bibliographical references. / This work has two main objectives, first to create a working energy model of South Africa’s electricity sector using the open source software; OSeMOSYS, and secondly, using this model to understand the unstudied effects of net metered capacity within the country and how this affects the planning of the energy sector in the future, which is done through processes such as the Integrated Resource Plan (IRP). Using a combination of electricity tariffs and solar PV price projections, and the Bass diffusion model, an estimated range of the total amount of installed MW capacity of rooftop solar PV within the residential sector of South Africa was determined.
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uct/oai:localhost:11427/11060 |
Date | January 2013 |
Creators | McCall, Bryce |
Contributors | Hughes, Alison, Merven, Bruno |
Publisher | University of Cape Town, Faculty of Engineering and the Built Environment, Department of Electrical Engineering |
Source Sets | South African National ETD Portal |
Language | English |
Detected Language | English |
Type | Master Thesis, Masters, MSc |
Format | application/pdf |
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