%0 Thesis %A Schreiber, Heike %T Experiments and Validated Models for Adsorption Thermal Energy Storage in Industrial and Residential Applications; 1. Auflage %V 10 %I RWTH Aachen University %V Dissertation %C Aachen %M RWTH-2017-08146 %@ 978-3-95886-178-7 %B Aachener Beiträge zur technischen Thermodynamik %P 1 Online-Ressource (XVIII, 160 Seiten) : Illustrationen, Diagramme %D 2017 %Z Auch veröffentlicht auf dem Publikationsserver der RWTH Aachen University %Z Dissertation, RWTH Aachen University, 2017 %X Thermal energy storage (TES) helps to reduce energy consumption and peak demands by balancing heat supply and demand on all time scales from short-term to seasonal. Thus, TES is an important technology to improve flexibility and efficiency of energy systems. In particular, adsorption TES systems, which exploit the enthalpy of adsorption, provide high energy storage density and high efficiency.The present thesis therefore analyzes an adsorption TES unit for residential and industrial applications. Industrial energy supply can be made more efficient by integrating waste heat into the process heat supply and by using energy-efficient technologies. Adsorption TES contributes to both approaches: waste heat can be integrated via the heat pump effect and TES allows for energy-efficient cogeneration heat supply for batch processes.We evaluate the energy efficiency of the heat supply for an industrial batch process by adsorption TES and cogeneration. To evaluate the performance, a dynamic model of an adsorption TES unit is developed. Measurements from earlier experimental investigations of an adsorption TES unit are used to calibrate the storage model. As benchmark, a peak boiler and TES based on a phase-change material are considered. Our comparison demonstrates the significance of the process conditions for the choice of the appropriate technology. The study shows that adsorption TES offers significant potential to increase the energy efficiency: primary energy consumption can be reduced by up to 25 %F PUB:(DE-HGF)3 ; PUB:(DE-HGF)11 %9 BookDissertation / PhD Thesis %R 10.18154/RWTH-2017-08146 %U https://publications.rwth-aachen.de/record/699204