A "risk-induced" emission mitigation pathway for Kazakhstan

被引:5
作者
De Miglio, Rocco [1 ]
Bakdolotov, Aidyn [1 ,2 ]
机构
[1] Energy Expert Econ Res Inst, Astana, Kazakhstan
[2] Astana IT Univ, Astana, Kazakhstan
关键词
Kazakhstan; GHG emissions mitigation; Energy systems models; Multi -criteria decision making; Trade-off analysis; Modelling of risk;
D O I
10.1016/j.esr.2024.101332
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The key goal of this research is to propose a method (and a tool) to explore the evolution of the energy sector in Kazakhstan subject to a flexible "user-defined" criterion (e.g. perception of risk of competitiveness loss for the system), so as to trigger the transition towards the emission reduction in an "indirect" manner. The undertaken experiments show that risk reduction policies can be very "synergic" with mitigation ambitions, or, in other words, that the transition towards GHG mitigation can be pushed by other forces (rather than by pure environmental concerns only). The potential beneficiaries of such a type of analysis are groups of stakeholders of various nature: decision makers, academia, civil society, experts interested in proposing/testing alternative formulation of the additional criterion of the analysis (risky configuration of the energy mix) and in assessing the impacts on the energy and climate dynamics of Kazakhstan. The "basic" structure of the model (upon which the updated and more targeted version of the model used in this study is built) is available on a collaborative platform. This study is part of the research material that aims to support the investigation of carbon neutrality pathways in Kazakhstan and it can be seen as a continuation and further development of the "Kazakhstan's Road to Net Zero GHG Emission Vision".
引用
收藏
页数:9
相关论文
共 17 条
  • [1] Amit Kanudia, 2013, Int. J. Energy Sect. Manag.
  • [2] Antunes C.H., 2016, Multiple Criteria Decision Analysis, P1067
  • [3] Bakdolotov A, 2017, HELIYON, V3, DOI 10.1016/j.heliyon.2017.e00283
  • [4] A participatory multi-criteria approach for power generation and transmission planning
    Bertsch, Valentin
    Fichtner, Wolf
    [J]. ANNALS OF OPERATIONS RESEARCH, 2016, 245 (1-2) : 177 - 207
  • [5] Review: Multi-objective optimization methods and application in energy saving
    Cui, Yunfei
    Geng, Zhiqiang
    Zhu, Qunxiong
    Han, Yongming
    [J]. ENERGY, 2017, 125 : 681 - 704
  • [6] Modelling the geopolitical impact on risk assessment of energy supply system: The case of Italian crude oil supply
    Desogus, Eleonora
    Grosso, Daniele
    Bompard, Ettore
    Lo Russo, Stefano
    [J]. ENERGY, 2023, 284
  • [7] ETSAP, 2016, Stochastic Programming and Tradeoff Analysis in TIMES
  • [8] github, Kazakhstan is a region of the multiregional model available here
  • [9] Karamaneas A., 2022, The Palgrave Handbook of Zero Carbon Energy Systems and Energy Transitions. Palgrave Studies in Energy Transitions, DOI [10.1007/978-3-030-74380-2_1-1, DOI 10.1007/978-3-030-74380-2_1-1]
  • [10] Kerimray A., 2015, Lect. Notes Eng., V30, P141, DOI [10.1007/978-3-319-16540-0_8, DOI 10.1007/978-3-319-16540-0_8]