2017
DOI: 10.1002/cite.201700033
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Real‐Time Optimization in the Chemical Processing Industry

Abstract: The advancements of computation capabilities and efficient flowsheet simulators have led simulation based real-time optimization (RTO) of continuous processes to become a prominent topic in the last years. This contribution discusses prerequisites to help guarantee the economic viability of an RTO project as well as the deliberations that should be performed prior to its initiation. Additionally, considerations regarding collaborations with various technical fields are highlighted and approaches to alleviate s… Show more

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Cited by 15 publications
(11 citation statements)
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References 22 publications
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“…Data science solutions for model switching will choose the best model being part of the digital twin for the current, control, optimization, or estimation task. This can be supplemented with sematic sensors, in which expert knowledge is embedded-speeding up an implementation project of model-based real-time optimization (RTO) in the process industry [23].…”
Section: Smart Sensor Applications: the Only Constant Is Changementioning
confidence: 99%
“…Data science solutions for model switching will choose the best model being part of the digital twin for the current, control, optimization, or estimation task. This can be supplemented with sematic sensors, in which expert knowledge is embedded-speeding up an implementation project of model-based real-time optimization (RTO) in the process industry [23].…”
Section: Smart Sensor Applications: the Only Constant Is Changementioning
confidence: 99%
“…Therefore, in these cases detailed analysis or offline optimization is in general restricted to process parts with predictive models like distillation sequences. As long as in a larger process model only about one or two unit operations are based on descriptive models and the rest is based on predictive models, these process models can be used to support process operation in online applications like condition and performance monitoring and real‐time optimization .…”
Section: Mso Tools For Single Process Simulationmentioning
confidence: 99%
“…In general, the use of online optimization seems to be more successful than offline applications, although the effort is only justified in special cases . A robust implementation and application is challenging and expensive, therefore the improvement of such methods should support efficient setup, since the benefit in contribution margin due to the constraints of the plants is often only in the lower 1‐digit percent range.…”
Section: Mso Tools For Single Process Simulationmentioning
confidence: 99%
“…39 The easy implementation and robustness allows PAT to support the development from the laboratory to an industrial scale. 40,41 This makes PAT a promising candidate for the in situ monitoring of visible light induced photocatalytic reactions.…”
Section: Introductionmentioning
confidence: 99%