Type | Thesis or Dissertation - Masters of Science in Engineering |
Title | Modelling the potential impact of net metering in South Africa |
Author(s) | |
Publication (Day/Month/Year) | 2013 |
URL | http://open.uct.ac.za/bitstream/handle/11427/11060/thesis_ebe_2013_mccall_b.pdf?sequence=1 |
Abstract | As a result of increasing environmental concerns, as well as electricity prices in South Africa, people are beginning to take the environmental and energy problem into their own hands through the investment and installation of their own power producing systems. This is not a new phenomenon, but as solar photovoltaic (PV) technology is coming down in costs and electricity prices within the country are increasing, more people will look to solar PV or other small sized electricity generators for supplementing their energy needs while taking some measure of action against climate change. ‘Net metering’ is the term used to describe the method of feeding excess electrical energy onto the distribution grid from these small systems in the residential sector. The capacity of each individual system may only be on the order of a few kW, but on a national scale this can become a sizable contributor. With all the effort in understanding the options for future electricity generation in South Africa, there is little work done on understanding the scale and impact that net metering systems will have. This work aims to fill the gap in research of this understudied aspect of the energy system. Research using energy models is important to developing countries. Most of the current energy modelling software available requires a significant amount of money and learning before they can be fully utilised. OSeMOSYS is an open source – free - energy modelling software which has a lower learning curve, enabling a variety of researcher’s access to the model and its components, opening up huge potential for improvement and development. 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. Depending on the initial assumptions, the capacity projections start between a mere 0.4MW and 4.5MW in 2012 and grow to between 395MW and 2620MW by 2030. The total new added capacity of energy producing technologies in the OSeMOSYS energy model is 47.27GW between 2006 and 2030. The majority of this is supercritical coal technology power plants, with hydro imports and peaking gas turbines mixed in. The share of wind and solar technologies which includes concentrated solar thermal with storage technology is 4.4% of the total capacity. |
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