@inproceedings{BuergerSawantBohlayeretal.2017,
  author    = {Adrian B{\"u}rger and Parantapa Amarsinh Sawant and Markus Bohlayer and Angelika Altmann-Dieses and Marco Braun and Moritz Diehl},
  title     = {Efficient operation scheduling for adsorption chillers using predictive optimization-based control methods},
  series = {IOP Conference Series: Materials Science and Engineering},
  volume    = {257},
  issn      = {1757-8981},
  doi       = {10.1088/1757-899X/257/1/012007},
  pages     = {1 -- 10},
  year      = {2017},
  abstract  = {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.},
  language  = {en}
}