Operational optimization of networks of compressors considering condition-based maintenance

Xenos, Dionysios P.; Kopanos, Georgios M.; Cicciotti, Matteo; Thornhill, Nina F.

doi:10.1016/j.compchemeng.2015.08.008

Cited by 37 publications

(14 citation statements)

References 24 publications

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“…In many processes, such as polymerization reactions, or purification processes, it is not uncommon for the unit capacity to "degrade" after a task has been processed on that unit [76][77][78][79][80][81]. This can be, for example, due to residue formation (e.g., scaling) or impurity accumulation (e.g., membrane pore blockages).…”

Section: Unit Capacity Degradation and Maintenancementioning

confidence: 99%

A General State-Space Formulation for Online Scheduling

Gupta

Maravelias

2017

Processes

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Abstract:We present a generalized state-space model formulation particularly motivated by an online scheduling perspective, which allows modeling (1) task-delays and unit breakdowns; (2) fractional delays and unit downtimes, when using discrete-time grid; (3) variable batch-sizes; (4) robust scheduling through the use of conservative yield estimates and processing times; (5) feedback on task-yield estimates before the task finishes; (6) task termination during its execution; (7) post-production storage of material in unit; and (8) unit capacity degradation and maintenance. Through these proposed generalizations, we enable a natural way to handle routinely encountered disturbances and a rich set of corresponding counter-decisions. Thereby, greatly simplifying and extending the possible application of mathematical programming based online scheduling solutions to diverse application settings. Finally, we demonstrate the effectiveness of this model on a case study from the field of bio-manufacturing.

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Section: Unit Capacity Degradation and Maintenancementioning

confidence: 99%

A General State-Space Formulation for Online Scheduling

Gupta

Maravelias

2017

Processes

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“…where please note the use of parameter θ τ ijt in Equations (79), (80), (82), and (84). The assignment constraint is:…”

Section: Integrated Modelmentioning

confidence: 99%

Combined Scheduling and Control

2018

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“…Model predictive control is used with this hybrid dynamic model and compared to fixed washing schedules. Xenos et al (2016) investigate an air separation plant. Optimal operation and the maintenance of compressor networks are part of the developed MILP model.…”

Section: Introductionmentioning

confidence: 99%

Optimal Maintenance Scheduling for Washing of Compressors to Increase Operational Efficiency

Spüntrup

Ave

Imsland

et al. 2019

Computer Aided Chemical Engineering

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The need for simultaneously decreasing carbon emissions and increasing operational profit motivates gas turbine and gas compressor operators to understand, minimize and control performance deterioration. Fouling is one of the most prevalent deterioration problems. This work addresses the causes and effects of fouling and investigates an approach to give decision-support on if, how often and when compressor washing should be conducted. Integration with other maintenance actions is also considered. In this work, a discrete time-scheduling approach that follows the Resource Task Network framework is developed and formulated as a Mixed Integer Linear Program. A novel enumerator formulation makes this method simpler and easier to extend for different maintenance types than existing methods. Degradation is included in a linearized way for a case study from the Oil and Gas industry. Results indicate that washing scheduling is beneficial for the profit. This study gives the foundation for decision-support regarding additional investments in existing production systems, amortization, and supplies optimal maintenance schedules for various applied maintenance types.

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Operational optimization of networks of compressors considering condition-based maintenance

Cited by 37 publications

References 24 publications

A General State-Space Formulation for Online Scheduling

A General State-Space Formulation for Online Scheduling

Combined Scheduling and Control

Optimal Maintenance Scheduling for Washing of Compressors to Increase Operational Efficiency

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