Spraying fire evaluation method and system for hydrogen scene

Abstract

The invention provides a jet fire assessment method and system for a hydrogen scene, and the method comprises the steps: obtaining corresponding scene parameters according to the type of the hydrogen scene, and the hydrogen scene comprises a hydrogen refueling station, a station yard and a long-distance pipeline; determining failure probability data of the hydrogen scene by referring to a hydrogen scene jet fire evaluation database set according to the scene type and the scene parameters; based on the hydrogen leakage data, utilizing a hydrogen jet fire plume development model to calculate the plume development condition of the hydrogen scene; calculating heat radiation distribution data by using a hydrogen jet fire multi-point heat source model; in addition, calling a preset disaster-causing consequence model to calculate disaster-causing consequence data; integrating the failure probability of the hydrogen scene, the thermal radiation distribution data and the disaster-causing consequence data to form a hydrogen jet fire risk assessment result of the hydrogen scene; the method is suitable for hydrogen refueling station and long-distance pipeline scenes, provides a failure probability and consequence model for hydrogen, considers the influence of a leakage injection angle, considers disaster-causing death probability factors, and provides reliable technical support for hydrogen energy safety application.

Description

Technical Field

[0001] The present invention relates to the technical field of hydrogen risk assessment and prevention and control, and in particular to a jet fire assessment method and system for hydrogen-prone scenarios. Background Art

[0002] The development of hydrogen energy is an important means to achieve the goal of green energy development. However, hydrogen has a low density and a wide explosion limit. Once a leak occurs in hydrogen-related scenarios such as hydrogen refueling stations and pipeline stations and there is an ignition source, it is very easy to cause a jet fire, causing equipment damage, casualties, and a domino effect. Therefore, assessing the jet fire hazards in hydrogen-related scenarios is a necessary support for the safe development of hydrogen energy.

[0003] There are some analytical studies on the hazards of hydrogen leakage in the prior art, such as CN112989717A, which discloses a method and system for evaluating the thermal radiation of a fire accident in a hydrogen refueling station. The fire scene is predicted according to the type and level of the hydrogen refueling station, and the cause and type of the fire accident are analyzed according to the fire scene prediction results; then, a fire accident network model is established according to the fire type; the thermal radiation intensity of the corresponding position is simulated and calculated according to the fire accident network model, and the injury level distance is determined according to the thermal radiation intensity combined with the injury criterion table. CN111022934 A provides a method for evaluating the thermal radiation hazard of a gas pipeline leak jet fire, by determining the pipeline parameters of the gas pipeline and the environmental parameters of its location; determining the influence range corresponding to each preset hazard level according to the pipeline parameters and the environmental parameters, introducing the influence of pipeline parameters and environmental parameters on the thermal radiation range of the gas pipeline leak jet fire, and providing a basis for dividing the influence range of different hazard levels of the thermal radiation of the gas pipeline leak jet fire. CN111368445 A discloses a method and system for determining a safe distance based on natural gas thermal radiation, which comprises the following steps: determining the mass flow rate according to the combustible gas parameters; determining the equivalent fire source diameter and the combustion heat according to the mass flow rate; determining the jet flame height according to the equivalent fire source diameter; further determining the jet flame surface area; determining the surface radiation power according to the combustion heat; obtaining the distance from the observation point to the leakage point and the partial pressure of water in the local atmosphere; determining the maximum viewing angle factor according to the jet flame height and the distance from the observation point to the leakage point; determining the atmospheric transmittance according to the partial pressure of water in the local atmosphere; determining the thermal radiation at any position according to the atmospheric transmittance and the maximum viewing angle factor; and determining the thermal radiation safety design distance between major key instruments and equipment and pipelines according to the thermal radiation.

[0004] In summary, the existing technologies have the following deficiencies: (1) The existing patents only focus on the research of oil and gas pipelines, and fail to consider the characteristics of hydrogen to modify the failure probability and consequence model; in addition, the existing patents are only applicable to hydrogen refueling stations, and fail to consider comprehensive hydrogen scenarios, which limits the application scenarios; (2) The calculation process is complicated and the evaluation efficiency is low; (3) It is unable to objectively reflect the casualties caused by the risk of hydrogen leakage.

[0005] The information disclosed in the background technology section of the present invention is only intended to deepen the understanding of the general background technology of the present invention, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art known to those skilled in the art. Summary of the invention

[0006] To solve the above problems, the present invention provides a jet fire assessment method for hydrogen scenarios, covering the acquisition of hydrogen scenario parameters, the acquisition of hydrogen scenario failure probability data, the acquisition of hydrogen jet fire input parameters, the calculation of hydrogen jet fire plume development model, the calculation of hydrogen jet fire thermal radiation, the calculation of hydrogen jet fire disaster consequences and hydrogen jet fire disaster risk assessment. It considers hydrogen refueling stations, long-distance pipelines and other hydrogen scenarios and proposes a failure probability and consequence model for hydrogen. By correcting the hydrogen jet fire plume development model to consider the influence of the leakage injection angle, a hydrogen-containing jet fire disaster consequence model database is pre-set to calculate the probability and number of deaths caused by jet fires in hydrogen scenarios. The scheme of the present invention provides technical support for the safe application of hydrogen energy and provides a basis for the design of hydrogen scenarios. In a preferred embodiment, the method includes.

[0007] Scenario parameter acquisition steps: Obtain corresponding scenario parameters for different hydrogen scenarios, including hydrogen refueling station scenario, hydrogen station field scenario and long-distance pipeline scenario;

[0008] Failure probability acquisition step: determining failure probability data corresponding to the current hydrogen scenario by referring to a hydrogen jet fire assessment failure probability database in a preset hydrogen scenario jet fire assessment database according to the current hydrogen scenario type and corresponding scenario parameters;

[0009] Input parameter determination step: obtaining hydrogen leakage data of hydrogen-prone scenarios as hydrogen jet fire input parameters;

[0010] Plume development calculation step: calculating hydrogen jet fire plume development data of a hydrogen-exposed scenario using a hydrogen jet fire plume development model based on the hydrogen jet fire input parameters;

[0011] Thermal radiation distribution calculation steps: using the hydrogen jet fire multi-point heat source model to calculate the hydrogen jet fire thermal radiation distribution data, including the potential impact radius and thermal radiation distribution;

[0012] Disaster consequence analysis steps: calling the disaster consequence model of the preset hydrogen jet fire assessment database to calculate the hydrogen jet fire disaster consequence data;

[0013] Comprehensive assessment steps: Comprehensively consider the failure probability data, thermal radiation distribution data and disaster consequence data of hydrogen-prone scenarios to determine the hydrogen jet fire disaster risk assessment results of hydrogen-prone scenarios.

[0014] Preferably, in one embodiment, in the scene parameter acquisition step,

[0015] For hydrogen refueling stations or hydrogen-related scenarios, obtain leakage frequency, detection and isolation probability, ignition probability, and average annual number of users as scenario parameters;

[0016] For hydrogen scenarios in long-distance hydrogen pipelines, typical leakage apertures, leakage probability, and average annual number of users are obtained as scenario parameters.

[0017] Further, in one embodiment, in the failure probability acquisition step, failure probability data corresponding to the scenario parameter value is selected from a hydrogen jet fire assessment failure probability database of a hydrogen scenario jet fire assessment database according to the scenario type;

[0018] The hydrogen jet fire assessment failure probability database is pre-set in the hydrogen scenario jet fire assessment database, and the failure probability database includes the equipment leakage probability and calculation model corresponding to the hydrogen refueling station or station field, the typical leakage aperture and failure probability of the long-distance pipeline, the detection and isolation probability and the ignition probability.

[0019] In an optional embodiment, the leakage probability of the hydrogen refueling station or station equipment is calculated using the following formula:

[0020] f 设备泄漏 =f 其他设备 +f 加氢机泄漏

[0021] f 其他设备 =∑ i,k N 部件i ×f 泄漏i,k

[0022] f 加氢机泄漏 =f 加氢 ×P 加氢机泄漏

[0023] Where: f 设备泄漏 represents the leakage probability of hydrogen refueling station or station equipment; f 其他设备 represents the leakage probability of other equipment; f 加氢机泄漏 Indicates the leakage probability of the hydrogenation machine; N 部件i Indicates the quantity of each component in pieces; f 泄漏i,k represents the leakage frequency of component i when the leakage area is k; f 加氢 Indicates the annual frequency of hydrogenation machine leakage, in times / year; P 加氢机泄漏 Indicates the frequency of hydrogen refueling, in times / year.

[0024] Furthermore, in one embodiment, in the input parameter determination step, the hydrogen leakage data of the hydrogen scene includes temperature, pressure, leakage aperture, outlet density and gas density data of the hydrogen leakage point.

[0025] Preferably, in one embodiment, in the plume development calculation step, according to the conservation of entropy and enthalpy, the hydrogen jet fire plume development data is calculated according to the following formula:

[0026] s(T,P)=s0

[0027]

[0028] Wherein, S represents entropy, T represents temperature, P represents pressure, S0 represents initial entropy, h represents enthalpy, ho represents initial enthalpy, and a represents the calculated sound speed parameter.

[0029] Optionally, in one embodiment, in the plume development calculation step, the leakage aperture is equivalent to a leakage surface according to the virtual nozzle theory, and the virtual nozzle model is calculated based on the following formula:

[0030]

[0031]

[0032] ρ j =ρ(T0,P ambient )

[0033] Where v is velocity, P is equipment or pipeline pressure, A is leakage area, ρ is density, throat is leakage point, j is leakage outlet after virtual nozzle equivalent, T0 is stagnant gas temperature, and ambient is the surrounding environment of the site.

[0034] Furthermore, in one embodiment, in the plume development calculation step, the calculation starts from the leak point outlet and is solved using the Runge-Kutta method; the calculation ends when the flame length reaches the end point; the flame length L * The calculation formula is as follows:

[0035]

[0036]

[0037] L * =23,Fr f >5

[0038] in, ρ j is the density of the leak outlet, L vis is the visible flame length.

[0039] Furthermore, in one embodiment, in the heat radiation distribution calculation step, a multi-point heat source model is used to implement the calculation for the buoyancy-corrected curved flame; the heat radiation q of a certain point on the flame is defined according to the following formula:

[0040]

[0041] Where: τ is the radiation coefficient, S rad It is combustion that produces heat. is the flame morphology radiation coefficient.

[0042] Furthermore, in one embodiment, in the disaster consequence analysis step, one or more applicable hydrogen jet fire disaster consequence models are pre-set in the hydrogen scenario jet fire assessment database, including a nuclear explosion data probability model based on Hiroshima and Nagasaki, a modified Eisenberg model, a modified Tsao and Perry model, and a skin damage probability model determined based on pig skin ultraviolet light experiments.

[0043] Based on the application aspects of the method described in any one or more of the above embodiments, the present invention also provides a hydrogen jet fire assessment database, which is pre-constructed based on failure probability data corresponding to different scenario types and disaster consequence death probability models corresponding to different thermal metering scenarios, including a hydrogen jet fire assessment failure probability database and a hydrogen jet fire assessment disaster consequence model database.

[0044] Based on other aspects of the method described in any one or more of the above embodiments, the present invention further provides a storage medium storing program codes that can implement the method described in any one or more of the above embodiments.

[0045] On the other hand, based on the application of the method described in any one or more of the above embodiments, the present invention further provides a jet fire assessment system for hydrogen-containing scenarios, the system comprising:

[0046] A scenario type determination module is configured to obtain corresponding scenario parameters for different hydrogen scenario types, including hydrogen refueling station scenario, hydrogen station field scenario and long-distance pipeline scenario;

[0047] A failure probability acquisition module is configured to determine failure probability data corresponding to the current hydrogen scene by referring to a hydrogen jet fire assessment failure probability database in a preset hydrogen scene jet fire assessment database according to the current hydrogen scene type and corresponding scene parameters;

[0048] An input parameter determination module is configured to: obtain hydrogen leakage data of a hydrogen-prone scenario as a hydrogen jet fire input parameter;

[0049] A plume development calculation module configured to calculate the development of the hydrogen jet fire plume in a hydrogen-exposed scenario using a hydrogen jet fire plume development model based on the hydrogen jet fire input parameters;

[0050] A heat radiation distribution calculation module, which is configured to calculate heat radiation distribution data of hydrogen jet fire using a multi-point heat source model of hydrogen jet fire, including potential impact radius and heat radiation distribution;

[0051] A disaster consequence analysis module is configured to call a disaster consequence model of a preset hydrogen jet fire assessment database to calculate hydrogen jet fire disaster consequence data;

[0052] The comprehensive assessment module is configured to comprehensively determine the hydrogen jet fire disaster risk assessment results of the hydrogen scene based on the failure probability data, thermal radiation distribution data and disaster consequence data of the hydrogen scene.

[0053] Compared with the closest prior art, the present invention also has the following beneficial effects:

[0054] The present invention provides a jet fire assessment method and system for hydrogen-appearing scenarios. The method determines the type of hydrogen-appearing scenarios, including hydrogen refueling stations, station fields, and long-distance pipelines, by acquiring scenario parameters of the current hydrogen-appearing scenario. The method is more practical by considering hydrogen-appearing scenarios such as hydrogen refueling stations and long-distance pipelines.

[0055] According to the current scenario type and scenario parameters, refer to the hydrogen scenario jet fire assessment database to obtain the corresponding failure probability data; obtain hydrogen leakage data as input parameters; use the hydrogen jet fire plume development model to calculate the plume development of the hydrogen scenario based on the input parameters; use the hydrogen jet fire multi-point heat source model to calculate the thermal radiation distribution data, and call the preset disaster consequence model to calculate the hydrogen jet fire disaster consequence data; comprehensively form the hydrogen jet fire risk assessment results of the hydrogen scenario, the failure probability data for hydrogen, the death probability factor based on thermal metering is considered, the influencing factors and risk consequences of hydrogen jet fire in actual scenarios are fully reflected, the death probability and number of deaths caused by jet fire in hydrogen scenarios are calculated, and a comprehensive basis is provided for the design of hydrogen scenarios.

[0056] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0058] Figure 1 It is a flow chart of a method for evaluating a jet fire in a hydrogen-environment scenario provided by one embodiment of the present invention;

[0059] Figure 2 It is a schematic diagram of a jet fire assessment database for a hydrogen-presence scenario in a jet fire assessment method for a hydrogen-presence scenario provided in an embodiment of the present invention;

[0060] Figure 3 It is a schematic diagram of the structure of a jet fire assessment system for hydrogen-containing scenarios provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0061] The following will describe the implementation methods of the present invention in detail in conjunction with the accompanying drawings and embodiments, so that the implementers of the present invention can fully understand how the present invention applies technical means to solve technical problems and achieve the implementation process of technical effects and implement the present invention specifically according to the above implementation process. It should be noted that as long as there is no conflict, the various embodiments and various features of the embodiments in the present invention can be combined with each other, and the technical solutions formed are all within the protection scope of the present invention.

[0062] Although the flowcharts describe the operations as sequential processes, many of the operations may be performed in parallel, concurrently, or simultaneously. The order of the operations may be rearranged. A process may be terminated when its operations are completed, but may also have additional steps not included in the accompanying drawings. A process may correspond to a method, function, procedure, subroutine, subprogram, etc.

[0063] Computer devices include user devices and network devices. Among them, user devices or clients include but are not limited to computers, smart phones, PDAs, etc.; network devices include but are not limited to a single network server, a server group consisting of multiple network servers, or a cloud composed of a large number of computers or network servers based on cloud computing. Computer devices can be operated alone to implement the present invention, or they can be connected to the network and implement the present invention through interactive operations with other computer devices in the network. The network where the computer device is located includes but is not limited to the Internet, wide area network, metropolitan area network, local area network, VPN network, etc.

[0064] The terms "first", "second", etc. may be used herein to describe various units, but these units should not be limited by these terms, and these terms are used only to distinguish one unit from another unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items. When a unit is referred to as being "connected" or "coupled" to another unit, it can be directly connected or coupled to the other unit, or there can be intermediate units.

[0065] The terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments. Unless the context clearly indicates otherwise, the singular forms "one", "one" and "item" used herein are also intended to include plural numbers. It should also be understood that the terms "include" and / or "comprise" used herein specify the existence of stated features, integers, steps, operations, units and / or components, without excluding the existence or addition of one or more other features, integers, steps, operations, units, components and / or combinations thereof.

[0066] Hydrogen energy is a recognized clean energy source. As a low-carbon and zero-carbon energy source, it is emerging as an important means to achieve the goal of green energy development. However, hydrogen has a low density and a wide explosion limit. Once a leak occurs in hydrogen refueling stations, pipelines, stations, and other hydrogen-related scenes and there is an ignition source, it is very easy to cause a jet fire, causing equipment damage, casualties, and a domino effect. Therefore, evaluating the jet fire hazards in hydrogen-related scenes is a necessary support for the safe development of hydrogen energy.

[0067] There are some analytical studies on the hazards of hydrogen leakage in the prior art, such as CN112989717A discloses a method and system for evaluating the thermal radiation of a fire accident in a hydrogen refueling station, predicting the fire scene according to the type and level of the hydrogen refueling station, analyzing the cause of the fire accident and the type of fire according to the fire scene prediction results; then, according to the type of fire, establishing a network model of a fire accident; according to the network model of the fire accident, the thermal radiation intensity at different positions can be obtained by simulation calculation, and according to the determined thermal radiation intensity at different positions of the fire accident, the corresponding fire thermal radiation injury criterion table determines the distance of different injury levels corresponding to different fire accidents, and by analyzing the danger of the fire accident in the hydrogen refueling station, the fire accident in the hydrogen refueling station is simulated by the fire accident network model, providing data support for establishing the fire protection distance between the equipment of the hydrogen refueling station and effectively reducing the risk of fire accidents. CN111022934A provides a method for evaluating the thermal radiation hazard of a gas pipeline leak jet fire, comprising the following steps: determining the pipeline parameters of the gas pipeline and the environmental parameters of the location thereof; determining the influence range corresponding to each preset hazard degree according to the pipeline parameters and the environmental parameters, wherein the preset hazard degree is the thermal radiation hazard degree generated by the gas pipeline leak jet fire. By introducing pipeline parameters and environmental parameters, the influence of internal pressure, pipe diameter and wind speed on the thermal radiation range of the jet fire of gas pipeline leakage is considered, and a formula for the influence distance of the jet fire thermal radiation of the gas pipeline that depends on the changes of internal pressure, pipe diameter and wind speed is proposed. When the gas pipeline leaks the entire pipe diameter, a basis is provided for dividing the influence range of different degrees of harm of the jet fire thermal radiation of the gas pipeline leakage. CN111368445 A discloses a method and system for determining a safe distance based on natural gas thermal radiation, and the method for determining a safe distance comprises: obtaining combustible gas parameters; determining the mass flow rate according to the combustible gas parameters; determining the equivalent fire source diameter and combustion heat according to the mass flow rate; determining the jet flame height according to the equivalent fire source diameter; determining the jet flame surface area according to the jet flame height; determining the surface radiation power according to the combustion heat; obtaining the distance from the observation point to the leakage point and the water partial pressure in the local atmosphere; determining the maximum viewing angle factor according to the jet flame height and the distance from the observation point to the leakage point; determining the atmospheric transmittance according to the water partial pressure in the local atmosphere; determining the thermal radiation at any position according to the atmospheric transmittance and the maximum viewing angle factor; and determining the thermal radiation safety design distance between major key instruments and equipment and the pipeline according to the thermal radiation.

[0068] In summary, the existing technologies have the following deficiencies: (1) The existing patents only focus on the research of oil and gas pipelines, and fail to consider the characteristics of hydrogen to modify the failure probability and consequence model; in addition, the existing patents only apply to hydrogen refueling stations for hydrogen energy, and fail to consider other hydrogen-related scenarios such as hydrogen pipelines and stations; (2) The existing patents fail to consider the impact of the leakage injection angle on the consequences of jet fire; (3) Most of the existing patents only focus on safety distances, and do not consider the consequences of disasters related to casualties. Based on the existing research, it is impossible to clearly determine the death probability data based on heat metering.

[0069] In order to solve the above problems, the present invention provides a jet fire assessment method and system for hydrogen-related scenarios. The jet fire assessment method covers the acquisition of hydrogen-related scenario parameters, the acquisition of hydrogen-related scenario failure probability data, the acquisition of hydrogen jet fire input parameters, the calculation of hydrogen jet fire plume development model, the calculation of hydrogen jet fire thermal radiation, the calculation of hydrogen jet fire disaster consequences and hydrogen jet fire disaster risk assessment. It considers hydrogen-related scenarios such as hydrogen refueling stations and long-distance pipelines and proposes a failure probability and consequence model for hydrogen. By correcting the hydrogen jet fire plume development model to consider the influence of the leakage injection angle, a hydrogen-containing jet fire disaster consequence model database is pre-set to calculate the death probability and number of deaths caused by jet fire in hydrogen-related scenarios. The scheme of the present invention provides technical support for the safe application of hydrogen energy, provides a basis for the design of hydrogen-related scenarios, fills the disciplinary gap in fire risk assessment, and has economic and social value.

[0070] Next, the detailed process of the method of the embodiment of the present invention is described in detail based on the accompanying drawings. The steps shown in the flowchart of the accompanying drawings can be executed in a computer system including a set of computer executable instructions. Although the logical order of each step is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0071] Embodiment 1:

[0072] Figure 1 FIG. 1 shows a flow chart of a method for evaluating a jet fire in a hydrogen-environmental scenario provided in Embodiment 1 of the present invention, with reference to FIG. Figure 1 It can be seen that the method includes the following steps.

[0073] Steps for obtaining scenario parameters: Obtain corresponding scenario parameters for different types of hydrogen scenarios, including hydrogen refueling station scenarios, hydrogen station scenarios and long-distance pipeline scenarios.

[0074] Failure probability acquisition step: according to the current hydrogen scenario type and the corresponding scenario parameters, refer to the hydrogen jet fire assessment failure probability database in the preset hydrogen scenario jet fire assessment database to determine the failure probability data corresponding to the current hydrogen scenario.

[0075] Input parameter determination step: obtaining hydrogen leakage data of hydrogen-prone scenarios as hydrogen jet fire input parameters.

[0076] The plume development calculation step is to calculate the hydrogen jet fire plume development data of the hydrogen jet fire scenario based on the hydrogen jet fire input parameters using the hydrogen jet fire plume development model.

[0077] Thermal radiation distribution calculation steps: Use the hydrogen jet fire multi-point heat source model to calculate the thermal radiation distribution data of the hydrogen jet fire, including the potential impact radius and thermal radiation distribution.

[0078] Disaster consequence analysis steps: call the disaster consequence model of the preset hydrogen jet fire assessment database to calculate the hydrogen jet fire disaster consequence data.

[0079] Comprehensive assessment steps: Comprehensively consider the failure probability data, thermal radiation distribution data and disaster consequence data of hydrogen-prone scenarios to determine the hydrogen jet fire disaster risk assessment results of hydrogen-prone scenarios.

[0080] In a preferred embodiment, in the scene parameter acquisition step, typical leakage aperture, leakage probability, leakage frequency, detection and isolation probability, ignition probability, and average annual number of users data are acquired as scene parameters.

[0081] In actual application, in a specific embodiment, for hydrogen-related scenes such as hydrogen refueling stations and stations, scene data such as leakage frequency, detection and isolation probability, ignition probability, and average annual number of users are obtained;

[0082] For long-distance hydrogen pipelines, obtain scenario data on typical leakage apertures, leakage probability, and average annual number of users.

[0083] If there is no relevant data, the hydrogen scenario failure probability database in the hydrogen scenario jet fire assessment database is called to obtain relevant data.

[0084] The failure probability acquisition step is further performed: corresponding failure probability data is acquired from a preset hydrogen scene jet fire assessment database according to the type of the current hydrogen scene.

[0085] Preferably, in one embodiment, in the failure probability acquisition step, failure probability data corresponding to the scenario parameter value is selected from a hydrogen jet fire assessment failure probability database of a hydrogen scenario jet fire assessment database according to the scenario type.

[0086] The hydrogen jet fire assessment failure probability database is pre-set in the hydrogen scenario jet fire assessment database to set failure probability databases corresponding to different scenario types. The failure probability database includes equipment leakage probability and calculation method calculation models corresponding to hydrogen refueling stations or stations, typical leakage apertures and failure probabilities of long-distance pipelines, detection and isolation probabilities, and ignition probabilities.

[0087] In actual application, in a specific embodiment, if it is a hydrogen refueling station or station field scenario, the failure probability data obtained include: the leakage probability, detection and isolation probability and ignition probability of the equipment corresponding to the hydrogen refueling station or station field; if it is a hydrogen long-distance pipeline scenario, the failure probability data obtained include: the typical leakage aperture and failure probability, detection and isolation probability and ignition probability of the long-distance pipeline.

[0088] In a preferred embodiment, the method for calculating the leakage probability of a hydrogen refueling station or station equipment is:

[0089] f 设备泄漏 =f 其他设备 +f 加氢机泄漏 (1)

[0090] f 其他设备 =∑ i,k N 部件i ×f 泄漏i,k (2)

[0091] f 加氢机泄漏 =f 加氢 ×P 加氢机泄漏 (3)

[0092] Where: f 设备泄漏 represents the leakage probability of hydrogen refueling station or station equipment; f 其他设备 represents the leakage probability of other equipment; f 加氢机泄漏 Indicates the leakage probability of the hydrogenation machine; N 部件i Indicates the quantity of each component in pieces; f 泄漏i,k represents the leakage frequency of component i when the leakage area is k; f 加氢 Indicates the annual frequency of hydrogenation machine leakage, in times / year; P 加氢机泄漏 Indicates the frequency of hydrogen refueling, such as the number of times a hydrogen refueling machine refuels a vehicle in a year, with the unit being times / year.

[0093] Next, an input parameter determination step is performed to obtain hydrogen leakage data of a hydrogen-prone scenario as a hydrogen jet fire input parameter.

[0094] In a preferred embodiment, in the input parameter determination step, the hydrogen leakage data of the hydrogen scene includes temperature, pressure, leakage aperture, outlet density and gas density data of the hydrogen leakage point.

[0095] Furthermore, the plume development calculation step is performed, and the hydrogen jet fire plume development model is used to calculate the hydrogen jet fire plume development in the hydrogen scene, and the outlet parameters, flame morphology, etc. of the hydrogen jet fire are calculated.

[0096] In a preferred embodiment, according to the conservation of entropy and enthalpy, the hydrogen jet fire plume development calculation formula is used to calculate based on the input parameters obtained at the leak. During the actual calculation, the value of the speed of sound parameter a involved in the calculation may be greater than the local speed of sound first, and the calculation is repeated. The speed of sound parameter is slowly reduced to equal the local speed of sound, that is, until a is equal to the local speed of sound, and the calculation is completed. Specifically, in an optional embodiment, the hydrogen jet fire plume development calculation formula is as follows:

[0097] s(T,P)=s0 (4)

[0098]

[0099] Wherein, S represents entropy, T represents temperature, P represents pressure, S0 represents initial entropy, h represents enthalpy, ho represents initial enthalpy, and a represents the calculated sound speed parameter.

[0100] Considering that the pressure at the high-pressure hydrogen leakage aperture is greater than the atmospheric pressure, the leakage aperture is equivalent to a leakage surface according to the virtual nozzle theory. The diffusion phenomenon of this surface is consistent with the actual situation. The virtual nozzle model is calculated based on the following formula:

[0101]

[0102]

[0103] ρ j =ρ(T0,P ambient ) (8)

[0104] Where, v represents velocity, P represents equipment or pipeline pressure, A represents leakage area, and ρ represents density. Here, throat represents the leakage point, j represents the leakage outlet after the virtual nozzle is equivalent, T0 is the stagnant gas temperature, and ambient represents the surrounding environment of the site.

[0105] Based on Gaussian plume theory, the calculation method of the axial velocity and composition of hydrogen jet fire is as follows:

[0106]

[0107] Where: v represents the hydrogen jet velocity at r, r represents the plume radius; v cl represents the centerline velocity of the hydrogen jet fire; B represents the radius of the hydrogen jet fire plume.

[0108] A Cartesian coordinate system is established, and the angle between the hydrogen jet fire leakage direction and the horizontal direction is defined as θ. The distance from the leakage point along the hydrogen jet fire axis is S. The subscript ambient represents the atmospheric environment. The conservation equations of the jet fire in the x and y directions are:

[0109]

[0110]

[0111] Continuity equation:

[0112]

[0113] Conservation of momentum in the X direction:

[0114]

[0115] Conservation of momentum in the Y direction:

[0116]

[0117] The mixture composition equation is:

[0118]

[0119] Where E represents the entrainment of the hydrogen jet, and g represents the acceleration of gravity, 9.81 m / s 2 , f represents the volume ratio of a certain component, and V represents the volume of the mixed component.

[0120] The calculation starts from the leak point and is solved using the Runge-Kutta method. The calculation ends when the flame length reaches the end point. The dimensionless flame length L * The calculation formula is as follows:

[0121]

[0122]

[0123] L * =23,Fr f >5 (17b)

[0124] Here, d j represents the jet diameter; ρ j is the density of the leak outlet, L vis is the visible flame length; Fr f represents the flame Froude number.

[0125] The flame Froude number is further defined as:

[0126]

[0127] The buoyancy plume entrainment E is defined as:

[0128]

[0129]

[0130] In the formula, Ebuoy represents the entrainment caused by buoyancy; α buoy Indicates the entrainment parameter; E mom represents the entrainment caused by the outlet momentum; ρ ∞ represents the atmospheric density; here, α buoy =5.75×10 -4 .

[0131] Next, a heat radiation distribution calculation step is performed to calculate the heat radiation distribution data of the hydrogen jet fire, including the potential impact radius and the heat radiation distribution, based on the calculated plume shape and using the hydrogen jet fire multi-point heat source model;

[0132] In the heat radiation distribution calculation step, the multi-point heat source model is used to calculate the buoyancy-corrected curved flame. The heat radiation q of a point on the flame is defined as:

[0133]

[0134] Here, S rad Calculated by the following formula:

[0135]

[0136]

[0137]

[0138]

[0139] Where: X rad represents the hydrogen jet fire radiation fraction; Indicates the mass flow rate kg / s, which is calculated by the jet velocity, outlet gas density and leakage aperture; ΔH c Indicates the heat of combustion, which is 120MJ / kg for hydrogen; τ f Indicates flame residence time; a p represents the average Planck absorption coefficient, 0.23; T ad represents the adiabatic flame temperature, which is 1703K for hydrogen; ρ f Indicates flame density kg / m 3 ; W f Indicates the flame width m, W f =0.17L vis ; L vis represents the visible flame length, m, obtained by formula (17); f s Indicates the mass fraction of hydrogen in chemically equivalent combustion, which is 0.02852 for hydrogen; ρ j Indicates the gas density at the jet outlet kg / m 3 ;dj Indicates the jet diameter; u j represents the jet exit velocity; p amb Indicates atmospheric density, kg / m 3 ; W mix It represents the average molecular weight of hydrogen in the chemical equivalent combustion in air, which is 14.4 for hydrogen; R represents the universal gas constant, 8.314 J / (molK).

[0140] in:

[0141] w i =iw1,i<0.75N (27a)

[0142]

[0143] n=0.75N and 1≤n≤N,

[0144] Where: D and β are the distance and angle between the observation point and the radiation emission point; represents the flame morphology radiation coefficient, τ is the radiation coefficient, N represents the flame is divided into N parts during the calculation, i represents the i-th part of the N parts, and w i Indicates the weight coefficient, w1 is the weight coefficient of the first part of the flame, n is the intermediate parameter, usually 0.75N, S rad Indicates heat produced by combustion.

[0145] Further, a disaster consequence analysis step is performed, and a disaster consequence model of a preset hydrogen jet fire assessment database is called to calculate hydrogen jet fire disaster consequence data;

[0146] In practical applications, a disaster consequence model is pre-set in a hydrogen jet fire assessment database; in an optional embodiment, one or more applicable hydrogen jet fire disaster consequence models are set.

[0147] In an optional embodiment, the hydrogen scenario jet fire assessment database is preset to include a hydrogen scenario jet fire failure probability database and a hydrogen scenario jet fire disaster consequence model database; Figure 2 As shown in Table 1, the hydrogen scenario jet fire disaster consequence model database sets a hydrogen scenario jet fire disaster consequence model, including: a probability model based on Hiroshima and Nagasaki nuclear explosion data, a modified Eisenberg model, a modified Tsao and Perry model, and a skin damage probability model determined based on pig skin ultraviolet experiment, as shown in Table 1.

[0148] Table 1 Probability model for calculating the probability of death based on heat measurement

[0149]

[0150]

[0151] Since hydrogen jet fires are mainly caused by ultraviolet rays, the first probability model based on thermal measurement probability of death is usually used to calculate the disaster consequence data of hydrogen scenarios to obtain the probability of death of people in hydrogen scenarios.

[0152] Furthermore, a comprehensive assessment step is performed to calculate a risk assessment result of a hydrogen jet fire disaster in the hydrogen scenario by comprehensively considering the failure probability data, thermal radiation distribution data and disaster consequence data of the hydrogen scenario.

[0153] The conclusion of the hydrogen jet fire disaster risk assessment is obtained based on the average annual user scenario data, failure probability data, thermal radiation distribution data and disaster consequence data. Among them, the data on how many people use the current equipment or pipelines on average each year can more truly reflect the disaster risk assessment conclusion.

[0154] If the scenario data of the average number of users per year cannot be provided, the distribution of thermal radiation from hydrogen jets, the potential impact radius and the probability of death will be obtained.

[0155] The present invention forms a set of pure hydrogen pipeline high consequence area analysis methods, equipment and storage mechanism, which solves the problem that existing patents fail to combine the properties of hydrogen with the characteristics of pure hydrogen long-distance pipelines and cannot be applied to pure hydrogen long-distance pipelines. The present invention considers hydrogen-related scenarios such as hydrogen refueling stations and long-distance pipelines and proposes a failure probability and consequence model for hydrogen; by correcting the hydrogen jet fire plume development model to consider the influence of the leakage jet angle; it includes a hydrogen jet fire disaster consequence model database to calculate the probability and number of deaths caused by jet fires in hydrogen-related scenarios, filling the gap in the hydrogen energy risk assessment discipline and providing technical support for the safe development of the entire hydrogen energy industry chain.

[0156] The scheme of the present invention takes into account the characteristics of hydrogen and establishes a jet fire assessment method for hydrogen scenarios, including obtaining the failure probability of hydrogen scenarios, hydrogen jet fire input parameters, calculating the hydrogen jet fire plume development model, calculating the jet fire disaster consequences and evaluating the jet fire disaster risk; calling the hydrogen scenario jet fire assessment database to obtain the hydrogen scenario failure probability and jet fire disaster consequence model; through the hydrogen scenario jet fire assessment system, calculate the hydrogen jet fire plume, thermal radiation and disaster risk, and obtain the hydrogen scenario jet fire assessment result. The present invention provides technical support for the safe application of hydrogen energy and a basis for the design of hydrogen scenarios, and has economic and social value.

[0157] The present invention is further described below in conjunction with examples of implementation. The scope of the present invention is not limited by the examples, but is set forth in the claims.

[0158] Implementation Case 1:

[0159] A hydrogen refueling station has an average of 20 users per year, an equipment pressure of 35 MPa, and a pipeline inner diameter of 350 mm. The consequences of hydrogen injection fire need to be evaluated.

[0160] (1) Call the hydrogen scenario parameter acquisition module to store and process relevant scenario parameters, determine the scenario type, and clearly use the methods, databases, and systems related to the hydrogen refueling station.

[0161] (2) Calling the hydrogen scenario failure probability acquisition module to obtain the failure probability data of the selected hydrogen scenario, calling the hydrogen scenario jet fire assessment database to obtain the hydrogen station failure probability database, and obtaining f 设备泄漏 Specifically: leakage probability of typical leakage aperture 1 is 1.0E-1, leakage probability of typical leakage aperture 2 is 1.9E-2, leakage probability of typical leakage aperture 3 is 6.4E-3, leakage probability of typical leakage aperture 4 is 2E-4, leakage probability of typical leakage aperture 5 is 3E-5. Equipment failure probability is 0.005. Isolation probability is 0.9, and all hydrogen ignition probabilities are considered.

[0162] (3) Call the hydrogen jet fire input parameter module to store and process related parameters; leakage pressure 35MPa, maximum leakage aperture (i.e. typical leakage aperture 5) 350mm, hydrogen density 0.0899kg / m 3 .

[0163] (4) Calling the hydrogen jet fire plume development model to calculate the development of the hydrogen jet fire plume; calculating the development of the hydrogen jet fire plume to obtain the development of the hydrogen jet fire plume.

[0164] (5) Calling the hydrogen injection fire thermal radiation calculation module, calculating the thermal radiation value distribution, and obtaining the potential impact radius; calculating the hydrogen injection fire thermal radiation according to the hydrogen injection fire thermal radiation method. The potential impact radius is a factor value that needs to be paid attention to in the pipeline and can be used as thermal radiation distribution data.

[0165] (6) Calling the hydrogen jet fire disaster consequence calculation module, calculating the model in the hydrogen jet fire disaster consequence model database in the hydrogen jet fire assessment database and calculating the probability of death. This embodiment uses the first formula in Table 1 for calculation.

[0166] (7) Call the hydrogen jet fire disaster risk assessment module, combine the failure probability data in (2), the thermal radiation distribution in (5), and the probability and number of deaths in (6), and obtain the hydrogen jet fire disaster risk assessment result:

[0167] The annual death toll at this hydrogen refueling station is 1.130E-2, and the heat radiation distribution of hydrogen jet is:

[0168] When the thermal radiation is 1.58KW / m2, the distance is 1500m; when the thermal radiation is 4.73KW / m2, the distance to the radiation source (hereinafter referred to as distance) is 1198m; when the thermal radiation is 6.31KW / m2, the distance is 950m; when the thermal radiation is 12.5KW / m2, the distance is 796m; when the thermal radiation is 25KW / m2, the distance is 650m; when the thermal radiation is 37.5KW / m2, the distance is 564m.

[0169] Implementation Case 2:

[0170] The pressure of a long-distance hydrogen pipeline is 3MPa, the inner diameter of the pipeline is 325mm, and the annual inspection and other personnel are 10 people. The consequences of hydrogen injection fire need to be evaluated.

[0171] (1) Call the hydrogen scenario parameter acquisition module to store and process relevant scenario parameters, determine the scenario type and clearly use hydrogen pipeline related methods, databases and systems.

[0172] (2) calling the hydrogen scenario failure probability acquisition module to obtain the failure probability data of the selected hydrogen scenario; calling the hydrogen scenario jet fire assessment database to obtain the hydrogen pipeline failure probability database, and obtaining f 设备泄漏 .

[0173] (3) Call the hydrogen jet fire input parameter module to store and process related parameters; leakage pressure 3MPa, maximum leakage aperture 325mm, hydrogen density 0.0899kg / m 3 .

[0174] (4) Calling the hydrogen jet fire plume development model to calculate the development of the hydrogen jet fire plume; calculating the development of the hydrogen jet fire plume to obtain the development of the hydrogen jet fire plume.

[0175] (5) Calling the hydrogen jet fire thermal radiation calculation module to calculate the thermal radiation value distribution and obtain the potential impact radius; calculating the hydrogen jet fire thermal radiation according to the hydrogen jet fire thermal radiation method.

[0176] (6) Calling the hydrogen jet fire disaster consequence calculation module, calculating the model in the hydrogen jet fire disaster consequence model database in the hydrogen jet fire assessment database and calculating the probability of death. This embodiment uses the first formula in Table 1 for calculation.

[0177] (7) Call the hydrogen jet fire disaster risk assessment module, combine the failure probability data in (2), the thermal radiation distribution in (5), and the probability and number of deaths in (6), and obtain the hydrogen jet fire disaster risk assessment result:

[0178] The annual death toll of this hydrogen refueling station is 2.66E-4 people, the potential impact radius is 265m, and the heat radiation distribution of the hydrogen injection fire is: when the heat radiation is 1.58KW / m2, the distance is 484.73m; when the heat radiation is 4.73KW / m2, the distance is 297.71m; when the heat radiation is 6.31KW / m2, the distance is 242.37m; when the heat radiation is 12.5KW / m2, the distance is 194.66m; when the heat radiation is 25KW / m2, the distance is 194.66m; when the heat radiation is 37.5KW / m2, the distance is 175.57m.

[0179] For the above-mentioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the order of the actions described, because according to the present invention, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0180] It should be pointed out that in other embodiments of the present invention, the method can also obtain a new jet fire assessment method for hydrogen scenarios by combining one or several of the above embodiments, so as to achieve a comprehensive evaluation and preventive design optimization of hydrogen risk accidents in hydrogen scenarios.

[0181] In actual application, based on the method in any one or more of the above embodiments of the present invention, the present invention also provides a hydrogen jet fire assessment database, which is pre-constructed according to failure probability data corresponding to different scenario types and disaster consequence death probability models corresponding to different thermal metering scenarios, including a hydrogen jet fire assessment failure probability database and a hydrogen jet fire assessment disaster consequence model database.

[0182] The hydrogen jet fire assessment failure probability database is pre-set in the hydrogen scenario jet fire assessment database, and the failure probability database includes the leakage probability and calculation model of the equipment corresponding to the hydrogen refueling station or station field, the typical leakage aperture and failure probability of the long-distance pipeline, the detection and isolation probability and the ignition probability;

[0183] Specifically, in an optional embodiment, if it is a hydrogen refueling station or station field scenario, the failure probability data obtained includes: the equipment leakage probability, detection and isolation probability and ignition probability corresponding to the hydrogen refueling station or station field; in actual application, the equipment leakage probability in the hydrogen refueling station or station field scenario may involve various types of equipment, for example, including compressors, instruments, storage tanks, joints, filters, pipes, flanges, valves and hoses, etc.

[0184] If it is a long-distance hydrogen pipeline scenario, the failure probability data obtained include: typical leakage aperture and failure probability of long-distance pipelines, detection and isolation probability, and ignition probability;

[0185] Taking the long-distance hydrogen pipeline scenario as an example, the typical leakage aperture and failure probability (leakage probability) of the long-distance pipeline are shown in the following table:

[0186] Leakage hole diameter d(mm) Leakage probability P Very small hole leakage (<5) 0.55 Small hole leakage (5-20) 0.15 Middle hole leakage (20-80) 0.15 Large hole leakage (>80) 0.05 Fracture (≥D) 0.1

[0187] Among them, the leakage frequency F is:

[0188] F=l×f km / year ×P

[0189] Taking the hydrogen refueling station scenario as an example, the probability of random leakage of some equipment is shown in the following table:

[0190]

[0191] It should be noted that, based on the method in any one or more of the above embodiments of the present invention, the present invention also provides a storage medium, on which is stored a program code that can implement the method as described in any one or more of the above embodiments, and when the code is executed by the operating system, the jet fire assessment method for hydrogen scenarios as described above can be implemented.

[0192] Embodiment 2:

[0193] The method is described in detail in the embodiments disclosed in the present invention. The method of the present invention can be implemented by various devices or systems. Therefore, based on other aspects of the method described in any one or more embodiments, the present invention also provides a jet fire assessment system for hydrogen scenarios, which is used to execute the jet fire assessment method for hydrogen scenarios described in any one or more embodiments. Specific embodiments are given below for detailed description.

[0194] Specifically, Figure 3 FIG. 4 shows a schematic diagram of the structure of a jet fire assessment system for a hydrogen-environmental scenario provided in an embodiment of the present invention. Figure 3 As shown, the system includes:

[0195] A scenario parameter acquisition module, which is configured to acquire corresponding scenario parameters for different types of hydrogen scenarios, including hydrogen refueling station scenarios, hydrogen station field scenarios, and long-distance pipeline scenarios;

[0196] A failure probability acquisition module is configured to determine failure probability data corresponding to the current hydrogen scene by referring to a hydrogen jet fire assessment failure probability database in a preset hydrogen scene jet fire assessment database according to the current hydrogen scene type and corresponding scene parameters;

[0197] An input parameter determination module configured to obtain hydrogen leakage data of a hydrogen-prone scenario as a hydrogen jet fire input parameter;

[0198] A plume development calculation module configured to calculate hydrogen jet fire plume development data of a hydrogen-exposed scenario using a hydrogen jet fire plume development model based on the hydrogen jet fire input parameters;

[0199] A heat radiation distribution calculation module, which is configured to calculate heat radiation distribution data of hydrogen jet fire using a multi-point heat source model of hydrogen jet fire, including potential impact radius and heat radiation distribution;

[0200] A disaster consequence analysis module is configured to call a disaster consequence model of a preset hydrogen jet fire assessment database to calculate hydrogen jet fire disaster consequence data;

[0201] The comprehensive assessment module is configured to comprehensively determine the hydrogen jet fire disaster risk assessment results of the hydrogen scene based on the failure probability data, thermal radiation distribution data and disaster consequence data of the hydrogen scene.

[0202] Preferably, in one embodiment, the scenario parameter acquisition module is configured to: for a hydrogen refueling station or a hydrogen station scene, acquire leakage frequency, detection and isolation probability, ignition probability, and average annual number of users as scenario parameters;

[0203] For hydrogen scenarios in long-distance hydrogen pipelines, typical leakage apertures, leakage probability, and average annual number of users are obtained as scenario parameters.

[0204] Further, in one embodiment, the failure probability acquisition module is configured to select failure probability data corresponding to the scenario parameter value from a hydrogen jet fire assessment failure probability database of a hydrogen scenario jet fire assessment database according to the scenario type;

[0205] Among them, the hydrogen jet fire assessment failure probability database is pre-set in the hydrogen scenario jet fire assessment database, and the failure probability database includes the equipment leakage probability and calculation model corresponding to the hydrogen refueling station or station field, the typical leakage aperture and failure probability of long-distance pipelines, detection and isolation probability and ignition probability.

[0206] In an optional embodiment, the failure probability acquisition module is configured to calculate the leakage probability of the hydrogen refueling station or station equipment using the following formula:

[0207] f 设备泄漏 =f 其他设备 +f 加氢机泄漏

[0208] f 其他设备 =∑ i,k N 部件i ×f 泄漏i,k

[0209] f 加氢机泄漏 =f 加氢 ×P 加氢机泄漏

[0210] Where: f 设备泄漏 represents the leakage probability of hydrogen refueling station or station equipment; f 其他设备 represents the leakage probability of other equipment; f 加氢机泄漏 Indicates the leakage probability of the hydrogenation machine; N 部件i Indicates the quantity of each component in pieces; f 泄漏i,k represents the leakage frequency of component i when the leakage area is k; f 加氢 Indicates the annual frequency of hydrogenation machine leakage, in times / year; P 加氢机泄漏 Indicates the frequency of hydrogen refueling, in times / year.

[0211] Furthermore, the hydrogen leakage data acquired by the input parameter determination module for each hydrogen scenario includes temperature, pressure, leakage aperture, outlet density and gas density data at the hydrogen leakage point.

[0212] Preferably, in one embodiment, the plume development calculation module is configured to calculate the hydrogen jet fire plume development data according to the following formula based on entropy conservation and enthalpy conservation:

[0213] s(T,P)=s0

[0214]

[0215] Wherein, S represents entropy, T represents temperature, P represents pressure, S0 represents initial entropy, h represents enthalpy, ho represents initial enthalpy, and a represents the speed of sound parameter.

[0216] Furthermore, in one embodiment, the plume development calculation module equates the leakage aperture to a leakage surface according to the virtual nozzle theory, and calculates the virtual nozzle model based on the following formula:

[0217]

[0218]

[0219] ρ j =ρ(T0,P ambient )

[0220] Where, v represents velocity, P represents equipment or pipeline pressure, A represents leakage area, ρ represents density, throat represents leakage point, j represents virtual nozzle equivalent, T0 is stagnant gas temperature, and ambient represents the surrounding environment of the site.

[0221] In an optional embodiment, the plume development calculation module is configured to start calculation from the leak point outlet and use the Runge-Kutta method to solve; the calculation ends when the flame length reaches the end point; the flame length L * The calculation formula is as follows:

[0222]

[0223]

[0224] L * =23,Fr f >5

[0225] in, d j represents the jet diameter, ρ j is the density of the leak outlet, L vis is the visible flame length.

[0226] Preferably, in one embodiment, the heat radiation distribution calculation module uses a multi-point heat source model to perform calculations for the buoyancy-corrected curved flame; the heat radiation q of a certain point on the flame is defined according to the following formula:

[0227]

[0228] Where: τ is the radiation coefficient, S rad It is combustion that produces heat. is the flame morphology radiation coefficient.

[0229] Furthermore, in one embodiment, the disaster consequence analysis module is configured to pre-set one or more applicable hydrogen jet fire disaster consequence models in the hydrogen scenario jet fire assessment database, including a nuclear explosion data probability model based on Hiroshima and Nagasaki, a modified Eisenberg model, a modified Tsao and Perry model, and a skin damage probability model based on pig skin ultraviolet light experiment

[0230] In the jet fire assessment system for hydrogen-prone scenarios provided by the embodiment of the present invention, each module or unit structure can be operated independently or in combination according to actual parameter application requirements and model calculation requirements to achieve corresponding technical effects.

[0231] It should be understood that the embodiments disclosed in the present invention are not limited to the specific structures, processing steps or materials disclosed herein, but should be extended to equivalent substitutions of these features understood by ordinary technicians in the relevant field. It should also be understood that the terms used herein are only used for the purpose of describing specific embodiments and are not meant to be limiting.

[0232] The "one embodiment" mentioned in the specification means that a particular feature, structure or characteristic described in conjunction with the embodiment is included in at least one embodiment of the present invention. Therefore, the phrase "one embodiment" appearing in various places throughout the specification does not necessarily refer to the same embodiment.

[0233] Although the embodiments disclosed in the present invention are as above, the above contents are only embodiments adopted for facilitating the understanding of the present invention and are not intended to limit the present invention. Any technician in the technical field to which the present invention belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present invention, but the patent protection scope of the present invention shall still be subject to the scope defined in the attached claims.

Claims

1. A jet fire assessment method for hydrogen-prone scenarios, characterized in that: The method comprises: Scenario parameter acquisition steps: Obtain corresponding scenario parameters for different hydrogen scenarios, including hydrogen refueling station scenario, hydrogen station field scenario and long-distance pipeline scenario; Failure probability acquisition step: determining failure probability data corresponding to the current hydrogen scenario by referring to a hydrogen jet fire assessment failure probability database in a preset hydrogen scenario jet fire assessment database according to the current hydrogen scenario type and corresponding scenario parameters; Input parameter determination step: obtaining hydrogen leakage data of hydrogen-prone scenarios as hydrogen jet fire input parameters; Plume development calculation step: calculating hydrogen jet fire plume development data of a hydrogen-exposed scenario using a hydrogen jet fire plume development model based on the hydrogen jet fire input parameters; Thermal radiation distribution calculation steps: using the hydrogen jet fire multi-point heat source model to calculate the hydrogen jet fire thermal radiation distribution data, including the potential impact radius and thermal radiation distribution; Disaster consequence analysis steps: calling the disaster consequence model of the preset hydrogen jet fire assessment database to calculate the hydrogen jet fire disaster consequence data; Comprehensive assessment steps: Comprehensively consider the failure probability data, thermal radiation distribution data and disaster consequence data of hydrogen-prone scenarios to determine the hydrogen jet fire disaster risk assessment results of hydrogen-prone scenarios.

2. The method according to claim 1, characterized in that In the step of obtaining scene parameters, For hydrogen refueling stations or hydrogen-related scenarios, obtain leakage frequency, detection and isolation probability, ignition probability, and average annual number of users as scenario parameters; For hydrogen scenarios in long-distance hydrogen pipelines, typical leakage apertures, leakage probability, and average annual number of users are obtained as scenario parameters.

3. The method according to claim 1, characterized in that In the failure probability acquisition step, failure probability data corresponding to the scenario parameter value is selected from a hydrogen jet fire assessment failure probability database of a hydrogen scenario jet fire assessment database according to the scenario type; The hydrogen jet fire assessment failure probability database is pre-set in the hydrogen scenario jet fire assessment database, and the failure probability database includes the equipment leakage probability and calculation model corresponding to the hydrogen refueling station or station field, the typical leakage aperture and failure probability of the long-distance pipeline, the detection and isolation probability and the ignition probability.

4. The method according to claim 1, characterized in that: The leakage probability of hydrogen refueling station or station equipment is calculated using the following formula: f 设备泄漏 =f 其他设备 +f 加氢机泄漏 f 设备泄漏 =∑ i,k N 部件i ×f 泄漏i,k f 加氢机泄漏 =f 加氢 ×P 加氢机泄漏 Where: f 设备泄漏 represents the leakage probability of hydrogen refueling station or station equipment; f 其他设备 represents the leakage probability of other equipment; f 加氢机泄漏 Indicates the leakage probability of the hydrogenation machine; N 部件i Indicates the quantity of each component in pieces; f 泄漏i,k represents the leakage frequency of component i when the leakage area is k; f 加氢 Indicates the annual frequency of hydrogenation machine leakage, in times / year; P 加氢机泄漏 Indicates the frequency of hydrogen refueling, in times / year.

5. The method according to claim 1, characterized in that In the step of determining the input parameters, the hydrogen leakage data of the hydrogen scene includes the temperature, pressure, leakage aperture, outlet density and gas density data of the hydrogen leakage point.

6. The method according to claim 1, characterized in that In the plume development calculation step, based on the conservation of entropy and enthalpy, the hydrogen jet fire plume development data is calculated according to the following formula: s(T,P)=s0 Wherein, S represents entropy, T represents temperature, P represents pressure, S0 represents initial entropy, h represents enthalpy, ho represents initial enthalpy, and a represents the calculated sound speed parameter.

7. The method according to claim 1, characterized in that In the plume development calculation step, the leakage aperture is equivalent to a leakage surface according to the virtual nozzle theory, and the virtual nozzle model is calculated based on the following formula: r j =ρ(T0,P ambient ) Where v is velocity, P is equipment or pipeline pressure, A is leakage area, ρ is density, throat is leakage point, j is leakage outlet after virtual nozzle equivalent, T0 is stagnant gas temperature, and ambient is the surrounding environment of the site.

8. The method according to claim 1, characterized in that In the plume development calculation step, the calculation starts from the leak point outlet and is solved using the Runge-Kutta method. The calculation ends when the flame length reaches the end point. The dimensionless flame length L * The calculation formula is as follows: L * =23,Fr f >5 in, d j represents the jet diameter, ρ j represents the density of the leakage outlet, ρ ambient Indicates the surrounding environment density; L vis Indicates the visible flame length, Fr f represents the flame Froude number.

9. The method according to claim 1, characterized in that: In the heat radiation distribution calculation step, the multi-point heat source model is used to realize the calculation for the buoyancy-corrected curved flame; the heat radiation q of a certain point on the flame is defined as follows: Where: τ represents the radiation coefficient, S rad Indicates that combustion produces heat. Represents the flame morphology radiation coefficient.

10. The method according to claim 1, characterized in that In the disaster consequence analysis step, one or more applicable hydrogen jet fire disaster consequence models are set in advance in the hydrogen scenario jet fire assessment database, including the nuclear explosion data probability model based on Hiroshima and Nagasaki, the modified Eisenberg model, the modified Tsao and Perry model, and the skin damage probability model determined based on the pig skin ultraviolet experiment.

11. A hydrogen-based jet fire assessment database, characterized in that: The database is applied to the method described in any one of claims 1 to 10; The hydrogen jet fire assessment database is constructed in advance based on failure probability data corresponding to different scenario types and disaster consequence death probability models corresponding to different heat metering scenarios, including a hydrogen jet fire assessment failure probability database and a hydrogen jet fire assessment disaster consequence model database.

12. A storage medium, characterized in that: The storage medium stores program codes that can implement the method as claimed in any one of claims 1 to 10.

13. A jet fire assessment system for hydrogen scenarios, characterized in that: The system executes the method according to any one of claims 1 to 10, and the system comprises: A scenario type determination module is configured to obtain corresponding scenario parameters for different hydrogen scenario types, including hydrogen refueling station scenario, hydrogen station field scenario and long-distance pipeline scenario; A failure probability acquisition module is configured to determine failure probability data corresponding to the current hydrogen scene by referring to a hydrogen jet fire assessment failure probability database in a preset hydrogen scene jet fire assessment database according to the current hydrogen scene type and corresponding scene parameters; An input parameter determination module is configured to: obtain hydrogen leakage data of a hydrogen-prone scenario as a hydrogen jet fire input parameter; A plume development calculation module configured to calculate the development of the hydrogen jet fire plume in a hydrogen-exposed scenario using a hydrogen jet fire plume development model based on the hydrogen jet fire input parameters; A heat radiation distribution calculation module, which is configured to calculate heat radiation distribution data of hydrogen jet fire using a multi-point heat source model of hydrogen jet fire, including potential impact radius and heat radiation distribution; A disaster consequence analysis module is configured to call a disaster consequence model of a preset hydrogen jet fire assessment database to calculate hydrogen jet fire disaster consequence data; The comprehensive assessment module is configured to comprehensively determine the hydrogen jet fire disaster risk assessment results of the hydrogen scene based on the failure probability data, thermal radiation distribution data and disaster consequence data of the hydrogen scene.

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