It is well known that in these kind of processes, the level of sulfur allowed in the feed gas is normally very low (ppb range) and aggressively kept low due to the poisoning effects. The practice generally is to get sulfur levels down as close as possible to zero.
The poisoning effects are well studied in research work and significant information exists in that regard. It is, e.g. known that the poisoning action of sulfur would typically increase selectivity towards more hydrogenated ethane relative to ethylene (the more attractive product). At high enough levels it would kill catalyst activity completely.
This paper highlights the role of sulfur in a typical commercial operation. Data from a period of almost 2 years was used. It was found that under the prevailing actual commercial scale operating conditions, sulfur did not behave as a poison to the catalyst. However, its effect did not become completely negligible either. There were strong indications of sulfur promoting selectivity shifts towards more olefinic C2-product. These results were also independently confirmed on a different set of data and a different kind of commercial reactor. 相似文献
Our method has a low state omission probability and low memory usage that is independent of the length of the state vector. In addition, the algorithm can be easily parallelised. This combination of probability and parallelism enables us to rapidly explore state spaces that are an order of magnitude larger than those obtainable using conventional exhaustive techniques.
We derive a performance model of this new algorithm in order to quantify its benefits in terms of distributed run-time, speedup and efficiency. We implement our technique on a distributed-memory parallel computer and demonstrate results which compare favourably with the performance model. Finally, we discuss suitable choices for the three hash functions upon which our algorithm is based. 相似文献