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Integrated resource plan for South Africa using electricity load profiles

Includes bibliographical references (leaves 132-135).

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Main Author: Rosin, Menachem Mendel
Format: Thesis
Language:English
Published: Energy Research Centre 2015
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access_status_str Open Access
author Rosin, Menachem Mendel
author_browse Rosin, Menachem Mendel
author_facet Rosin, Menachem Mendel
author_sort Rosin, Menachem Mendel
collection Thesis
description Includes bibliographical references (leaves 132-135).
format Thesis
id oai:open.uct.ac.za:11427/14625
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:52.713Z
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
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/14625 Integrated resource plan for South Africa using electricity load profiles Rosin, Menachem Mendel Energy Research Includes bibliographical references (leaves 132-135). Integrated resource planning aims to fulfil electricity requirements with supply and demand resources. Least cost resources are optimised as supply expansions compete with measures to modify the load in meeting energy services. A demand side study is conducted to determine representative load profiles for electricity use within South Africa. Analysis of electricity consumption us in g load profiles of each sector ' s end-use electrical loads is essential for determining the appropriate supply technologies as well as the impact of demand side management and energy efficiency measures . A supply side study considers all existing and future power generation options required for expected electricity growth and system load characteristics. Energy model, TIMES, provides time-slices for adequate load profile representation TIMES is a Partial Dynamic Equilibrium Model as constraints are placed on the investment, usage and availability of technologies. All optimisations are for the least cost to the system. Demand and supply options are integrated into a single plan using the TIMES model and the supply expansion plan is changed when demand reduction targets are achieved using DSM and EE. The base case us in g a business-as-usual approach is compared with a low and medium impact DSM and EE scenario. Demand resources are estimated from the industrial, commercial and residential economic sectors. The scope of the plan is 22 years and there is full utilisation of all existing supply capacity with small amounts of decommissioning. Mothballed power stations are recommissioned initially. Peak-load plants are needed from 2007 and OCGT are selected using natural gas or LNG. Intermediate-load capacity is needed by 2011 using CCGT. Base-load capacity demands are met using new coal PF power stations in 2014. FBC stations using discard coal begin operation in 2016. The capacity expansion plan anticipates 2. 93GW of OCGT, 2.5 GW of CCGT, 7. 2GW of coal PF, 2. 8 GW of FBC plants and 2 GW of pump storage stations to be in use by 2020. Imported hydroelectric capacity of0.9 G W and PBMR capacity of3 GW is expected to be commissioned by 2024. Approximately 4 % less installed capacity is needed when a medium impact DSM and EE strategy is implemented. The marginal cost of energy gradually increases from 0. 06 R/kWh in 2002 to 0. 175 R/kWh in 2016 and to 0.325 R/kWh in 2024 as supply capacity is added. Compound load profiles from all national electricity usage provide an effective means whereby appropriate supply technologies are selected whilst incorporating load modifications due to DSM and EE. 2015-11-04T10:24:00Z 2015-11-04T10:24:00Z 2006 Master Thesis Masters MSc http://hdl.handle.net/11427/14625 eng application/pdf Energy Research Centre Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Energy Research
Rosin, Menachem Mendel
Integrated resource plan for South Africa using electricity load profiles
thesis_degree_str Master's
title Integrated resource plan for South Africa using electricity load profiles
title_full Integrated resource plan for South Africa using electricity load profiles
title_fullStr Integrated resource plan for South Africa using electricity load profiles
title_full_unstemmed Integrated resource plan for South Africa using electricity load profiles
title_short Integrated resource plan for South Africa using electricity load profiles
title_sort integrated resource plan for south africa using electricity load profiles
topic Energy Research
url http://hdl.handle.net/11427/14625
work_keys_str_mv AT rosinmenachemmendel integratedresourceplanforsouthafricausingelectricityloadprofiles