% 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”.
@ARTICLE{Linssen:819315,
author = {Linssen, Jochen and Stenzel, Peter and Fleer, Johannes},
title = {{T}echno-economic analysis of photovoltaic battery systems
and the influence of different consumer load profiles},
journal = {Applied energy},
volume = {185},
number = {Part 2},
issn = {0306-2619},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2016-05016},
pages = {2019-2025},
year = {2017},
abstract = {This contribution presents cost optimisation results from a
techno-economic perspective of photovoltaic battery systems.
The simulation based optimisation takes into consideration
temporal high-resolution consumer load and PV production
profiles, technical and economical PV and battery system
parameters as well as the regulatory framework in Germany.
The results include the cost optimal system configuration
under the given framework, the share of self-consumption,
degree of autarky, grid feed-in and supply as well as
various battery system parameters. The ratio of the
installed PV peak power to the useable capacity of the
battery was found to have a significant impact on
self-consumption, autarky and economic efficiency of the
overall system and is one of technical key parameters for a
cost-optimised system sizing. The break-even battery system
price compared to PV systems without BESS is calculated to
approx. 900 €/kWh (without BESS support scheme) to 1200
€/kWh (with German BESS support scheme). However, the
individual taxation of revenues can lower the break-even
costs significantly. Furthermore, the techno-economic
analysis identifies a high sensitivity to regulation frame
conditions and support schemes of PV and BESS for cost
optimisation. Another key finding is that realistic load and
production profiles must be used in order to allow for
reliable statements concerning technical parameters and
economic feasibility. Otherwise, cost optimisation results
might overestimate self-consumption and lead to an incorrect
calculation of the total costs.},
cin = {IEK-STE},
ddc = {620},
cid = {I:(DE-Juel1)IEK-STE-20101013},
pnm = {153 - Assessment of Energy Systems – Addressing Issues of
Energy Efficiency and Energy Security (POF3-153)},
pid = {G:(DE-HGF)POF3-153},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000390494800103},
doi = {10.1016/j.apenergy.2015.11.088},
url = {https://juser.fz-juelich.de/record/819315},
}