dc.contributor.author |
Kekana, H
|
|
dc.contributor.author |
Landwehr, Gregory B
|
|
dc.date.accessioned |
2019-06-28T08:12:31Z |
|
dc.date.available |
2019-06-28T08:12:31Z |
|
dc.date.issued |
2019-06 |
|
dc.identifier.citation |
Kekana, H. and Landwehr, Gregory, B. 2019. Wind capacity factor calculator. Journal of Energy in Southern Africa, vol. 30(2): 118-125 |
en_US |
dc.identifier.issn |
1021-447X |
|
dc.identifier.issn |
2413-3051 |
|
dc.identifier.uri |
https://journals.assaf.org.za/index.php/jesa/issue/view/253
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|
dc.identifier.uri |
http://hdl.handle.net/10204/11013
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|
dc.description |
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Copyright remains with the author(s). Publishing rights remain with the author(s). |
en_US |
dc.description.abstract |
The wind capacity factor calculator is developed to perform two main tasks: to estimate the annual energy production from the wind resource at any location in South Africa, and to compare the two datasets used in its operation with standard error analysis to determine whether both datasets are suitable for use. This paper focuses on how the software was developed and on error analysis between the CSIR PV/ wind aggregation study data and the latest Wind Atlas for South Africa data. The results will indicate the way forward after determining whether the error found between the two datasets is significant enough to replace the former with latter, going forward. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
UCT’s Energy Research Centre |
en_US |
dc.relation.ispartofseries |
Worklist;22456 |
|
dc.subject |
Capacity factor |
en_US |
dc.subject |
Efficiency |
en_US |
dc.subject |
Mean absolute error |
en_US |
dc.subject |
Pearson Correlation Coefficient |
en_US |
dc.subject |
Wind Atlas for South Africa |
en_US |
dc.subject |
Wind energy |
en_US |
dc.title |
Wind capacity factor calculator |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Kekana, H., & Landwehr, G. B. (2019). Wind capacity factor calculator. http://hdl.handle.net/10204/11013 |
en_ZA |
dc.identifier.chicagocitation |
Kekana, H, and Gregory B Landwehr "Wind capacity factor calculator." (2019) http://hdl.handle.net/10204/11013 |
en_ZA |
dc.identifier.vancouvercitation |
Kekana H, Landwehr GB. Wind capacity factor calculator. 2019; http://hdl.handle.net/10204/11013. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Kekana, H
AU - Landwehr, Gregory B
AB - The wind capacity factor calculator is developed to perform two main tasks: to estimate the annual energy production from the wind resource at any location in South Africa, and to compare the two datasets used in its operation with standard error analysis to determine whether both datasets are suitable for use. This paper focuses on how the software was developed and on error analysis between the CSIR PV/ wind aggregation study data and the latest Wind Atlas for South Africa data. The results will indicate the way forward after determining whether the error found between the two datasets is significant enough to replace the former with latter, going forward.
DA - 2019-06
DB - ResearchSpace
DP - CSIR
KW - Capacity factor
KW - Efficiency
KW - Mean absolute error
KW - Pearson Correlation Coefficient
KW - Wind Atlas for South Africa
KW - Wind energy
LK - https://researchspace.csir.co.za
PY - 2019
SM - 1021-447X
SM - 2413-3051
T1 - Wind capacity factor calculator
TI - Wind capacity factor calculator
UR - http://hdl.handle.net/10204/11013
ER -
|
en_ZA |