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10.1016_j.ijsbe.2017.12.006.pdf (1.87 MB)

Macro-economic benefit analysis of large scale building energy efficiency programs in Qatar

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submitted on 2024-07-07, 09:41 and posted on 2024-07-07, 09:41 authored by Moncef Krarti, Fedaa Ali, Alaa Alaidroos, Mahdi Houchati

This paper evaluates the economic, environmental, and social benefits of large-scale energy efficiency programs for new and existing buildings in Qatar. Using data obtained from detailed energy audits, several proven energy efficiency measures have been analyzed through optimized based analysis to assess their impact on the energy performance for both new and existing buildings in Qatar. Moreover, a bottom-up analysis approach is considered to quantify the multiple benefits for implementing large-scale building energy efficiency programs for the building stock in Qatar. In particular, a more stringent energy efficiency code for the new constructions and three energy retrofit levels for the existing buildings are considered in the analysis. A novel macro-economic analysis using the concept of energy productivity is used to assess the cost-benefit of large-scale energy efficiency programs in Qatar. It is determined that the implementation of a government funded large-scale energy retrofit program for the existing building stock is highly cost-effective in Qatar. In particular, it is found that a large-scale energy efficiency retrofit program of existing buildings can provide a reduction of 11,000 GWh in annual electricity consumption and 2500 MW in peak demand as well as over 5400 kilo-ton per year in carbon emissions. In addition, over 4000 jobs per year can be created when this large-scale energy retrofit program is implemented over 10-year period.

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Published in: International Journal of Sustainable Built Environment
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Qatar National Research Fund (NPRP 6 - 1654 - 2 - 672), Development of an energy management analysis tool using automated calibration simulation environment to assess opportunities to reduce energy use for residential and commercial buildings.



  • English



Publication Year

  • 2017

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This Item is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Institution affiliated with

  • Hamad Bin Khalifa University
  • Qatar Environment and Energy Research Institute - HBKU

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