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MILP-based optimization of compressor operation for boil-off gas handling in LNG storage tanks

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One important challenge in liquefied natural gas (LNG) supply chain is that of improving its power efficiency by reducing/minimizing the cost/spending of its power consumption. Such consumption is generally dominated by (i) LNG trains processing stage and (ii) boil-off gas (BOG) handling in storage tanks. In particular, the large power utilization in these two operational stages is mainly consumed by several compressors that are working at all times during LNG production and storage stages. To improve its power efficiency, this paper proposes a method to evaluate/determine the optimal number of compressors that are required by the BOG handling stage in the LNG storage tanks. The proposed method is essentially based on the use of mixed-integer linear programming (MILP) framework to determine the optimal number and duty cycle of compressors operation that will minimize the LNG power consumption while at the same time maintains the safety of the storage tanks and the overall LNG plant operation. In the proposed MILP, the objective function consists of the total power usage level of all compressors whereas the constraints include the operational and load constraints of the LNG plant. Simulation results are presented to illustrate the effectiveness of the proposed method.

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Ketersediaan

Barcode		Tipe Koleksi	Nomor Panggil	Lokasi	Status
maklhsc796	DIG - FTI	Makalah		Perpustakaan	Tersedia namun tidak untuk dipinjamkan - No Loan

Informasi Detail

Judul Seri

No. Panggil

-

Penerbit

: IEEE., 2021

Deskripsi Fisik

p. 241-246

Bahasa

English

ISBN/ISSN

978-1-6654-0196-8

Klasifikasi

NONE

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

MIXED INTEGER LINEAR PROGRAMMING
LNG STORAGE
BOIL-OFF GAS
COMPRESSOR SCHEDULING

Info Detail Spesifik

Makalah dipresentasikan pada Proceedings of 2021 IEEE 5th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE);Universitas Amikom Purwokerto. 24-25 November 2021.

Pernyataan Tanggungjawab

Hernando Zhang, Audrey Budiawan, Tua A.Tamba

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