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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Main Authors: Sklar-Chik, Mark D., Brent, Alan C., De Kock, Imke Hanlu
Format: Article
Language:English
Published: Stellenbosch University 2018-08-01
Series:South African Journal of Industrial Engineering
Subjects:
Online Access:http://sajie.journals.ac.za/pub/article/view/1801
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spelling 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
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