Application of «Gradient» Algorithm to Modeling Thermal Pipeline Networks with Pumping Stations



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Journal of Siberian Federal University. Engineering & Technologies 1 (2013 6) 28-35 ~ ~ ~ УДК 697.34.001.24 Application of «Gradient» Algorithm to Modeling Thermal Pipeline Networks with Pumping Stations Alex Y. Lipovka* and Yuri L. Lipovka Siberian Federal University, 79 Svobodny, Krasnoyarsk, 660041 Russia Received 11.02.2013, received in revised form 18.02.2013, accepted 25.02.2013 The paper deals with the analysis of flow distribution in regulated pipeline systems. Proposed inclusion of nodal elevations and piezometric heads into «global gradient» system of equations allows estimation of hydraulic regimes of thermal networks with pump stations, flow- and pressurecontrol valves during the process of iterative approach. Application of proposed modification of the Todini s GGA method to calculation of flow distribution is shown on example of a small thermal network with pumps. Keywords: water distribution network, flow equations, pumping station, heating networks, GGA. Introduction The equations describing the flow in complex looped heating networks are nonlinear, the problem of their effective solution still remains open, despite of the already proven methods of solution, the most famous of which are: the Hardy Cross method of single loop balancing, generalized methods of loop flows (Qequations) and nodal pressures (Hequations) by В. Хасилев А. Меренков [1] and, of course, the «global gradient» algorithm (GGA) by E. Todini [2], which combines a fast convergence of the Qequations method with simplicity of Hequations. Illustration of the sequence of iterations for the Qequations and GGA (QHequations) with twostage algorithm solving first for the nodal pressures and then for flows sequentially in an iterative process provided by A. Simpson [3], in which a simple reference network with two tanks, two pipes and one node used to express equations and solutions based on these two methods. Authors propose a lite modification of the method [2] and illustrate its application by calculating water distribution for a simple thermal network with various pumping stations. Statement of the problem The well-known one-dimensional mathematical model of steady isothermal flow distribution in hydraulic networks is described by three equations. The first equation the known law of hydraulic resistance of any link in the network Siberian Federal University. All rights reserved * Corresponding author E-mail address: alex.lipovka@gmail.com 28

(1) where ΔH i value of pressure drop at the link, m; pressure gain created by the pumping unit, m. For passive branches = 0; Q i flow at the link, m 3 /s; S i hydraulic resistance of link i, s 2 /m 5 ; n number of links in network; r exponent of the flow in the head loss equation. The second continuity of flow at each node (2) where algebraic sum of flows in the links, having a common node j, m 3 /s; outflow from the node j, m 3 /s. If the node is a simple splitter (tees, crosses), than = 0; if the node j is consumer (water outflow), than > 0; if the node is source (water inflow), than < 0; m the number of nodes with unknown parameters. And the third there are equations that require the total pressure loss of zero within any loop in a network, consisting of independent loops (3) Solving system of equations (1)(3) gives us the flow distribution in a network (heads at the nodes and flows in the links). The difference in the use of a particular method is the time to achieve results with the required accuracy and specified number of iterations. For such complex hydraulic networks, like thermal supplying networks, it is very important, especially if you need to calculate accidents in real time. Mathematical model Formulation of GGA (Todini-Pilati Q-H equations) uses the generic term head H, without reference to the terrain, which requires additional computation to find piezometric heads (4) where H i, H j heads, respectively, at the beginning and end of the of the pipeline, m; n the exponent in the head-loss equation for the link. We propose to replace heads in the original formula (4) with the dependency that takes into account elevations and piezometric heads at the nodes 0 (5) where Z i, Z j elevations of nodes, respectively, at the beginning and end of the pipe, m; P i, P j piezometric heads, respectively, at the beginning and end of the accounting section of the pipeline, m. The energy conservation law in case of the pumping station: 0 (6) where ω the relative speed of the pump; h 0, a, b coefficients and the exponent of the approximation curve of pump characteristics. 29

Matrix form of the system of equations of the modified «global gradient» method: T 0 0 (7) where G square diagonal matrix of coefficients; Q 0, Q vector of given outflows in nodes and the unknown flows in pipes; P 0, P vectors of given and unknown piezometric heads; Z 0, Z vectors of elevations, respectively, for nodes with given and unknown piezometric heads; A 0, A incidence matrix, respectively, for nodes with given and unknown piezometric heads; H 0pm vector of products h 0 ω 2 of coefficient from pump curve and its relative speed. This nonlinear system of equations, solved by Newton s method has the form: (8) where J(Q (k), P (k) ) Jacobian matrix; f(q (k), P (k) ) vector of deviations; (k), (k+1) number of iteration; δq (k+1) unknown vector of increments of volume flows, m 3 /s; δp (k+1) unknown vector of the increments of piezometric heads, m. System of linear equations (8) can be written as 0 (9) After transformations, we obtain the solution: a (k+1) iteration vector of the piezometric heads, obtained solely on the basis of previous (k) iteration of flows (10) and (k+1) iteration vector of flows, which depends on the previous (k) iteration of flows, and (k+1) iteration of piezometric heads (11) where E auxiliary vector of known variables (12) Creating and updating square diagonal matrices G, G и G -1 during the solution is very simple. For pipeline corresponding entries G(i,i) и G (i,i) are given as: (13) (14) Corresponding entries G(i,i) и G (i,i) for pumps: (15) (16) 30

The inverse matrix G -1 (i,i) is easily calculated by the formula 1 (17) An example of using the modified algorithm Let us analyze the convergence of the proposed modified algorithm GGA on example of a simple thermal pipeline network with pumping stations (Fig. 1). The results of calculation of flow distribution: piezometric heads at the nodes, flows in the pipes and operating points in pumping systems are given in Tables 1 3. Relative deviations at each step of the iterative process for the flows are shown in Fig. 2, for piezometric heads in Fig. 3, for head gains in pumps in Fig. 4. Diagram of infinite norm of vector of increments for piezometric heads is shown in Fig. 5. Analysis of the calculations shows that piezometric heads are close to solution even after the first iteration, and after the fourth iteration the unknown parameters of the flow distribution are almost stabilized. Fig. 1. The scheme of thermal network: Pm1, Pm2, Pm3 circulating, pressure rising, water supplying pumping stations; 1 5 numbers of network nodes; (1) (8) numbers of network pipes Table 1. Piezometric heads in the network nodes at each iteration, P m Nodes 2 3 4 5 1 45,275464 62,135573 38,83471 15,321225 2 44,994661 61,982059 38,969458 15,041589 3 44,994661 61,983504 38,97235 15,041677 4 44,994661 61,983502 38,972342 15,041680 5 44,994661 61,983502 38,972342 15,041680 31

Table 2. Volume flows in pipes of the network at each iteration, Q, m3/s Number of iteration Plots 1 2 3 4 5 6 7 8 1 0,002778 0,002778 0,015686 0,015686 0,015686 0,015686 0,012908 0,012908 2 0,002778 0,002778 0,014905 0,014905 0,014905 0,014905 0,012127 0,012127 3 0,002778 0,002778 0,014881 0,014881 0,014881 0,014881 0,012103 0,012103 4 0,002778 0,002778 0,014881 0,014881 0,014881 0,014881 0,012103 0,012103 5 0,002778 0,002778 0,014881 0,014881 0,014881 0,014881 0,012103 0,012103 Table 3. Volumetric flows through pump, Q, m3/s and piezometric heads at the suction and discharge nozzles, P in, P out, m at each iteration Number of iteration Pumps Pm 1 Pm 2 Pm 3 Q, m 3 /s P in, m P out, m Q, m 3 /s P in, m P out, m Q, m 3 /s P in, m P out, m 1 0,015686 45,198490 62,212547 0,015686 57,058599 63,911684 0,002777 19,068071 59,207392 2 0,014905 44,924029 62,052690 0,014905 56,911428 64,040088 0,002777 18,997330 58,997330 3 0,014881 44,923980 62,054185 0,014881 56,912823 64,043028 0,002777 18,997330 58,997330 4 0,014881 44,923977 62,054185 0,014881 56,912817 64,043025 0,002777 18,997330 58,997330 5 0,014881 44,923977 62,054185 0,014881 56,912817 64,043025 0,002777 18,997330 58,997330 1,07 1,06 Relative deviation 1,05 1,04 1,03 1,02 1,01 1 0,99 1 2 3 4 5 6 7 Fig. 2. Relative deviations of flows in pipes (1) (8) (1), (2) (3) (6) (7), (8)

1,02 Relative deviation 1,015 1,01 1,005 1 5 2 3 4 0,995 1 2 3 4 5 Fig. 3. Relative deviations of piezometric heads in nodes 15 Relative deviation 1,01 1,005 1 0,995 0,99 0,985 0,98 0,975 0,97 0,965 0,96 0,955 1 2 3 4 5 6 7 Pm1 Pm2 Pm3 Fig. 4. Relative deviations of head gains developed by the pumps Pm1 Pm3 0,3 0,25 0,28 Increment, m 0,2 0,15 0,1 0,05 0 0,0029 5,53 10 06 9,72 10 09 2 3 4 5 Fig. 5 Infinite norm of piezometric heads increments

The number of iterations 60 50 40 30 20 10 0 53 45 38 32 26 19 9 5 5 5 5 5 5 6 1 2 3 4 5 6 7 Number of circuits with pumping units GGA L C Fig. 6 Comparison of the convergence of the calculation: Hardy Cross method (L-C) and modified global gradient method (GGA) Comparison of the convergence of the classical Hardy Cross method and the modified method of «global gradient» on a series of networks with pumping units in each independent loop was carried out, the results of which are shown in Fig. 6. Conclusion The modified algorithm, involving the introduction of piezometric heads and elevations directly into the equations of gradient algorithm, inherits high convergence of original GGA and provides ability control flow distribution and evaluate the reliability and sustainability of newly designed or existing thermal networks during the process of iterative calculation. Proposed modification greatly increases the possibility of modeling pumping stations with both parallel and series layout of pumps with different characteristics, including frequency controllers. It also makes possible for fast tracking of operational point reposition for single pumps or whole pump stations due to changes in resistance characteristics of the thermal network, which may go beyond the optimum pump performance, and hence reduce its efficiency. Research of high interest in this area is related to regulated pipeline systems with various flow and pressure control valves, which will be investigated further using authors computer program. References [1] Меренков А.П., Хасилев В.Я. Теория гидравлических цепей. М.: Наука, 1985. 279 с. [2] Todini E., Pilati S. // Computer applications in water supply, B. Coulbeck and C. H. Orr, eds., Wiley, London, 1988. P. 1 20. [3] Simpson A. R. // Water Distribution System Analysis 2010 WDSA2010, Tucson, AZ, USA, Sept. 1215, 2010.

Использование «градиентного» алгоритма применительно к моделированию тепловых сетей с насосными подстанциями А.Ю. Липовка, Ю.Л. Липовка Сибирский федеральный университет, Россия 660041, Красноярск, пр. Свободный, 79 В статье рассмотрены вопросы анализа потокораспределения в регулируемых трубопроводных системах. Предложено в систему уравнений метода «глобального градиента» ввести отметки рельефа местности и пьезометрические напоры, что позволяет в процессе итеративного приближения оценивать гидравлические режимы тепловых сетей с насосными подстанциями, регуляторами расхода и давления. На примере небольшой тепловой сети показана схема применения предлагаемой модификации метода Тодини к расчету потокораспределения. Ключевые слова: потокораспределение, уравнения потока, насосные подстанции, тепловые сети.