Abstract
A process plant functions properly, if the containment (pipework, apparatuses, vessels etc.) of the materials is intact and all parameters, which characterize its state such as temperatures, mass flows, pressures, concentrations etc. are within their design tolerance ranges. A prerequisite is, of course, the correct design of the plant, whose fundamentals were treated in the preceding chapters. It must be pointed out that the tolerance ranges mentioned above can vary with different operational states such as start-up, coast-down and full or partial load.
How safe is safe enough?
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Notes
- 1.
Complement of the survival probability (reliability) of Table 9.1.
- 2.
In [3] the word primary failure is used. However, since one does not always refer to a failure, the more general term “primary event” is used here. Often the term “component failure” is applied.
- 3.
The following derivations are carried out for failure rates and apply analogously to unavailabilities as well.
- 4.
Boolean or binary variables and the corresponding functions only adopt two values: 0 or 1.
- 5.
Only the most widely used procedure is presented here. It is restricted to two component states and two system states. In [44] an extension of the Boolean algebra is proposed which enables one to treat components and systems with more than two states (e.g. for valves: open, closed, half closed). However, there is the difficulty of determining probabilities for intermediate states of components and their impacts on the dynamic behaviour of the systems.
- 6.
In what follows system structures are illustrated by means of flowing fluids and valves; it goes without saying that the statements made apply quite generally for any type of component.
- 7.
If the analysis pursues the objective of establishing the functioning of the system the analogous sets are called path sets. The set notation is only occasionally applied; use of the associated binary functions is more common.
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Hauptmanns, U. (2015). Investigation of Engineered Plant Systems. In: Process and Plant Safety. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40954-7_9
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