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The Potential of Depleted Oil Reservoirs for High-Temperature Storage Systems

Stricker, Kai Robin; Grimmer, Jens; Egert, Robert; Bremer, Judith; Gholami Korzani, Maziar; Schill, Eva; Kohl, Thomas

Abstract (englisch):
HT-ATES (high-temperature aquifer thermal energy storage) systems are a future option to shift large amounts of high-temperature excess heat from summer to winter using the deep underground. Among others, water-bearing reservoirs in former hydrocarbon formations show favorable storage conditions for HT-ATES locations. This study characterizes these reservoirs in the Upper Rhine Graben (URG) and quantifies their heat storage potential numerically. Assuming a doublet system with seasonal injection and production cycles, injection at 140 °C in a typical 70 °C reservoir leads to an annual storage capacity of up to 12 GWh and significant recovery efficiencies increasing up to 82% after ten years of operation. Our numerical modeling-based sensitivity analysis of operational conditions identifies the specific underground conditions as well as drilling configuration (horizontal/vertical) as the most influencing parameters. With about 90% of the investigated reservoirs in the URG transferable into HT-ATES, our analyses reveal a large storage potential of these well-explored oil fields. In summary, it points to a total storage capacity in depleted oil reservoirs of approximately 10 TWh a−1, which is a considerable portion of the thermal energy needs in this area.

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Postprint §
DOI: 10.5445/IR/1000127445
Veröffentlicht am 10.12.2020
DOI: 10.3390/en13246510
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Geowissenschaften (AGW)
Institut für Nukleare Entsorgung (INE)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 09.12.2020
Sprache Englisch
Identifikator ISSN: 1996-1073
KITopen-ID: 1000127445
HGF-Programm 35.14.01 (POF III, LK 01) Effiziente Nutzung geothermisch. Energie
Erschienen in Energies
Verlag MDPI
Band 13
Heft 24
Seiten Art.-Nr.: 6510
Schlagwörter HT-ATES; seasonal energy storage; depleted oil reservoirs; upper rhine graben; numerical modeling; potential analysis
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