Bofinger, SStander, Johan N2018-09-252018-09-252017-11Bofinger, S. and Stander, J.N. 2017. LCOE estimation in aggregated wind/PV study. WINDABA 2017, 15-16 November 2017, Cape Town, South Africahttp://hdl.handle.net/10204/10421Presentation delivered during WINDABA 2017, 15-16 November 2017, Cape Town, South AfricaCSIR, SANEDI, Eskom and Fraunhofer IWES conducted a study to holistically quantify the wind-power potential in South Africa, and the portfolio effects of widespread spatial wind and solar power aggregation in South Africa. Wind Atlas South Africa (WASA) data was used to simulate wind power across South Africa. Key results showed that South Africa exhibits world-class conditions to introduce very large amounts of variable renewables into the electricity system.enWind powerSolar PVWind Atlas South AfricaConference PresentationBofinger, S., & Stander, J. N. (2017). LCOE estimation in aggregated wind/PV study. http://hdl.handle.net/10204/10421Bofinger, S, and Johan N Stander. "LCOE estimation in aggregated wind/PV study." (2017): http://hdl.handle.net/10204/10421Bofinger S, Stander JN, LCOE estimation in aggregated wind/PV study; 2017. http://hdl.handle.net/10204/10421 .TY - Conference Presentation AU - Bofinger, S AU - Stander, Johan N AB - CSIR, SANEDI, Eskom and Fraunhofer IWES conducted a study to holistically quantify the wind-power potential in South Africa, and the portfolio effects of widespread spatial wind and solar power aggregation in South Africa. Wind Atlas South Africa (WASA) data was used to simulate wind power across South Africa. Key results showed that South Africa exhibits world-class conditions to introduce very large amounts of variable renewables into the electricity system. DA - 2017-11 DB - ResearchSpace DP - CSIR KW - Wind power KW - Solar PV KW - Wind Atlas South Africa LK - https://researchspace.csir.co.za PY - 2017 T1 - LCOE estimation in aggregated wind/PV study TI - LCOE estimation in aggregated wind/PV study UR - http://hdl.handle.net/10204/10421 ER -