Optimal design of a two-stage membrane system for hydrogen separation in refining processes

Autor: Patricia Liliana Mores, Miguel C. Mussati, Ana Marisa Arias, José A. Caballero, Sergio Fabian Mussati, Nicolás J. Scenna
Přispěvatelé: Universidad de Alicante. Departamento de Ingeniería Química, Computer Optimization of Chemical Engineering Processes and Technologies (CONCEPT)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Optimal design
Materials science
MULTI-STAGE MEMBRANE SYSTEM
multi-stage membrane system
design
Bioengineering
Process design
02 engineering and technology
INGENIERÍAS Y TECNOLOGÍAS
lcsh:Chemical technology
H2 SEPARATION
NLP
lcsh:Chemistry
020401 chemical engineering
DESIGN
Chemical Engineering (miscellaneous)
lcsh:TP1-1185
Sensitivity (control systems)
0204 chemical engineering
Process engineering
Energy recovery
business.industry
Ingeniería de Procesos Químicos
Process Chemistry and Technology
Turboexpander
SIMULTANEOUS OPTIMIZATION
Process (computing)
021001 nanoscience & nanotechnology
Refinery
Ingeniería Química
operation
purl.org/becyt/ford/2.4 [https]
lcsh:QD1-999
purl.org/becyt/ford/2 [https]
Heat transfer
OPERATION
GAMS
0210 nano-technology
business
H2 separation
simultaneous optimization
Zdroj: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Processes, Vol 6, Iss 11, p 208 (2018)
Processes
Volume 6
Issue 11
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Popis: This paper fits into the process system engineering field by addressing the optimization of a two-stage membrane system for H2 separation in refinery processes. To this end, a nonlinear mathematical programming (NLP) model is developed to simultaneously optimize the size of each membrane stage (membrane area, heat transfer area, and installed power for compressors and vacuum pumps) and operating conditions (flow rates, pressures, temperatures, and compositions) to achieve desired target levels of H2 product purity and H2 recovery at a minimum total annual cost. Optimal configuration and process design are obtained from a model which embeds different operating modes and process configurations. For instance, the following candidate ways to create the driving force across the membrane are embedded: (a) compression of both feed and/or permeate streams, or (b) vacuum application in permeate streams, or (c) a combination of (a) and (b). In addition, the potential selection of an expansion turbine to recover energy from the retentate stream (energy recovery system) is also embedded. For a H2 product purity of 0.90 and H2 recovery of 90%, a minimum total annual cost of 1.764 M$·
year&minus
1 was obtained for treating 100 kmol·
h&minus
1 with 0.18, 0.16, 0.62, and 0.04 mole fraction of H2, CO, N2, CO2, respectively. The optimal solution selected a combination of compression and vacuum to create the driving force and removed the expansion turbine. Afterwards, this optimal solution was compared in terms of costs, process-unit sizes, and operating conditions to the following two sub-optimal solutions: (i) no vacuum in permeate stream is applied, and (ii) the expansion turbine is included into the process. The comparison showed that the latter (ii) has the highest total annual cost (TAC) value, which is around 7% higher than the former (i) and 24% higher than the found optimal solution. Finally, a sensitivity analysis to investigate the influence of the desired H2 product purity and H2 recovery is presented. Opposite cost-based trade-offs between total membrane area and total electric power were observed with the variations of these two model parameters. This paper contributes a valuable decision-support tool in the process system engineering field for designing, simulating, and optimizing membrane-based systems for H2 separation in a particular industrial case
and the presented optimization results provide useful guidelines to assist in selecting the optimal configuration and operating mode.
Databáze: OpenAIRE
Externí odkaz: