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Energy modelling in the South African electric power industry

The subject of this thesis is the development of a modelling system for the planning of the South African electricity supply industry. A power system planning process was developed with the object of ~stablishing a long-range development plan that would enable the selection and timing of individual...

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Main Author: Ben-Yaacov, Giora Zeev
Other Authors: Dutkiewicz, R K
Format: Thesis
Language:English
Published: Department of Mechanical Engineering 2023
Subjects:
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access_status_str Open Access
author Ben-Yaacov, Giora Zeev
author2 Dutkiewicz, R K
author_browse Ben-Yaacov, Giora Zeev
Dutkiewicz, R K
author_facet Dutkiewicz, R K
Ben-Yaacov, Giora Zeev
author_sort Ben-Yaacov, Giora Zeev
collection Thesis
description The subject of this thesis is the development of a modelling system for the planning of the South African electricity supply industry. A power system planning process was developed with the object of ~stablishing a long-range development plan that would enable the selection and timing of individual projects. This planning process is represented by several sub-models which include the prediction of future demands, the assessment of the generating capacity and the proportions of the different types of generating plant on the system (the plant "mix"), the analysis of the transmission network performances and the simulation of the financial processes. One of the characteristics of the modelling system presented is its three-stage structure. The first stage is represented by the load model for the long-term prediction of power and energy demand. The second stage is represented by the two expansion models for generation and transmission. With the aid of these two models several expansion strategies are pre-selected, and then in the third stage, using the financial model, the total capital requirements are established. The future system demand is predicted from the analysis of historical data and by the formulation of the electricity - and economic growth relationship: Two major calculations, linear programming optimisation and loss of load probability analysis, are used in the computer models which aid the policy makers in selecting the optimum size and mix of the generating plants and scheduling the operation and maintenance of the generating units. Transmission system analysis programs have been developed in such a way that they use a common power system data base which enables the planning engineers to store and maintain their power system data. The calculation routines include load flow, fault analysis, stability studies, single and three phase travelling. Waves, and power and high ii frequency transmission line parameters. The costing and financial models include the analysis of costs of all new expansion equipment, the costs of operation and maintenance of the generation units, transmission equipment and fuel, and the simulation of the financial environment and accounting processes. On the basis of experience gained so far, the author arrives at the conclusion that the modelling system presented is capable of providing a useful tool for planning the expansion of the South African electricity supply industry .
format Thesis
id oai:open.uct.ac.za:11427/38899
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:31:34.243Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher Department of Mechanical Engineering
publisherStr Department of Mechanical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/38899 Energy modelling in the South African electric power industry Ben-Yaacov, Giora Zeev Dutkiewicz, R K Engineering The subject of this thesis is the development of a modelling system for the planning of the South African electricity supply industry. A power system planning process was developed with the object of ~stablishing a long-range development plan that would enable the selection and timing of individual projects. This planning process is represented by several sub-models which include the prediction of future demands, the assessment of the generating capacity and the proportions of the different types of generating plant on the system (the plant "mix"), the analysis of the transmission network performances and the simulation of the financial processes. One of the characteristics of the modelling system presented is its three-stage structure. The first stage is represented by the load model for the long-term prediction of power and energy demand. The second stage is represented by the two expansion models for generation and transmission. With the aid of these two models several expansion strategies are pre-selected, and then in the third stage, using the financial model, the total capital requirements are established. The future system demand is predicted from the analysis of historical data and by the formulation of the electricity - and economic growth relationship: Two major calculations, linear programming optimisation and loss of load probability analysis, are used in the computer models which aid the policy makers in selecting the optimum size and mix of the generating plants and scheduling the operation and maintenance of the generating units. Transmission system analysis programs have been developed in such a way that they use a common power system data base which enables the planning engineers to store and maintain their power system data. The calculation routines include load flow, fault analysis, stability studies, single and three phase travelling. Waves, and power and high ii frequency transmission line parameters. The costing and financial models include the analysis of costs of all new expansion equipment, the costs of operation and maintenance of the generation units, transmission equipment and fuel, and the simulation of the financial environment and accounting processes. On the basis of experience gained so far, the author arrives at the conclusion that the modelling system presented is capable of providing a useful tool for planning the expansion of the South African electricity supply industry . 2023-09-27T12:44:57Z 2023-09-27T12:44:57Z 1977 2023-09-27T10:56:31Z Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/38899 eng application/pdf Department of Mechanical Engineering Faculty of Engineering and the Built Environment
spellingShingle Engineering
Ben-Yaacov, Giora Zeev
Energy modelling in the South African electric power industry
thesis_degree_str Doctoral
title Energy modelling in the South African electric power industry
title_full Energy modelling in the South African electric power industry
title_fullStr Energy modelling in the South African electric power industry
title_full_unstemmed Energy modelling in the South African electric power industry
title_short Energy modelling in the South African electric power industry
title_sort energy modelling in the south african electric power industry
topic Engineering
url http://hdl.handle.net/11427/38899
work_keys_str_mv AT benyaacovgiorazeev energymodellinginthesouthafricanelectricpowerindustry