The Experts below are selected from a list of 3063 Experts worldwide ranked by ideXlab platform

M R Rahimpour - One of the best experts on this subject based on the ideXlab platform.

  • modeling electrostatic separation for dehydration and desalination of crude oil in an industrial two stage desalting plant
    Journal of The Taiwan Institute of Chemical Engineers, 2016
    Co-Authors: Elham Aryafard, Mohammad Farsi, M R Rahimpour, Sona Raeissi
    Abstract:

    Abstract The aim of present study is to develop a mathematical model to predict water and salt separation efficiencies in an industrial two stages crude oil desalting process. The considered process consists of Mixing Valve and electrostatic drums connected in series. The desalting plant is modeled based on the population balance method considering water droplet breakage and coalescence terms to predict droplet size distribution. The class method as a common mathematical technique is selected to solve population balance equation. The accuracy of the developed mathematical model and considered assumption is evaluated using taken data from an industrial desalting plant. Then, the effect of Mixing Valve pressure drop, flow rate of fresh water and strength of electric field is studied on the desalting and dehydration efficiencies. The simulation result shows that increasing flow rate of fresh water from 3% to 6% decreases salt content in the treated crude oil from 2.06 to 0.71 PTB.

  • modeling and simulation of crude oil desalting in an industrial plant considering Mixing Valve and electrostatic drum
    Chemical Engineering and Processing, 2015
    Co-Authors: Elham Aryafard, Mohammad Farsi, M R Rahimpour
    Abstract:

    Abstract The aim of present study is development of a mathematical model to predict water and salt removal efficiencies in an industrial crude oil desalting plant at steady state condition. The considered desalting process consists of the Mixing Valve and AC electrostatic desalting drum that were connected in series. The Mixing Valve and desalting drum are modeled based on population balance method considering water droplet breakage and coalescence to predict the droplet size distribution. The class method as a common mathematical technique is selected to solve population balance equation. The accuracy of the developed mathematical model and considered assumptions are evaluated via industrial data from a desalting plant. Then, the effect of pressure drop in the Mixing Valve, flow rate of fresh water and strength of electric field on the desalting and dehydration efficiencies are assessed. The results show that electric field has a significant effect on the process efficiency, so increasing electric field strength from 1.0 kV/cm to 2.0 kV/cm improves water separation efficiency from 93.92% to 97.85%.

Sona Raeissi - One of the best experts on this subject based on the ideXlab platform.

  • modeling electrostatic separation for dehydration and desalination of crude oil in an industrial two stage desalting plant
    Journal of The Taiwan Institute of Chemical Engineers, 2016
    Co-Authors: Elham Aryafard, Mohammad Farsi, M R Rahimpour, Sona Raeissi
    Abstract:

    Abstract The aim of present study is to develop a mathematical model to predict water and salt separation efficiencies in an industrial two stages crude oil desalting process. The considered process consists of Mixing Valve and electrostatic drums connected in series. The desalting plant is modeled based on the population balance method considering water droplet breakage and coalescence terms to predict droplet size distribution. The class method as a common mathematical technique is selected to solve population balance equation. The accuracy of the developed mathematical model and considered assumption is evaluated using taken data from an industrial desalting plant. Then, the effect of Mixing Valve pressure drop, flow rate of fresh water and strength of electric field is studied on the desalting and dehydration efficiencies. The simulation result shows that increasing flow rate of fresh water from 3% to 6% decreases salt content in the treated crude oil from 2.06 to 0.71 PTB.

Elham Aryafard - One of the best experts on this subject based on the ideXlab platform.

  • modeling electrostatic separation for dehydration and desalination of crude oil in an industrial two stage desalting plant
    Journal of The Taiwan Institute of Chemical Engineers, 2016
    Co-Authors: Elham Aryafard, Mohammad Farsi, M R Rahimpour, Sona Raeissi
    Abstract:

    Abstract The aim of present study is to develop a mathematical model to predict water and salt separation efficiencies in an industrial two stages crude oil desalting process. The considered process consists of Mixing Valve and electrostatic drums connected in series. The desalting plant is modeled based on the population balance method considering water droplet breakage and coalescence terms to predict droplet size distribution. The class method as a common mathematical technique is selected to solve population balance equation. The accuracy of the developed mathematical model and considered assumption is evaluated using taken data from an industrial desalting plant. Then, the effect of Mixing Valve pressure drop, flow rate of fresh water and strength of electric field is studied on the desalting and dehydration efficiencies. The simulation result shows that increasing flow rate of fresh water from 3% to 6% decreases salt content in the treated crude oil from 2.06 to 0.71 PTB.

  • modeling and simulation of crude oil desalting in an industrial plant considering Mixing Valve and electrostatic drum
    Chemical Engineering and Processing, 2015
    Co-Authors: Elham Aryafard, Mohammad Farsi, M R Rahimpour
    Abstract:

    Abstract The aim of present study is development of a mathematical model to predict water and salt removal efficiencies in an industrial crude oil desalting plant at steady state condition. The considered desalting process consists of the Mixing Valve and AC electrostatic desalting drum that were connected in series. The Mixing Valve and desalting drum are modeled based on population balance method considering water droplet breakage and coalescence to predict the droplet size distribution. The class method as a common mathematical technique is selected to solve population balance equation. The accuracy of the developed mathematical model and considered assumptions are evaluated via industrial data from a desalting plant. Then, the effect of pressure drop in the Mixing Valve, flow rate of fresh water and strength of electric field on the desalting and dehydration efficiencies are assessed. The results show that electric field has a significant effect on the process efficiency, so increasing electric field strength from 1.0 kV/cm to 2.0 kV/cm improves water separation efficiency from 93.92% to 97.85%.

Mohammad Farsi - One of the best experts on this subject based on the ideXlab platform.

  • modeling electrostatic separation for dehydration and desalination of crude oil in an industrial two stage desalting plant
    Journal of The Taiwan Institute of Chemical Engineers, 2016
    Co-Authors: Elham Aryafard, Mohammad Farsi, M R Rahimpour, Sona Raeissi
    Abstract:

    Abstract The aim of present study is to develop a mathematical model to predict water and salt separation efficiencies in an industrial two stages crude oil desalting process. The considered process consists of Mixing Valve and electrostatic drums connected in series. The desalting plant is modeled based on the population balance method considering water droplet breakage and coalescence terms to predict droplet size distribution. The class method as a common mathematical technique is selected to solve population balance equation. The accuracy of the developed mathematical model and considered assumption is evaluated using taken data from an industrial desalting plant. Then, the effect of Mixing Valve pressure drop, flow rate of fresh water and strength of electric field is studied on the desalting and dehydration efficiencies. The simulation result shows that increasing flow rate of fresh water from 3% to 6% decreases salt content in the treated crude oil from 2.06 to 0.71 PTB.

  • modeling and simulation of crude oil desalting in an industrial plant considering Mixing Valve and electrostatic drum
    Chemical Engineering and Processing, 2015
    Co-Authors: Elham Aryafard, Mohammad Farsi, M R Rahimpour
    Abstract:

    Abstract The aim of present study is development of a mathematical model to predict water and salt removal efficiencies in an industrial crude oil desalting plant at steady state condition. The considered desalting process consists of the Mixing Valve and AC electrostatic desalting drum that were connected in series. The Mixing Valve and desalting drum are modeled based on population balance method considering water droplet breakage and coalescence to predict the droplet size distribution. The class method as a common mathematical technique is selected to solve population balance equation. The accuracy of the developed mathematical model and considered assumptions are evaluated via industrial data from a desalting plant. Then, the effect of pressure drop in the Mixing Valve, flow rate of fresh water and strength of electric field on the desalting and dehydration efficiencies are assessed. The results show that electric field has a significant effect on the process efficiency, so increasing electric field strength from 1.0 kV/cm to 2.0 kV/cm improves water separation efficiency from 93.92% to 97.85%.

Borut Zupancic - One of the best experts on this subject based on the ideXlab platform.

  • hybrid fuzzy predictive control based on genetic algorithms for the temperature control of a batch reactor
    Computers & Chemical Engineering, 2008
    Co-Authors: Javier Causa, Gorazd Karer, Alfredo Nunez, Doris Saez, Igor Skrjanc, Borut Zupancic
    Abstract:

    In this paper we describe the design of hybrid fuzzy predictive control based on a genetic algorithm (GA). We also present a simulation test of the proposed algorithm and a comparison with two hybrid predictive control methods: Explicit Enumeration and Branch and Bound (BB). The experiments involved controlling the temperature of a batch reactor by using two on/off input Valves and a discrete-position Mixing Valve. The GA-hybrid predictive control strategy proved to be a suitable method for the control of hybrid systems, giving similar performance to that of typical hybrid predictive control strategies and a significant saving with respect to the computation time.