Technology learning for renewable energy: implications for South Africa's long-term mitigation scenarios
dc.contributor.author | Winkler, Harald | |
dc.contributor.author | Haw, Mary | |
dc.contributor.author | Hughes, Alison | |
dc.date.accessioned | 2016-02-08T08:16:48Z | |
dc.date.available | 2016-02-08T08:16:48Z | |
dc.date.issued | 2009 | |
dc.date.updated | 2016-02-03T09:39:37Z | |
dc.description.abstract | Technology learning can make a significant difference to renewable energy as a mitigation option in South Africa’s electricity sector. This article considers scenarios implemented in a Markal energy model used for mitigation analysis. It outlines the empirical evidence that unit costs of renewable energy technologies decline, considers the theoretical background and how this can be implemented in modeling. Two scenarios are modelled, assuming 27% and 50% of renewable electricity by 2050, respectively. The results show a dramatic shift in the mitigation costs. In the less ambitious scenario, instead of imposing a cost of Rand 52/tCO2-eq (at 10% discount rate), reduced costs due to technology learning turn renewables into negative cost option. Our results show that technology learning flips the costs, saving R143. At higher penetration rate, the incremental costs added beyond the base case decline from R92 per ton to R3. Including assumptions about technology learning turns renewable from a higher-cost mitigation option to one close to zero. We conclude that a future world in which global investment in renewables drives down unit costs makes it a much more cost-effective and sustainable mitigation option in South Africa. | en_ZA |
dc.identifier.apacitation | Winkler, H., Haw, M., & Hughes, A. (2009). Technology learning for renewable energy: implications for South Africa's long-term mitigation scenarios. <i>Energy Policy</i>, http://hdl.handle.net/11427/16874 | en_ZA |
dc.identifier.chicagocitation | Winkler, Harald, Mary Haw, and Alison Hughes "Technology learning for renewable energy: implications for South Africa's long-term mitigation scenarios." <i>Energy Policy</i> (2009) http://hdl.handle.net/11427/16874 | en_ZA |
dc.identifier.citation | Winkler, H.; Hughes, A. & Haw, M. (2009) Technology learning for renewable energy: implications for South Africa's long-term mitigation scenarios. Energy Policy 37:4987–4996. | en_ZA |
dc.identifier.issn | 0301-4215 | en_ZA |
dc.identifier.ris | TY - Journal Article AU - Winkler, Harald AU - Haw, Mary AU - Hughes, Alison AB - Technology learning can make a significant difference to renewable energy as a mitigation option in South Africa’s electricity sector. This article considers scenarios implemented in a Markal energy model used for mitigation analysis. It outlines the empirical evidence that unit costs of renewable energy technologies decline, considers the theoretical background and how this can be implemented in modeling. Two scenarios are modelled, assuming 27% and 50% of renewable electricity by 2050, respectively. The results show a dramatic shift in the mitigation costs. In the less ambitious scenario, instead of imposing a cost of Rand 52/tCO2-eq (at 10% discount rate), reduced costs due to technology learning turn renewables into negative cost option. Our results show that technology learning flips the costs, saving R143. At higher penetration rate, the incremental costs added beyond the base case decline from R92 per ton to R3. Including assumptions about technology learning turns renewable from a higher-cost mitigation option to one close to zero. We conclude that a future world in which global investment in renewables drives down unit costs makes it a much more cost-effective and sustainable mitigation option in South Africa. DA - 2009 DB - OpenUCT DP - University of Cape Town J1 - Energy Policy LK - https://open.uct.ac.za PB - University of Cape Town PY - 2009 SM - 0301-4215 T1 - Technology learning for renewable energy: implications for South Africa's long-term mitigation scenarios TI - Technology learning for renewable energy: implications for South Africa's long-term mitigation scenarios UR - http://hdl.handle.net/11427/16874 ER - | en_ZA |
dc.identifier.uri | http://hdl.handle.net/11427/16874 | |
dc.identifier.vancouvercitation | Winkler H, Haw M, Hughes A. Technology learning for renewable energy: implications for South Africa's long-term mitigation scenarios. Energy Policy. 2009; http://hdl.handle.net/11427/16874. | en_ZA |
dc.language | eng | en_ZA |
dc.publisher | Elsevier | en_ZA |
dc.publisher.department | Energy Research Centre | en_ZA |
dc.publisher.faculty | Faculty of Engineering and the Built Environment | |
dc.publisher.institution | University of Cape Town | |
dc.source | Energy Policy | en_ZA |
dc.source.uri | http://www.journals.elsevier.com/energy-policy/ | |
dc.subject.other | Sustainable development | |
dc.subject.other | Climatic changes | |
dc.subject.other | Greenhouse gas mitigation | |
dc.title | Technology learning for renewable energy: implications for South Africa's long-term mitigation scenarios | en_ZA |
dc.type | Journal Article | en_ZA |
uct.subject.keywords | Technology learning | en_ZA |
uct.subject.keywords | Renewable energy | en_ZA |
uct.subject.keywords | Climate change mitigation | en_ZA |
uct.type.filetype | Text | |
uct.type.filetype | Image | |
uct.type.publication | Research | en_ZA |
uct.type.resource | Article | en_ZA |