Dynamic operation for the effective use of green hydrogen in Power-to-X value chains
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Buch/Sammelband/Gutachten › Beigetragen › Begutachtung
Beitragende
Abstract
In the upcoming decades, the integration of renewable energies into our continuous process routes, by producing and processing green hydrogen, is of paramount importance to combat climate change. To include green hydrogen in conventional process routes large hydrogen storages or dynamic process control strategies for hydrogen processing are needed. In this work a dynamic process control strategy for a Power-to-Ammonia (PtA) value chain is studied. A PtA process plant and respective process control strategies to adjust the plant load are conceptualized. To study the feasibility, a Haber-Bosch reactor system is modeled and implemented in MATLAB 2022b. Simulation case studies are carried out to emulate load changes. The simulation shows that the conceptualized process enables an intermittent production of ammonia based on green hydrogen. Further studies with more detailed models and refined process control strategies are planned for a detailed analysis to optimize the efficiency and flexibility of the production.
Details
| Originalsprache | Englisch |
|---|---|
| Titel | 33rd European Symposium on Computer Aided Process Engineering |
| Seiten | 1267-1272 |
| Seitenumfang | 6 |
| Publikationsstatus | Veröffentlicht - Jan. 2023 |
| Peer-Review-Status | Ja |
Externe IDs
| Scopus | 85166952116 |
|---|---|
| ORCID | /0000-0002-5814-5128/work/142242031 |
| ORCID | /0000-0001-5165-4459/work/142248306 |
| ORCID | /0000-0001-7956-7955/work/142252982 |
| ORCID | /0000-0001-7012-5966/work/142253172 |
| Mendeley | 527c00d4-2fa9-3839-ae26-fa543f130340 |
Schlagworte
Forschungsprofillinien der TU Dresden
- Datenintensive Wissenschaften - Dynamic Simulation, Power-to-Ammonia, Power-to-X, Renewable Energies, Requirements Analysis
DFG-Fachsystematik nach Fachkollegium
- Automatisierungstechnik, Regelungssysteme, Robotik, Mechatronik, Cyber Physical Systems - Dynamic Simulation, Power-to-Ammonia, Power-to-X, Renewable Energies, Requirements Analysis
- Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systeme - Dynamic Simulation, Power-to-Ammonia, Power-to-X, Renewable Energies, Requirements Analysis
- Chemische und Thermische Verfahrenstechnik - Dynamic Simulation, Power-to-Ammonia, Power-to-X, Renewable Energies, Requirements Analysis
Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis
- Verfahrenstechnik - Dynamic Simulation, Power-to-Ammonia, Power-to-X, Renewable Energies, Requirements Analysis
- Automatisierungstechnik - Dynamic Simulation, Power-to-Ammonia, Power-to-X, Renewable Energies, Requirements Analysis
Ziele für nachhaltige Entwicklung
- SDG 7 – Erschwingliche und saubere Energie - Dynamic Simulation, Power-to-Ammonia, Power-to-X, Renewable Energies, Requirements Analysis
- SDG 8 – Anständige Arbeitsbedingungen und wirtschaftliches Wachstum - Dynamic Simulation, Power-to-Ammonia, Power-to-X, Renewable Energies, Requirements Analysis
- SDG 9 – Industrie, Innovation und Infrastruktur - Dynamic Simulation, Power-to-Ammonia, Power-to-X, Renewable Energies, Requirements Analysis
- SDG 13 – Klimaschutzmaßnahmen - Dynamic Simulation, Power-to-Ammonia, Power-to-X, Renewable Energies, Requirements Analysis
ASJC Scopus Sachgebiete
- Allgemeine chemische Verfahrenstechnik - Dynamic Simulation, Power-to-Ammonia, Power-to-X, Renewable Energies, Requirements Analysis
- Angewandte Informatik - Dynamic Simulation, Power-to-Ammonia, Power-to-X, Renewable Energies, Requirements Analysis
Schlagwörter
- Dynamic Simulation, Power-to-Ammonia, Power-to-X, Renewable Energies, Requirements Analysis