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@ARTICLE{Tsani:1032451,
      author       = {Tsani, Tsamara and Weinand, Jann Michael and Linßen,
                      Jochen and Stolten, Detlef},
      title        = {{Q}uantifying social factors for onshore wind planning –
                      {A} systematic review},
      journal      = {Renewable $\&$ sustainable energy reviews},
      volume       = {203},
      issn         = {1364-0321},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2024-06257},
      pages        = {114762 -},
      year         = {2024},
      abstract     = {The integration of social factors into quantitative
                      planning models is essential for accelerating the deployment
                      of onshore wind turbines by identifying feasible potential
                      early in the planning stage. This systematic literature
                      review analyzes the existing quantification of social
                      factors associated with onshore wind power and methods for
                      integrating these factors into planning models. Disamenities
                      due to visual and landscape impacts, proximity to
                      settlements, and justice considerations are the most
                      quantified so far and frequently cited as being the most
                      important factors affecting the social acceptance of onshore
                      wind turbines. Furthermore, the quantification of these
                      could be improved through visual impact assessment
                      techniques, standardized choice experiments, and the
                      assessment of justice beyond the spatial distribution tenet.
                      Future research should also focus on understanding the
                      dynamics of social acceptance and the resulting uncertainty
                      of quantified social factors. Amongst the different planning
                      models, multi-objective optimization has become increasingly
                      popular, as it can integrate social factors endogenously and
                      exogenously, is suitable for different planning scales, and
                      is able to examine the trade-offs between
                      cost-effectiveness, local disamenities, and distributional
                      justice. However, very few studies have investigated the
                      impact of using different methods for quantifying social
                      factors on the resulting socially- and
                      techno-economically-optimal system costs and spatial turbine
                      allocations. Challenges also remain in overcoming the
                      complexity for integrating network connection costs and
                      their externalities into planning models. This review serves
                      as an overview for energy system modelers, planners, and
                      quantitative social scientists to better integrate social
                      factors into onshore wind planning models.},
      cin          = {ICE-2},
      ddc          = {620},
      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},
      UT           = {WOS:001280786200001},
      doi          = {10.1016/j.rser.2024.114762},
      url          = {https://juser.fz-juelich.de/record/1032451},
}