Study of Scenario Analysis of the Electricity Market of Kazakhstan Using Renewable Energy Sources on the PyPSA Tool

This study presents a scenario analysis of Kazakhstan’s electricity market using the PyPSA-KZ model, with a focus on the integration of renewable energy sources (RES). As Kazakhstan transitions towards a low-carbon economy, this study evaluates the technical and economic implications of increasing RES penetration under various scenarios, ranging from 10% to 60% RES shares, with projections targeted for the year 2030. The study simulates system behavior across scenarios and analyzes key indicators, including total system cost, electricity tariff, generation mix, thermal ramping, and CO2 emissions. Results indicate that up to 30% RES integration is feasible without significant structural changes, delivering reduced system costs and emissions. However, scenarios beyond 30% reveal growing flexibility challenges, necessitating investment in grid modernization, energy storage, and flexible backup capacity. The model outcomes are benchmarked against the International Energy Agency’s 2030 carbon neutrality scenarios and show strong alignment, particularly at 45% RES share. Comparative insights are also drawn from international experiences in Denmark and China. This research demonstrates that the PyPSA-KZ model is a powerful tool for planning Kazakhstan’s energy transition and offers data-driven recommendations to support national energy security and climate goals.

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Publication Details

Journal
Applied Sciences
Published
2025-10-28
DOI
https://doi.org/10.3390/app152111497
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
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article

Study of Scenario Analysis of the Electricity Market of Kazakhstan Using Renewable Energy Sources on the PyPSA Tool

Ruslan Omirgaliyev, Nurkhat Zhakiyev, Adema Shauyenova, Nargiz Merlenkyzy et al.
Applied Sciences
Integrated Energy Systems Optimization
article

Study of Scenario Analysis of the Electricity Market of Kazakhstan Using Renewable Energy Sources on the PyPSA Tool

Ruslan Omirgaliyev, Nurkhat Zhakiyev, Adema Shauyenova, Nargiz Merlenkyzy, Akniyet Maulen
article en

Abstract

This study presents a scenario analysis of Kazakhstan’s electricity market using the PyPSA-KZ model, with a focus on the integration of renewable energy sources (RES). As Kazakhstan transitions towards a low-carbon economy, this study evaluates the technical and economic implications of increasing RES penetration under various scenarios, ranging from 10% to 60% RES shares, with projections targeted for the year 2030. The study simulates system behavior across scenarios and analyzes key indicators, including total system cost, electricity tariff, generation mix, thermal ramping, and CO2 emissions. Results indicate that up to 30% RES integration is feasible without significant structural changes, delivering reduced system costs and emissions. However, scenarios beyond 30% reveal growing flexibility challenges, necessitating investment in grid modernization, energy storage, and flexible backup capacity. The model outcomes are benchmarked against the International Energy Agency’s 2030 carbon neutrality scenarios and show strong alignment, particularly at 45% RES share. Comparative insights are also drawn from international experiences in Denmark and China. This research demonstrates that the PyPSA-KZ model is a powerful tool for planning Kazakhstan’s energy transition and offers data-driven recommendations to support national energy security and climate goals.

Applied SciencesVol. 15(21)
Harvard University Press (US), Astana Medical University (KZ)
Openalex Percentile: Top 69%
Integrated Energy Systems Optimization
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