4.7 Article

Improving energy efficiency for a low-temperature CO2 separation process in natural gas processing

Journal

ENERGY
Volume 214, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.118844

Keywords

Energy efficiency; CO2 separation; Process design; Process simulation

Funding

  1. Engineering Development Research Center (EDRC) - Ministry of Trade, Industry Energy (MOTIE) [N0000990]
  2. National Research Foundation of Korea (NRF) - Korea government (MSIT) [2019R1A2C2002263]
  3. National Research Foundation of Korea [2019R1A2C2002263] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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The conventional amine sweetening process is limited to treating gas with high CO2 content, while low-temperature distillation processes are considered as an economic and energy-efficient alternative. However, realizing the full benefits of low-temperature distillation processes is challenging due to complex design interactions. Modelling of carbon dioxide separation distillation processes under sub-ambient conditions with Aspen HYSYS, validation with reference data, sensitivity studies for energy cost dependence on key variables, and suggestions for improving energy efficiency without compromising separation processes were discussed.
Conventional amine sweetening process is limited to treating gas with high content of CO2, due to significant energy demand for the regeneration of solvent and the compression of CO2 product for Enhanced Oil Recovery (EOR) or sequestration. Although distillation processes operating at sub-ambient conditions have been regarded as an economic and energy-efficient alternative to amine sweetening process, it is not straightforward to materialize the full benefits of the low temperature distillation process in practice because of complex design interactions existed. The distillation process for carbon dioxide separation operated at sub-ambient conditions are modeled with commercial simulator Aspen HYSYS (R). A range of thermodynamic packages are screened for the selection of the most appropriate one to be used, while the validation of the process modeling is made with reference data. Understanding on the dependence of energy cost on the key design and operating variables is obtained with sensitivity studies, with which energy-efficient selection of column configurations and operating conditions throughout the process is made. Suggestion is also made for improving energy efficiency for the process without compromising separation process, by setting different operating pressure and introducing new configuration involving stream splitting and merging. (C) 2020 Elsevier Ltd. All rights reserved.

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