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Reliability investigation of the South African power generation system with the inclusion of wind energy

Includes bibliographical references.

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Bibliographic Details
Main Author: Maseela, Tiisetso
Other Authors: Merven, Bruno
Format: Thesis
Language:English
Published: Energy Research Centre 2015
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access_status_str Open Access
author Maseela, Tiisetso
author2 Merven, Bruno
author_browse Maseela, Tiisetso
Merven, Bruno
author_facet Merven, Bruno
Maseela, Tiisetso
author_sort Maseela, Tiisetso
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/13303
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:25.185Z
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 Energy Research Centre
publisherStr Energy Research Centre
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/13303 Reliability investigation of the South African power generation system with the inclusion of wind energy Maseela, Tiisetso Merven, Bruno Sustainable Energy Engineering Includes bibliographical references. Renewable energy sources such as wind energy for electric power supply are receiving serious consideration around the world due to global environmental concerns associated with conventional generation and depleted conventional energy resources to meet increasing electricity demand. This is more than evident in South Africa, where the recently launched Renewable Energy Independent Procurement Program (REIPPPP) has a proposed capacity of 3725MW, allocating 1850MW to wind energy. This dissertation investigates the effects that geographical dispersion and penetration level have on the wind capacity credit and the reliability of the South African power generation system, by estimating the capacity credit. Some of the estimates are tested using a simplified dispatch model, which is also used to estimate other indicators such as the expected energy not served and CO2 emissions of the system for different wind configurations. The sensitivity of the capacity credit definition is further investigated through two definitions. Several scenarios are used to investigate the capacity credit of wind generation, based on the updated IRP base case scenario. 2015-07-03T07:53:48Z 2015-07-03T07:53:48Z 2014 Master Thesis Masters MSc (Eng) http://hdl.handle.net/11427/13303 eng application/pdf Energy Research Centre Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Sustainable Energy Engineering
Maseela, Tiisetso
Reliability investigation of the South African power generation system with the inclusion of wind energy
thesis_degree_str Master's
title Reliability investigation of the South African power generation system with the inclusion of wind energy
title_full Reliability investigation of the South African power generation system with the inclusion of wind energy
title_fullStr Reliability investigation of the South African power generation system with the inclusion of wind energy
title_full_unstemmed Reliability investigation of the South African power generation system with the inclusion of wind energy
title_short Reliability investigation of the South African power generation system with the inclusion of wind energy
title_sort reliability investigation of the south african power generation system with the inclusion of wind energy
topic Sustainable Energy Engineering
url http://hdl.handle.net/11427/13303
work_keys_str_mv AT maseelatiisetso reliabilityinvestigationofthesouthafricanpowergenerationsystemwiththeinclusionofwindenergy