Abstract
Aquifer Thermal Energy Storage (ATES) is a cost-effective and energy-saving technology associated with heating and cooling of buildings or districts. Particularly in combination with cogeneration systems, the overall system performance can be affected positively by storage and recovery of large quantities of thermal energy in the subsurface. ATES has developed from a demonstratio nstage to an established technology over the past decades. However, in Germany there are only three existing projects yet. Since 2010, there are plans to integrate an aquifer storage into an existing District Heating System (DHS) in Lueneburg, which is supplied by two cogeneration units. The hydrogeological conditions (e.g. water chemistry or thickness of the natural aquifer) at 450 m depth are matehing with the size of the DHS. With respect to financial aspects, seasonal energy storage in an aquifer reinforces the connection between thermal and electric energy systems due to cogeneration. Purpose of this paper is to demonstrate case studies based on energetic overall system performance considerations to evaluate future energy systems with ATES. A system comparison (with ATES and without ATES) indicates an increase of cogeneration by more than 20%. In the same way, the conventional heat production with natural gas decreases by 2.3 GWh/a while the generation of renewable electricity increases by 2.8 GWh/a.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Fachmedien Wiesbaden GmbH
About this paper
Cite this paper
Strodel, N., Opel, O., Kranz, S., Werner, K.F., Ruck, W.K.L. (2017). Optimization of Cogeneration by Seasonal Heat Storage in an Aquifer. In: Schulz, D. (eds) NEIS Conference 2016. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-15029-7_17
Download citation
DOI: https://doi.org/10.1007/978-3-658-15029-7_17
Publisher Name: Springer Vieweg, Wiesbaden
Print ISBN: 978-3-658-15028-0
Online ISBN: 978-3-658-15029-7
eBook Packages: Computer Science and Engineering (German Language)