Efficient operation scheduling for adsorption chillers using predictive optimization-based control methods

4th International Conference on Mechanical Engineering Research

Bürger, Adrian^1,3 ; Sawant, Parantapa^2 ; Bohlayer, Markus^1 ; Altmann-DIeses, Angelika^1 ; Braun, Marco^1 ; DIehl, Moritz^3

Faculty of Management Science and Engineering, Karlsruhe University of Applied Sciences, Moltkestraße 30, Karlsruhe

76133, Germany^1

Institute of Energy Systems Technology, Offenburg University of Applied Sciences, Badstraße 24, Offenburg

77652, Germany^2

Systems Control and Optimization Laboratory, Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 102, Freiburg

79110, Germany^3

关键词: Adsorption cooling;    Conventional schemes;    Gradient-based optimization method;    Internal functioning;    Operation scheduling;    Optimization-based scheduling;    Optimized scheduling;    Predictive control methods;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/257/1/012007/pdf
DOI  :  10.1088/1757-899X/257/1/012007

来源: IOP

【 摘 要 】

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.