Simulation-based modeling and optimization for refinery hydrogen network integration with light hydrocarbon recovery

Yang, Minbo; Zeng, Sha; Feng, Xiao; Zhao, Liang

doi:10.1016/j.ijhydene.2021.11.069

Cited by 9 publications

(2 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Modeling and Simulation of oil refineries receives increased interest in literature, mainly targeting in the increase of refinery productivity and reduction of resources usage such as energy. Typical such works are [41] where authors use Matlab and Aspen to develop a simulation and optimization model and [42] where the hydrogen unit in a domestic refinery based on the mass and energy balance equations at steady state condition is used to calculate the optimal operational conditions of the unit. The majority of published works refer to specific installations (and do not propose a general framework) and make use of well-established commercial software tools or first principle models, of limited flexibility for integration with digital technologies and data exchange.…”

Section: Case Study a Lpg Purification Plant Overviewmentioning

confidence: 99%

Model-Based Simulation Framework for Digital Twins in the Process Industry

Sarantinoudis,

Tsinarakis,

Dedousis

et al. 2023

IEEE Access

View full text Add to dashboard Cite

A process modelling and simulation theoretical framework of general use for the study of continuous process industrial systems is introduced. The proposed process modelling methodology is based on Material Flow Networks and is implemented on a Process Simulation Modelling Tool developed for this purpose. The tool introduced can also serve the requirements arising for online use of the models as digital shadows of the physical systems, in the context of digital twinning the process industry. The implemented models in conjunction with tools from other scientific fields can be used for monitoring, root cause analysis, performance optimization, limitation and recovery of the behaviour of systems. An application example of the proposed methodology is provided and useful conclusions arise. Finally, extensions of the proposed method and potential challenges are discussed.

show abstract

Section: Case Study a Lpg Purification Plant Overviewmentioning

confidence: 99%

Model-Based Simulation Framework for Digital Twins in the Process Industry

Sarantinoudis,

Tsinarakis,

Dedousis

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The selection of the operating conditions of a reactor can be done using sensitivity analysis [65]. However, selecting the best-operating conditions of an industrial reactor usually requires an optimization strategy when there are several variables [66][67][68], i.e., they can have a contradictory effect on the maximization of the feedstock conversion. Optimization methods may be classified into global and local methods [69].…”

Section: Optimization Of the Operating Conditions Of Chemical Reactorsmentioning

confidence: 99%