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@INPROCEEDINGS{Althaus:1029191,
author = {Althaus, Philipp and Johnen, Sascha and Xhonneux, André
and Müller, Dirk},
title = {{C}loud-based controller architecture for the testing of
conventional and model predictive room heating controllers
in a real-world environment; 10th ed.},
reportid = {FZJ-2024-05021},
pages = {1-6},
year = {2024},
abstract = {The prevailing problem of climate change urges the shift to
climate-neutral energy supply and efficient energy use in
all areas of society and industry. The share of energy usage
for room heating is relatively high and therefore an
important field to improve the efficiency as well as
CO2-footprint of the energy supply. Currently, there is
still a gap between scientific knowledge about possible
energy savings by the application of dedicated control
strategies and a wide application in society. Within this
work, we contribute to close this gap by showing the design
of a cloud-based, configurable room heating control
algorithm and investigate the effects on energy demand and
occupant comfort in a living-lab field test. Results
indicate that the use of forecasted schedules in combination
with control algorithms to exploit them can significantly
change the thermal demand while maintaining thermal comfort
and is well applicable.},
month = {Jul},
date = {2024-07-01},
organization = {10th International Conference on
Control, Decision and Information
Technologies, Valletta (Malta), 1 Jul
2024 - 4 Jul 2024},
cin = {ICE-1},
cid = {I:(DE-Juel1)ICE-1-20170217},
pnm = {1123 - Smart Areas and Research Platforms (POF4-112) /
EnOB: LLEC: Living Lab Energy Campus (03ET1551A) / LLEC -
Living Lab Energy Campus (LLEC-2018-2023)},
pid = {G:(DE-HGF)POF4-1123 / G:(BMWi)03ET1551A /
G:(DE-HGF)LLEC-2018-2023},
typ = {PUB:(DE-HGF)8},
UT = {WOS:001345039101140},
doi = {10.1109/CoDIT62066.2024.10708077},
url = {https://juser.fz-juelich.de/record/1029191},
}