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Leitlinien Unfallchirurgie
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Extract, PDF (360 KB)
Table of Contents, PDF (47 KB)
The energy transition in Germany, with the goal of a climate-neutral energy system, requires the massive expansion of renewable energies. With a rising share of fluctuating renewable generation, the need for short- and long-term energy storage is also increasing. However, economic operation of such a long-term storage facility is desirable in order to make project development and construction attractive for storage operators and to avoid complicated incentive schemes and subsidies.
A concept for the long-term storage of electrical energy that has received little attention in previous studies is the hydrogen compressed air energy storage plant (HCAES), which uses underground salt caverns to store the working gases compressed air and hydrogen. The concept is based on the principle of the compressed air energy storage plant and additionally exploits the higher energy density of hydrogen in order to increase the storage capacity of the HCAES. To assess the economic viability of a hydrogen compressed air energy storage plant, the concept was first analysed and compared with other concepts for storing compressed air or hydrogen in salt caverns. The optimal sizing for simultaneous participation in several energy markets was investigated using a linear optimisation model with perfect foresight. The sizing results were subsequently analysed with regard to the influence of operating restrictions using a mixed-integer linear optimisation model. In addition, the influence of forecast uncertainties was examined within the framework of a rolling planning approach.
| ISBN-13 (Hard Copy) | 9783736978959 |
| ISBN-13 (eBook) | 9783736968950 |
| Final Book Format | A5 |
| Language | German |
| Page Number | 248 |
| Lamination of Cover | matt |
| Edition | 1. |
| Book Series | Schriftenreihe des Energie-Forschungszentrums Niedersachsen (EFZN) |
| Volume | 79 |
| Publication Place | Göttingen |
| Place of Dissertation | TU Clausthal |
| Publication Date | 2023-10-11 |
| General Categorization | Dissertation |
| Departments |
Energy engineering
|
| Keywords | Energy system modeling, linear optimization, mixed-integer linear optimization, energy storage, storage power plant, compressed air storage, hydrogen, day-ahead market, balancing energy, Energy system modeling, linear optimization, mixed-integer linear optimization, energy storage, storage power plant, compressed air storage, hydrogen, day-ahead market, balancing energy |