Thesis (PhD (Electrical Engineering))--Potchefstroom University, 1993. / The domestic sector is one of the largest users of nett energy in the RSA (24%, excluding energy used for transport), but it accounts for only 14% of the electrical energy used in the RSA. There is a very strong correlation between the time of the peak of the load for the domestic sector and the time of the peak of the national load. The domestic load is the largest contributor to the peak of the national load. This makes the domestic load more important than is generally realised. Only limited research has been done about the ways in which domestic energy is used in South Africa. Developed countries, such as the United States of America, are continuously engaged in end-use load research, so they have vast data banks available on domestic end-uses of electricity. Data on domestic end-use of electricity are urgently needed especially for South Africa with its very fast growing newly urbanised sector. Since most energy sources are not replenishable, ways and means must be found to promote the wise and effective use of all forms of energy. Effective use of energy can only be promoted if the ways in which electricity is used are known. In this dissertation the electrical energy requirements of the South African domestic sector are analyzed for the present situation and for the next few decades. A model is developed to represent the electrical load. The model has subsections representing the components of the national domestic electrical load, concentrating on electrical energy for domestic water heating, with responses to factors such as: * population growth, * urbanisation, * electrification, * energy efficiency of appliances, * consumer awareness of energy conservation. The model is to be used for scenario planning of the electrical grid. The results of this study will assist to ensure effective planning of the electrical grid of South Africa into the next century.

A research report submitted to the Faculty of Science, University of the Witwatersrand, in partial fulfilment of the requirements for the degree of Master of Science May 23, 2017 / The aim of this study was to investigate the relationship and direction between electricity consumption and gross domestic product including energy infrastructure as a third variable in South Africa using the time series data from 1993 to 2015. The relationship was modelled in South Africa focusing on the industry sectors that influence economic growth and using techniques such as ARIMA model, Multivariate Regression Analysis, Vector Autoregressive and Granger Causal Test. The Vector Autoregressive model performed better than Multivariate Regression analysis in modelling the relationship between consumption and economic growth in South Africa. The Granger causal effect illustrated a direction from consumption to economic growth and again Granger cause effect from infrastructure to economic growth. The results from these models revealed that there was a relationship between electricity consumption and economic growth, as well as electricity infrastructure. South Africa supports a growth hypothesis meaning that South Africa is energy dependent. The results of the study signals that the electricity consumption of South Africa have an effect on the economic growth. / MT 2017

M.Com. (Business Management) / The residential demand profile for electricity shows that this segment of the market has. a great demand in the morning and early evening. Due to a shortage of generation capacity during these peak consumption periods, different strategies are now needed to persuade customers to use their electricity in the periods when there is not a great demand. One way in which this can be achieved is to give the customers a time differentiated tariff i.e. a time-of-use (TOU) tariff, whereby the customer will pay a high energy rate in the peak periods, and lower energy rates in the off-peak and standard periods. The overall goal of this study was to determine to what extent residential customers would respond to such a tariff The study covered three consumption groups i.e. customers using more than 1500 kWh per month, between 600 and 1000 kWh per month, and between 300 and 600 kWh per month. All the customers taking part in the study were direct Eskom customers. Once the customers had agreed to participate in the study, they had TOU measuring equipment installed in their homes, which measured their consumption according to the time of day it was consumed.

Since 1994, with many of its sanctions lifted, South Africa became a stronger economic power house in Africa leading the continent‘s industrial output and mineral production and generating a large proportion of Africa‘s electricity. The South African economy has since been growing at a fast pace which has also led to an increase in the demand for electricity. South Africa‘s generating capacity has remained constant through a consistently increasing demand, leading to an electricity shortfall. An immediate threat to South Africa‘s continued economic growth is a capacity constraint in terms of energy supply. Increasing economic growth coupled with the rapid industrialisation and mass electrification programme of the last decade, as well as planned and unplanned maintenance and coal stock pile problems led, in January 2008, to demand out stripping supply. With electricity being an important component of economic development, it is vital that the impact of the supply of electricity on the economic growth of the country be well understood. Currently few studies have been done on the analysis of this relationship in South Africa specifically and how this relationship impacts specific sectors of the economy that contributes to the total GDP of the country. This study has assumed rigorous application of Granger technique with proper statistical verification of assumptions, selection of relevant variables and provides trusted statistical forecasts. In an attempt to understand this relationship, an Econometric model has been developed to assess the impact of electricity supply and price on the economic growth of South Africa. In the empirical analysis section of this study it was found that with a forecast for GDP, past values of electricity prices and coal sales may be used to forecast electricity supply. It was also found that if we have a forecast value of future electricity price we can use past values of electricity supply and coal sales to forecast GDP for the next quarter. We also found that electricity supply is granger caused by GDP; electricity price; and total coal sales. And that economic growth is granger caused by electricity supply; electricity price; and total coal sales. It was concluded that in order for government to improve the economic growth of South Africa, a major focus on the energy industry is needed to ensure sustainable supply capacity. The energy sector, as was shown in the study, has a major impact in the functioning of the Gross Domestic Product of the country.

M.A. (Environmental Management) / The Small Micro Medium Enterprise (SMME) sector plays a critical role in the economy of South Africa by reducing poverty and providing employment. South Africa has about 6 million SMMEs that employ more than 61% of citizens and contribute about 37% to the Gross Domestic Product (GDP). The growth and development of the sector over the years has however been compromised and threatened by the shortage of electricity and increasing electricity tariffs. Whereas large companies can manage to afford the adoption of energy efficiency measures in order to reduce energy costs, SMMEs have limited resources and may therefore struggle to afford energy efficiency adoption. However, there is a lack of scientific documentation about energy efficiency adoption amongst manufacturing SMMEs (M-SMMEs) in South Africa. The purpose of the research is to therefore assess the state of energy efficiency adoption amongst M-SMMEs, despite the challenges they experience. To achieve this research goal, the study surveyed and characterised the extent of energy efficiency adoption and also unveiled the drivers and barriers to energy efficiency adoption. Data were collected by means of surveys, making use of questionnaires. A sample of 30 firms was selected for the research. Almost all (96%) firms perceived EE as an opportunity. However, only 50% had adopted EE measures. Key drivers to adoption included the motive to reduce production costs, mitigate the impact of increasing electricity prices, gain competitive advantage and payback period. The gap between EE perception and adoption was caused by several barriers like the lack of finance, skills and time. Among non-adopters, 60% indicated their willingness to be trained in EE. The study therefore recommends improved capacity building through workshops for M-SMMEs.

M.Com. (Economics) / The objective of the thesis was to examine the relationship between the grade of ore, physical electricity consumption and working cost in the South African gold mining industry for the period 1965 - 1982. The South African economy is heavily dependent on the gold mining industry, which is a major earner of foreign exchange and a large consumer of labour and agricultural and industrial output. The industry is also important as a source of finance for both the private sector and the Treasury. Curtailment of activity within the industry by closing down the more marginal mines or by shortening the life of the industry' as a whole because of rising costs and/or a hesitant gold price, will harm the South African economy in a number of ways. The industry has no option but to regard the gold price as given. The remaining ore reserves tend to be of a lower grade and/or to be found at greater depth. Controlling the working costs would seem to be almost the only option open to the industry.

M.Ing. (Engineering Management) / South African power demand has been increasing over the past years due to increase in energy consumption from industrial, commercial and residential sectors. In order to meet the growing power demand Eskom Holdings Limited SOC (Eskom) has implemented a number of initiatives such as the energy efficiency programme, power generating capacity increase and refurbishment of the operational coal fired power stations. Energy efficiency initiatives have been designed to encourage residential, commercial and industrial customers to use energy efficient technologies which consume less energy compare to conventional technologies. Power generating capacity increase programme includes construction of new base and peaking generating power plants (such as Medupi, Kusile and Ingula) and return to service of the old generating plants (such as Camden, Komati and Grootvlei). The refurbishment programme or coal refurbishment involves upgrading of operational coal fired power stations with the objective of extending their life expectancy, improve performance and to ensure compliance to latest safety standards...

Submitted in fulfillment of the requirement for the Degree of Master of Management Sciences Specialising in Business Administration, Durban University of Technology, Durban, South Africa, 2017. / In the electricity prepayment metering industry the continuous increase in customers’ expectations and technological innovation demand that leading firms in the industry differentiate themselves from the competition by going beyond customers’ present expectations. Thus, organizations which have set their goals on mere customer satisfaction are, from a customers’ perspective, deemed to be of limited value and may subsequently lack the anticipation and preparation essential to meet the demands of the future. Electricity prepayment metering market competition today is forcing organisations to seek the means to gain customer satisfaction, and thus aim to sustain their future in times of economic instability. The study revealed that the most effective way to retain customer satisfaction is consistent service quality that decreases the cost of attracting new customers and raises sales and market share. The quality of service is one of the most effective factors in creating competitive advantages and advance business. Factors that influence customer satisfaction in the electricity prepayment industry were investigated and tested. The study also attempted to identify the critical factors, as identified in the literature, among those investigated: service quality, customer expectations, customer perception and customer retention. Against this background, the study sought to determine the interrelationship between customer satisfaction and the critical factors of customer satisfaction with Conlog Electricity Prepayment Meters in KwaZulu-Natal. The research developed to ascertain subjects’ perceptions of the critical factors of customer satisfaction; determine the interrelationship among the critical factors of customer satisfaction; and explore the relationship between customer satisfaction and the critical factors of customer satisfaction. The research population comprising of Conlog electricity prepayment metering customers in KwaZulu-Natal was selected and interviewed. Questionnaires were distributed through electronic mail and self-administered for data collection and a sample of twelve respondents was selected for interview. Interviews were analysed using conversational analysis and the data collected from the interviews were merged with the questionnaire data, seeking depth as well as breadth. Data collected from respondents was analysed using descriptive and inferential statistical techniques. The tool utilised to analyze data was the Statistical Package for the Social Sciences (SPSS) version 22 (SPSS Inc., Chicago, Illinois, USA). A p value < 0.05 was considered as statistically significant. Conclusions and recommendations were drawn from the literature and the findings of the study. The results of the study revealed that service quality is the most significant critical factor of customer satisfaction. The study recommends that the management of Conlog can use the specific data obtained from the measurement of service quality in their strategies and plans. The study further recommends that Conlog allocates resources to this effect to provide better service to their customers. The results and findings of the study will provide further information concerning customer satisfaction and customer perception in the prepayment metering industry in KwaZulu-Natal. It will also contribute to future industry research, setting the ground for further research in measuring levels of customer satisfaction in the electricity prepayment industry in South Africa. / M

The electric power policies in Nigeria and South Africa are considered the governments’ intention to provide quality and affordable electricity to the people. A comparative study on the electric power policies focuses on the similarities and differences in the policy approaches, the policy issues that affect electrification, and the impact of the policy issues in achieving the goal of universal access to quality and affordable electricity power in both countries. The methodological approach allows for an in depth textual study on the electric power policy documents in both countries. In Nigeria, the government intends to address the massive demand-supply imbalance and achieve the goal of electrification through reforms that focus on private sector-led growth in the sub-sector. In South Africa, the identification of electrification as a public problem by the post apartheid government leads to an integrated policy framework that focuses on balancing economic concerns with social and environmental considerations. The study identifies electricity provision as a social welfare responsibility of the governments in both countries and examines the policy issues in the context of public welfare. In Nigeria, the policy issues are found to be self serving and not in line with sustainable public interest, given the socio-economic challenges. As a result they, exert less impact on achieving the goal of universal access to quality and affordable electricity in the country. In South Africa, good governance in the sub-sector has enabled the identification of policy issues in line with sustainable public interests of social equity, poverty alleviation and environmental sustainability; and government using public administration agencies to play a key role in service delivery. Recommendations of the study mainly derive from the South African experience on electrification, and are intended to offer some policy-lessons to Nigeria in the sub-sector. The study contributes to new knowledge in the discipline of public administration by opening up new vistas for a comparative analysis of electric power policy issues in both countries in the context of public welfare. Besides, a comparative study on electrification in Nigeria and South Africa from a policy angle contributes to the existing knowledge base in the discipline.

This study estimates the price and income elasticity coefficients of electricity demand in the mining sector of South Africa for the period ranging from April 2006 to March 2019. A time varying parameter (TVP) model with the Kalman filter is applied to monitor the evolution of the elasticity estimates. The TVP model can provide a robust estimation of elasticities and can detect any outliers and structural breaks. The results indicate that income and price elasticity coefficients of electricity demand are lower than unit. The income elasticity of demand has a positive sign and it is statistically significant. This indicates that mining production – used as a proxy for mining income – is a significant determinant of electricity consumption in the mining sector. In its final state income elasticity is estimated at 0.15 per cent. On the contrary, price does not play a significant role in explaining electricity demand. In fact, the price elasticity coefficient was found to be positive which is contrary to normal economic convention. This lack of response is attributed mainly to the mining sector’s inability to respond, rather than an unwillingness to do so. A fixed coefficient model in a form of Ordinary Least Squares (OLS) is used as a benchmark model to estimate average price and income elasticity coefficients for the period. The results of the OLS regression model confirm that price does not play a significant role in explaining electricity consumption in the mining sector. An average price elasticity coefficient of -0.007 has been estimated. Income elasticity was estimated at 0.11 for the period under review. The CUSUM of squares test indicate that parameters of the model are unstable. The Chow test confirms 2009 as a breakpoint in the data series. This means that elasticity coefficients of electricity demand in the mining sector are time variant. Thus the OLS results cannot be relied upon for inference purposes. The Kalman filter results are superior. This study cautions policy makers not to interpret the seeming lack of response to price changes as an indication that further prices increases could be implemented without hampering electricity consumption in the sector. Furthermore, it recommends that the electricity pricing policy should take into account both the negative impacts of rapid price increases and the need to invest in long-term electricity infrastructure in order to improve the security of energy supply. A long term electricity price path should be introduced in order to provide certainty and predictability in the price trajectory. This would allow all sectors of the economy sufficient time and space to make investment and operational decisions that would have the least adverse effects on economic growth and job creation. / Economics / M. Com. (Economics)