TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Bürger, Adrian
A1  - Sawant, Parantapa Amarsinh
A1  - Bohlayer, Markus
A1  - Altmann-Dieses, Angelika
A1  - Braun, Marco
A1  - Diehl, Moritz
T1  - Efficient operation scheduling for adsorption chillers using predictive optimization-based control methods
T2  - IOP Conference Series: Materials Science and Engineering
N2  - Within this work, the benefits of using predictive control methods for the operation of Adsorption Cooling Machines (ACMs) are shown on a simulation study. Since the internal control decisions of series-manufactured ACMs often cannot be influenced, the work focuses on optimized scheduling of an ACM considering its internal functioning as well as forecasts for load and driving energy occurrence. For illustration, an assumed solar thermal climate system is introduced and a system model suitable for use within gradient-based optimization methods is developed. The results of a system simulation using a conventional scheme for ACM scheduling are compared to the results of a predictive, optimization-based scheduling approach for the same exemplary scenario of load and driving energy occurrence. The benefits of the latter approach are shown and future actions for application of these methods for system control are addressed.
Y1  - 2017
SN  - 1757-8981
SS  - 1757-8981
U6  - https://doi.org/10.1088/1757-899X/257/1/012007
DO  - https://doi.org/10.1088/1757-899X/257/1/012007
VL  - 257
SP  - 1
EP  - 10
ER  -