Knowledge hub

Author(s)
Martin Skarle (Preem) and Jesús Gil (Inprocess)

Congress
Aspentech Users Group Meeting (Optimize2019)

Abstract / Summary
Joint oral contribution to Aspentech's Users Conference Optimize 2019 held in Houston, TX (USA) in May 2020

Author(s)
José M. Nougués, Josep A. Feliu, Gerard Campanya, Eduardo Iraola, Lluís Batet, Luis Sedano

Magazine
Fusion Science and Technology, vol. 76, no. 5, pp. 649–652, Jul. 2020

Abstract/Summary
Chemical plants system modelling experience based on the use of largely validated commercial modelling tools such as Aspen HYSYS is adapted and exploited to develop numeric routines for unitary isotopic operations: permeation, cold trapping, reversible absorption and cryogenic distillation at ITER Tritium Plant Systems. Model prediction capabilities and isotopic database inputs for first principle models are discussed. Numeric implementation of Aspen HYSYS routines are presented.

Author(s)
Eduardo Iraola, José M. Nougués, Josep A. Feliu, Gerard Campanya, Lluís. Batet, Luis Sedano

Congress
12th International Conference on Tritium Science and Technology (Tritium 2019)

Abstract/Summary
Advanced tritium transfer modelling tools for ITER/DEMO Plant Systems Aspen HYSYS are developed based on our large experience of Chemical Plants Systems modelling; scientific background and tritium expertise.

Author(s)
Eduardo Iraola, José María Nougués, Lluís Batet, Luis Sedano

Congress
Reunión Virtual de la Sociedad Nuclear Española 2020

Abstract/Summary
Mención: Mejor póster Reunión SNE 2020. Los métodos para la monitorización de tritio previstos en ITER consisten en detener periódicamente su operación para medir de la cantidad global de tritio en planta. Como mejora de futuras plantas de fusión, en este trabajo se propone una estrategia de monitorización de tritio basada en la combinación de machine learning y simulación de planta. Se muestra, además, una de las tareas involucradas en este desarrollo, el modelado y validación de un sistema de referencia que servirá como banco de pruebas para la estrategia propuesta.

Author(s)
Josep-Anton Feliu and Miquel Àngel Alós (Inprocess) and Michele Manzulli (Virtual Materials Group Europe)

Magazine
2018. Cutting-Edge Technology for Carbon Capture, Utilization and Storage (CETCCUS), Pages: 135 - 146

Abstract / Summary
The associated gas of an oil-producing field in off-shore Brazil is treated to remove water, hydrocarbon condensate, H2S and CO2. For environmental reasons, the CO2-rich permeate stream from the gas treatment process must be re-injected into the reservoir. Several compression systems boost the pressure of the permeate stream (2.5 bara) to a pressure in the range of 450–550 bara, pressure level suitable for reinjection. Many blowdown valves are installed along the compression systems, the associated pipelines and equipment. Hazard analysis did identify the potentiality for solid CO2 (dry ice) formation during depressurization (blowdown) in, basically, any section of the different process units. The formation of dry ice during depressurization constitutes a threat to the safety integrity of the system. Several simulation studies have been carried out to determine if in current process conditions the depressurization of the process sections could lead to the formation of dry ice. VMGSim, from Virtual Materials Group (VMG), was the dynamic process simulator of choice due to the availability of the APR-SolidCO2 property package, which allowed for the quantitative determination of the dry-ice formation. The dynamic analysis performed with the simulator allowed to determine the amount of dry ice formed, the time when the CO2 started to appear, and the time when CO2 melted back and disappeared. Once the formation of dry ice was confirmed by the different dynamic analysis, several mitigation techniques were planned and tested with additional dynamic simulation runs that helped to diminish the dry-ice appearance and its impact on plant performance.