Publikationer pr. år
Publikationer pr. år
Projektdetaljer
Beskrivelse
The key objective is to prepare an advanced process control system based on the model predictive control (MPC) principles and novel sensor technology that significantly reduces the oil in the produced discharge water from off-shore installations.
This project is cooperated with DTU-Computer, DTU-DHRTC, Total DK and ABB, under support from DHRTC. AAU budget: 1.8mill DKK.
This project is cooperated with DTU-Computer, DTU-DHRTC, Total DK and ABB, under support from DHRTC. AAU budget: 1.8mill DKK.
| Kort titel | MPC |
|---|---|
| Akronym | MPC |
| Status | Afsluttet |
| Effektiv start/slut dato | 01/10/2020 → 31/12/2023 |
Samarbejdspartnere
- Technical University of Denmark
- TOTAL E&P Danmark A/S
- ABB Group
Finansiering
Fingerprint
Udforsk forskningsemnerne, som dette projekt berører. Disse etiketter er oprettet på grundlag af de underliggende bevillinger/legater. Sammen danner de et unikt fingerprint.
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Hammerstein–Wiener Model Identification for Oil-in-Water Separation Dynamics in a De-Oiling Hydrocyclone System
Jespersen, S., Yang, Z., Hansen, D. S., Kashani, M. & Huang, B., okt. 2023, I: Energies. 16, 20, 7095.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Hammerstein-Wiener Model Identification of De-oiling Hydrocyclone Separation Efficiency
Jespersen, S., Kashani, M. & Yang, Z., 2023, 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023. IEEE, s. 2508-2513 6 s. 10284508. (International Conference on Control, Decision and Information Technologies (CoDIT)).Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
1 Citationer (Scopus)