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Multi-criteria evaluation of renewable and nuclear resources for electricity generation in Kazakhstan.

Ahmad, Salman; Nadeem, Abid; Akhanova, Gulzhanat; Houghton, Tom; Muhammad-Sukki, Firdaus


Salman Ahmad

Abid Nadeem

Gulzhanat Akhanova

Tom Houghton

Firdaus Muhammad-Sukki


Kazakhstan's electricity generation depends heavily on fossil fuels. Renewables and other non-fossil resources provide potential alternatives to diversify the electricity generation system. In this paper, various potential local non-fossil fuel resources, hydro, solar, wind, biomass and uranium are reviewed and an assessment framework for prioritizing these resources is established. A multi-criteria decision making approach, analytic hierarchy process (AHP) based on expert opinion, is utilized for developing the assessment model, using four main criteria of technical, economic, social and environmental aspects and thirteen sub-criteria. The review reveal that Kazakhstan has ample potential to develop a non-fossil fuel based electricity system. Furthermore, the model shows hydro to be the most favorable resource followed by solar; wind and nuclear are ranked third and fourth, respectively while biomass is found to be the least attractive option. It is also found that each resource is inclined towards a particular criterion; hydro towards social, solar towards economic, nuclear towards technical, with biomass and wind directed towards environmental. Besides reporting the use of the AHP model for the first time in the Kazakhstan context, the assessment carried out in this paper can assist decision-makers to articulate long-term energy policy for any country.


AHMAD, S., NADEEM, A., AKHANOVA, G., HOUGHTON, T. and MUHAMMAD-SUKKI, F. 2017. Multi-criteria evaluation of renewable and nuclear resources for electricity generation in Kazakhstan. Energy [online], 141, pages 1880-1891. Available from:

Journal Article Type Article
Acceptance Date Nov 17, 2017
Online Publication Date Nov 20, 2017
Publication Date Dec 15, 2017
Deposit Date Nov 21, 2017
Publicly Available Date Nov 21, 2018
Journal Energy
Print ISSN 0360-5442
Electronic ISSN 1873-6785
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 141
Pages 1880-1891
Keywords Kazakhstan; Analytic hierarchy process; Multicriteria decision making; Electricity
Public URL


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