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Data · dataset · 2018

Data for: Optimization model and application for the recondensation process of boil-off gas in a liquefied natural gas receiving terminal

Listed in Teesside University Research Data Repository

The data uploaded this time consists of four parts: the HYSYS files, the data for figures, the initial data obtained by using HYSYS and the data for each month of a year.

Description

The HYSYS files include two operational models during the unloading stage in the LNG receiving terminal used primarily in this paper. The ambient temperature of the file named "November to March" was set to 5 degrees Celsius, and the operating cycle was set to 2 days.

Meanwhile, the ambient temperature of the file named "April to October" was set to 25 degrees Celsius, and the operating cycle was set to 9 days. The two operational models can be used to obtain initial operating data which can be seen in the folder named "Initial data obtained by using HYSYS". The folder contains the data at the key nodes in the different phases for each month obtained using the HYSYS model.

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We can fit the data of each stage and get the flow rate of LNG and BOG at the key nodes of each stage. The operating cycle and ambient temperature vary depending on the month. We can calculate the operating power and the cost of each month.

By optimizing the calculations described in the article, we can get the lowest operating power and the cost per month. We can compare the operating costs before and after optimization to see the optimization effect which can be seen in the folder named "Data for each month of a year". "Data for figures" shows the data for each figure in this paper.

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Climate change science 71%
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