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Trends in CO2 conversion and utilization: A review from process systems perspective
Abstract Carbon capture and storage (CCS) community has been struggling over the past few decades to demonstrate the economic feasibility of CO2 sequestration. Nevertheless, in practice, it has only
A Natural Gas to Liquids Process Model for Optimal Operation
The design and optimization of a natural gas to hydrocarbon liquids (GTL) process is considered, mainly from the view of maximizing the variable income during operation. Autothermal reforming (ATR)
Economically efficient operation of CO2 capturing process part I: Self-optimizing procedure for selecting the best controlled variables
Abstract We study optimal operation of a post-combustion CO2 capturing process where optimality is defined in terms of a cost function that includes energy consumption and penalty for released CO2 to
Economically efficient operation of CO2 capturing process. Part II. Design of control layer
a b s t r a c t In part I of this study, control structures were proposed for different operational regions of a postcombustion CO2 capturing process using the top-down steady-state economic part of
Steady State Simulation for Optimal Design and Operation of a GTL Process
In this thesis, the systematic plantwide procedure of Skogestad (2004) is applied to two processes; 1- Post-combustion CO2 capturing processes, 2- Natural gas to liquid hydrocarbons (GTL) plants, in
Economic Plantwide Control of the Cumene Process
Comparison with a conventional plantwide control system shows that the synthesized control structure is simpler in requiring no overrides for handling constraints and achieving superior economic performance.
Optimal design of a gas-to-liquids process with a staged Fischer-Tropsch reactor
The optimal design of a natural gas-to-liquid hydrocarbons (GTL) process with a multistage cobalt-based Fischer-Tropsch reactor and interstage product separation is considered. The objective function
A hybrid "k-means, VSS LMS" learning method for RBF network in short-term load forecasting
This paper investigates the performance of a hybrid learning algorithm for RBF network in the application of short-term load forecasting and proves this method is both accurate and fast in comparison with other presented schemes.
Multi-objective optimization of a gas-to-liquids (GTL) process with staged Fischer-Tropsch reactor
Abstract In the present research, multi-objective optimization (MOO) was applied to a natural gas-to-liquids (GTL) process with a multi-stage Fischer-Tropsch (FT) reactor. A CO2 stream was fed into
CO2 utilization through integration of post-combustion carbon capture process with Fischer-Tropsch gas-to-liquid (GTL) processes
Carbon capture is addressed as a medium term solution while industry and society are in their path towards future clean energies. However, in the absence of demand market and a revenue source for the