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SIMULATION AND OPTIMIZATION OF MULTISTAGE COMPRESSED DMR NATURAL GAS LIQUEFACTION PROCESS

Rongge Xiaoa,*, Yanwei Zhanga , Xu Gaob , Hongping Yuc , Wangying Weia

a Shaanxi Key Laboratory of Advanced Stimulation Technology for Oil & Gas Reservoirs, College of Petroleum Engineering, Xi’an Shiyou University, Xian 710065, Shaanxi China
b Shenzhen Branch of Sichuan East Gas Engineering Design and Research Institute, Shenzhen 518033, China
c Production Technology Research Institute, The Second Oil Production Plant of Changqing Oilfield. Qingyang 745100, Gansu, China

* Corresponding Author: E-mail: email.

Frontiers in Heat and Mass Transfer 2020, 15, 1-8. https://doi.org/10.5098/hmt.15.22

Abstract

In order to improve DMR (double mixed refrigerant) liquefaction process and reduce operation cost of natural gas liquefaction plant, a four-stage DMR process optimization simulation calculation model was established through Aspen Hysys v8.4 and the purpose of the optimization model is achieved by using the segmented compression process in this paper. The minimum energy consumption and the highest exergy efficiency were used as the objective functions. By using the optimizer in HYSYS, the process parameters and ingredient proportion of the mixed refrigerant in the fourstage DMR process was optimized, and the best process parameters and ingredient proportion of the mixed refrigerant were obtained. According to process power consumption obtained by the optimization simulation, the ratio power consumption and exergy efficiency of the process were calculated. The liquefaction power consumption per unit quality of natural gas was 272.2kW/t and the liquefaction exergy efficiency was 46.85% in this paper. Comparing with the current DMR process power consumption in China, the energy consumption was significantly reduced.

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Cite This Article

Xiao, R., Zhang, Y. (2020). SIMULATION AND OPTIMIZATION OF MULTISTAGE COMPRESSED DMR NATURAL GAS LIQUEFACTION PROCESS. Frontiers in Heat and Mass Transfer, 15(1), 1–8.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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