CN111046513B - Intelligent comprehensive energy system heating pipe network layout optimization design method - Google Patents
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Abstract
The invention discloses an intelligent comprehensive energy system heat supply pipe network layout optimization design method, which comprises the steps of 1, node layout; step 2, collecting the trend schemes of the heat supply network; step 3, distributing the number of the pipe sections; step 4, calculating the inner diameter of the pipe section; step 5, calculating the lowest pipe network cost; step 6, determining a preferred heat supply network trend scheme; and 7, determining the optimal heat supply network trend scheme. According to the mathematical programming theory, the optimal configuration of the district heating system pipe network (the optimal configuration of the pipe network and the stations which are coordinated with the overall garden planning) which is coordinated with the overall garden planning is researched by taking the optimal economic benefit as a target, so that the purposes of saving investment and operating cost are achieved. The project is developed to provide theoretical basis for engineering planning design, provide technical guarantee for efficient, energy-saving and economic operation of the system, and have important theoretical significance and practical application value.
Description
Technical Field
The invention relates to a regional heat supply network system, in particular to a heat supply network layout optimization design method of an intelligent comprehensive energy system.
Background
The core problem of heating system optimization in district heating systems is the optimization of the heat network, given the known heat source structure, heat load distribution and size, and heat station location.
The transmission and distribution pipe network is used as an important component of a district heating system and has the characteristics of large scale, complex structure, huge investment and the like. According to the calculation, the manufacturing cost of the pipe network accounts for 30% -40% of the total manufacturing cost of the system. Meanwhile, the operation cost of the pipe network is also high, and a large amount of electric energy needs to be consumed. Therefore, whether the planning and the design of the transmission and distribution pipe network are reasonable or not directly relates to the investment and the operation cost of the system. The optimal configuration of the pipe network is realized, the investment can be saved to the greatest extent, the operation cost is reduced, and the economical efficiency of system operation is improved.
The problem of optimizing the layout of the regional heat supply network means that after the positions of an energy center station and a heat station are determined, the connection of pipelines between the energy center station and the heat station has multiple schemes, and an optimal pipe network layout scheme is found from multiple pipe network connection layout schemes, so that the optimized pipe network has the optimal performance on one or more performance indexes such as economy, energy consumption or energy supply stability. From the perspective of the optimization problem, the pipe network layout optimization problem is essentially the optimization problem of the optimal topological structure of the pipe network.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an optimal design method for the layout of the heating pipe network of the intelligent integrated energy system aiming at the defects of the prior art, according to the mathematical programming theory and aiming at the best economic benefit, the optimal configuration of the pipe network of the district heating system (the optimal configuration of the pipe network and the stations which are coordinated with the overall planning of the park) which is coordinated with the overall planning of the park is researched, and the purpose of saving investment and operating cost is achieved.
In order to solve the technical problems, the invention adopts the technical scheme that:
an intelligent comprehensive energy system heat supply pipe network layout optimization design method comprises the following steps.
in the formula (d)jThe inner diameter of the j section of the pipe section in a certain heat supply network trend scheme is in the unit of m.
Δ1The absolute roughness of the inner wall of the pipe section is constant.
ρ1As water density, is a function of the temperature t of the water, in a hot water network,
R1for designed hot water network specific friction resistance, unit is pa/m。
QjThe heat load of the j-th section is in MW.
C is the specific heat of water.
tngThe temperature of water supplied to the designed hot water network is measured in degrees centigrade.
tnhThe return water temperature of the designed hot water network is measured in degrees centigrade.
And 5, calculating the lowest pipe network cost minS, wherein the calculation method comprises the following steps:
f(dj)＝a+b·dj
in the formula, S is the total cost of the pipe network of a certain heat supply network trend scheme, and the unit is ten thousand yuan.
1jThe length of the j section of the heat supply network trend scheme is measured in meters.
f(dj) Is the unit of the jth pipe sectionThe length and the cost are ten thousand yuan/meter. Wherein a and b are regression coefficients.
When solving the lowest pipe network cost, firstly constructing a communication graph for each heat supply network trend scheme, wherein m nodes are used as m communication components, and f (d) is usedj) And ljThe product of the two is used as the weight edge to be selected in the connected graph. And obtaining the edge with the minimum weight matched with the connected component by adopting a minimum tree generation method until the selection of the m-1 edges with the minimum weight is completed.
In step 4, the j section pipe section heat load QjThe calculation method comprises the following steps:
step 41, calculating the designed water flow, wherein the calculation formula is as follows:
Q1j＝c·Gj·(tng-tnh)·10-6
in the formula, Q1jThe design heat load for the j-th section is in MW. GjAnd designing water flow for the j section.
In step 4,. DELTA.1＝5×10-4。
In step 4, the calculated inner diameter d of the pipe sectionjGreater than DN50 and less than DN 1400.
In step 4, designed specific friction resistance R of hot water network1Less than 120pa/m。
Design water flow G of j section pipe sectionjDuring design, it is ensured that the maximum flow velocity in the pipe section does not exceed 3.5 m/s.
The invention has the following beneficial effects:
1. according to the mathematical programming theory, the optimal configuration of the district heating system pipe network (the optimal configuration of the pipe network and the stations which are coordinated with the overall park planning) which is coordinated with the overall park planning is researched with the aim of optimal economic benefit, and the purposes of saving investment and operating cost are achieved.
2. The project is developed to provide theoretical basis for engineering planning design, provide technical guarantee for efficient, energy-saving and economic operation of the system, and have important theoretical significance and practical application value.
Drawings
Fig. 1 shows a schematic diagram of the layout of hot user nodes in a functional area in this embodiment.
FIG. 2 shows a schematic diagram of heat source sites disposed north of an exemplary zone.
FIG. 3 shows a schematic view of a heat source point placed in the middle of an exemplary zone.
FIG. 4 shows a schematic diagram of possible connections of heating pipelines with heat source points arranged in the north of an exemplary area.
Fig. 5 shows a schematic diagram of a first preferred heat grid orientation when the heat source points are located north of the exemplary zone.
Fig. 6 shows a schematic diagram of a second preferred heat grid orientation when the heat source points are located north of the exemplary zone.
Fig. 7 shows a schematic diagram of a third preferred heat network orientation when the heat source points are located north of the exemplary zone.
Fig. 8 shows a schematic diagram of a fourth preferred heat network orientation when the heat source points are located north of the exemplary zone.
Fig. 9 shows a schematic diagram of a fifth preferred heat grid orientation when the heat source points are located north of the exemplary zone.
Figure 10 shows a schematic view of possible connections of the heating pipeline when the heat source point is arranged in the middle of the exemplary zone.
Figure 11 shows a schematic view of a first preferred heat grid orientation when the heat source points are placed in the middle of an exemplary zone.
Figure 12 shows a schematic view of a second preferred heat grid orientation scheme with heat source points placed in the middle of the exemplary zones.
Fig. 13 shows a schematic representation of a third preferred heat network orientation when the heat source points are placed in the middle of the exemplary zones.
Fig. 14 shows a schematic diagram of a fourth preferred heat network orientation when the heat source points are placed in the middle of the exemplary zones.
Figure 15 shows a schematic diagram of a fifth preferred heat grid orientation with heat source points placed in the middle of the exemplary zones.
FIG. 16 is a graph showing the cost of the piping in the example.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific preferred embodiments.
In the description of the present invention, it is to be understood that the terms "left side", "right side", "upper part", "lower part", etc., indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and that "first", "second", etc., do not represent an important degree of the component parts, and thus are not to be construed as limiting the present invention. The specific dimensions used in the present example are only for illustrating the technical solution and do not limit the scope of protection of the present invention.
An intelligent comprehensive energy system heat supply pipe network layout optimization design method comprises the following steps.
And step 1, node layout.
The hot water pipe network comprises c sections, g nodes are distributed in the hot water pipe network, one node represents a heating power station, and the position can be adjusted. g-1 nodes represent hot users and are positioned in c areas, c is less than or equal to g-1, and each area is provided with at least one hot user node.
In the embodiment, a primary section is set according to the division of the exemplary function section, a secondary section is set in the primary section according to the section area, and 1-2 nodes are respectively set in each secondary section according to the garden planning.
As shown in fig. 1, in the present embodiment, the primary zone includes an a zone (industrial zone 1), a B zone (commercial zone), a C zone (residential zone), a D zone (industrial zone 2), and an E zone (industrial zone 3), that is, C is 5.
1 node is respectively arranged in the A area, the B area and the C area, 2 secondary areas D1-1, D1-2, E1-1 and E1-2 are respectively arranged in the D area and the E area, 1 node is respectively arranged in each secondary area, and 9 hot users are in total.
Building areas of D1-1 and D1-2 are 43000 square meters, heat supply areas are 38700 square meters, and the heat supply areas are 1800 square meters for office work, 36000 square meters for factory buildings and 900 square meters for machine rooms respectively; the building areas of E1-1 and E1-2 are 73000 square meters and 63000 square meters respectively, the heating areas are 65700 square meters and 56700 respectively, and the heating areas are 1800 square meters for office work, 63000 square meters for plant, 900 square meters for machine room and 1800 square meters for office work, 54000 square meters for plant and 900 square meters for machine room respectively. The total load of each secondary area 1-24 can be calculated through load calculation.
The maximum load per hour of each district is taken as the design load of the optimization design of the pipe network, as shown in table 1.
TABLE 1 design loads of nodes
| Function area number and name | Node numbering | Design load (MW) |
| A (Industrial area 1) | 2 | 5.95 |
| B (commercial district) | 3 | 1.04 |
| C (residential area) | 4 | 7.75 |
| D (Industrial 2) | 5 | 9.08 |
| D1-1 (Industrial area 2-1) | 7 | 4.54 |
| D1-2 (Industrial 2-2) | 8 | 4.54 |
| E (Industrial district 3) | 6 | 14.45 |
| E1-1 (Industrial zone 3-1) | 9 | 7.76 |
| E1-2 (Industrial zone 3-2) | 10 | 6.69 |
The heating power station, also called heat source point, can be adjusted in position. In this embodiment, the heat source points have two layout schemes. The first approach places the heat source points north of the exemplary zone, as shown in FIG. 2; the second solution places the heat source point in the middle of the exemplary zone, as shown in FIG. 3.
First, the heat source is in the north
The preliminary connection diagram of the heating network is shown in fig. 4, and there are 10 nodes in total, that is, g is 10. Wherein, the node 1 is a heat source point, and the nodes 2 to 10 are heat users. In 10 nodes, there are 17 possible pipe segment connections, and the information of pipe lengths of 1-17 pipe segments is shown in table 2.
TABLE 2 preliminary connection and pipe length information for heat source points in the north pipe section
In the 17 possible pipe section connections, not less than 10 heat supply network trend schemes are formed, namely d is more than or equal to 10, and each heat supply network trend scheme takes the current position of a heat source point (node 1) as a starting node and takes the principle of fully covering five primary slice areas as a principle.
Second, the heat source point is in the middle
The preliminary connection diagram of the heating network is shown in fig. 10, namely g ═ 10. Wherein, the node 1 is a heat source point, and the nodes 2 to 10 are heat users. In 10 nodes, there are 16 possible pipe segment connections, and the information of pipe lengths of 1-16 pipe segments is shown in table 3.
In 16 possible pipe section connections, not less than 10 heat supply network trend schemes are formed, namely d is more than or equal to 10, each heat supply network trend scheme takes the current position of a heat source point (node 1) as a starting node, and the principle of fully covering five primary slice areas is taken.
TABLE 3 connection of heat source points at intermediate pipe sections and pipe lengths
| Serial number | Pipe segment numbering | Pipe section initial joint | Pipe section end node | Pipe length (m) |
| 1 | 1 | 1 | 2 | 1430 |
| 2 | 2 | 2 | 4 | 845 |
| 3 | 2 | 4 | 2 | 845 |
| 4 | 3 | 2 | 3 | 1079 |
| 5 | 3 | 3 | 2 | 1079 |
| 6 | 4 | 1 | 4 | 793 |
| 7 | 5 | 1 | 5 | 676 |
| 8 | 6 | 2 | 5 | 1274 |
| 9 | 6 | 5 | 2 | 1274 |
| 10 | 7 | 3 | 4 | 572 |
| 11 | 7 | 4 | 3 | 572 |
| 12 | 8 | 5 | 6 | 871 |
| 13 | 9 | 5 | 7 | 286 |
| 14 | 10 | 5 | 8 | 299 |
| 15 | 11 | 7 | 8 | 325 |
| 16 | 11 | 8 | 7 | 325 |
| 17 | 12 | 8 | 9 | 403 |
| 18 | 12 | 9 | 8 | 403 |
| 19 | 13 | 6 | 9 | 364 |
| 20 | 14 | 6 | 10 | 405 |
| 21 | 15 | 9 | 10 | 390 |
| 22 | 15 | 10 | 9 | 390 |
| 23 | 16 | 1 | 7 | 468 |
And step 3, distributing the number of the pipe sections.
Assuming that the total number of nodes contained in each heat network trend scheme in the step 2 is m, wherein m is less than or equal to g. The number of the pipe sections required to be laid in each heat supply network trend scheme is n, and n is m-1.
And 4, calculating the inner diameter of the pipe section.
And (3) calculating the inner diameter of each section of pipe section laid in each heat supply network trend scheme in the step (3) according to the following formula:
in the formula (d)jThe inner diameter of the j section of a certain heat supply network trend scheme is in unit of m; greater than DN50 and less than DN1400 are required.
Δ1Is the absolute roughness of the inner wall of the pipe section, and is constant, preferably delta1＝5×10-4。
ρ1As water density, is a function of the temperature t of the water, in a hot water network,
R1for designed hot water network specific friction resistance, unit is pa/m；R1Requires less than 120pa/m。
QjThe heat load of the j-th section is in MW.
C is the specific heat of water.
tngThe temperature of water supplied to the designed hot water network is measured in degrees centigrade.
tnhThe return water temperature of the designed hot water network is measured in degrees centigrade.
In step 4, the j section pipe section heat load QjThe calculation method comprises the following steps:
step 41, calculating the designed water flow, wherein the calculation formula is as follows:
Q1j＝c·Gj·(tng-tnh)·10-6
in the formula, Q1jThe design heat load for the j-th section is in MW. GjAnd designing water flow for the j section. GjDuring design, it is ensured that the maximum flow velocity in the pipe section does not exceed 3.5 m/s.
f(dj)＝a+b·dj
in the formula, S is the total cost of the pipe network of a certain heat supply network trend scheme, and the unit is ten thousand yuan.
ljThe length of the j section of the heat supply network trend scheme is measured in meters.
f(dj) The unit length of the jth pipe section is the cost, and the unit is ten thousand yuan/meter. Wherein a and b are regression coefficients.
The concrete solving method of the regression coefficients a and b is as follows.
The investment of the pipe network can be written into a function of the pipe diameter of each pipe section, all investments of the pipe network construction are included, such as the cost of pipes, pipeline accessories, the thickness of a heat preservation layer and construction, and the form of the investment can adopt corresponding regression model fitting according to the comprehensive cost of the pipe network.
The investment of the pipe network can be calculated according to the municipal engineering investment estimation index, and the comprehensive cost of the thermal pipelines with different pipe diameters and different laying modes in unit length is calculated. The directly-buried thermal pipeline is widely applied in recent years due to the advantages of low cost, short construction period, small occupied area and the like. The cost per unit length of the direct-buried installation, the polyurethane insulation, the bellows compensator, and the hot water pipe having a nominal diameter from DN50 to DN1000, which are obtained from the estimation index, are shown in table 4.
TABLE 4 cost per unit length of directly buried pipeline
| Nominal pipe diameter (mm) | Cost (Yuan/m) | Nominal pipe diameter (mm) | Cost (Yuan/m) |
| 50 | 325.09 | 350 | 1710.00 |
| 65 | 392.84 | 400 | 1954.04 |
| 80 | 450.61 | 450 | 2125.09 |
| 100 | 545.61 | 500 | 2412.15 |
| 125 | 651.63 | 600 | 2900.26 |
| 150 | 748.17 | 700 | 3363.02 |
| 200 | 1002.98 | 800 | 3838.97 |
| 250 | 1262.01 | 900 | 4330.89 |
| 300 | 1480.97 | 1000 | 5369.61 |
The results of table 4 are plotted as a pipeline cost curve as shown in fig. 16, and it can be seen from fig. 16 that the investment of the pipeline and the pipe diameter are approximately in a linear relationship, and the regression can be performed according to a linear regression model-least square method, and the regression formula is:
f(dj)＝a+b·dj
wherein:
fitting the data in table 4 yields the following regression equation:
f(dj)＝9.4868+4.942·dj
the concrete solving method of the lowest pipe network cost is as follows:
when solving the lowest pipe network cost, firstly constructing a communication graph for each heat supply network trend scheme, wherein m nodes are used as m communication components, and f (d) is usedj) And ljThe product of the two is used as the weight edge to be selected in the connected graph. And obtaining the edge with the minimum weight matched with the connected component by adopting a minimum tree generation method until the selection of the m-1 edges with the minimum weight is completed.
And 6, preferably determining a heat supply network trend scheme.
And (4) calculating the lowest pipe network manufacturing cost of each heat supply network trend scheme according to the step (5) for the d heat supply network trend schemes collected in the step (2), and selecting the first five heat supply network trend schemes with the lowest total price from the calculated d lowest pipe network manufacturing costs as the optimal heat supply network trend scheme.
First, the heat source is in the north
After the layout optimization calculation according to the step 5, the first 5 preferred heat network trend schemes with the lowest total cost of the pipeline (the lowest total cost is the best) are listed, and as shown in table 5, the network connection diagram of each layout scheme is respectively shown in fig. 5, fig. 6, fig. 7, fig. 8 and fig. 9.
TABLE 5 comparison of the first 5 placement schemes for heat source points in the North
Second, the heat source point is in the middle
After the layout optimization calculation according to the step 5, the first 5 preferred heat network trend schemes with the lowest total cost of the pipeline (the lowest total cost is the best) are listed, and as shown in table 6, the connection diagrams of the pipeline networks of each layout scheme are respectively shown in fig. 11, fig. 12, fig. 13, fig. 14 and fig. 15.
TABLE 6 comparison of the top 5 placement schemes with heat source points in the middle
And (3) once or twice replacing the positions of the heat station, and repeating the steps from 2 to 6 to obtain 10 or 15 preferred heat supply network trend schemes. In this embodiment, the heat station (heat source point) is initially located north of the demonstration area, and then replaced in the middle of the demonstration area, or located elsewhere, specifically according to the geographical environment and the need.
From the view points of total manufacturing cost and difficulty and easiness in arrangement of pipe networks, one heat supply network trend scheme is selected from 10 or 15 optimal heat supply network trend schemes to serve as an optimal heat supply network trend scheme.
In this embodiment, the heat source points are arranged in the north of the demonstration area and in the middle of the demonstration area, the geographic environment is not affected, and all the 10 optimal heat supply network trend schemes calculated by the minimum tree method are feasible. Therefore, the total cost is considered to be the lowest, and in the 10 preferred heat supply network trend schemes, the first scheme with the heat source point in the middle has the lowest total cost, so that the scheme is selected as the optimal heat supply network trend scheme.
Although the preferred embodiments of the present invention have been described in detail, the present invention is not limited to the details of the embodiments, and various equivalent modifications can be made within the technical spirit of the present invention, and the scope of the present invention is also within the scope of the present invention.
Claims (6)
1. An intelligent comprehensive energy system heat supply pipe network layout optimization design method is characterized by comprising the following steps: the method comprises the following steps:
step 1, node layout: the hot water pipe network comprises c sections, g nodes are distributed in the hot water pipe network, one node represents a heating station, and the position can be adjusted; g-1 nodes represent hot users and are positioned in c areas, c is less than or equal to g-1, and each area is provided with at least one hot user node;
step 2, collecting the trend schemes of the heat supply network: taking the current position of the heating station as an initial node, and taking the c areas as a principle of full coverage, finding out all possible d heat supply network trend schemes, wherein d is more than 5;
step 3, the number of the pipe sections is distributed: assuming that the total number of nodes contained in each heat supply network trend scheme in the step 2 is m, wherein m is less than or equal to g;
the number of the pipe sections required to be laid in each heat supply network trend scheme is n, and n is m-1;
step 4, calculating the inner diameter of the pipe section: and (3) calculating the inner diameter of each section of pipe section laid in each heat supply network trend scheme in the step (3) according to the following formula:
in the formula (d)jThe inner diameter of the j section of a certain heat supply network trend scheme is in unit of m;
Δ1the absolute roughness of the inner wall of the pipe section is constant;
ρ1is water density, is aboutThe function of the temperature t of the water, in the hot water network,
R1for designed hot water network specific friction resistance, unit is pa/m；
QjThe heat load of the j section is the unit MW;
c is the specific heat of water;
tngthe water supply temperature for the designed hot water network is measured in units of;
tnhthe return water temperature of the designed hot water network is measured in units of;
and 5, calculating the lowest pipe network cost minS, wherein the calculation method comprises the following steps:
f(dj)＝a+b·dj
in the formula, S is the total cost of a pipe network of a certain heat supply network trend scheme, and the unit is ten thousand yuan;
ljthe length of the j section of a certain heat supply network trend scheme is in meters;
f(dj) The unit length of the jth pipe section is the cost, and the unit is ten thousand yuan/meter; wherein a and b are regression coefficients;
when solving the lowest pipe network cost, firstly constructing a communication graph for each heat supply network trend scheme, wherein m nodes are used as m communication components, and f (d) is usedj) And ljThe product of the two is used as a weight side to be selected in the connected graph; obtaining the edge with the minimum weight matched with the connected component by adopting a minimum tree generation method until the selection of the m-1 edges with the minimum weight is completed;
step 6, determining the preferred heat supply network trend scheme: calculating the lowest pipe network cost of each heat supply network trend scheme according to the step 5 for the d heat supply network trend schemes collected in the step 2, and selecting the first five heat supply network trend schemes with the lowest total price from the calculated d lowest pipe network costs as the optimal heat supply network trend scheme;
step 7, determining the optimal heat supply network trend scheme: and (3) replacing the positions of the heat station once or twice, repeating the steps from 2 to 6 to obtain 10 or 15 optimal heat supply network trend schemes, and selecting one heat supply network trend scheme from the 10 or 15 optimal heat supply network trend schemes as the optimal heat supply network trend scheme from the viewpoints of total manufacturing cost and difficulty and easiness in pipe network layout.
2. The intelligent integrated energy system heat supply pipe network layout optimization design method according to claim 1, characterized in that: in step 4, the j section pipe section heat load QjThe calculation method comprises the following steps:
step 41, calculating the designed water flow, wherein the calculation formula is as follows:
Q1j＝C·Gj·(tng-tnh)·10-6
in the formula, Q1jDesigning the heat load of the j section of the pipe section, wherein the unit is MW; gjDesigning water flow for the j section of the pipe section;
step 42, design water flow verification: calculating the design water flow of all pipe sections in a certain heat supply network trend scheme according to the step 41; substituting the calculated design water flow of all the pipe sections into a node flow balance equation for verification; when the verification is qualified, the heat load Q of the j section of the pipe section isjEqual to the design heat load Q of the j-th section of pipe1j(ii) a Otherwise, adjusting the water flow of each pipe section according to the node flow balance equation to meet the node flow balance equation; at this time, the j-th section of the pipe section is subjected to a heat load QjAnd calculating according to the adjusted water flow of the j section of pipe.
3. The intelligent integrated energy system heat supply pipe network layout optimization design method according to claim 1, characterized in that: in step 4,. DELTA.1＝5×10-4。
4. The intelligent integrated energy system heat supply pipe network layout optimization design method according to claim 1, characterized in that: in step 4, meterCalculated pipe section internal diameter djGreater than DN50 and less than DN 1400.
5. The intelligent integrated energy system heat supply pipe network layout optimization design method according to claim 1, characterized in that: in step 4, designed specific friction resistance R of hot water network1Less than 120pa/m。
6. The intelligent integrated energy system heat supply pipe network layout optimization design method according to claim 2, characterized in that: design water flow G of j section pipe sectionjDuring design, it is ensured that the maximum flow velocity in the pipe section does not exceed 3.5 m/s.
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