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Modeling Lebanon’s electricity sector: Alternative scenarios and their implications

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  • Dagher, Leila
  • ruble, isabella

Abstract

This paper is concerned with modeling possible future paths for Lebanon’s electricity future and evaluating them. The baseline scenario reflects the business-as-usual state of affairs and thus describes the most likely evolution of the power sector in the absence of any climate change-related or other policies. Two alternative scenarios are examined in contrast to the baseline scenario; the renewable energy scenario and the natural gas scenario. Using the Long range Energy Alternatives Planning System (LEAP) software we conduct a full-fledged scenario analysis and examine the technical, economic, and environmental implications of all scenarios. From an economic standpoint as well as from an environmental perspective both alternative scenarios are superior to the baseline. Hence, the results of the simulation show that the alternative scenarios are more environmentally and economically attractive than the baseline scenario. They would help Lebanon meet its social, environmental, and economic development goals, while at the same time providing other unquantifiable benefits that are discussed further in the paper. Anticipated barriers to the shift in energy mix from conventional sources to renewable energy sources are also presented and discussed.

Suggested Citation

  • Dagher, Leila & ruble, isabella, 2010. "Modeling Lebanon’s electricity sector: Alternative scenarios and their implications," MPRA Paper 116127, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:116127
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    More about this item

    Keywords

    renewable energy; LEAP; CO2 emissions; electricity generation; scenario analysis;
    All these keywords.

    JEL classification:

    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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