INTEGRATION COSTS OF RENEWABLE ENERGY TECHNOLOGIES IN FUTURE ENERGY GENERATION SCENARIOS
The objective of the paper is to understand the integration costs of renewable energy technologies (RETs) in future energy generation scenarios for South Africa. The study used PLEXOS1 to conduct a bottom-up hourly simulation, incorporating the high renewable energy scenarios of the World Wildlife F...
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doaj-ce5fcc5ff2144347851620afde4b88b72020-11-25T03:00:57ZengStellenbosch UniversitySouth African Journal of Industrial Engineering1012-277X2224-78902018-08-01292284210.7166/29-2-1801INTEGRATION COSTS OF RENEWABLE ENERGY TECHNOLOGIES IN FUTURE ENERGY GENERATION SCENARIOSSklar-Chik, Mark D.0Brent, Alan C. 1De Kock, Imke Hanlu 2Energy Exemplar LLC; Stellenbosch University, South AfricaStellenbosch University, South Africa; Victoria University of Wellington, New ZealandStellenbosch University, South AfricaThe objective of the paper is to understand the integration costs of renewable energy technologies (RETs) in future energy generation scenarios for South Africa. The study used PLEXOS1 to conduct a bottom-up hourly simulation, incorporating the high renewable energy scenarios of the World Wildlife Fund (WWF) for 2030, in which RET penetrations are projected to be below 20 per cent. After verification and validation of the model by PLEXOS subject matter experts, the final model was run with two cases: a base case, and a constraint case. The results for these two cases for the year 2030 exhibited system costs of R0.39/kWh and R0.48/kWh respectively. A secondary output was the levelised cost of energy values for a number of energy generation technologies. A sensitivity analysis subsequently revealed that the largest contributor to a change in system costs is the demand forecast, followed by an increase in renewable energy outputs. Finally, recommendations are made to improve future energy modelling research by addressing the key assumptions of this research inquiry.http://sajie.journals.ac.za/pub/article/view/1801renewable energy technologiessouth africaplexos |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sklar-Chik, Mark D. Brent, Alan C. De Kock, Imke Hanlu |
spellingShingle |
Sklar-Chik, Mark D. Brent, Alan C. De Kock, Imke Hanlu INTEGRATION COSTS OF RENEWABLE ENERGY TECHNOLOGIES IN FUTURE ENERGY GENERATION SCENARIOS South African Journal of Industrial Engineering renewable energy technologies south africa plexos |
author_facet |
Sklar-Chik, Mark D. Brent, Alan C. De Kock, Imke Hanlu |
author_sort |
Sklar-Chik, Mark D. |
title |
INTEGRATION COSTS OF RENEWABLE ENERGY TECHNOLOGIES IN FUTURE ENERGY GENERATION SCENARIOS |
title_short |
INTEGRATION COSTS OF RENEWABLE ENERGY TECHNOLOGIES IN FUTURE ENERGY GENERATION SCENARIOS |
title_full |
INTEGRATION COSTS OF RENEWABLE ENERGY TECHNOLOGIES IN FUTURE ENERGY GENERATION SCENARIOS |
title_fullStr |
INTEGRATION COSTS OF RENEWABLE ENERGY TECHNOLOGIES IN FUTURE ENERGY GENERATION SCENARIOS |
title_full_unstemmed |
INTEGRATION COSTS OF RENEWABLE ENERGY TECHNOLOGIES IN FUTURE ENERGY GENERATION SCENARIOS |
title_sort |
integration costs of renewable energy technologies in future energy generation scenarios |
publisher |
Stellenbosch University |
series |
South African Journal of Industrial Engineering |
issn |
1012-277X 2224-7890 |
publishDate |
2018-08-01 |
description |
The objective of the paper is to understand the integration costs of renewable energy technologies (RETs) in future energy generation scenarios for South Africa. The study used PLEXOS1 to conduct a bottom-up hourly simulation, incorporating the high renewable energy scenarios of the World Wildlife Fund (WWF) for 2030, in which RET penetrations are projected to be below 20 per cent. After verification and validation of the model by PLEXOS subject matter experts, the final model was run with two cases: a base case, and a constraint case. The results for these two cases for the year 2030 exhibited system costs of R0.39/kWh and R0.48/kWh respectively. A secondary output was the levelised cost of energy values for a number of energy generation technologies. A sensitivity analysis subsequently revealed that the largest contributor to a change in system costs is the demand forecast, followed by an increase in renewable energy outputs. Finally, recommendations are made to improve future energy modelling research by addressing the key assumptions of this research inquiry. |
topic |
renewable energy technologies south africa plexos |
url |
http://sajie.journals.ac.za/pub/article/view/1801 |
work_keys_str_mv |
AT sklarchikmarkd integrationcostsofrenewableenergytechnologiesinfutureenergygenerationscenarios AT brentalanc integrationcostsofrenewableenergytechnologiesinfutureenergygenerationscenarios AT dekockimkehanlu integrationcostsofrenewableenergytechnologiesinfutureenergygenerationscenarios |
_version_ |
1724695827514916864 |