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@ARTICLE{Wijesinghe:1047157,
      author       = {Wijesinghe, Lovindu and Weinand, Jann Michael and Hoffmann,
                      Maximilian and Stolten, Detlef},
      title        = {{M}odeling disruptive events in renewable energy supply:
                      {A} review},
      journal      = {Sustainable energy technologies and assessments},
      volume       = {83},
      issn         = {2213-1388},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2025-04114},
      pages        = {104561 -},
      year         = {2025},
      abstract     = {The accelerating shift toward renewable energy necessitates
                      robust planning frameworks that can accommodate unexpected
                      disruptions. While various energy system modeling methods
                      are widely used for planning and decision-making, they each
                      have their own strengths and weaknesses in capturing
                      uncertainty in the outcomes of disruptive event modeling.
                      This review addresses a critical research gap by
                      systematically analyzing how such methods quantify and
                      mitigate the impact of disruptive events on renewable energy
                      supply. It is the first to comprehensively assess modeling
                      approaches specifically in this context. The study
                      categorizes 108 disruptive events from 102 articles into
                      four primary types: natural (e.g., floods, heatwaves),
                      human-caused intentional (e.g., technological innovations),
                      socio-political (e.g., wars, policy changes), and economic
                      (e.g., interest rate shifts, carbon tax changes). Articles
                      were selected using a PRISMA-compliant methodology from
                      multiple sources, applying strict inclusion criteria:
                      relevance to renewable energy, a clear focus on disruptive
                      events, and use of modeling methods. Findings confirm the
                      hypothesis that incorporating broader socio-economic and
                      environmental criteria into modeling improves the robustness
                      and realism of planning under disruptive conditions. The
                      review shows that relying on one modeling objective such as
                      cost often limits the ability to capture uncertainty and
                      stakeholder concerns. Instead, models that integrate
                      multiple criteria and generate a range of feasible solutions
                      offer more resilient and adaptable planning outcomes. The
                      study recommends combining complementary modeling strategies
                      and tailoring criteria to stakeholder priorities. Such
                      combined modeling approaches are well suited to future
                      studies, enabling flexible, risk-informed, and
                      context-sensitive modeling of disruptive events in renewable
                      energy supply systems.},
      cin          = {ICE-2},
      ddc          = {333.7},
      cid          = {I:(DE-Juel1)ICE-2-20101013},
      pnm          = {1111 - Effective System Transformation Pathways (POF4-111)
                      / 1112 - Societally Feasible Transformation Pathways
                      (POF4-111) / 110 - Energiesystemdesign (ESD) (POF4-100)},
      pid          = {G:(DE-HGF)POF4-1111 / G:(DE-HGF)POF4-1112 /
                      G:(DE-HGF)POF4-110},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1016/j.seta.2025.104561},
      url          = {https://juser.fz-juelich.de/record/1047157},
}