CN111379965A - Memory, hydrogen system optimization method, device and equipment - Google Patents
Memory, hydrogen system optimization method, device and equipment Download PDFInfo
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- CN111379965A CN111379965A CN201811609979.7A CN201811609979A CN111379965A CN 111379965 A CN111379965 A CN 111379965A CN 201811609979 A CN201811609979 A CN 201811609979A CN 111379965 A CN111379965 A CN 111379965A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
- F17C13/00—Details of vessels or of the filling or discharging of vessels
- F17C13/02—Special adaptations of indicating, measuring, or monitoring equipment
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D3/00—Arrangements for supervising or controlling working operations
- F17D3/18—Arrangements for supervising or controlling working operations for measuring the quantity of conveyed product
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17C—VESSELS FOR CONTAINING OR STORING COMPRESSED, LIQUEFIED OR SOLIDIFIED GASES; FIXED-CAPACITY GAS-HOLDERS; FILLING VESSELS WITH, OR DISCHARGING FROM VESSELS, COMPRESSED, LIQUEFIED, OR SOLIDIFIED GASES
- F17C2221/00—Handled fluid, in particular type of fluid
- F17C2221/01—Pure fluids
- F17C2221/012—Hydrogen
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/30—Hydrogen technology
- Y02E60/32—Hydrogen storage
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/45—Hydrogen technologies in production processes
Abstract
The invention discloses a memory, a hydrogen system optimization method, a device and equipment, wherein the method comprises the steps of respectively obtaining hydrogen supply sampling values for each device in a hydrogen supply unit in a reasonable fluctuation interval of hydrogen supply data of the device, and obtaining hydrogen consumption sampling values for each device in a hydrogen consumption unit in a reasonable fluctuation interval of hydrogen consumption data of the device; calculating the working condition data of the pipe sections and the nodes in the hydrogen pipe network in each combination mode according to the hydrogen supply sampling value and the hydrogen consumption sampling value in each combination mode; determining an effective combination mode; respectively calculating the total value of hydrogen supply flow of each device of the hydrogen supply unit in each effective combination mode, and determining an optimal combination mode from the total value; and respectively adjusting the operation parameters of each device of the hydrogen supply unit according to the optimal combination mode. The invention ensures the hydrogen consumption requirements of each device in the hydrogen consumption unit with the minimum hydrogen supply flow; the hydrogen consumption of a hydrogen system can be effectively reduced, and the purposes of energy conservation and emission reduction are achieved.
Description
Technical Field
The invention relates to the field of petrochemical industry, in particular to a method, a device and equipment for optimizing a storage and a hydrogen system.
Background
The hydrogen system of the oil refinery generally comprises a hydrogen supply unit, a hydrogen consumption unit, a hydrogen recovery unit, a hydrogen pipe network and the like; the hydrogen pipe network is used as a bridge for connecting the hydrogen supply unit, the hydrogen consumption unit and the hydrogen recovery unit, and is an important basis for realizing hydrogen resource optimization. The hydrogen pipe network has the following main functions: delivering hydrogen gas of various purities to a hydrogen-consuming unit; the system is responsible for conveying the exhaust gas of the hydrogen consumption unit to a hydrogen recovery unit or a gas system; meanwhile, a stable pressure field and a stable speed field are maintained in the conveying process, so that the correct flow direction of the hydrogen-containing fluid is ensured.
In the production process, how to realize the energy conservation and emission reduction of the hydrogen system to the maximum degree is an important research subject, in the prior art, energy conservation and emission reduction means of the hydrogen system usually pay attention to the efficiency of each device in a hydrogen supply unit or a hydrogen consumption unit, and effective optimization cannot be carried out according to the organic linkage relationship among the hydrogen supply unit, the hydrogen consumption unit and a hydrogen pipe network in the hydrogen system.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to provide a memory, a hydrogen system optimization method, a device and equipment, so that the hydrogen supply utilization rate of a hydrogen supply unit can be optimized, and the purposes of energy conservation and emission reduction are achieved.
To achieve the above object, according to a first aspect of the present invention, there is provided a hydrogen system optimization method, comprising the steps of:
s11, respectively obtaining a preset number of hydrogen supply sampling values for each device in the hydrogen supply unit within a reasonable fluctuation interval of hydrogen supply data, and obtaining a preset number of hydrogen consumption sampling values for each device in the hydrogen consumption unit within a reasonable fluctuation interval of hydrogen consumption data; the hydrogen supply data comprises a hydrogen supply flow rate; the hydrogen consumption data comprises a make-up hydrogen flow rate;
s12, traversing the combination modes of the hydrogen supply sampling values and the hydrogen consumption sampling values according to the topological structure of the hydrogen pipe network, and respectively calculating the working condition data of pipe sections and nodes in the hydrogen pipe network in each combination mode according to the hydrogen supply sampling values and the hydrogen consumption sampling values in each combination mode;
s13, when the working condition data of the pipe section and the node calculated under a certain combination mode exceed the reasonable interval of the node or the pipe section, determining the combination mode as a non-effective combination mode;
s14, determining the combination mode without the non-effective combination mode as an effective combination mode;
s15, respectively calculating the total value of hydrogen supply flow of each device of the hydrogen supply unit in each effective combination mode, and determining an optimal combination mode from the total value;
and S16, respectively adjusting the operation parameters of each device of the hydrogen supply unit according to the hydrogen supply sampling value corresponding to the optimal combination mode.
Further, in the above technical solution, the estimating includes:
determining the material flow direction of a preset pipe section in the hydrogen pipe network relative to a connection node according to the hydrogen supply sampling value and/or the hydrogen consumption sampling value; the material flow direction comprises an inflow node and an outflow node;
determining the node type of the node according to the material flow direction of the pipe section relative to the node; the node types comprise a confluence node and a shunting node;
working condition data of each pipe section and/or node are calculated according to preset rules by taking the hydrogen supply sampling value and/or the hydrogen consumption sampling value as input; the working condition data comprises the flow and the flow speed of a pipe section or a node; the preset rule comprises the steps that when the node type of the preset node is a confluence node, working condition data of a pipe section with two material flow directions as inflow nodes are calculated respectively; calculating working condition data of the preset node according to a mixing rule of the two flows; then calculating working condition data of a pipe section with the material flow direction as an outflow node; when the node type of the preset node is a shunting node, firstly calculating working condition data of a pipe section with a material flow direction as an inflow node; then working condition data of a pipe section with a certain material flow direction as an outflow node are calculated; then working condition data of the preset node is calculated according to the two-fluid flow distribution rule; and then working condition data of the pipe section with the other material flow direction as the outflow node is calculated.
Further, in the above technical solution, the estimating includes:
s21, dividing the types of devices adjacent to the nodes in the hydrogen pipe network into hydrogen supply units, hydrogen consumption units and lower nodes in advance;
s22, determining an adjacent node as a target node by taking any one of a hydrogen supply unit or a hydrogen consumption unit connected with a hydrogen pipe network as a reference point, and determining the flow direction of materials in a pipe section between the reference point and the target node according to the type of the reference point and monitoring data; the material flow direction comprises an inflow node and an outflow node; the monitoring data comprises hydrogen supply flow or supplementary hydrogen flow;
s23, acquiring or calculating the material flow direction in the other two pipe sections connected with the target node according to the material flow direction in the pipe sections between the reference point and the target node and the monitoring data and/or types of the other two devices adjacent to the target node;
s24, when the material flow direction in all the adjacent pipe sections of the target node is determined and the target adjacent device comprises a lower node, setting the target node as a reference point and returning to the step S22;
s25, when the material flow direction in all the adjacent pipe sections of the target node is determined and there is no lower node in the adjacent devices of the target, or when the target node includes a pipe section in which the material flow direction cannot be estimated, setting any device that has not become a reference point in the hydrogen supply unit or the hydrogen consumption unit connected to the hydrogen pipe network as a reference point and returning to step S22;
s26, determining the material flow direction in the hydrogen pipe network, and calculating the working condition data of the pipe section by taking the monitoring data as input, wherein the adjacent device is a preset pipe section of a hydrogen supply unit or a hydrogen consumption unit;
determining the node type of a preset node for the three adjacent pipe sections according to the material flow direction of the preset pipe section in the hydrogen pipe network relative to a target node; the node types comprise a confluence node and a shunting node; taking the monitoring data as input, and calculating working condition data of the preset node according to a preset rule; the working condition data comprises the flow and the flow speed of a pipe section or a node; the preset rules include:
when the node type of the preset node is a confluence node, respectively calculating working condition data of two pipe sections with material flow directions as inflow nodes; calculating working condition data of the preset node according to a mixing rule of the two flows; then calculating working condition data of a pipe section with the material flow direction as an outflow node;
when the node type of the preset node is a shunting node, firstly calculating working condition data of a pipe section with a material flow direction as an inflow node; then working condition data of a pipe section with a certain material flow direction as an outflow node are calculated; then working condition data of the preset node is calculated according to the two-fluid flow distribution rule; and then working condition data of the pipe section with the other material flow direction as the outflow node is calculated.
Further, in the above technical solution, the hydrogen supply data further includes composition and/or raw material processing amount;
the hydrogen consumption data also comprises one of high-split discharged hydrogen flow, low-split gas flow, dry gas flow, composition, raw material processing amount and supplemented hydrogen composition and any combination thereof;
the operating condition data further comprises one of pressure, pressure drop, liquid phase quantity, gas phase quantity, liquid phase composition and gas phase composition, and any combination thereof.
Further, in the above technical solution, the reasonable working condition data interval includes:
flow rate, pressure drop, liquid phase quantity, gas phase quantity, liquid phase composition, and gas phase composition, and any combination thereof.
Further, in the above technical solution, the calculating the operating condition data of each preset pipe segment and preset node according to a preset rule with the hydrogen supply data and the hydrogen consumption data as input includes:
one of a flow velocity calculation model, a flow state judgment model, a pressure drop calculation model, a phase state judgment model and a thermodynamic equation and any combination thereof are adopted.
According to a second aspect of the present invention, there is also provided a hydrogen system optimization apparatus, comprising:
the sampling unit is used for respectively acquiring a preset number of hydrogen supply sampling values for each device in the hydrogen supply unit within a reasonable fluctuation interval of the hydrogen supply data, and acquiring a preset number of hydrogen consumption sampling values for each device in the hydrogen supply unit within a reasonable fluctuation interval of the hydrogen consumption data; the hydrogen supply data comprises a hydrogen supply flow rate; the hydrogen consumption data comprises a make-up hydrogen flow rate;
the calculation unit is used for traversing the combination modes of the hydrogen supply sampling values and the hydrogen consumption sampling values and calculating the working condition data of the pipe sections and the nodes in the hydrogen pipe network according to the hydrogen supply sampling values and the hydrogen consumption sampling values in each combination mode;
the excluding unit is used for determining the combination mode as a non-effective combination mode when the pipe section and the node working condition data calculated in a certain combination mode exceed the node or the reasonable interval of the pipe section;
a determining unit, configured to determine the combination mode from which the non-effective combination mode is removed as an effective combination mode;
the optimizing unit is used for respectively calculating the total value of the hydrogen supply flow of each device of the hydrogen supply unit under each effective combination mode and determining the optimal combination mode;
and the adjusting unit is used for adjusting the operating parameters of each device of the hydrogen supply unit according to the hydrogen supply sampling value corresponding to the optimal combination mode.
Further, in the above technical solution, the adjusting unit includes:
the conversion component is used for generating the operation parameter values of each device of the hydrogen supply unit according to the hydrogen supply sampling value corresponding to the optimal combination mode; the operating parameter value includes a hydrogen supply flow rate.
To solve the above technical problem, the present invention also provides a memory including a non-transitory computer-readable storage medium storing computer-executable instructions for performing the method of the above aspects and achieving the same technical effects.
To solve the above technical problems, the present invention also provides a hydrogen system optimization apparatus including a computer program stored on a memory, the computer program including program instructions that, when executed by a computer, cause the computer to perform the method of the above aspects and achieve the same technical effects.
Advantageous effects
According to the memory, the hydrogen system optimization method, the device and the equipment, under the structure of the current hydrogen pipe network, various combination modes of hydrogen supply data and hydrogen consumption data which possibly occur between each device in the hydrogen supply unit and each device in the hydrogen consumption unit are obtained by deducing working condition data in the hydrogen pipe network; in a combination mode (namely, an effective combination mode) capable of maintaining normal operation of the hydrogen system, the hydrogen supply flow is respectively calculated for each combination mode, so that the most economical combination mode (namely, the optimal combination mode) is found; due to the optimal combination mode, the hydrogen consumption requirements of all devices in the hydrogen consumption unit are ensured with the minimum hydrogen supply flow; therefore, the most energy-saving operation parameter combination mode of each device in the hydrogen supply unit can be determined according to the optimal combination mode, so that the hydrogen consumption of the hydrogen system can be effectively reduced, and the purposes of energy conservation and emission reduction are achieved.
Other features and aspects of the present invention will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
FIG. 1 is a schematic diagram illustrating steps of a hydrogen system optimization method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of another step of a hydrogen system optimization method provided by an embodiment of the invention;
fig. 3 is a schematic structural diagram of a hydrogen system optimization device provided in an embodiment of the present invention;
fig. 4 is a schematic diagram of a hardware structure of a hydrogen system optimization device according to an embodiment of the present invention.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present invention. It will be understood by those skilled in the art that the present invention may be practiced without some of these specific details. In some instances, methods, means, elements well known to those skilled in the art have not been described in detail so as not to obscure the present invention.
Example 1
Fig. 1 shows a flowchart of a hydrogen system optimization method provided by an embodiment of the present invention, which may be performed by an electronic device, such as a network device, a terminal device, or a server device. In other words, the method may be performed by software or hardware installed in a network device, a terminal device, or a server device. The server includes but is not limited to: a single server, a cluster of servers, etc. Referring to fig. 1, the method includes the following steps.
S11, respectively obtaining a preset number of hydrogen supply sampling values for each device in the hydrogen supply unit within a reasonable fluctuation interval of hydrogen supply data, and obtaining a preset number of hydrogen consumption sampling values for each device in the hydrogen consumption unit within a reasonable fluctuation interval of hydrogen consumption data; the hydrogen supply data comprises hydrogen supply flow; the hydrogen consumption data includes make-up hydrogen flow;
the hydrogen system comprises a plurality of devices in a hydrogen supply unit, a plurality of devices in a hydrogen consumption unit and a hydrogen pipe network; specifically, a plurality of steam sources carry out hydrogen transportation on a plurality of steam traps through a plurality of pipe sections of a hydrogen pipe network; because the hydrogen pipe network connecting a plurality of steam sources and a plurality of steam traps has a complex structure and comprises a plurality of pipe sections and nodes, the change of the operating parameters of each steam source or steam trap influences the dynamic characteristics of material fluid in each pipe section, thereby possibly influencing the operating parameters of other steam sources or steam traps.
For the reasons, in the prior art, when energy conservation and emission reduction are performed, only the hydrogen production efficiency of the hydrogen supply unit or the hydrogen consumption efficiency of the hydrogen consumption unit is concerned, and for the setting of the operation parameters of each device in the hydrogen consumption unit, only an appropriate setting range can be found empirically or tentatively.
The core invention idea of the embodiment of the invention is to traverse possible combination modes of the operation parameters of each steam source and the operation parameters of each steam trap; then, a combination mode (namely, an effective combination mode) which can actually realize good operation of the hydrogen system is found out through deducing working condition data of pipe sections and nodes in the hydrogen pipe network; then, in the effective combination method, the hydrogen supply flow rate is calculated, and the most economical combination method (i.e., the optimum combination method) is found from the plurality of effective combination methods.
Based on the above knowledge, in the embodiment of the present invention, a reasonable fluctuation interval of hydrogen supply data and a reasonable fluctuation interval of hydrogen consumption data are first determined when each device (including a hydrogen supply unit and a hydrogen consumption unit) normally operates;
then, by carrying out multipoint sampling on a reasonable fluctuation interval of hydrogen supply data of each device in the hydrogen supply unit, assuming that the hydrogen supply data of the device can be any one of a plurality of hydrogen supply sampling values during actual operation; similarly, by multipoint sampling the reasonable fluctuation interval of the hydrogen consumption data of each device in the hydrogen consumption unit, the hydrogen consumption data of the device is assumed to be any one of a plurality of hydrogen supply sampling values in actual operation. Each device can represent the operation parameters of the device under all operation states respectively by traversing all sampling values of the device.
It should be noted that, in the embodiment of the present invention, whether a certain device belongs to a hydrogen supply unit or a hydrogen consumption unit is determined according to the function of the pipe segment connected with the certain device, that is, as long as hydrogen is supplied through the pipe segment, the device is a hydrogen supply unit for the node connected with the pipe segment; specifically, the hydrogen supply unit in the embodiment of the present invention includes hydrogen production equipment such as a natural gas steam reforming hydrogen production device, a coal hydrogen production device, a reforming byproduct hydrogen production device, an ethylene byproduct hydrogen production device, and an electrolytic water hydrogen production device, and when a certain device consumes hydrogen and has a hydrogen production function (hydrogen recovery), then, for a pipe section connected to a hydrogen supply interface of the device, the pipe section is used for supplying hydrogen to a node, and at this time, the device is defined as belonging to the hydrogen supply unit by the corresponding node; since the device also has a hydrogen consuming interface, for the pipe section connected to the hydrogen consuming interface, it is used to discharge hydrogen for the node, and the device will be defined as belonging to the hydrogen consuming unit by the corresponding node.
In practical application, the hydrogen supply data and the hydrogen consumption data can be obtained from monitoring equipment in a hydrogen supply unit or a hydrogen consumption unit, such as various instruments or sensors, or can be generated according to data of a distributed control system DCS, a laboratory information management system LIMS, a real-time database, human input and the like; in order to obtain more comprehensive working condition information, in the embodiment of the invention, the hydrogen supply data further comprises composition and/or raw material processing amount; the hydrogen consumption data further comprises one of high partial discharge hydrogen flow, low partial gas flow, dry gas flow, composition, raw material processing amount and make-up hydrogen composition, and any combination thereof.
S12, traversing the combination modes of the hydrogen supply sampling values and the hydrogen consumption sampling values, and calculating the working condition data of the pipe sections and nodes in the hydrogen pipe network according to the hydrogen supply sampling values and the hydrogen consumption sampling values in each combination mode;
the hydrogen pipe network is respectively connected with a plurality of hydrogen supply unit devices and a plurality of hydrogen consumption unit devices; there are various possibilities (i.e., the number of hydrogen supply sample values) for the hydrogen supply data of the device of each hydrogen supply unit; there are also a number of possibilities (i.e., the number of hydrogen consumption samples) for the hydrogen consumption data of the devices per hydrogen consumption unit; therefore, the combination mode of hydrogen supply data and hydrogen consumption data which are possibly generated by the devices of the hydrogen supply units and the devices of the hydrogen consumption units when the actual hydrogen system is in actual operation can be simulated by traversing the combination modes of various hydrogen supply sampling values and the hydrogen consumption sampling values.
Under each combination mode, the devices of the hydrogen supply units and the devices of the hydrogen consumption units have corresponding hydrogen supply data (represented by hydrogen supply sampling values) and hydrogen consumption data (represented by hydrogen consumption sampling values); at the moment, for a certain combination mode, the hydrogen supply sampling value and the hydrogen consumption sampling value can be used as parameters, and the calculation of the working condition data of each pipe section and each node is carried out according to the topological structure of the hydrogen pipe network.
The specific estimation method may be: determining the material flow direction of a preset pipe section in the hydrogen pipe network relative to a connection node according to the hydrogen supply sampling value and/or the hydrogen consumption sampling value; the material flow direction comprises an inflow node and an outflow node; determining the node type of the node according to the material flow direction of the pipe section relative to the node; the node types comprise a confluence node and a shunting node; working condition data of each pipe section and/or node are calculated according to preset rules by taking the hydrogen supply sampling value and/or the hydrogen consumption sampling value as input; the working condition data comprises the flow and the flow speed of a pipe section or a node; the preset rule comprises the steps that when the node type of the preset node is a confluence node, working condition data of a pipe section with two material flow directions as inflow nodes are calculated respectively; calculating working condition data of the preset node according to a mixing rule of the two flows; then calculating working condition data of a pipe section with the material flow direction as an outflow node; when the node type of the preset node is a shunting node, firstly calculating working condition data of a pipe section with a material flow direction as an inflow node; then working condition data of a pipe section with a certain material flow direction as an outflow node are calculated; then working condition data of the preset node is calculated according to the two-fluid flow distribution rule; and then working condition data of the pipe section with the other material flow direction as the outflow node is calculated.
Specifically, in the embodiment of the present invention, typical hydrogen supply data and hydrogen consumption data may be flow rates of materials, where a hydrogen supply unit transmits materials to an adjacent node through a pipe segment, and a hydrogen consumption unit receives materials transmitted from the adjacent node; thus for a node, the flow direction of the material includes an inflow node and an outflow node;
it should be noted that the node in the embodiment of the present invention refers to a three-way connection device in a hydrogen pipe network, each node is connected with three pipe segments, one end of each pipe segment is connected with a node, and the other end of each pipe segment can be communicated with a hydrogen supply interface of a certain hydrogen supply unit, or communicated with a hydrogen consumption interface of a certain hydrogen consumption unit, or communicated with another node of the next stage; the material in and out of each node is the same.
The specific way of determining the material flow direction of the preset pipe section in the hydrogen pipe network relative to the connection node according to the hydrogen supply data and the hydrogen consumption data may be:
the hydrogen supply unit inputs materials to the node, and the material flow direction is an inflow node; the hydrogen consumption unit receives the material flowing out of the node, the material flow direction is the outflow node, and the input amount and the output amount of the material of each node are the same; therefore, when the flow and the flow direction of materials in two of the three pipe sections connected by the node can be determined, the flow and the flow direction of the third pipe section can be calculated; in general, the connection destination of the third pipe segment to be estimated in one node is another node (i.e., a node lower than the node to be estimated). For the subordinate node, when it is the material receiving the superior node, the superior node will be considered as a hydrogen supply unit; conversely, when the lower node is to be considered as delivering material to an upper node, the upper node will be considered to be a hydrogen-consuming unit.
In the embodiment of the invention, the nodes are divided into two types, namely, a confluence node and a diversion node according to the inflow and outflow characteristics of materials in the nodes, namely, the nodes with one material inlet and two material outlets are set as the diversion nodes according to the material flow directions of three pipe sections of the nodes relative to the nodes; the node of two in and one out of the materials is set as a confluence node.
Calculating working condition data of each preset pipe section and/or preset node according to preset rules by taking hydrogen supply data and hydrogen consumption data as input; the working condition data comprises the flow of a pipe section or a node, and in addition, the working condition data also can comprise one of pressure, pressure drop, flow rate, liquid phase quantity, gas phase quantity, liquid phase composition and gas phase composition and any combination thereof;
in the embodiment of the invention, different calculation modes can be adopted according to different types of nodes to obtain more accurate results; in practical application, the hydrogen supply data can include hydrogen supply flow, material composition, raw material processing amount and other data; the hydrogen consumption data can comprise supplementary hydrogen flow, high-branch discharged hydrogen flow, low-branch gas flow, dry gas flow, composition, raw material processing amount, supplementary hydrogen composition and the like; when the types of data are increased, more types of working condition data such as flow, pressure drop, flow rate, liquid phase quantity, gas phase quantity, liquid phase composition, gas phase composition and the like can be correspondingly obtained through a preset rule. Specifically, the preset rules may include: when the node type of the preset node is a confluence node, respectively calculating working condition data of two pipe sections with material flow directions as inflow nodes; working condition data of a preset node is calculated according to a mixing rule of the two flows; then calculating working condition data of a pipe section with the material flow direction as an outflow node; when the node type of the preset node is a shunting node, firstly calculating working condition data of a pipe section with a material flow direction as an inflow node; then working condition data of a pipe section with a certain material flow direction as an outflow node are calculated; then working condition data of a preset node is calculated according to the two-fluid flow distribution rule; and then working condition data of the pipe section with the other material flow direction as the outflow node is calculated.
In practical application, the hydrogen supply data and the hydrogen consumption data are used as input, working condition data of each preset pipe section and each preset node are calculated according to preset rules, and the adopted algorithm, formula and calculation model can comprise: the flow velocity calculation model, the flow state judgment model, the pressure drop calculation model, the phase state judgment model, the thermodynamic equation and the like, wherein:
the flow rate calculation model may be:
in the formula: v is the flow rate; v is the volume flow; s is the cross-sectional area of the pipeline; p0Is standard atmospheric pressure, 101325 Pa; t is0273.15K; v0Is a standard volume flow; t is the temperature; p is pressure;diis the inner diameter of the pipe.
The flow state determination model is as follows:
in the formula: reIs the Reynolds coefficient; v is the flow rate; ρ is the fluid density; μ is hydrodynamic viscosity, cp; p is pressure; t is the temperature; r is 8.314J/(mol.K); mmixIs the mixed molar mass;
is the volume fraction of component i; miIs the molar mass of component i.
The pressure drop calculation model is as follows:
ΔPp＝(ΔPf+ΔPt) × 1.15.15 formula 7
In the formula: delta PpIs the pipe section pressure drop; delta PfA straight tube pressure drop; delta PtIs the local resistance pressure drop; lambda is the coefficient of friction; l is the length of the pipeline; k is the resistance coefficient of pipe sections, nodes, pipe fittings or valves and the like.
The phase state determination model in the embodiment of the invention can be used for calculating the dew point pressure P of the stream at the same temperature T and the same composition n by using a thermodynamic equation of state on the premise of knowing the temperature T, the pressure P and the composition nLIf the actual pressure P is greater than the dew point pressureForce PLIf so, indicating that a liquid phase exists, then calculating the flow rate and the composition of the gas phase and the liquid phase under T, P by using a phase equilibrium principle, otherwise, indicating that no liquid phase exists.
The thermodynamic equation in the embodiment of the present invention may include a mature thermodynamic model such as an SRK equation, a PR equation, or a BWRS equation, which may be selected by a person skilled in the art according to needs and is not limited herein.
Preferably, in the embodiment of the present invention, regarding the calculation of the operating condition data, a specific process thereof may also be as shown in fig. 2, and includes the following steps:
s21, dividing the types of devices adjacent to the nodes in the hydrogen pipe network into hydrogen supply units, hydrogen consumption units and lower nodes in advance;
s22, determining an adjacent node as a target node by taking any one of a hydrogen supply unit or a hydrogen consumption unit connected with the hydrogen pipe network as a reference point, and determining the flow direction of materials in a pipe section between the reference point and the target node according to the type of the reference point and monitoring data; the material flow direction comprises an inflow node and an outflow node; the hydrogen supply monitoring data comprises hydrogen supply flow or make-up hydrogen flow;
s23, acquiring or calculating the material flow direction in the other two pipe sections connected with the target node according to the material flow direction in the pipe sections between the reference point and the target node and the monitoring data and/or types of the other two devices adjacent to the target node;
s24, when the material flow direction in all the adjacent pipe sections of the target node is determined and the target adjacent device comprises a lower node, setting the target node as a reference point and returning to the step S22;
s25, when the material flow direction in all the adjacent pipe sections of the target node is determined and there is no lower node in the adjacent devices of the target, or when the target node includes a pipe section in which the material flow direction cannot be estimated, setting any device that has not become a reference point in the hydrogen supply unit or the hydrogen consumption unit connected to the hydrogen pipe network as a reference point and returning to step S22;
s26, determining the material flow direction in the hydrogen pipe network, and calculating the working condition data of the pipe section by taking the monitoring data as input, wherein the adjacent device is a preset pipe section of a hydrogen supply unit or a hydrogen consumption unit;
determining the node type of a preset node for the three adjacent pipe sections according to the material flow direction of the preset pipe section in the hydrogen pipe network relative to a target node; the node types comprise a confluence node and a shunting node; calculating working condition data of the preset node according to a preset rule by taking the data as input; the working condition data comprises the flow and the flow speed of a pipe section or a node; the preset rules include:
when the node type of the preset node is a confluence node, respectively calculating working condition data of two pipe sections with material flow directions as inflow nodes; calculating working condition data of the preset node according to a mixing rule of the two flows; then calculating working condition data of a pipe section with the material flow direction as an outflow node;
when the node type of the preset node is a shunting node, firstly calculating working condition data of a pipe section with a material flow direction as an inflow node; then working condition data of a pipe section with a certain material flow direction as an outflow node are calculated; then working condition data of the preset node is calculated according to the two-fluid flow distribution rule; and then working condition data of the pipe section with the other material flow direction as the outflow node is calculated.
S13, when the working condition data of the pipe section and the node calculated under a certain combination mode exceed the reasonable interval of the node or the pipe section, determining the combination mode as a non-effective combination mode;
working condition data of the corresponding pipe sections and nodes in the hydrogen pipe network can be calculated according to each combination mode; the condition data calculated in some combination modes may not belong to a reasonable condition data interval, for example, a reasonable flow rate interval or a reasonable pressure interval of a certain pipe section; this means that if, in actual operation, each hydrogen supply unit device and each hydrogen consumption unit device respectively meet the hydrogen supply sampling value and the hydrogen consumption sampling value in the above combination mode, the working condition of the pipe section in the hydrogen pipe network is in an unreasonable range.
If the working condition data of nodes or pipe sections are in an unreasonable range in a certain combination mode, the whole hydrogen system cannot operate well. Therefore, the combination can be determined as a non-effective combination.
All the unreasonable combinations can be obtained by respectively judging the working condition data in a traversing way of each combination.
And S14, determining the combination mode without the non-effective combination mode as an effective combination mode.
By eliminating the non-effective combination modes, effective combination modes can be determined from all combination modes, and the effective combination modes refer to the combination modes of the operation parameters which are possibly generated by each device in the hydrogen supply unit and each device in the hydrogen consumption unit on the premise of ensuring the good operation of the hydrogen system.
S15, respectively calculating the total value of hydrogen supply flow of each device of the hydrogen supply unit in each effective combination mode, and determining an optimal combination mode from the total value;
each effective combination mode in the embodiment of the invention is used as a simulation state of an operation parameter combination mode of each device in the hydrogen supply unit and each device in the hydrogen consumption unit on the premise of ensuring the good operation of the hydrogen system, and the respective hydrogen supply flow of each device of the hydrogen supply unit in each operation parameter combination mode can be calculated; therefore, by respectively calculating the total value of the hydrogen supply flow of each device of each effective combination mode hydrogen supply unit, the combination mode with less total hydrogen supply amount can be determined as the optimal combination mode through comparison;
and S16, respectively adjusting the operation parameters of each device of the hydrogen supply unit according to the hydrogen supply sampling value corresponding to the optimal combination mode.
Because each effective combination mode in the embodiment of the invention has the corresponding device in the hydrogen supply unit and the operation parameter combination mode of each device in the hydrogen consumption unit, the operation parameters of each device in the hydrogen supply unit can be respectively adjusted through the hydrogen supply sampling value corresponding to the optimal combination mode, so that the combination mode of the operation parameters of each device in the hydrogen system is adjusted to correspond to the optimal combination mode, and the good operation of each device in the hydrogen consumption unit is maintained with the least hydrogen consumption.
In practical application, the optimal combination modes can also comprise a plurality of optimal combination modes for respective trial in practical application, so that the combination modes which are more suitable for practical application can be selected.
In summary, in the embodiment of the present invention, under the structure of the current hydrogen pipe network, various combination modes of hydrogen supply data and hydrogen consumption data that may occur between each device in the hydrogen supply unit and each device in the hydrogen consumption unit are obtained by deducing the working condition data in the hydrogen pipe network; in a combination mode (namely, an effective combination mode) capable of maintaining normal operation of the hydrogen system, the hydrogen supply flow is respectively calculated for each combination mode, so that the most economical combination mode (namely, the optimal combination mode) is found; due to the optimal combination mode, the hydrogen consumption requirements of all devices in the hydrogen consumption unit are ensured with the minimum hydrogen supply flow; therefore, the most energy-saving operation parameter combination mode of each device in the hydrogen supply unit can be determined according to the optimal combination mode, and further, the hydrogen consumption of the hydrogen system can be effectively reduced, and the purposes of energy conservation and emission reduction are achieved.
Example 2
Fig. 3 is a schematic structural diagram of a hydrogen system optimization apparatus according to an embodiment of the present invention, where the hydrogen system optimization apparatus is an apparatus corresponding to the hydrogen system optimization method in embodiment 1, that is, the hydrogen system optimization method in embodiment 1 is implemented by using a virtual device, and each virtual module constituting the hydrogen system optimization apparatus may be executed by an electronic device, such as a network device, a terminal device, or a server.
Specifically, the hydrogen system optimization device in the embodiment of the present invention is shown in fig. 3, and includes:
the sampling unit 01 is used for respectively acquiring a preset number of hydrogen supply sampling values for each device in the hydrogen supply unit within a reasonable fluctuation interval of the hydrogen supply data, and acquiring a preset number of hydrogen consumption sampling values for each device in the hydrogen supply unit within a reasonable fluctuation interval of the hydrogen consumption data; the hydrogen supply data comprises a hydrogen supply flow rate; the hydrogen consumption data comprises a make-up hydrogen flow rate;
the calculation unit 02 is used for traversing the combination modes of the hydrogen supply sampling values and the hydrogen consumption sampling values, and calculating the working condition data of the pipe sections and the nodes in the hydrogen pipe network according to the hydrogen supply sampling values and the hydrogen consumption sampling values in each combination mode;
the excluding unit 03 is used for determining the combination mode as a non-effective combination mode when the pipe section and the node working condition data calculated in a certain combination mode exceed the reasonable interval of the node or the pipe section;
the determining unit 04 is configured to determine the combination mode from which the non-effective combination mode is removed as an effective combination mode;
the optimizing unit 05 is used for respectively calculating the total value of the hydrogen supply flow of each device of the hydrogen supply unit under each effective combination mode, and determining the optimal combination mode;
the adjusting unit 06 is configured to adjust the operation parameters of each device of the hydrogen supply unit according to the hydrogen supply sampling value corresponding to the optimal combination manner.
Since the working principle and the beneficial effects of the hydrogen system optimization device in the embodiment of the present invention have been described and illustrated in the hydrogen system optimization method in embodiment 1, they may be referred to each other and are not described herein again.
Example 3
Embodiments of the present invention provide a memory, which may be a non-transitory (non-volatile) computer storage medium storing computer-executable instructions that may perform the steps of the hydrogen system optimization method in any of the above method embodiments and achieve the same technical effects.
Example 4
The embodiment of the invention provides a hydrogen system optimization device, wherein a memory included in the hydrogen system optimization device comprises a corresponding computer program product, and program instructions included in the computer program product can cause the computer to execute the hydrogen system optimization method in the above aspects when executed by the computer, and achieve the same technical effects.
Fig. 4 is a schematic diagram of a hardware structure of a hydrogen system optimization device as an electronic device according to an embodiment of the present invention, and as shown in fig. 4, the device includes one or more processors 610 and a memory 620. Take a processor 610 as an example. The apparatus may further include: an input device 630 and an output device 640.
The processor 610, the memory 620, the input device 630, and the output device 640 may be connected by a bus or other means, such as the bus connection in fig. 4.
The memory 620, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules. The processor 610 executes various functional applications and data processing of the electronic device, i.e., the processing method of the above-described method embodiment, by executing the non-transitory software programs, instructions and modules stored in the memory 620.
The memory 620 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data and the like. Further, the memory 620 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 620 optionally includes memory located remotely from the processor 610, which may be connected to the processing device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 630 may receive input numeric or character information and generate a signal input. The output device 640 may include a display device such as a display screen.
The one or more modules are stored in the memory 620 and, when executed by the one or more processors 610, perform:
respectively acquiring a preset number of hydrogen supply sampling values for each device in the hydrogen supply unit within a reasonable fluctuation interval of hydrogen supply data of the device, and acquiring a preset number of hydrogen consumption sampling values for each device in the hydrogen consumption unit within a reasonable fluctuation interval of hydrogen consumption data of the device; the hydrogen supply data comprises a hydrogen supply flow rate; the hydrogen consumption data comprises a make-up hydrogen flow rate;
traversing the combination modes of the hydrogen supply sampling values and the hydrogen consumption sampling values according to the topological structure of the hydrogen pipe network, and respectively calculating the working condition data of pipe sections and nodes in the hydrogen pipe network in each combination mode according to the hydrogen supply sampling values and the hydrogen consumption sampling values in each combination mode;
according to a preset reasonable working condition data interval of each pipe section or node, determining working condition data which do not belong to the reasonable working condition data interval in the working condition data as fault working condition data;
determining the combination mode of the hydrogen supply sampling value and the hydrogen consumption sampling value corresponding to the fault working condition data as an unreasonable combination;
and judging whether the hydrogen supply data of each device in the hydrogen supply unit and the hydrogen consumption data of each device in the hydrogen consumption unit which are acquired in real time belong to unreasonable combination.
The product can execute the method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
The electronic device of the embodiments of the present invention exists in various forms including, but not limited to, the following devices.
(1) Mobile communication devices, which are characterized by mobile communication capabilities and are primarily targeted at providing voice and data communications. Such terminals include smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(2) The ultra-mobile personal computer equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include PDA, MID, and UMPC devices, such as ipads.
(3) Portable entertainment devices such devices may display and play multimedia content. Such devices include audio and video players (e.g., ipods), handheld game consoles, electronic books, as well as smart toys and portable car navigation devices.
(4) The server is similar to a general computer architecture, but has higher requirements on processing capability, stability, reliability, safety, expandability, manageability and the like because of the need of providing highly reliable services.
(5) And other electronic devices with data interaction functions.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. Based on such understanding, the above technical solutions substantially or contributing to the related art may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for optimizing a hydrogen system, comprising the steps of:
s11, respectively obtaining a preset number of hydrogen supply sampling values for each device in the hydrogen supply unit within a reasonable fluctuation interval of hydrogen supply data, and obtaining a preset number of hydrogen consumption sampling values for each device in the hydrogen consumption unit within a reasonable fluctuation interval of hydrogen consumption data; the hydrogen supply data comprises a hydrogen supply flow rate; the hydrogen consumption data comprises a make-up hydrogen flow rate;
s12, traversing the combination modes of the hydrogen supply sampling values and the hydrogen consumption sampling values according to the topological structure of the hydrogen pipe network, and respectively calculating the working condition data of pipe sections and nodes in the hydrogen pipe network in each combination mode according to the hydrogen supply sampling values and the hydrogen consumption sampling values in each combination mode;
s13, when the working condition data of the pipe section and the node calculated under a certain combination mode exceed the reasonable interval of the node or the pipe section, determining the combination mode as a non-effective combination mode;
s14, determining the combination mode without the non-effective combination mode as an effective combination mode;
s15, respectively calculating the total value of hydrogen supply flow of each device of the hydrogen supply unit in each effective combination mode, and determining an optimal combination mode from the total value;
and S16, respectively adjusting the operation parameters of each device of the hydrogen supply unit according to the hydrogen supply sampling value corresponding to the optimal combination mode.
2. A hydrogen system optimization method in accordance with claim 1, wherein the estimating includes:
determining the material flow direction of a preset pipe section in the hydrogen pipe network relative to a connection node according to the hydrogen supply sampling value and/or the hydrogen consumption sampling value; the material flow direction comprises an inflow node and an outflow node;
determining the node type of the node according to the material flow direction of the pipe section relative to the node; the node types comprise a confluence node and a shunting node;
working condition data of each pipe section and/or node are calculated according to preset rules by taking the hydrogen supply sampling value and/or the hydrogen consumption sampling value as input; the working condition data comprises the flow and the flow speed of a pipe section or a node; the preset rule comprises the steps that when the node type of the preset node is a confluence node, working condition data of a pipe section with two material flow directions as inflow nodes are calculated respectively; calculating working condition data of the preset node according to a mixing rule of the two flows; then calculating working condition data of a pipe section with the material flow direction as an outflow node; when the node type of the preset node is a shunting node, firstly calculating working condition data of a pipe section with a material flow direction as an inflow node; then working condition data of a pipe section with a certain material flow direction as an outflow node are calculated; then working condition data of the preset node is calculated according to the two-fluid flow distribution rule; and then working condition data of the pipe section with the other material flow direction as the outflow node is calculated.
3. A hydrogen system optimization method in accordance with claim 1, wherein the estimating includes:
s21, dividing the types of devices adjacent to the nodes in the hydrogen pipe network into hydrogen supply units, hydrogen consumption units and lower nodes in advance;
s22, determining an adjacent node as a target node by taking any one of a hydrogen supply unit or a hydrogen consumption unit connected with the hydrogen pipe network as a reference point, and determining the flow direction of materials in a pipe section between the reference point and the target node according to the type of the reference point and monitoring data; the material flow direction comprises an inflow node and an outflow node; the monitoring data comprises hydrogen supply flow or supplementary hydrogen flow;
s23, acquiring or calculating the material flow direction in the other two pipe sections connected with the target node according to the material flow direction in the pipe sections between the reference point and the target node and the monitoring data and/or types of the other two devices adjacent to the target node;
s24, when the material flow direction in all the adjacent pipe sections of the target node is determined and the target adjacent device comprises a lower node, setting the target node as a reference point and returning to the step S22;
s25, when the material flow direction in all the adjacent pipe sections of the target node is determined and there is no lower node in the adjacent devices of the target, or when the target node includes a pipe section in which the material flow direction cannot be estimated, setting any device that has not become a reference point in the hydrogen supply unit or the hydrogen consumption unit connected to the hydrogen pipe network as a reference point and returning to step S22;
s26, determining the material flow direction in the hydrogen pipe network, and calculating the working condition data of the pipe section by taking the monitoring data as input, wherein the adjacent device is a preset pipe section of a hydrogen supply unit or a hydrogen consumption unit;
determining the node type of a preset node for the three adjacent pipe sections according to the material flow direction of the preset pipe section in the hydrogen pipe network relative to a target node; the node types comprise a confluence node and a shunting node; taking the monitoring data as input, and calculating working condition data of the preset node according to a preset rule; the working condition data comprises the flow and the flow speed of a pipe section or a node; the preset rules include:
when the node type of the preset node is a confluence node, respectively calculating working condition data of two pipe sections with material flow directions as inflow nodes; calculating working condition data of the preset node according to a mixing rule of the two flows; then calculating working condition data of a pipe section with the material flow direction as an outflow node;
when the node type of the preset node is a shunting node, firstly calculating working condition data of a pipe section with a material flow direction as an inflow node; then working condition data of a pipe section with a certain material flow direction as an outflow node are calculated; then working condition data of the preset node is calculated according to the two-fluid flow distribution rule; and then working condition data of the pipe section with the other material flow direction as the outflow node is calculated.
4. The hydrogen system optimization method according to claim 1,
the hydrogen supply data also comprises composition and/or raw material processing amount;
the hydrogen consumption data also comprises one of high-split discharged hydrogen flow, low-split gas flow, dry gas flow, composition, raw material processing amount and supplemented hydrogen composition and any combination thereof;
the operating condition data further comprises one of pressure, pressure drop, liquid phase quantity, gas phase quantity, liquid phase composition and gas phase composition, and any combination thereof.
5. A hydrogen system optimization method according to claim 1, characterized in that the reasonable operating condition data interval comprises:
flow rate, pressure drop, liquid phase quantity, gas phase quantity, liquid phase composition, and gas phase composition, and any combination thereof.
6. The hydrogen system optimization method according to claim 1, wherein the calculating of the working condition data of each preset pipe segment and preset node according to a preset rule by using the hydrogen supply data and the hydrogen consumption data as input comprises:
one of a flow velocity calculation model, a flow state judgment model, a pressure drop calculation model, a phase state judgment model and a thermodynamic equation and any combination thereof are adopted.
7. A hydrogen system optimizing device, comprising:
the sampling unit is used for respectively acquiring a preset number of hydrogen supply sampling values for each device in the hydrogen supply unit within a reasonable fluctuation interval of the hydrogen supply data, and acquiring a preset number of hydrogen consumption sampling values for each device in the hydrogen supply unit within a reasonable fluctuation interval of the hydrogen consumption data; the hydrogen supply data comprises a hydrogen supply flow rate; the hydrogen consumption data comprises a make-up hydrogen flow rate;
the calculation unit is used for traversing the combination modes of the hydrogen supply sampling values and the hydrogen consumption sampling values and calculating the working condition data of the pipe sections and the nodes in the hydrogen pipe network according to the hydrogen supply sampling values and the hydrogen consumption sampling values in each combination mode;
the excluding unit is used for determining the combination mode as a non-effective combination mode when the pipe section and the node working condition data calculated in a certain combination mode exceed the node or the reasonable interval of the pipe section;
a determining unit, configured to determine the combination mode from which the non-effective combination mode is removed as an effective combination mode;
the optimizing unit is used for respectively calculating the total value of the hydrogen supply flow of each device of the hydrogen supply unit under each effective combination mode and determining the optimal combination mode;
and the adjusting unit is used for adjusting the operating parameters of each device of the hydrogen supply unit according to the hydrogen supply sampling value corresponding to the optimal combination mode.
8. The hydrogen system optimization device according to claim 7, wherein the adjustment unit includes:
the conversion component is used for generating the operation parameter values of each device of the hydrogen supply unit according to the hydrogen supply sampling value corresponding to the optimal combination mode; the operating parameter value includes a hydrogen supply flow rate.
9. A memory comprising a set of instructions adapted to be executed by a processor to perform the steps of the method of optimizing a hydrogen system according to any one of claims 1 to 6.
10. A hydrogen system optimization apparatus comprising a bus, an input device, an output device, a processor, and a memory as claimed in claim 9;
the bus is used for connecting the memory, the input device, the output device and the processor;
the input device and the output device are used for realizing interaction with a user;
the processor is configured to execute a set of instructions in the memory.
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