scholarly journals Gas distribution network topology problem

2017 ◽  
Author(s):  
Dejan Brkić
Keyword(s):  
Nonlinear Problem ◽  
Network Topology ◽  
Iterative Procedure ◽  
Gas Flow ◽  
Distribution Network ◽  
Gas Pipeline ◽  
Gas Distribution ◽  
Pipeline Network ◽  
Loop Matrix ◽  
Looped Network

Problem of gas flow in looped network is nonlinear problem and these kind of problemshave to be solved using some kind of iterative procedure. For the pipeline network, two topologymatrices can be written; i.e. loop matrix and node matrix. The node matrix is related to therst Kirchho's law while the loop matrix is related to second Kirchho's law. Here will beshown ecient method in which both matrices, i.e. the node and the loop matrix are unitedin one coherent procedure for solution of looped gas pipeline problem.

scholarly journals A Gas Distribution Network Hydraulic Problem from Practice

2017 ◽  
Author(s):  
D. Brikić
Keyword(s):  
Natural Gas ◽  
Friction Factor ◽  
Gas Flow ◽  
Optimization Problem ◽  
Distribution Network ◽  
Gas Distribution ◽  
Pipeline Network ◽  
Hardy Cross ◽  
Selection Of

Accent is on determination of appropriate friction factor, and on selection of representative equation for natural gas flow under presented conditions in the network. Calculation of presented looped gas-pipeline network is done according to principles of Hardy Cross method. The final flows were calculated, for known pipes diameters and nodes consumptions while the flow velocities through pipes have to stand below certain values. In optimization problem flows are treated as constant, while the diameters are variables.

scholarly journals An improvement of Hardy Cross method applied on looped spatial natural gas distribution networks

2017 ◽  
Author(s):  
Dejan Brkic
Keyword(s):  
Gas Flow ◽  
Solution Method ◽  
Distribution Networks ◽  
Original Method ◽  
Gas Distribution ◽  
Gas Network ◽  
Hardy Cross ◽  
Successive Substitution ◽  
Newton Raphson ◽  
Looped Network

Hardy Cross method is common for calculation of loops-like gas distribution networks with known node gas consumptions. This method is given in two forms: original Hardy Cross method-successive substitution methods and improved-simultaneous solution method (Newton-Raphson group of methods). Problem of gas flow in looped network is nonlinear problem; i.e. relation between flow and pressure drop is not linear while relation between electric current and voltage is. Improvement of original method is done by introduction of influence of adjacent contours in Yacobian matrix which is used in calculation and which is in original method strictly diagonal with all zeros in non-diagonal terms. In that way necessary number of iteration in calculations is decreased. If during the design of gas network with loops is anticipated that some of conduits are crossing each other without connection, this sort of network became, so there has to be introduced corrections of third or higher order.

scholarly journals Influence of the iteration step size to finding solutions

2018 ◽  
Vol 251 ◽  
pp. 03031
Author(s):  
Aleksey Klochko ◽  
Asmik Klochko
Keyword(s):  
Reliability Index ◽  
Distribution Network ◽  
Distribution Networks ◽  
Gas Pipeline ◽  
Iteration Step ◽  
Network Configuration ◽  
Gas Distribution ◽  
Reliable Operation ◽  
Step Size ◽  
Gas Supply

The article considers the issues of obtaining a network configuration by the criterion of maximizing the reliability index. The rationally designed configuration of the gas distribution network for the selected gas supply scheme ensures reliable operation throughout the life of gas pipeline. The results are recommended in designing of gas distribution networks, as well as when determining the reserve for improving the reliability of the network for the adopted gas supply scheme for subscribers.

Experimental Study on Dynamic Characteristic of Gas Pipeline Network

2013 ◽  
Vol 868 ◽  
pp. 568-573
Author(s):  
Bo Wen Hu ◽  
Wei Guo Zhou ◽  
Xiao Jing Liu
Keyword(s):  
Dynamic Characteristic ◽  
Working Conditions ◽  
Gas Flow ◽  
Influence Factors ◽  
Experimental System ◽  
Gas Pipeline ◽  
Network Dynamic ◽  
Flow Dynamic ◽  
Pipeline Network ◽  
Main Influence

With the change of topology structure of gas pipeline network, dynamic characteristics of gas in the pipeline will change in a very complicated way. A dynamic simulation experimental system of gas pipeline will be introduced in this paper to indicate gas flow dynamic characteristic. Numerous of experiments of several kinds of typical gas topology network structure will be conducts under different working conditions. Experimental results will be analyzed as well to achieve the main influence factors of gas flow dynamic characteristic.

scholarly journals Managing the Pressure to Increase the H2 Capacity Through a Natural Gas Transmission Network

2020 ◽  
Author(s):  
Francis Bainier ◽  
Rainer Kurz ◽  
Philippe Bass
Keyword(s):  
Natural Gas ◽  
Partial Pressure ◽  
Gas Flow ◽  
Network Capacity ◽  
Hydrogen Gas ◽  
Gas Pipeline ◽  
Pipeline Network ◽  
Gas Network ◽  
Natural Gas Pipeline ◽  
Partial Pressures

Abstract Gas Transmission System Operators (TSO1) are considering injecting hydrogen gas into their networks. Blending hydrogen into the existing natural gas pipeline network appears to be a strategy for storing and delivering renewable energy to markets [1], [2], [3]. In the paper GT2019-90348 [4], the authors have explored the efficiency of H2-blending in a natural gas pipeline network. The conclusion of the paper is: the energy transmission capacity and the efficiency decrease with the introduction of H2, nevertheless, the authors conclude that it is not an obstacle, but the way of using transmission natural gas networks should be closely studied to find an economic optimum, based both on capital and operating expenses. To establish the comparison, the paper did not take into account the limits of the equipment; all equipment was considered as compatible with any load of hydrogen blending. In the current paper, the idea is to consider the hypothesis that the only factor which has impact on the infrastructure is the partial pressure of H2. The idea is not new, in 1802, Dalton published a law called Dalton’s Law of Partial Pressures [5]. Dalton established empirically that the total pressure of a mixture of gases is equal to the sum of the partial pressures of the individual component gases. The partial pressure is the pressure that each gas would exert when it alone occupied the volume of the mixture at the same temperature. Independent of the limits of the equipment, the authors explore the relationships between a network capacity and its associated pressures in regards to the H2 partial pressure. Within the partial pressure constraint, the goal is to find the maximum H2 flowrate. This flowrate is then compared with a flowrate which is a function of % H2. Nevertheless, steel is subjected to hydrogen invasion while being exposed to hydrogen containing environments during mechanical loading: resulting in hydrogen embrittlement (HE). HE also depends on the textured microstructure. In the final results [6] [7], the measured fatigue data reveals that the fatigue life of steel pipeline is degraded by the added hydrogen. The H2 has an effect on the steel fatigue which is not simply due to the partial pressure. The idea of the authors through the results of their 2 papers is to give the key points to help to find the optimum points for introducing H2 into a natural gas network, because, for them, the idea is that partial pressure is a factor in the equilibrium between H2 capacity and the remaining lifetime of the equipment. This paper shows the interest of the pressure management. With this management, it is possible to reach a constant H2 injection flow independently of the natural gas flow in the pipeline. In conclusion, to optimize the H2 capacity in their current network, a proposal to the TSOs is to adjust their dispatching methodology and their Pipeline Integrity Management (PIM) [8] [9].

scholarly journals Influence of center gas supply device on gas–solid flow in COREX shaft furnace through DEM–CFD model

2020 ◽  
Vol 18 (5-6) ◽  
Author(s):  
Heng Zhou ◽  
Shuyu Wang ◽  
Binbin Du ◽  
Mingyin Kou ◽  
Zhiyong Tang ◽  
...  
Keyword(s):  
Gas Flow ◽  
Shaft Furnace ◽  
Middle Zone ◽  
Cfd Model ◽  
Gas Velocity ◽  
Gas Distribution ◽  
Particle Segregation ◽  
Solid Flow ◽  
Corex Shaft Furnace ◽  
Gas Supply

AbstractIn order to develop the central gas flow in COREX shaft furnace, a new installment of center gas supply device (CGD) is designed. In this work, a coupled DEM–CFD model was employed to study the influence of CGD on gas–solid flow in COREX shaft furnace. The particle descending velocity, particle segregation behaviour, void distribution and gas distribution were investigated. The results show that the CGD affects the particles descending velocity remarkably as the burden falling down to the slot. Particle segregation can be observed under the inverse ‘V’ burden profile, and the influence of CGD on the particle segregation is unobvious on the whole, which causes the result that the voidage is slightly changed. Although the effect of CGD on solid flow is not significant, the gas flow in shaft furnace has an obvious change. Compared with the condition without CGD, in the case with CGD, the gas velocity is improved significantly, especially in the middle zone of the furnace, which further promotes the center gas distribution. Meanwhile, the pressure drop in the furnace with the installation of CGD is increased partly.

scholarly journals Distribution Network Topology Identification Considering Nonsynchronous Multi-prosumer Data Measurement

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Lizong Zhang ◽  
Fengming Zhang ◽  
Xiaolei Li ◽  
Chunlei Wang ◽  
Taotao Chen ◽  
...  
Keyword(s):  
Network Topology ◽  
Distribution Network ◽  
Topology Identification ◽  
Data Measurement
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