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@ARTICLE{Cardoso:848003,
author = {Cardoso, Goncarlo and Brouhard, Thomas and DeForest,
Nicholas and Wang, Dai and Heleno, Miguel and Kotzur,
Leander},
title = {{B}attery {A}ging in {M}ulti-{E}nergy {M}icrogrid {D}esign
{U}sing {M}ixed {I}nteger {L}inear {P}rogramming},
journal = {Applied energy},
volume = {231},
issn = {0306-2619},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2018-03311},
pages = {1059 - 1069},
year = {2018},
abstract = {This paper introduces a linear battery aging and
degradation model to a multi-energy microgrid sizing model
using mixed integer linear programming. The battery aging
model and its integration into a larger microgrid sizing
formulation are described. A case study is provided to
explore the impact of considering battery aging on key
results: optimal photovoltaic and storage capacities,
optimal distributed energy resources operations strategies,
and annual cost and generation metrics.The case study
results suggest that considering battery degradation in
optimal microgrid sizing problems significantly impacts the
perceived value of storage. Depending on capacity loss and
lifetime targets, considering battery degradation is shown
to decrease optimal storage capacities between 6 and $92\%$
versus scenarios that do not consider battery health. When
imposing constant distributed energy resource capacities,
inclusion of degradation can decrease optimal annual battery
cycling by as much as a factor five and reduce total annual
electricity cost savings from otherwise identical
photovoltaic and storage systems by $5–12\%.$ These
results emphasize that as batteries grow in maturity and
ubiquity for distributed energy applications, considering
battery health and capacity loss is an essential component
of any analytical tool or model to guide system planning and
decision-making.},
cin = {IEK-3},
ddc = {620},
cid = {I:(DE-Juel1)IEK-3-20101013},
pnm = {134 - Electrolysis and Hydrogen (POF3-134) / PhD no Grant -
Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405)},
pid = {G:(DE-HGF)POF3-134 / G:(DE-Juel1)PHD-NO-GRANT-20170405},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000452345400081},
doi = {10.1016/j.apenergy.2018.09.185},
url = {https://juser.fz-juelich.de/record/848003},
}