Abstract
As the United Arab Emirates is diversifying its energy sources, it is increasingly looking towards solar photovoltaic technology as a viable option. A key factor in promoting this option is the capability to forecast financial viability of solar projects. This paper uses stochastic analysis instead of deterministic analysis and applies it on potential UAE solar power projects to obtain a wider understanding of the variability associated with financial performance, based on the variability and uncertainty in independent input variables.
| Original language | British English |
|---|---|
| Title of host publication | 2013 International Conference on Engineering, Technology and Innovation, ICE 2013 and IEEE International Technology Management Conference, ITMC 2013 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781467373838 |
| DOIs | |
| State | Published - 10 Dec 2015 |
| Event | 19th International Conference on Engineering, Technology and Innovation, ICE 2013 and IEEE International Technology Management Conference, ITMC 2013 - The Hague, Netherlands Duration: 24 Jun 2013 → 26 Jun 2013 |
Publication series
| Name | 2013 International Conference on Engineering, Technology and Innovation, ICE 2013 and IEEE International Technology Management Conference, ITMC 2013 |
|---|
Conference
| Conference | 19th International Conference on Engineering, Technology and Innovation, ICE 2013 and IEEE International Technology Management Conference, ITMC 2013 |
|---|---|
| Country/Territory | Netherlands |
| City | The Hague |
| Period | 24/06/13 → 26/06/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Levelized Cost
- Monte-Carlo Simulations
- Stochastic Analysis
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