Dr Dallia Ali d.ali@rgu.ac.uk
Senior Lecturer
Impact of integrating large-capacity hybrid renewable energy systems into Qatar's power grid.
Ali, Dallia; Khalil, Shady
Authors
Shady Khalil
Abstract
The implementation of large-scale renewable energy systems (such as solar and wind) in the GCC is widely growing nowadays, particularly in remote areas generation applications where the grid extension is costly. The integration of renewable energy systems into the existing power grids, especially the hybrid ones like hybrid solar wind systems, not only provide a clean environmentally friendly supply of electricity but also provide a more reliable supply of electricity through the utilization of different energy sources.
Citation
ALI, D. and KHALIL, S. 2016. Impact of integrating large-capacity hybrid renewable energy systems into Qatar's power grid. In Proceedings of the 2016 Qatar Foundation Annual research conference (ARC'16): towards world-class research and innovation, 22-23 March 2016, Dohar, Qatar. Dohar: Hamad bin Khalifa University Press [online], EEOP2240. Available from: https://doi.org/10.5339/qfarc.2016.eeop2240
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | 2016 Qatar Foundation Annual research conference (ARC'16): towards world-class research and innovation |
Start Date | Mar 22, 2016 |
End Date | Mar 23, 2016 |
Publication Date | 2016 |
Deposit Date | Mar 30, 2023 |
Publicly Available Date | Mar 30, 2023 |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.5339/qfarc.2016.eeop2240 |
Keywords | Renewable energy systems; Solar energy; Wind energy; Large-scale; Integration |
Public URL | https://rgu-repository.worktribe.com/output/1925021 |
Files
ALI 2016 Impact of integrating large (VOR)
(242 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
Copyright Statement
© 2016 Ali, Khalil, licensee HBKU Press.
You might also like
Hydrogen energy storage
(2019)
Book Chapter
Downloadable Citations
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search