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

  • 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.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.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/2484
Bibliografische Angaben
Title (English):Efficient operation scheduling for adsorption chillers using predictive optimization-based control methods
Conference:4th International Conference on Mechanical Engineering Research (ICMER2017), 1-2 August 2017, Kuantan, Pahang, Malaysia
Author:Adrian Bürger, Parantapa Amarsinh SawantStaff MemberORCiDGND, Markus Bohlayer, Angelika Altmann-Dieses, Marco Braun, Moritz Diehl
Year of Publication:2017
First Page:1
Last Page:10
Article Number:012007
Parent Title (English):IOP Conference Series: Materials Science and Engineering
Volume:257
ISSN:1757-8981
DOI:https://doi.org/10.1088/1757-899X/257/1/012007
Language:English
Inhaltliche Informationen
Institutes:Fakultät Maschinenbau und Verfahrenstechnik (M+V)
Institutes:Bibliografie
Formale Angaben
Open Access: Open Access 
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International