% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@INPROCEEDINGS{Glcker:1039466,
author = {Glücker, Philipp and Mhanna, Sleiman and Pesch, Thiemo and
Mancarella, Pierluigi and Benigni, Andrea},
title = {{E}lectrical {S}torage {D}esign in {M}ulti-{E}nergy
{S}ystems: {I}mpact of {C}omponent {M}odel {C}hoice},
publisher = {IEEE},
reportid = {FZJ-2025-01760},
pages = {1-5},
year = {2024},
abstract = {The transition towards coupled energy sectorswithin
multi-energy systems (MES) requires explicit modellingof
more components and thus requires careful decisions on
thelevel of modelling details. The focus commonly lies on
one energysector, with strong simplifications for the
remaining coupledenergy sectors. However, the impact of
model choice on the MESplanning solution is largely
unexplored. This work therefore setsout to investigate the
impact of component model choice in anMES with electricity
and heat for sizing a community batteryenergy storage system
(BESS). Our analysis examines the impactof the choice of
model of the power grid, the heating network, theheat pump,
and the thermal building. Our results show a 49 $\%increase$
in BESS size when using the convex second-order
coneformulation compared to the exact nonlinear AC OPF
equationsfor the power grid. The linear formulation results
in 58 $\%oversizing$ and suboptimal placement of the BESS.
Furthermore,explicitly modelling the heating network does
not significantlyimpact the design results but increases the
computational efforts.Different heat pump models show
minimum impact on the BESSdesign and location, thus our
findings suggest that linear modelsfor the heat pump are
suitable. However, omitting thermaldemand and storage
capabilities overestimates the BESS sizeby 42 $\%.$ This
further emphasizes the necessity of explicitlymodelling the
coupled heating sector and its thermal inertia forrealistic
electrical storage designs.},
month = {Oct},
date = {2024-10-14},
organization = {2024 IEEE PES Innovative Smart Grid
Technologies Europe (ISGT EUROPE),
Dubrovnik (Croatia), 14 Oct 2024 - 17
Oct 2024},
cin = {ICE-1},
cid = {I:(DE-Juel1)ICE-1-20170217},
pnm = {1122 - Design, Operation and Digitalization of the Future
Energy Grids (POF4-112)},
pid = {G:(DE-HGF)POF4-1122},
typ = {PUB:(DE-HGF)8},
UT = {WOS:001451133800335},
doi = {10.1109/ISGTEUROPE62998.2024.10863645},
url = {https://juser.fz-juelich.de/record/1039466},
}