Scenario-based forecast for the electricity demand in Qatar and the role of energy efficiency improvements
| Author | Khalifa A. |
| Author | Caporin M. |
| Author | Di Fonzo T. |
| Available date | 2020-04-09T12:27:30Z |
| Publication Date | 2019 |
| Publication Name | Energy Policy |
| Resource | Scopus |
| ISSN | 3014215 |
| Abstract | We model the electricity consumption in the market segment that compose the Qatari electricity market. We link electricity consumption to GDP growth and Population Growth. Building on the estimated model, we develop long-range forecasts of electricity consumption from 2017 to 2030 over different scenarios for the economic drivers. In addition, we proxy for electricity efficiency improvements by reducing the long-run elasticity of electricity consumption to GDP and Population. We show that electricity efficiency has a crucial role in controlling the future development of electricity consumption. Energy policies should consider this aspect and support both electricity efficiency improvement programs, as well as a price reform. |
| Sponsor | This paper was made possible by NPRP grant # [ NPRP9-232-5-026 ] from the Qatar National Research Fund (a member of Qatar Foundation, Qatar). The statements made herein are solely the responsibility of the authors. In addition, we thank the Conservation and Energy Efficiency Department at KAHRAMAA, the Qatar General Electricity and Water Corporation, for their cooperation and providing us with a detailed dataset that was fundamental for the estimation and forecasting process. |
| Language | en |
| Publisher | Elsevier Ltd |
| Subject | C32 C53 Electricity consumption Electricity efficiency O13 Q47 Scenario-based forecast |
| Type | Article |
| Pagination | 155-164 |
| Volume Number | 127 |
Check access options
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
|
There are no files associated with this item. |
|||
This item appears in the following Collection(s)
-
Accounting & Information Systems [478 items ]