Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Includes abstract.
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2015
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613299488587776 |
|---|---|
| access_status_str | Open Access |
| author | McCall, Bryce |
| author2 | Hughes, Alison |
| author_browse | Hughes, Alison McCall, Bryce |
| author_facet | Hughes, Alison McCall, Bryce |
| author_sort | McCall, Bryce |
| collection | Thesis |
| description | Includes abstract. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/11060 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:55.830Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/11060 Modelling the potential impact of net metering in South Africa McCall, Bryce Hughes, Alison Merven, Bruno Engineering 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. 2015-01-03T04:57:13Z 2015-01-03T04:57:13Z 2013 Master Thesis Masters MSc http://hdl.handle.net/11427/11060 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Engineering McCall, Bryce Modelling the potential impact of net metering in South Africa |
| thesis_degree_str | Master's |
| title | Modelling the potential impact of net metering in South Africa |
| title_full | Modelling the potential impact of net metering in South Africa |
| title_fullStr | Modelling the potential impact of net metering in South Africa |
| title_full_unstemmed | Modelling the potential impact of net metering in South Africa |
| title_short | Modelling the potential impact of net metering in South Africa |
| title_sort | modelling the potential impact of net metering in south africa |
| topic | Engineering |
| url | http://hdl.handle.net/11427/11060 |
| work_keys_str_mv | AT mccallbryce modellingthepotentialimpactofnetmeteringinsouthafrica |