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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},
}