Title: Comparative analysis of energy consumption and carbon emission in the boil-off gas recondensation process

Authors: Kun Huang; Xin Wang; Li Cao; Kun Chen; Nan Zhou; Yuxuan Gao

Addresses: Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500, China ' Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500, China ' Sinopec Tianjin Liquefied Natural Gas Co., Ltd., Tian, 300457, China ' China Petroleum Engineering & Construction Corporation, Qinghai Branch, Dunhuang 736202, Gansu, China ' Sinopec Tianjin Liquefied Natural Gas Co., Ltd., Tian, 300457, China ' Petroleum Engineering School, Southwest Petroleum University, Chengdu, 610500, China

Abstract: In this study, the goal is to minimise energy and carbon emissions in liquefied natural gas (LNG) receiving stations by optimising the boil-off gas (BOG) recondensation process. Four processes were evaluated using a performance model that considered both energy and emissions. A genetic algorithm optimised the parameters for lowest possible consumption and emissions. The analysis revealed that while increasing stages of recondensation and compression, and altering cooling methods, led to a minor increase in energy consumption, it resulted in significant emission reductions. Higher BOG content further amplified these savings. Notably, a two-stage recondensation process with pre-cooling and post-cooling (case D) achieved the greatest reduction in carbon emissions, confirming its effectiveness in reaching carbon neutrality goals, despite a slight rise in energy use compared to the base process (case A). [Received: March 19, 2024; Accepted: July 4, 2024]

Keywords: BOG recondensation; parameter optimisation; energy consumption; carbon emission; process selection.

DOI: 10.1504/IJOGCT.2025.146517

International Journal of Oil, Gas and Coal Technology, 2025 Vol.37 No.4, pp.417 - 437

Received: 09 Mar 2024
Accepted: 04 Jul 2024
Published online: 02 Jun 2025 *

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