Scenario-based forecast for the electricity demand in Qatar and the role of energy efficiency improvements

B-Tier
Journal: Energy Policy
Year: 2019
Volume: 127
Issue: C
Pages: 155-164

Authors (3)

Khalifa, Ahmed (not in RePEc) Caporin, Massimiliano (Università degli Studi di Pado...) Di Fonzo, Tommaso (not in RePEc)

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:eee:enepol:v:127:y:2019:i:c:p:155-164
Journal Field
Energy
Author Count
3
Added to Database
2026-01-25