Control Degrees of Freedom for Optimal Operation and Extending Remaining Useful Life
Doctoral thesis
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https://hdl.handle.net/11250/2656034Utgivelsesdato
2020Metadata
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Sammendrag
While the transition to renewable energy sources is happening faster than ever, traditional energy sources such as oil and gas still make up a large part of the energy portfolio, and will continue to do so for many years to come. Subsea technology is becoming increasingly important, as it enables production from fields which were previously deemed infeasible. However, placing production and processing equipment on the seabed comes with challenges tied to reliability and automation.
Maintenance costs can be very high, since maintenance intervention of a subsea installation usually involves the retrieval and replacement of entire modules with specialized lifting ships, as well as lost production. For this reasons, unplanned maintenance interventions must be avoided.
Another issue is that of uncertainty. Measurements are inaccurate and scarce. Equipment degradation models are often poor or non-existing, due to the stochastic nature of degradation processes. If not dealt with properly, this uncertainty renders useless any attempt at planning production and maintenance of the plant.
In this thesis, I have addressed some of the issues of subsea operation by developing strategies for integrating equipment health and reliability information into the control and production planning, to obtain a so-called health-aware control structure. To ensure that the solution is optimal despite model uncertainty, we apply robust problem formulations.
I also developed a new approach to combined optimization of maintenance scheduling and production planning. I show that for certain processes, the combined problem can be formulated as a non-linear program (NLP) instead of a mixed-integer program (MIP), and be solved using standard, off-the-shelf solvers. The solution obtained this way is near globally optimal, and performs much better than a clock- or age-based maintenance schedule, which is common in industry today.
Består av
Verheyleweghen, Adriaen; Jaeschke, Johannes. Framework for Combined Diagnostics, Prognostics and Optimal Operation of a Subsea Gas Compression System. IFAC-PapersOnLine 2017 ;Volum 50.(1) s. 15916-15921 https://doi.org/10.1016/j.ifacol.2017.08.2365Verheyleweghen, Adriaen; Jaeschke, Johannes. Combined Reliability and Optimal Operation: Application to an LNG Liquefaction Plant
Verheyleweghen, Adriaen; Jäschke, Johannes; Gjøby, Julie Marie. Health-Aware Operation of a Subsea Compression System Subject to Degradation. European Symposium on Computer Aided Process Engineering Computer Aided Chemical Engineering, Volume 43, 2018, Pages 1021-1026 https://doi.org/10.1016/B978-0-444-64235-6.50179-0
Verheyleweghen, Adriaen; Jäschke, Johannes. Oil production optimization of several wells subject to choke degradation. IFAC-PapersOnLine 2018 ;Volum 51.(8) s. 1-6 https://doi.org/10.1016/j.ifacol.2018.06.346
Verheyleweghen, Adriaen; Srivastav, Himanshu; Barros, Anne; Jäschke, Johannes. A Unified Approach for Simultaneous Optimization of Production and Maintenence Schedules. © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Verheyleweghen, Adriaen; Jäschke, Johannes Ernst Peter. Robust Health Aware Operation of a Subsea Gas Compression System. FOCAPO/CPC 2017
Verheyleweghen, Adriaen; Srivastav, Himanshu; Barros, Anne; Jäschke, Johannes. Combined Maintenance Scheduling and Production Optimization. I: Proceedings of the 29th European Safety and Reliability Conference(ESREL) https:doi.org/:10.3850/978-981-11-2724-30253-cd