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@ARTICLE{Bau:864788,
author = {Bau, Uwe and Baumgärtner, Nils and Seiler, Jan and
Lanzerath, Franz and Kirches, Christian and Bardow, André},
title = {{O}ptimal operation of adsorption chillers: {F}irst
implementation and experimental evaluation of a nonlinear
model-predictive-control strategy},
journal = {Applied thermal engineering},
volume = {149},
issn = {1359-4311},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2019-04445},
pages = {1503 - 1521},
year = {2019},
abstract = {The control strategy strongly influences the performance of
adsorption chillers: efficiency and power density depend on
phase times for adsorption and desorption. The optimal phase
times depend on system characteristics, inlet conditions,
and user’s preferences regarding the trade-off between
efficiency and power density. In principle, these optimal
phase times can be determined during operation using
nonlinear model predictive control (NMPC), but
implementation is complex and, therefore, still missing. In
this paper, we propose and implement a NMPC strategy at an
adsorption-chiller test stand and experimentally evaluate
the performance. The NMPC strategy combines a nonlinear
process model, state estimation, phase time optimisation,
and prediction of future inlet conditions. The NMPC is
experimentally tested for two scenarios: (1) a step in
desorption inlet temperature and (2) a typical solar-cooling
application. Comparison with a typical state-based control
shows that NMPC can increase the specific cooling power by
$31.1\%$},
cin = {IEK-10},
ddc = {690},
cid = {I:(DE-Juel1)IEK-10-20170217},
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:000460492300132},
doi = {10.1016/j.applthermaleng.2018.07.078},
url = {https://juser.fz-juelich.de/record/864788},
}