Valuation of pumped storage in capacity expansion planning: a South African case study
| dc.contributor.author | Van Dongen, Caroline | en_ZA |
| dc.contributor.author | Bekker, Bernard | en_ZA |
| dc.contributor.author | Dalton, Amaris | en_ZA |
| dc.date.accessioned | 2021-12-22T08:42:10Z | |
| dc.date.available | 2021-12-22T08:42:10Z | |
| dc.date.issued | 2021 | |
| dc.description | CITATION: Van Dongen, C., Bekker, B. & Dalton, A. 2021. Valuation of pumped storage in capacity expansion planning - a South African case study. Energies, 14:6999, doi:10.3390/en14216999. | |
| dc.description | The original publication is available at https://www.mdpi.com | |
| dc.description.abstract | ENGLISH ABSTRACT: According to South Africa’s national energy policy, network penetration of variable renewable energy (VRE) generation will significantly increase by 2030. Increased associated network uncertainty creates the need for an additional flexible generation. As the planned VRE is mostly nonsynchronous PV and wind generators, additional ancillary services will also be required. Pumped Storage (PS), which is a well-established flexible generation technology with fast ramping capability and the ability to contribute various ancillary services, could help integrate increased VRE penetration on the South African network. However, in the latest revision of South Africa’s energy policy, PS was left out in favor of gas turbines and batteries as favored flexible generation options. This paper explores the two-part hypothesis that PS was disadvantaged in the formulation of a national energy mix due to: (a) ancillary services provided by PS not being explicitly monetized in energy modeling software; (b) the uncertainties associated with project costing assumptions. The value of PS in terms of providing ancillary services is firstly explored using the international literature. Secondly, the impact of input-cost uncertainties is demonstrated by comparing pumped storage, gas turbines, and batteries using levelized cost of energy (LCOE) curves and the Tools for Energy Model Optimization and Analysis (Temoa), North Carolina State University, USA, optimization software. Based on LCOE calculations using revised cost assumptions, it is found that PS may indeed be preferential to gas turbines or batteries, particularly at large load factors. The authors hope that this research contributes to the scientific understanding of the role that PS can play in supporting the integration of generation from renewable sources for effective grid operations. | en_ZA |
| dc.description.uri | https://www.mdpi.com/1996-1073/14/21/6999 | |
| dc.description.version | Publisher's version | |
| dc.format.extent | 14 pages | en_ZA |
| dc.identifier.citation | Van Dongen, C., Bekker, B. & Dalton, A. 2021. Valuation of pumped storage in capacity expansion planning - a South African case study. Energies, 14:6999, doi:10.3390/en14216999. | |
| dc.identifier.issn | 1996-1073 (online) | |
| dc.identifier.other | doi:10.3390/en14216999 | |
| dc.identifier.uri | http://hdl.handle.net/10019.1/123567 | |
| dc.language.iso | en_ZA | en_ZA |
| dc.publisher | MDPI | en_ZA |
| dc.rights.holder | Authors retain copyright | en_ZA |
| dc.subject.lcsh | Pumped storage power plants | en_ZA |
| dc.subject.lcsh | Renewable energy sources -- South Africa | en_ZA |
| dc.subject.lcsh | Photovoltaic power systems | en_ZA |
| dc.title | Valuation of pumped storage in capacity expansion planning: a South African case study | en_ZA |
| dc.type | Article | en_ZA |