Detail publikace
Operational optimization of a cyclic gas pipeline network with consideration of thermal hydraulics
Zheng, T. Feng, H. Wang, B. Zheng, J. Liang, Y. Ma, Y. Keene, T. Li, J.
Anglický název
Operational optimization of a cyclic gas pipeline network with consideration of thermal hydraulics
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
en
Originální abstrakt
Following the rapidly increasing global demand for natural gas, many countries are launching projects to expand gas pipeline networks (GPNs). As a result, more cyclic GPNs are under construction with more rigorous physical constraints required, bringing new challenges to GPN optimization. This paper proposes a novel nonconvex mixed-integer nonlinear programming (MINLP) formulation for operational optimization of the cyclic GPN with simultaneous consideration of thermal hydraulics and flow direction reversibility, which has not been explored in the literature. To solve the proposed MINLP model, a three-level decomposition algorithm is proposed to generate an approximate solution, from which the flow direction is extracted and used to fix all discrete variables in the original MINLP model to construct two-stage NLP models. The NLP models are then solved to improve solution feasibility and quality. The computational results show that the proposed approach outweighs several state-of-the-art commercial MINLP solvers with better solutions and shorter computational time.
Anglický abstrakt
Following the rapidly increasing global demand for natural gas, many countries are launching projects to expand gas pipeline networks (GPNs). As a result, more cyclic GPNs are under construction with more rigorous physical constraints required, bringing new challenges to GPN optimization. This paper proposes a novel nonconvex mixed-integer nonlinear programming (MINLP) formulation for operational optimization of the cyclic GPN with simultaneous consideration of thermal hydraulics and flow direction reversibility, which has not been explored in the literature. To solve the proposed MINLP model, a three-level decomposition algorithm is proposed to generate an approximate solution, from which the flow direction is extracted and used to fix all discrete variables in the original MINLP model to construct two-stage NLP models. The NLP models are then solved to improve solution feasibility and quality. The computational results show that the proposed approach outweighs several state-of-the-art commercial MINLP solvers with better solutions and shorter computational time.
Klíčová slova anglicky
operational; optimization; cyclic; gas; pipeline; network; consideration; thermal; hydraulics
Vydáno
17.02.2021
Nakladatel
American Chemical Society
ISSN
0888-5885
Ročník
6
Číslo
60
Strany od–do
2501–2522
Počet stran
22
BIBTEX
@article{BUT177024,
author="Bohong {Wang},
title="Operational optimization of a cyclic gas pipeline network with consideration of thermal hydraulics",
year="2021",
volume="6",
number="60",
month="February",
pages="2501--2522",
publisher="American Chemical Society",
issn="0888-5885"
}