Agizza, Maria Angela ; Bagheri, Ghobad ; Bürkle, Sebastian ; Faravelli, Tiziano ; Wagner, Steven ; Dreizler, Andreas (2022)
Investigation of Oxy-Fuel Combustion through Reactor Network and Residence Time Data.
In: Energies, 2022, 15 (1)
doi: 10.26083/tuprints-00020279
Article, Secondary publication, Publisher's Version
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| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Investigation of Oxy-Fuel Combustion through Reactor Network and Residence Time Data |
| Language: | English |
| Date: | 22 April 2022 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 2022 |
| Publisher: | MDPI |
| Journal or Publication Title: | Energies |
| Volume of the journal: | 15 |
| Issue Number: | 1 |
| Collation: | 17 Seiten |
| DOI: | 10.26083/tuprints-00020279 |
| Corresponding Links: | |
| Origin: | Secondary publication DeepGreen |
| Abstract: | Oxy-fuel combustion is a promising strategy to minimize the environmental impact of combustion-based energy conversion. Simple and flexible tools are required to facilitate the successful integration of such strategies at the industrial level. This study couples measured residence time distribution with chemical reactor network analysis in a close-to-reality combustor. This provides detailed knowledge about the various mixing and reactive characteristics arising from the use of the two different oxidizing streams. |
| Uncontrolled Keywords: | oxy-fuel combustion, chemical reactor network (CRN), residence time distribution (RTD), carbon capture and storage (CCS) |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-202791 |
| Classification DDC: | 600 Technology, medicine, applied sciences > 600 Technology |
| Divisions: | 16 Department of Mechanical Engineering > Institute of Reactive Flows and Diagnostics (RSM) |
| Date Deposited: | 22 Apr 2022 12:12 |
| Last Modified: | 14 Nov 2023 19:04 |
| SWORD Depositor: | Deep Green |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/20279 |
| PPN: | 500476594 |
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