{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/11060"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/11060","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"Modelling the potential impact of net metering in South Africa","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["McCall, Bryce"],"institution":"Department of Electrical Engineering","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Hughes, Alison","Merven, Bruno"],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013","date_published":"2013","updated_at":"2026-07-22T22:23:19Z","subjects":[],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11427/11060","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Hughes, Alison","Merven, Bruno"]},{"key":"dc:creator","label":"Author","values":["McCall, Bryce"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2015-01-03T04:57:13Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2015-01-03T04:57:13Z"]},{"key":"dc:date.issued","label":"Date","values":["2013"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Department of Electrical Engineering"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Cape Town"]},{"key":"dc:type","label":"Dc Type","values":["Master Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Masters"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["MSc"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11427/11060"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Includes abstract.","Includes bibliographical references."]},{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:title","label":"Title","values":["Modelling the potential impact of net metering in South Africa"]}]}],"canonical_facts":{"dc:contributor.advisor":["Hughes, Alison","Merven, Bruno"],"dc:creator":["McCall, Bryce"],"dc:date.accessioned":["2015-01-03T04:57:13Z"],"dc:date.available":["2015-01-03T04:57:13Z"],"dc:date.issued":["2013"],"dc:description":["Includes abstract.","Includes bibliographical references."],"dc:description.abstract":["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."],"dc:identifier.uri":["http://hdl.handle.net/11427/11060"],"dc:language.iso":["eng"],"dc:publisher.department":["Department of Electrical Engineering"],"dc:publisher.institution":["University of Cape Town"],"dc:title":["Modelling the potential impact of net metering in South Africa"],"dc:type":["Master Thesis"],"dc:type.qualificationlevel":["Masters"],"dc:type.qualificationname":["MSc"]},"updated_at":"2026-07-22T22:23:19Z"}