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

Ahmed Khalifa, Massimiliano Caporin and Tommaso Di Fonzo

Energy Policy, 2019, vol. 127, issue C, 155-164

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.

Keywords: O13; Q47; C32; C53; Electricity consumption; Electricity efficiency; Scenario-based forecast (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:127:y:2019:i:c:p:155-164

DOI: 10.1016/j.enpol.2018.11.047

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