CN211044253U - Complementary energy integrated utilization computing system - Google Patents
Complementary energy integrated utilization computing system Download PDFInfo
- Publication number
- CN211044253U CN211044253U CN202020008849.4U CN202020008849U CN211044253U CN 211044253 U CN211044253 U CN 211044253U CN 202020008849 U CN202020008849 U CN 202020008849U CN 211044253 U CN211044253 U CN 211044253U
- Authority
- CN
- China
- Prior art keywords
- steam
- pipe network
- complementary energy
- calculating
- processor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Abstract
The utility model relates to a complementary energy integration utilizes computing system belongs to automatic technical field. The method comprises the following steps: a steam pipe network model is established according to the actual condition of a steel mill, and parameters in the pipe network model comprise: the steam source and the user position, the pipeline diameter, the pipeline length, the heat insulation material, the pipeline connection relation and the like; calculating the generating efficiency curve of various complementary energy recycling devices according to the production data; calculating and confirming parameters such as the flow range of externally supplied steam of the waste heat generator set, the stable working condition of equipment and the like as constraint conditions; calculating each steam source parameter and steam user requirement on the pipe network according to the production condition; calculating the condensation loss of each pipe section under the corresponding working condition, and summing to obtain the condensation loss of the whole pipe network; an optimized steam supply distribution scheme of the waste heat recovery and utilization unit is provided through calculation, so that on the premise of meeting the requirements of all steam users on a pipe network, the generated energy of the waste heat recovery and utilization device is maximized, and the energy cost of an enterprise is saved.
Description
Technical Field
The utility model belongs to the technical field of it is automatic, a complementary energy integration utilizes computing system is related to.
Background
A plurality of working procedures of an iron and steel enterprise are provided with corresponding residual energy recycling devices, a large amount of steam with higher temperature and pressure can be generated in the residual energy recycling process, such as a sintering residual heat recycling device (BSP), a steelmaking converter residual heat recycling device (L SP) and a coking dry quenching furnace residual heat recycling device (CDQ), the steam can be used for generating electricity and can also be fed into a steam pipe network of the steel plant as steam for production, and the steam generated by the residual energy recycling can be optimized and utilized to effectively reduce the energy cost of the enterprise.
SUMMERY OF THE UTILITY MODEL
In view of this, an object of the present invention is to provide a complementary energy integrated utilization computing system, which integrally calculates and considers the power generation efficiency of multiple waste heat recovery devices in iron and steel enterprises and the transmission efficiency accompanying the steam transmission into a pipe network, and obtains a complementary energy integrated optimization method by using the calculation method, and forms a system.
In order to achieve the above purpose, the utility model provides a following technical scheme:
a complementary energy integrated utilization computing system, comprising: the device comprises an acquisition module, a processor, a memory, a transceiver and a communication interface;
the acquisition module, the memory and the transceiver are respectively in signal connection with the processor;
the transceiver is in signal connection with the communication interface.
Optionally, the system further comprises a display module;
the display module is in signal connection with the processor.
Optionally, the memory is a ROM, a RAM, a magnetic disk or an optical disk.
Optionally, the processor includes a central processing unit, a network processor, a digital signal processor, an application specific integrated circuit, a programmable logic device, a discrete gate, or a transistor logic device.
The beneficial effects of the utility model reside in that: calculating each steam source parameter and steam user requirement on the pipe network according to the production condition; calculating the condensation loss of each pipe section under the corresponding working condition, and summing to obtain the condensation loss of the whole pipe network; an optimized steam supply distribution scheme of the waste heat recovery and utilization unit is provided through calculation, so that on the premise of meeting the requirements of all steam users on a pipe network, the generated energy of the waste heat recovery and utilization device is maximized, and the energy cost of an enterprise is saved.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the means of the instrumentalities and/or combinations particularly pointed out in the appended claims.
Drawings
For the purposes of promoting a better understanding of the objects, features and advantages of the invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings in which:
FIG. 1 is a schematic view of a multi-source multi-user complex steam pipe network;
FIG. 2 is a block diagram of a steam pipe network computing process;
FIG. 3 is a flow chart of the calculation of the amount of condensed water in the pipe section;
fig. 4 is a flowchart of overall calculation for integrated utilization of complementary energy.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will be readily apparent to those skilled in the art from the disclosure herein. The present invention can also be implemented or applied through other different specific embodiments, and various details in the present specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the features in the following embodiments and examples may be combined with each other without conflict.
Wherein the showings are for the purpose of illustrating the invention only and not for the purpose of limiting the same, and in which there is shown by way of illustration only and not in any way limiting the scope of the invention; for a better understanding of the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if there are terms such as "upper", "lower", "left", "right", "front", "back", etc., indicating directions or positional relationships based on the directions or positional relationships shown in the drawings, it is only for convenience of description and simplification of description, but it is not intended to indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore, the terms describing the positional relationships in the drawings are only used for illustrative purposes and are not to be construed as limiting the present invention, and those skilled in the art can understand the specific meanings of the terms according to specific situations.
The contents of the utility model will now be described with reference to the steam pipe network of a certain steel mill shown in fig. 1: the dots represent the waste energy power plant (steam source), the squares represent steam users, and the grey lines represent steam pipes. On such a multi-steam-source multi-user complex pipe network, in order to satisfy the demand of the user to steam, steam needs to be supplied from different complementary energy power stations, for example, when steam user 3 needs steam, steam can be supplied to the steam from complementary energy power station a \ B \ C \ D which is close to the steam user, so that the steam transmission condensation loss is small due to the distance to the steam, but if the steam generating efficiency of the complementary energy power station a \ B \ C \ D is high, the steam supply cost is high, then steam should be supplied from complementary energy power station E \ F, but in the actual production, the condensation loss and the steam supply cost are very complicated and dynamically changed problems, through the utility model discloses a complementary energy integration optimization algorithm and system can consider steam transmission condensation loss and steam generating efficiency simultaneously, and an optimized scheduling scheme is provided.
In a steel mill production process, the demand of steam users is changed in real time, so that a steam supply scheme needs to be optimized in real time. In the optimization process, the steam pipe network is very complex, and the condensation loss of the pipe network is different under different flow rates and temperatures; the power generation equipment of the complementary energy power station is used as a steam source, the power generation equipment needs to supply steam under different load working conditions according to user requirements, the efficiency of the power generation equipment is changed along with the change of the working conditions, and the steam supply cost is changed continuously. Therefore, the optimal scheduling of the steam is a complex and real-time changing process, if the scheduling personnel perform manual optimization decision, the fine scheduling is difficult to achieve, and meanwhile, the workload can be increased for the scheduling personnel.
In order to solve the problem, the utility model provides a complementary energy integration utilizes computing system not only can calculate in real time according to steam user's change, and the optimization process can be more accurate moreover. The method comprises the following steps:
physical parameters of the steam pipe network are measured through a data acquisition system: and storing the length, the pipe diameter, the connection mode, the roughness, the heat preservation thickness and the like of the pipe section into a database to be used as a pipe network physical parameter list, and constructing a steam pipe network model.
Further, the operating parameters of the complementary energy utilization device are: the temperature, pressure, flow, generated energy, steam supply parameters and the like of the main steam are read into a database real-time data list for calculating the steam turbine power generation efficiency, namely the steam supply cost, and the real-time data list is updated according to data acquisition each time.
And further, reading temperature, pressure and flow values of steam users on the pipe network, storing the values into a real-time database, and calling an optimization calculation program to optimize steam scheduling when the steam requirements of the users change.
Further, the specific steps of steam scheduling optimization are as follows:
firstly, performing hydraulic-thermal calculation on a steam pipe network, and calculating the sum of the whole condensation losses of the pipe network: calculating an incidence matrix through a pipe network connection relation; calculating the temperature drop coefficient and the pressure drop coefficient of each section of pipeline according to the pipe network parameters; reading steam source and user steam working conditions as boundary calculation conditions; taking the pressure and the temperature at the steam source as initial conditions of steam density and specific heat, and calculating by using a node equation method to obtain node pressure and pipe section flow as a hydraulic calculation result; calculating according to the flow and the flow direction obtained from the hydraulic calculation result to obtain the temperature of all nodes and the temperature drop of the pipe section; judging whether condensed water exists or not according to the temperature and the pressure of the node, and calculating the amount of the condensed water if the condensed water exists; recalculating the steam density and specific heat according to the calculated average temperature and pressure of the pipe section; and repeating the calculation process until the precision meets the requirement, and finishing the calculation.
The main purpose of the step is to calculate the whole amount of condensed water of the pipe network, and the larger the amount of condensed water is, the larger the transmission loss is. The calculation steps of the amount of the condensed water are as follows:
if node temperature T0Greater than the saturation temperature T at the nodal pressuresatThen there is no condensation in this section of the pipeline;
if node temperature T0Less than the saturation temperature T at the nodal pressuresatThen this section of pipe has a condensation amount, which is calculated as: and subtracting the node temperature from the corresponding pressure saturation temperature, multiplying the obtained product by the specific heat and the mass flow, and dividing the obtained product by latent heat of vaporization to obtain the amount of condensed water.
And summing the condensed water amount of each pipe section in sequence to obtain the condensed water amount of the whole pipe network, wherein the larger the condensed water amount is, the larger the transmission loss is, and the condensed water amount calculation formula is as follows:
if node temperature T0Greater than the saturation temperature T at the nodal pressuresatThen there is no condensation in this section of the pipeline;
if node temperature T0Less than the saturation temperature T at the nodal pressuresatThen this section of pipe has a condensation amount, which is calculated as:
in the formula QconThe amount of condensed water, QsteamIs the flow rate of steam in the pipeline, CpIs the specific heat of the steam at the corresponding pressure, hIThe condensed water quantity of each pipe section is sequentially summed to obtain the condensed water quantity of the whole pipe network for the latent heat of steam vaporization
The block diagram of the whole pipe network hydro-thermal calculation process is shown in figure 2.
The specific calculation flow for calculating the amount of condensed water in the pipe network is shown in fig. 3.
Further, the generating efficiency of the equipment, namely the steam supply cost, is calculated according to the operating parameters of the complementary energy generating equipment. In actual operation, steam turbine owner steam pressure and temperature are far greater than pipe network steam supply temperature and pressure, so can get into the steam pipe network after needing to carry out the pressure reduction of reducing the temperature earlier, will consider the influence that the pressure reducer brought simultaneously in the course of calculating, can calculate through quality and energy conservation and obtain the conversion relation between steam supply steam and the main steam: the main steam flow is multiplied by the main steam enthalpy value, the desuperheating water flow is multiplied by the desuperheating water enthalpy value, namely the main steam flow is multiplied by the heating steam enthalpy value; the ratio of the main steam flow to the heat supply steam flow is the conversion rate of the main steam flow and the heat supply steam flow, and the calculation formula is as follows:
wherein QSteam supplySteam flow, Q, for feeding into steam pipe networksMain steamFor the main steam flow into the desuperheater, QSpeed reductionFor reducing temperature and pressure water flow, hMain steam、hSpeed reductionAnd hSteam supplyThe enthalpy values of the main steam, the temperature-reducing pressure-reducing water and the steam supplied into the pipe network are respectively, and q is the conversion rate between the steam flow supplied into the steam pipe network and the main steam flow.
According to the operating parameters of the power generation turbine: the steam inlet amount and the generated energy can calculate the generated energy consumption rate of the steam of the turbonator per unit weight, namely the cost for supplying the steam into a pipe network, and the calculation formula is as follows:
by the two formulas, the condensation loss in the steam pipe network can be linked with the steam supply cost of the power generation equipment, the calculation of the optimization process is facilitated,
according to the operating parameters of the power generation turbine: the steam inlet amount and the generated energy can calculate the generated energy consumption rate of the steam turbine generator per unit weight, namely the cost of supplying the steam to the pipe network.
Through the two parameters, the condensation loss in the steam pipe network can be associated with the steam supply cost of the power generation equipment, the calculation of the optimization process is facilitated, and then the optimization objective function becomes:
max { ∑ (generated energy-supplied steam flow rate, main supplied steam conversion rate, electric quantity conversion cost) }
Further, whenever the steam user demand changes, the steam supply amounts of different energy-saving power generation devices are sequentially changed, a gradient direction for increasing the objective function { ∑ (generated energy-steam supply amount, primary steam supply conversion rate, electric quantity conversion cost) } is found, and the process proceeds along the gradient direction until the condition is met, and then the cycle is ended, and the whole calculation process flow is shown in fig. 4.
The constraints mentioned in fig. 4 include: the complementary energy unit supplies vapour control range, equipment stable operation condition, regulation response speed, steam user demand etc. need adjust complementary energy equipment air supply volume respectively under the prerequisite that satisfies these constraint conditions for whole generated energy reaches the biggest.
In order to accomplish the above utility model function, need form a complete set of corresponding hardware equipment and form one set of computing system, include:
the acquisition module is used for respectively acquiring real-time state data of fluid states of all boundary nodes in the steam pipe network and physical parameter data for representing pipe section structures and fluid pipe physical properties;
a data processing module for processing the acquired data,
the output module is used for outputting a data processing result;
optionally, the method further includes:
and the display module is used for displaying all steam user points and the real-time working conditions of the residual energy power generation equipment, and displaying the decision scheme of the integrated utilization of the residual energy and the optimized total generated energy in real time.
A data listing module, the data listing module comprising:
a real-time data list for storing real-time status data;
a physical parameter list for storing physical parameter data;
the result data list is used for storing the requirements of all steam users, the loss amount of condensed water of the steam pipe network, the working conditions of all power generation equipment and the like;
the flow, pressure and temperature requirements of all steam users and the generated energy and steam supply of the power generation equipment are displayed in an image mode through the display module, the steam optimal scheduling from each power generation equipment to the steam user point is displayed, and the steam system is monitored in real time according to the display result.
The utility model also provides a computer readable storage medium, its characterized in that is stored thereon computer program: the program when executed by a processor implements the method of any one of the above.
The utility model also provides an electronic terminal, a serial communication port, include: a processor and a memory;
the memory is adapted to store a computer program and the processor is adapted to execute the computer program stored by the memory to cause the terminal to perform the method as defined in any one of the above.
The computer-readable storage medium in the present embodiment can be understood by those skilled in the art as follows: all or part of the steps for implementing the above method embodiments may be performed by hardware associated with a computer program. The aforementioned computer program may be stored in a computer readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The electronic terminal provided by the embodiment comprises a processor, a memory, a transceiver and a communication interface, wherein the memory and the communication interface are connected with the processor and the transceiver and are used for completing mutual communication, the memory is used for storing a computer program, the communication interface is used for carrying out communication, and the processor and the transceiver are used for operating the computer program so that the electronic terminal can execute the steps of the method.
In this embodiment, the Memory may include a Random Access Memory (RAM), and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
Finally, the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the scope of the claims of the present invention.
Claims (4)
1. A complementary energy integrated utilization computing system is characterized in that: the method comprises the following steps: the device comprises an acquisition module, a processor, a memory, a transceiver and a communication interface;
the acquisition module, the memory and the transceiver are respectively in signal connection with the processor;
the transceiver is in signal connection with the communication interface.
2. The integrated complementary energy utilization computing system according to claim 1, wherein: the system also includes a display module;
the display module is in signal connection with the processor.
3. The integrated complementary energy utilization computing system according to claim 1, wherein: the memory is a ROM, a RAM, a magnetic disk or an optical disk.
4. The integrated complementary energy utilization computing system according to claim 1, wherein: the processor may include a central processing unit, a network processor, a digital signal processor, an application specific integrated circuit, a programmable logic device, discrete gate or transistor logic device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020008849.4U CN211044253U (en) | 2020-01-03 | 2020-01-03 | Complementary energy integrated utilization computing system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020008849.4U CN211044253U (en) | 2020-01-03 | 2020-01-03 | Complementary energy integrated utilization computing system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN211044253U true CN211044253U (en) | 2020-07-17 |
Family
ID=71567536
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202020008849.4U Active CN211044253U (en) | 2020-01-03 | 2020-01-03 | Complementary energy integrated utilization computing system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN211044253U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110991092A (en) * | 2020-01-03 | 2020-04-10 | 中冶赛迪技术研究中心有限公司 | Complementary energy integrated utilization calculation method and system |
| CN112082146A (en) * | 2020-08-14 | 2020-12-15 | 东北电力大学 | Method for determining length of droplet evaporation section of temperature and pressure reducer for bypass heat supply of thermal power generating unit |
-
2020
- 2020-01-03 CN CN202020008849.4U patent/CN211044253U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110991092A (en) * | 2020-01-03 | 2020-04-10 | 中冶赛迪技术研究中心有限公司 | Complementary energy integrated utilization calculation method and system |
| CN112082146A (en) * | 2020-08-14 | 2020-12-15 | 东北电力大学 | Method for determining length of droplet evaporation section of temperature and pressure reducer for bypass heat supply of thermal power generating unit |
| CN112082146B (en) * | 2020-08-14 | 2022-12-20 | 东北电力大学 | Method for determining length of droplet evaporation section of temperature and pressure reducer for bypass heat supply of thermal power generating unit |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhang et al. | Day-ahead scheduling of multi-carrier energy systems with multi-type energy storages and wind power | |
| CN110991092A (en) | Complementary energy integrated utilization calculation method and system | |
| CN110245878B (en) | Distributed comprehensive energy demand response collaborative optimization method for intelligent building group | |
| Lu et al. | Coordinated dispatch of multi-energy system with district heating network: Modeling and solution strategy | |
| Larsen et al. | Aggregated dynamic simulation model of district heating networks | |
| CN110263966B (en) | Electric-thermal comprehensive energy system optimal scheduling method considering dynamic heat transfer process | |
| CN110046750B (en) | Energy internet collaborative optimization operation method | |
| CN107067116A (en) | A kind of multizone electric heating integrated system economic environment combined dispatching method for solving | |
| CN211044253U (en) | Complementary energy integrated utilization computing system | |
| CN107800157A (en) | The virtual power plant dual-layer optimization dispatching method of the temperature control load containing polymerization and new energy | |
| CN110175311A (en) | A kind of Optimal Power Flow calculation method based on multipotency coupling model | |
| Qu et al. | Distributed optimal control of energy hubs for micro-integrated energy systems | |
| CN114358431A (en) | Multi-energy system optimal scheduling method and device considering supply and demand bidirectional demand response | |
| Huang et al. | A neurodynamic-based distributed energy management approach for integrated local energy systems | |
| CN114154328A (en) | Flexibility-improved two-stage random optimization scheduling method for electric heating comprehensive energy system | |
| CN111274674A (en) | Distributed multi-energy scheduling method based on organic Rankine cycle system | |
| Skalyga et al. | Uncertainty-fully-aware coordinated dispatch of integrated electricity and heat system | |
| CN114077934A (en) | Comprehensive energy microgrid interconnection system and scheduling method thereof | |
| Liu et al. | Cooperative operation for integrated multi-energy system considering transmission losses | |
| Man et al. | State estimation for integrated energy system containing electricity, heat and gas | |
| Sun et al. | Multi-energy flow calculation method for we-energy based energy internet | |
| CN116777234A (en) | Method and system for constructing two-stage robust optimization model and formulating strategy | |
| Wang et al. | Integrated energy system optimal operation using Data-Driven district heating network model | |
| Xiangkun et al. | Synthesis of flexible multi-stream heat exchanger networks based on stream pseudo-temperature with genetic/simulated annealing algorithms | |
| Gu et al. | Optimal economic dispatch for an industrial park with consideration of an elastic energy cloud model with integrated demand response uncertainty |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |