TY  - JOUR
AU  - Bau, Uwe
AU  - Baumgärtner, Nils
AU  - Seiler, Jan
AU  - Lanzerath, Franz
AU  - Kirches, Christian
AU  - Bardow, André
TI  - Optimal operation of adsorption chillers: First implementation and experimental evaluation of a nonlinear model-predictive-control strategy
JO  - Applied thermal engineering
VL  - 149
SN  - 1359-4311
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - FZJ-2019-04445
SP  - 1503 - 1521
PY  - 2019
AB  - 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%
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000460492300132
DO  - DOI:10.1016/j.applthermaleng.2018.07.078
UR  - https://juser.fz-juelich.de/record/864788
ER  -