Techno-economic optimization of novel energy-efficient solvent deasphalting process using CO2 as a stripping agent

Jun Woo Park; Soo Ik Im; Ki Bong Lee

doi:10.1016/j.energy.2022.125728

Techno-economic optimization of novel energy-efficient solvent deasphalting process using CO₂ as a stripping agent

Jun Woo Park, Soo Ik Im, Ki Bong Lee

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

The solvent deasphalting (SDA) process is specifically designed to selectively remove asphaltene from heavy oil feedstocks. However, high energy consumption resulting from the separation processes used to recover the extraction solvent from the mixture of oil products and solvent is a challenge in the SDA process. In this study, a novel SDA process in which the solvent recovery steps were modified by employing carbon dioxide instead of steam as the stripping agent was developed. In addition, the operating and heat integration parameters of the novel CO₂-assisted SDA process were optimized using bilevel optimization to minimize the total annualized cost. A genetic algorithm was applied to optimize the process operating variables in the upper-level problem, including the temperature and pressure of solvent recovery units. In the lower-level problem, heat integration parameters—the minimum temperature difference (ΔT_min) and the heat load distribution of hot and cold utilities—were optimized. The optimization results demonstrated that the novel SDA process is more energy-efficient and economical than the conventional SDA process.

Original language	English
Article number	125728
Journal	Energy
Volume	263
DOIs	https://doi.org/10.1016/j.energy.2022.125728
Publication status	Published - 2023 Jan 15

Bibliographical note

Funding Information:
This research was supported by the National Research Foundation of Korea (NRF) through the Basic Science Research Program ( NRF-2020R1A2C2010815 ) funded by the Korean government's Ministry of Science and ICT .

Publisher Copyright:
© 2022 Elsevier Ltd

Keywords

Genetic algorithm
Process intensification
Process optimization
Solvent deasphalting
Techno-economic analysis

ASJC Scopus subject areas

Civil and Structural Engineering
Modelling and Simulation
Renewable Energy, Sustainability and the Environment
Building and Construction
Fuel Technology
Energy Engineering and Power Technology
Pollution
Mechanical Engineering
General Energy
Management, Monitoring, Policy and Law
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.energy.2022.125728

Cite this

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title = "Techno-economic optimization of novel energy-efficient solvent deasphalting process using CO2 as a stripping agent",

abstract = "The solvent deasphalting (SDA) process is specifically designed to selectively remove asphaltene from heavy oil feedstocks. However, high energy consumption resulting from the separation processes used to recover the extraction solvent from the mixture of oil products and solvent is a challenge in the SDA process. In this study, a novel SDA process in which the solvent recovery steps were modified by employing carbon dioxide instead of steam as the stripping agent was developed. In addition, the operating and heat integration parameters of the novel CO2-assisted SDA process were optimized using bilevel optimization to minimize the total annualized cost. A genetic algorithm was applied to optimize the process operating variables in the upper-level problem, including the temperature and pressure of solvent recovery units. In the lower-level problem, heat integration parameters—the minimum temperature difference (ΔTmin) and the heat load distribution of hot and cold utilities—were optimized. The optimization results demonstrated that the novel SDA process is more energy-efficient and economical than the conventional SDA process.",

keywords = "Genetic algorithm, Process intensification, Process optimization, Solvent deasphalting, Techno-economic analysis",

author = "Park, {Jun Woo} and Im, {Soo Ik} and Lee, {Ki Bong}",

note = "Funding Information: This research was supported by the National Research Foundation of Korea (NRF) through the Basic Science Research Program ( NRF-2020R1A2C2010815 ) funded by the Korean government's Ministry of Science and ICT . Publisher Copyright: {\textcopyright} 2022 Elsevier Ltd",

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AU - Park, Jun Woo

AU - Im, Soo Ik

AU - Lee, Ki Bong

N1 - Funding Information: This research was supported by the National Research Foundation of Korea (NRF) through the Basic Science Research Program ( NRF-2020R1A2C2010815 ) funded by the Korean government's Ministry of Science and ICT . Publisher Copyright: © 2022 Elsevier Ltd

PY - 2023/1/15

Y1 - 2023/1/15

N2 - The solvent deasphalting (SDA) process is specifically designed to selectively remove asphaltene from heavy oil feedstocks. However, high energy consumption resulting from the separation processes used to recover the extraction solvent from the mixture of oil products and solvent is a challenge in the SDA process. In this study, a novel SDA process in which the solvent recovery steps were modified by employing carbon dioxide instead of steam as the stripping agent was developed. In addition, the operating and heat integration parameters of the novel CO2-assisted SDA process were optimized using bilevel optimization to minimize the total annualized cost. A genetic algorithm was applied to optimize the process operating variables in the upper-level problem, including the temperature and pressure of solvent recovery units. In the lower-level problem, heat integration parameters—the minimum temperature difference (ΔTmin) and the heat load distribution of hot and cold utilities—were optimized. The optimization results demonstrated that the novel SDA process is more energy-efficient and economical than the conventional SDA process.

AB - The solvent deasphalting (SDA) process is specifically designed to selectively remove asphaltene from heavy oil feedstocks. However, high energy consumption resulting from the separation processes used to recover the extraction solvent from the mixture of oil products and solvent is a challenge in the SDA process. In this study, a novel SDA process in which the solvent recovery steps were modified by employing carbon dioxide instead of steam as the stripping agent was developed. In addition, the operating and heat integration parameters of the novel CO2-assisted SDA process were optimized using bilevel optimization to minimize the total annualized cost. A genetic algorithm was applied to optimize the process operating variables in the upper-level problem, including the temperature and pressure of solvent recovery units. In the lower-level problem, heat integration parameters—the minimum temperature difference (ΔTmin) and the heat load distribution of hot and cold utilities—were optimized. The optimization results demonstrated that the novel SDA process is more energy-efficient and economical than the conventional SDA process.

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