Multiobjective optimization of a gas pipeline network: an ant colony approach

Abstract

Optimization problems in gas pipeline transportation involve numerous variables, multiple objectives and many complex linear-nonlinear equality and inequality constraints. The optimization techniques used for solving multiobjective gas transportation problems are essentially different as those for single-objective optimization. Discovering the Pareto front and non-dominated set of solutions for the nonlinear multiobjective pipeline problem obliges noteworthy registering exertion. In the present paper, for solving multiobjective gas pipeline transportation problem, a multiobjective ant colony optimization technique for pipeline optimization has been developed. The multiobjective problem considered is about minimizing fuel consumption in compressors and maximizing throughput. For validation of the technique used, it has been applied on some test problems reported in the literature. After validation, the technique has then been implemented in the gas pipeline transportation problem. An eighteen-node gas pipeline network has been taken for analysis. The result obtained supports the industrial practice of maximizing throughput at the cost of an increase in fuel consumption in compressors. The technique employed and the results obtained may be used by the pipeline operators and managers to develop strategies for improving the operating conditions of gas pipeline network.

Improvement of an engineering procedure for calculating the non­isothermal transportation of a gas­liquid mixture

“…In numerous papers, for example [5][6][7][8], well-known simplified empirical Darcy formulas that describe isothermal motion of fluids and gases are used in hydraulic calculation. Thus, papers [7][8] contain the examples of using the Darcy formula for gases, and papers [5,6] -for mixtures of gases and fluids.…”

“…In numerous papers, for example [5][6][7][8], well-known simplified empirical Darcy formulas that describe isothermal motion of fluids and gases are used in hydraulic calculation. Thus, papers [7][8] contain the examples of using the Darcy formula for gases, and papers [5,6] -for mixtures of gases and fluids. However, when using these dependences in non-isothermal transportation systems, this leads to significant errors in the calculation of pressure losses and overrating design diameters of pipe flow areas [9].…”

“…In the calculations of hydraulic losses (pressure drops) in vertical oil-gas pipelines, the known formulas by Adamov and Krylov [1,2,8] corresponding to the resulting formula (7), are used.…”

Performance Evaluation of Different Short Path Algorithms to Improve Oil-Gas Pipelines

“…Multi-objective optimization methods for the transportation of gas differ fundamentally from individual target improvement methods. On this basis, the technique of improving the ant colony of multipurpose was developed to improve the transportation of gas in pipelines by reducing the consumption of the compressor fuel as well as increasing the production to maximum [16]. The design of the gas pipeline networks was complex where it consisted of pipes and element controls such as pumps and valves.…”

Multi-Objective Optimization of Gas Pipeline Networks

“…In the paper by [9], a multi-objective ant colony optimization technique for pipeline optimization has been developed to solve the multi-objective gas pipeline transportation problem. The multi-objective problem considered is about minimizing fuel consumption in the compressors and maximizing the throughput.…”