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s that are out of specification, intermediates and by-products, all of which normally end up as waste. These waste streams are either dumped in landfills, incinerated, or otherwise wasted, putting a burden on the environment and resulting in a negative economic impact for fertilizer producers.
an producers • Investments drivers for North American projects • Key take-aways
d Training 6. Conclusions
t to boost yield, enhance the nutrients.
vely hit the market?
ttempts making such urea models have been limited in scope and usage, due to the rapid rise in complexity, execution time, and difficulties encountered as model size increases to encompass sufficient fidelity and scope to address overall economic impact to the business. Urea plant models however can encapsulate a large amount of process knowledge and companies start realizing significant value from the use of these models in offline and online model based applications. Such applications include real-time optimization, model predictive control, data reconciliation, virtual sensors, process performance monitoring and total plant monitoring systems to name a few. This paper gives an overview on Stamicarbon’s capabilities and products related to urea plant modeling. These models are typically implemented in the ADVANCE and EVOLVE life-cycle of a urea plant. In the LAUNCH phase, grass root plants can apply the models to optimize consumption and emission figures. It allows urea producers to stay competitive with production improvements, monitoring and detection, staff training and full lifecycle support. Further, feedback will be given on the EVOLVE OPTIMIZER™ project at OCI in the Netherlands. This has been in operation since 2012.
of the fertiliser product and/or the fertiliser application technology.