
handle: 11250/235134
In this Thesis the Aspen HYSYS dynamic functionalities were explored in order to build a dynamic Wet Gas Compressor model. In particular the Automation feature was used to implement two different correction methods, interpolation and Wood?s correction, that accounts for wet gas impact on compression performance, in dynamic-state. This was done through the creation of a VBA script in Microsoft Excel. The implementation of the correction methods showed to be fast and effective.The HYSYS dynamic model and the VBA script were used to explore the performance of the compressor and the system under different operating conditions including wet gas showing that the total compressor power decreases when the GVF decreases. Additionally, the pipeline inlet pressure signal registered a maximum overshoot of 10% which seems to be acceptable. The major drawback of the Wood?s correction method is it can report higher efficiencies at wet gas conditions than a dry gas conditions, which is inconsistent with experimental tests
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
