Reducing the carbon footprint of the University of Cape Town: an energy systems approach
| dc.contributor.advisor | von Blottnitz, Harro | |
| dc.contributor.author | Gabin, Matthew | |
| dc.date.accessioned | 2024-07-04T13:51:59Z | |
| dc.date.available | 2024-07-04T13:51:59Z | |
| dc.date.issued | 2024 | |
| dc.date.updated | 2024-07-03T13:25:37Z | |
| dc.description.abstract | Universities are uniquely positioned to play a significant role in forging pathways to a sustainable future. As many of society's challenges are reflected in university systems, these can serve as useful testing grounds to inform interventions, such as emissions reduction strategies. As the University of Cape Town (UCT) has committed to several environmental sustainability goals, this dissertation investigates greenhouse gas emissions reduction pathways for UCT through an energy systems approach by constructing an energy systems simulation model to represent the institution's various proposed decarbonisation plans. The research built on UCT's series of carbon footprint reports and its proposed sustainability plans, focusing on electricity usage which required detailed data collection. This involved engaging with multiple stakeholders at different levels in order to construct an energy systems model on the LEAP (Long-range Energy Alternatives Platform) software. This dissertation specifically uses the LEAP model to conduct a scenario analysis on UCT's emissions reduction plans, while considering the drivers of the institution's energy demand. This dissertation assesses three scenarios and their impacts with regards to UCT's Scope 2 emissions: Scenario 1 studies the impact of the national grid decarbonising, Scenario 2 the impact of on-site electricity generation from solar power and, Scenario 3 the impact of implementing energy-efficiency measures to reduce the institution's overall energy demand (where each scenario is built on its predecessor). The results of the study found that the institution relies heavily on the national grid decarbonising to reach its sustainability commitments. Expected decarbonisation of the national grid could result in the institution's Scope 2 emissions being reduced by 7.5% by 2030 but accelerating thereafter for a reduction of 91.4% by 2050 (relative to 2019 emissions). In comparison, Scenario 2 would result in the institution's Scope 2 emissions being reduced by 15.1% by 2030 and growing to 97.6% by 2050 (relative to 2019 emissions). Finally, Scenario 3 would result in the institution's Scope 2 emissions being reduced by 24.5% by 2030, and by 97.9% by 2050 (relative to 2019 emissions). This dissertation found that, with the current proposed decarbonisation scenarios, that UCT is able to significantly reduce its Scope 2 emissions, but the window for meaningful own action is short-term as much of the expected reduction post 2030 is GBNMAT001 END 5069W iii from measures not implemented by the institution itself. A leading university should be leading, and not lagging society. The insights from this study have demonstrated the impact of scenario analysis on informing emissions reduction planning and importantly, provide a strong foundation in the amalgamated data sets on which future modelling work can be built. | |
| dc.identifier.apacitation | Gabin, M. (2024). <i>Reducing the carbon footprint of the University of Cape Town: an energy systems approach</i>. (). ,Faculty of Science ,Department of Environmental and Geographical Science. Retrieved from http://hdl.handle.net/11427/40298 | en_ZA |
| dc.identifier.chicagocitation | Gabin, Matthew. <i>"Reducing the carbon footprint of the University of Cape Town: an energy systems approach."</i> ., ,Faculty of Science ,Department of Environmental and Geographical Science, 2024. http://hdl.handle.net/11427/40298 | en_ZA |
| dc.identifier.citation | Gabin, M. 2024. Reducing the carbon footprint of the University of Cape Town: an energy systems approach. . ,Faculty of Science ,Department of Environmental and Geographical Science. http://hdl.handle.net/11427/40298 | en_ZA |
| dc.identifier.ris | TY - Thesis / Dissertation AU - Gabin, Matthew AB - Universities are uniquely positioned to play a significant role in forging pathways to a sustainable future. As many of society's challenges are reflected in university systems, these can serve as useful testing grounds to inform interventions, such as emissions reduction strategies. As the University of Cape Town (UCT) has committed to several environmental sustainability goals, this dissertation investigates greenhouse gas emissions reduction pathways for UCT through an energy systems approach by constructing an energy systems simulation model to represent the institution's various proposed decarbonisation plans. The research built on UCT's series of carbon footprint reports and its proposed sustainability plans, focusing on electricity usage which required detailed data collection. This involved engaging with multiple stakeholders at different levels in order to construct an energy systems model on the LEAP (Long-range Energy Alternatives Platform) software. This dissertation specifically uses the LEAP model to conduct a scenario analysis on UCT's emissions reduction plans, while considering the drivers of the institution's energy demand. This dissertation assesses three scenarios and their impacts with regards to UCT's Scope 2 emissions: Scenario 1 studies the impact of the national grid decarbonising, Scenario 2 the impact of on-site electricity generation from solar power and, Scenario 3 the impact of implementing energy-efficiency measures to reduce the institution's overall energy demand (where each scenario is built on its predecessor). The results of the study found that the institution relies heavily on the national grid decarbonising to reach its sustainability commitments. Expected decarbonisation of the national grid could result in the institution's Scope 2 emissions being reduced by 7.5% by 2030 but accelerating thereafter for a reduction of 91.4% by 2050 (relative to 2019 emissions). In comparison, Scenario 2 would result in the institution's Scope 2 emissions being reduced by 15.1% by 2030 and growing to 97.6% by 2050 (relative to 2019 emissions). Finally, Scenario 3 would result in the institution's Scope 2 emissions being reduced by 24.5% by 2030, and by 97.9% by 2050 (relative to 2019 emissions). This dissertation found that, with the current proposed decarbonisation scenarios, that UCT is able to significantly reduce its Scope 2 emissions, but the window for meaningful own action is short-term as much of the expected reduction post 2030 is GBNMAT001 END 5069W iii from measures not implemented by the institution itself. A leading university should be leading, and not lagging society. The insights from this study have demonstrated the impact of scenario analysis on informing emissions reduction planning and importantly, provide a strong foundation in the amalgamated data sets on which future modelling work can be built. DA - 2024 DB - OpenUCT DP - University of Cape Town KW - Environmental and Geographical Science LK - https://open.uct.ac.za PY - 2024 T1 - Reducing the carbon footprint of the University of Cape Town: an energy systems approach TI - Reducing the carbon footprint of the University of Cape Town: an energy systems approach UR - http://hdl.handle.net/11427/40298 ER - | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/11427/40298 | |
| dc.identifier.vancouvercitation | Gabin M. Reducing the carbon footprint of the University of Cape Town: an energy systems approach. []. ,Faculty of Science ,Department of Environmental and Geographical Science, 2024 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/40298 | en_ZA |
| dc.language.rfc3066 | Eng | |
| dc.publisher.department | Department of Environmental and Geographical Science | |
| dc.publisher.faculty | Faculty of Science | |
| dc.subject | Environmental and Geographical Science | |
| dc.title | Reducing the carbon footprint of the University of Cape Town: an energy systems approach | |
| dc.type | Thesis / Dissertation | |
| dc.type.qualificationlevel | Masters | |
| dc.type.qualificationlevel | MSc |