Optimization loop based on adjoint sensitivity analysis for flows through porous media with adsorption
xmlui.dri2xhtml.METS-1.0.item-type
Date
2022xmlui.dri2xhtml.METS-1.0.item-sponsorship
Metadata
Show full item recordAbstract
In the past few years, the development of inverse design and optimization methods has opened up new possibilities. The adjoint method is of great significance in that context, since it permits high fidelity to flow-physics at comparatively low computational costs. The present work focuses on adsorbed gas storage systems. Its contribution is the development of an alternative approach to the adjoint contour problem, which ensures that the latter is as well-posed as the physical problem, itself. This approach proves to be fully consistent with Cacuci's methodology for computing sensitivity derivatives, which enables us to extend their scope. It allows for the evaluation of sensitivities with respect to parameters other than those pertaining to geometry, that is, to those that control the system operation such as average mass flux, convective heat transfer, inlet and external temperature. The main goal of this work is to obtain and validate a basic structure of an optimization loop algorithm (OLA) based on adjoint method, applied to adsorption natural gas storage systems, with pressure and density of adsorption as objective functions. © 2021 John Wiley & Sons Ltd.
- Heat convection
- Inverse problems
- Porous materials
- Sensitivity analysis
- Structural optimization
- Adjoint methods
- Adjoint sensitivity analysis
- Design and optimization
- Flow through porous medias
- Inverse design methods
- Inverse optimization
- Optimisations
- Optimization loop
- Optimization method
- Porous medium
- Adsorption
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121544088&doi=10.1002%2fnme.6873&partnerID=40&md5=1f1dbe0def49a2bf04ee219396b36335https://repositorio.maua.br/handle/MAUA/1399
Collections
Related items
Showing items related by title, author, creator and subject.
-
Production optimization with operating constraints for a fed-batch reactor with DMC predictive control (Artigo de Periódico)
Rodrigues, José Alberto Domingues; Maciel Filho, R. (Elsevier Science Ltd, 1999)This work presents a production optimization approach with operating constraints applied to a fed-batch penicillin process with a DMC predictive controller. A deterministic and non-structured mathematical model of the ... -
Matchable-Observable Linear Models and Direct Filter Tuning: An Approach to Multivariable Identification (Artigo de Periódico)
Romano, Rodrigo Alvite; Pait, Felipe (Institute of Electrical and Electronics Engineers Inc., 2017)Identification of linear time-invariant multivariable systems can best be understood as comprising three separate problems: selection of system model structure, filter design, and parameter estimation itself. Approaching ... -
Parameter optimization for a vibration attenuation system on ambulance stretchers (Trabalho apresentado em evento)
Malvezzi, Fernando; Orsino, Renato Maia Matarazzo; Stavropoulos, Konstantinos Dimitriou (EXTRICA, 2021)In this work a parameter optimization method is applied to determine the best values of damping and stiffness properties which will minimize the magnitude of the vertical acceleration of the ambulance stretcher. Thus, an ...