373 results about "Enthalpy" patented technology

The invention discloses an internal and external flow coupling numerical simulation method, device and equipment and a storage medium, and relates to the technical field of numerical calculation, a flow state at an initial moment is determined to obtain an external field wall surface temperature, an external field multi-component chemical unbalance N-S equation is solved according to external field fluid boundary conditions, and the internal and external flow coupling numerical simulation result is obtained. External fluid boundary heat flow at the next moment and external field pressure at the next moment are obtained as coupling interface boundary conditions for internal field solution, internal flow of the porous sweating structure is solved through an enthalpy method equation set of TPMM and LTNE to obtain parameters at the coupling boundary at the next moment, and finally high-enthalpy unbalanced external field parameters at the termination moment are obtained. An N-S equation under a multi-component chemical unbalance hypothesis is adopted to solve supersonic outflow, a chemical reaction between an active cooling working medium and supersonic incoming flow under a supersonic condition is simulated, and wall surface heat flow and structural thermal response of the porous sweating cooling system are obtained.

The invention discloses a method for measuring Joule-Thomson coefficients of hydrocarbon fuel and cracking products thereof. The method comprises the following steps: pumping a target substance into an experimental tube, and heating from room temperature to target temperature; monitoring the temperature of the target substance at the inlet and outlet of the experiment tube, the wall surface temperature distribution of the experiment tube, the system pressure at two ends of the experiment tube, and current and voltage applied to two ends of the experiment tube in real time; according to the parameters monitored in real time, a function H (T) of the constant-pressure enthalpy value of the target substance changing along with the temperature is obtained on line based on a calorimetric model; when cooling to room temperature, changing the pressure and continuing the steps to obtain H (T) under different pressures; and based on H (T) under different pressures, establishing a Joule-Thomson coefficient calculation model containing a pressure-temperature-constant pressure enthalpy value function relationship, and calculating the change condition of the Joule-Thomson coefficient of the target substance along with the temperature. The invention further discloses a corresponding measuring device. According to the method and the device, accurate measurement of the Joule-Thomson coefficient is realized.

The invention relates to the technical field of industrial process automatic control, in particular to an industrial steam flow intelligent adjusting system. According to the method, the continuous change trend of the steam state is subjected to time sequence identification, dynamic classification of the steam state can be realized under multivariate combination, so that a steam state switching path is insighted in advance, an information coupling measurement mechanism between enthalpy change and flow is introduced on the basis, and calculation of mutual information between enthalpy and flow is combined, so that the dynamic classification of the steam state is realized. Abnormal sections with adjustment deviation in actual operation are accurately recognized, the adjustment possibility is further judged according to the deviation quantification result of the target flow and the actual output flow, controllable and uncontrollable sections are effectively divided, and the rollback value domain limitation of the uncontrollable sections is set. Therefore, in the subsequent target value adjusting process, target setting of the remaining sections can be reset in a targeted mode, the priority sequence is constructed according to the adjusting time sequence and the adjusting amplitude, and dynamic sorting output of the adjusting strategy is achieved.

The invention discloses a modeling method for single channels of a selective catalytic reduction reactor, a plurality of SCR single channels are arranged in the reactor, a main channel is surrounded by a catalytic coating, a plurality of pore channels are formed in the catalytic coating, ammonia molecules are adsorbed on active sites of a catalyst, and a selective catalytic reduction reaction is carried out on the active sites of the catalyst. The modeling method comprises the steps that S1, an SCR single-channel mathematical model is established, wherein the SCR single-channel mathematical model comprises a component balance equation, a momentum balance equation and an enthalpy balance equation of a gas phase substance in a main channel, a gas phase component balance equation, an enthalpy balance equation, an NH3 coverage balance equation, a component balance equation of a gas phase-coating interface and a gas enthalpy balance equation; s2, giving an initial condition and a boundary condition, limiting part of unknown parameters, and substituting the parameters into each equation to obtain a closed equation set; the model established by the invention can obtain the nitrogen oxide conversion rate, so that the emission reduction performance of the reactor is evaluated. And the influence of mass transfer limitation and mild aging degree of the catalyst is considered, so that the evaluation is more accurate.

The invention relates to the technical field of plate heat exchange, in particular to a calculation method of a plate heat exchanger, which comprises the following steps: S1, converting pressure and temperature data into pressure and enthalpy values, setting boundary conditions, determining a hot side and a cold side of the heat exchanger according to the boundary conditions, and setting non-boundary values by segmentally applying energy conservation to obtain geometric parameters and empirical constants; s2, obtaining physical property parameters of the fluid by using a two-dimensional grid linear interpolation method, and obtaining the physical property parameters of the fluid by taking the enthalpy value and the pressure as coordinates; and S3, determining the effective area required by each section, and obtaining a local heat transfer coefficient and a pressure drop when the volume requirement is met under the fluid physical property parameters and the channel flow velocity. According to the method, the problem that the calculation speed of a calculation program is low when the performance of the brazing sheet heat exchanger is evaluated under different working conditions is solved through unique grid division in the plate heat exchanger and rapid calling of fluid physical properties, the calculation error value is effectively reduced, an accurate check result is obtained within ten iteration steps, and the calculation cost is saved.

The invention discloses an enthalpy difference laboratory temperature and humidity control system based on artificial intelligence, relates to the technical field of temperature and humidity control, and solves the technical problem that in the prior art, whether the environment of a current enthalpy difference laboratory is qualified or not cannot be judged according to operation analysis of environment control equipment in the laboratory. Specifically, a regulation and control performance detection unit detects the regulation and control performance of an enthalpy difference laboratory, the refrigerating capacity of environmental control equipment in the enthalpy difference laboratory is divided into sensible heat refrigerating capacity and latent heat refrigerating capacity, a curve is constructed according to the quantity of each moment in an environmental control period, and a regulation and control performance judgment result is obtained through curve analysis. A corresponding type of signal is set according to a regulation and control performance judgment result and is sent to a temperature and humidity control center; the enthalpy value setting evaluation unit is used for evaluating the enthalpy value setting of the enthalpy difference laboratory, acquiring enthalpy difference quantity information and enthalpy difference duration information, and analyzing and comparing according to the information to deduce whether the current enthalpy value setting is efficient or not.

The invention provides a thermal power steam turbine output checking method and system based on data correction, and the method comprises the steps: obtaining a water vapor enthalpy value through calculation according to the measurement point data of a thermal power station steam turbine set, and obtaining an enthalpy value vector of the thermal power station steam turbine set through the water vapor enthalpy value, calculating by utilizing the enthalpy value vector and a flow vector constructed by the corresponding through-flow flow to obtain output data of the turboset; according to a preset uncertainty coefficient, the measuring point data of the thermal power station steam turbine set are adjusted by using a deviation correction technology to obtain calibration data, and a residual error between the measuring point data and the calibration data is calculated by using a preset redundancy balance equation through the calibration data; correcting output data of the turboset according to the residual error to obtain a checking result of the turboset; and completing the output checking of the thermal power steam turbine according to the checking result.

The invention discloses a phase change sweating cooling non-equilibrium flow heat transfer numerical simulation method which comprises the following steps: after initialization assignment, obtaining physical property parameters of a liquid phase and a gas phase according to a fluid temperature, and calculating a mixing density, a hybrid viscosity, a mixing enthalpy, a convection term coefficient and a diffusion term coefficient; boundary conditions are given to the cooling fluid continuity equation, the cooling fluid momentum equation, the cooling fluid energy equation and the porous framework energy equation; solving a cooling fluid continuity equation and a cooling fluid momentum equation; various items in a cooling fluid energy equation and a porous skeleton energy equation are divided into an unsteady state item, a convection item, a diffusion item and a source item, the four items are expressed by compiling a UDF function and then loaded into a UDS equation in FLUENT, new mixing speed, new mixing pressure intensity, new mixing enthalpy and new solid phase temperature are solved, and the optimal mixing speed, the optimal mixing enthalpy and the optimal solid phase temperature are obtained. The difference value between the initial value and the corresponding initial value in the iteration is judged, if the requirement is met, calculation can be ended, and if not, iteration is conducted again after the solid phase temperature and the fluid saturation are updated.

The invention discloses a thermal management control method for a hydraulic hybrid power system of a mining vehicle in order to solve the technical problem that multi-power-source coupling optimization and an energy control strategy are poor, and belongs to the technical field of underground vehicle thermal management. According to the method, data such as real-time temperature, pressure, methane concentration and hydraulic oil viscosity are collected through a sensor module; the reference temperature threshold value is dynamically adjusted according to the methane concentration to obtain the maximum allowable temperature, the opening degree of a flow valve of a cooling system is adjusted through a dynamic PID algorithm when the real-time temperature exceeds the limit, and PID parameters are adjusted in real time along with the viscosity of hydraulic oil; and after a data error is compensated by adopting a least square method, a specific enthalpy and a specific entropy of a key node are calculated by utilizing a ratio algorithm, a physical ratio is deduced, and an abnormal node is positioned. Through cooperative control of thermal management and hydraulic mixing, the energy efficiency and safety bottlenecks are overcome, the energy utilization efficiency is improved, and technical support is provided for low-carbon transportation of mines.

The invention provides a supercritical carbon dioxide compressor performance evaluation method which can be applied to the technical field of compressors. The method comprises the following steps: acquiring total enthalpy and theoretical sound velocity from a physical property database according to total temperature and total pressure under the condition that the compressor operates in an inlet working condition; according to the total temperature, the total pressure, the total enthalpy, the theoretical sound velocity and a given axial Mach number, determining an iterative sound velocity from a physical property database; under the condition that a first error between the iteration sound velocity and the theoretical sound velocity is larger than a first preset threshold value, the theoretical sound velocity is updated to the iteration sound velocity, the steps are executed repeatedly till the first error is smaller than the first preset threshold value, and the target sound velocity is obtained; based on the target sound velocity, determining mass flow and rotating speed; fluid simulation is conducted on the compressor through the mass flow and the rotating speed, and performance parameters are obtained; and the performance of the compressor is evaluated through the incidence relations corresponding to the multiple sets of different inlet working condition parameters.

The invention provides a self-adaptive operation strategy optimization method and system for a refrigeration system, and relates to the technical field of automatic control, and the method comprises the steps: obtaining temperature and humidity data and fluid boundary parameters, reconstructing a temperature and humidity distribution field through a physical constraint neural network, extracting enthalpy difference features, constructing a topological coupling network, and calculating and correcting a refrigeration load. And on the basis of energy consumption and enthalpy value uniformity, refrigeration resource distribution parameters are optimized, accurate regulation and control of the dynamic load area are achieved, the energy efficiency of the system is improved, the enthalpy value uniformity requirement of each area is met, and the environment change adapting capacity of the system is enhanced.

The invention discloses a related quantitative analysis method and system based on steam turbine regulating valve opening disturbance, and belongs to the technical field of generator set optimization operation. Sequentially deducing to obtain a first differential equation and a second differential equation based on the steam temperature change when the steam turbine regulates the valve opening disturbance; the function relation between the enthalpy value of the once-through boiler outlet working medium and the temperature and the pressure is established, and a quantitative analysis equation of the steam turbine adjusting valve opening disturbance to the once-through boiler outlet steam temperature is deduced; based on the proportional relation between the first-stage front steam pressure of the steam turbine and the front steam pressure of the adjusting steam valve and the load constant condition of the once-through boiler, a quantitative analysis equation of the opening disturbance of the adjusting steam valve of the steam turbine to the first-stage front steam pressure of the steam turbine is deduced. Through a reasonable simplified formula, the quantitative influence result of the opening degree change of the steam turbine adjusting valve on the outlet steam temperature of the once-through boiler and the first-stage front steam pressure of the steam turbine can be rapidly and accurately obtained, operation personnel can be assisted in optimizing operation, and then safe and economical operation of a generator set is guaranteed.

The invention relates to a multi-scale prediction method for the oxidative ablation behavior of a carbon / carbon porous heat-proof material, and belongs to the technical field of aerospace science, in particular to a multi-scale prediction model for the oxidative ablation behavior of the carbon / carbon porous heat-proof material. A chemical reaction standard enthalpy value and reaction activation energy are analyzed based on a gas-solid interface micro-model of a carbon / carbon porous heat-proof material, and then pore scale fluid mechanics calculation is performed in combination with a porous medium model; explaining an evolution mechanism between gas-solid interfaces by using a micro-scale and pore-scale simulation method, and predicting an ablation process surface evolution process; according to the invention, fluid flow, thermal reaction and heterogeneous chemical reaction in the porous medium in the ablation process can be coupled and simulated at the same time; according to the method, the action mechanism of the heterogeneous chemical reaction at the gas-solid interface in the oxidation ablation process of the carbon / carbon porous heat-proof material can be disclosed, and the distance change after ablation and the ablation surface roughness in the ablation process can be predicted more accurately.

The invention relates to the technical field of thermal signal early warning, and discloses a thermal signal analysis early warning method and system based on a knowledge graph, and the method comprises the following steps: S101, collecting thermal signal data; s102, acquiring an enthalpy value and a mass flow rate, and generating an energy conservation residual error; s103, evaluating a temperature change trend, generating a thermal inertia prediction residual error, evaluating a channel coupling degree to obtain a cross-channel coefficient, and determining a cross-channel coefficient residual error; s104, normalizing the energy conservation residual error, the thermal inertia prediction residual error and the cross-channel coefficient residual error respectively, and fusing to generate an abnormal score; and S105, mounting the energy conservation residual error, the thermal inertia prediction residual error, the cross-channel coefficient residual error and the abnormal score to a preset knowledge graph to generate a fault early warning triple. According to the invention, high-precision signal processing, multi-dimensional fault detection, intelligent reasoning and accurate early warning of the thermal system are realized.

The invention relates to the technical field of spraying control, and discloses a spraying process self-adaptive adjustment method and system based on temperature measurement, and the method comprises the steps: presetting multi-sensor parameters, calculating a dynamic weight, calibrating sensors, and solving the problems of real-time interference and cross-process sensitivity difference; acquiring environmental data of a target spraying process, generating a global temperature field thermodynamic diagram, associating the film thickness with an environmental interference label, and providing a three-dimensional reference; coating workpiece heat flux and empty workpiece heat flux are collected, net heat flux and real-time reaction enthalpy change are calculated, a three-dimensional curing degree model is constructed, and the real-time curing degree is calculated to reflect the coating film curing progress; based on real-time curing degree fusion temperature spatial-temporal characteristics and phase change characteristics, core characteristics are extracted, a digital twin model is established to preview a process adjustment effect, an optimal control vector is output by constructing a spray gun three-dimensional optimization function and an improved quantum genetic algorithm, a targeted actuator is triggered for regulation and control, and a coating thermodynamic parameter library is constructed. And updating model parameters to optimize the overall situation.

The invention discloses a thermal power generating unit coordination control data and mechanism hybrid modeling method and device, computer equipment and a computer readable storage medium, and relates to the technical field of thermal energy engineering and power system modeling and control. Establishing a high-precision dynamic mechanism model of the working medium flow and heat transfer process of the boiler-steam turbine system; then, constructing an error correction model fusing the long-short-term memory network, the convolutional neural network and residual connection; and finally, fusing the mechanism model and the error correction model through parallel computing to form a dynamic hybrid model with physical interpretability and high precision. Through the hybrid modeling strategy, the prediction accuracy of key parameters such as the main steam pressure, the separator outlet steam enthalpy value and the unit load in the wide load range, especially under the dry-state operation working condition is remarkably improved, and a reliable model basis is provided for designing an advanced unit coordination control system.

The invention provides a performance prediction method and device based on a refrigerating machine, electronic equipment and a storage medium, and relates to the technical field of refrigeration, and the method comprises the steps that the condensation saturation temperature, the evaporation saturation temperature and the compression exhaust temperature of a refrigerating system are collected in the running test operation process, so that the saturated liquid phase enthalpy and the saturated gas phase enthalpy are determined; according to the condensation saturation pressure calculated according to the condensation saturation temperature and the compression exhaust temperature, the overheat gas specific enthalpy is determined, system refrigeration energy efficiency prediction is conducted according to the saturated liquid specific enthalpy, the saturated gas specific enthalpy and the overheat gas specific enthalpy, and the target system refrigeration energy efficiency is obtained; and performing unit performance prediction on the target refrigerator by using the target refrigeration performance model, the target system refrigeration energy efficiency, the frequency converter efficiency, the motor efficiency and the bearing transmission efficiency. According to the method, the actual refrigerating performance calculation of the refrigerating machine unit from the refrigerating cycle theory can be realized, the problem of performance prediction deviation of the refrigerating machine is effectively solved, and the performance prediction effect of the refrigerating machine is improved.

The invention relates to the technical field of electric power equipment detection and fault diagnosis, and discloses a transformer fault degree evaluation method and system based on arc fault gas production content. An arc channel is divided into an edge temperature zone and a core temperature zone, and according to the reaction enthalpy change relation between arc energy and oil pyrolytic reaction, the gas production content of the arc channel is calculated; the equivalent pyrolysis temperature T of the thermal decomposition reaction of hydrocarbon in the oil in the arc marginal area is solved, the marginal equilibrium constant of the thermal decomposition reaction of the marginal area is further obtained, and the fault gas content of the marginal temperature area and the fault gas content of the core temperature area when the fault occurs are accurately obtained by combining the core equilibrium constant of the core temperature area. And therefore, the fault degree of the transformer can be accurately evaluated.

The invention discloses a design method and a preparation method of low-melting-point high-entropy liquid metal GaInSnBiZn, and belongs to the field of alloy research and development. The liquid metal alloy is formed by mixing five metal elements including Ga, In, Sn, Bi and Zn according to the equal atomic proportion, and aims at avoiding formation of intermetallic compounds and optimizing the microstructure through the high-entropy effect, and low melting point, high stability and good mechanical property of the alloy are achieved. The mixing enthalpy of the binary alloy and the formation enthalpy of the ternary alloy are calculated, thermodynamic analysis and phase diagram research are combined, the proportion of the five elements is determined, the high-entropy alloy is prepared through a vacuum arc melting method under the high vacuum condition, and the high purity and stability of the high-entropy alloy are ensured. The liquid alloy is low in melting point and high in stability, theoretical guidance and technical support are provided for design and preparation methods of novel liquid metal materials, some limitations in the prior art are overcome, and the liquid alloy has high practical application value.

The invention belongs to the field of thermal analysis, and particularly relates to a calibration method of a synchronous thermal analyzer, temperature calibration, enthalpy calibration and thermogravimetric calibration of the synchronous thermal analyzer are carried out by adopting a standard substance with known melting point and enthalpy data, and high precision of each calibration step is ensured, so that the accuracy of measured data of the synchronous thermal analyzer is improved. The calibration method is suitable for various standard substances, can be widely applied to different types of synchronous thermal analyzers, and has good applicability and universality. The calibration coefficient and the temperature deviation are automatically calculated through an instrument, the calibration process is simplified, the experiment efficiency is improved, and personal errors are reduced. The method is verified through multiple experiments and has good repeatability, and it is ensured that measurement results are consistent when different instruments in different batches are used.

The invention relates to a real-time measurement method for an enthalpy value in an ablation process of a thermal protection material in an electric arc wind tunnel test, is used for a ground test of an electric arc wind tunnel thermal protection system, and belongs to the research field of ground aerodynamic thermal tests of aircrafts. The non-equilibrium temperature (rotation, rotation and electron) and the concentration of atomic nitrogen and atomic oxygen of a stagnation point area of a stagnation point model of the heat-proof material are obtained, online measurement of the local center stagnation point enthalpy value of the heat-proof material is achieved, the whole-process real-time monitoring of the material ablation process is achieved, the enthalpy value simulation range of various types of arc wind tunnels such as tubular, segmented and laminated arc wind tunnels can be covered, and the performance of the heat-proof material is improved. The method has very wide applicability; and rapid and long-time measurement of the whole ablation process of the heat-proof material can be realized, the response frequency can be up to 100Hz, and the measurement period is greater than or equal to 1h.

The invention relates to a theoretical research method of an ultrafast laser ablation mechanism, which comprises the following steps of: creating a double-temperature model for solving the change of electron and lattice temperatures along with time by adopting a finite difference method; in order to further explain a removal mechanism of a macroscopic material, a fluid mechanics model is established, a solid-liquid interface is tracked by a thermal enthalpy-pore method, a liquid-gas interface is tracked by a level set method, and the influence of backflushing pressure, surface tension, gravity and a Margoney effect on a molten pool is considered; and solving a Navier-Stokes equation set and a level set equation to obtain a solid-liquid-gas three-phase fluid mechanics model. The lattice temperature obtained by the double-temperature model is used as a heat source to be input into the fluid dynamic model, and the process of molten pool flowing and metal steam eruption is obtained. According to the method, the whole femtosecond laser ablation process is simulated by using a simulation method. Compared with an experimental method, on one hand, the time and the cost are greatly saved, and on the other hand, the problem that the temperature change of the femtosecond scale cannot be accurately measured by the current characterization means is also avoided.

The invention belongs to the technical field of wind tunnel tests, and discloses a total temperature measuring device and method suitable for a high-enthalpy shock tunnel. A signal generator, a laser controller and a laser of the measuring device are sequentially connected through a cable, laser light emitted by the laser is reflected by a transmitting end reflector, penetrates through a shock wave boundary layer, and then enters a photoelectric detector through an optical filter, a receiving end reflector and a light beam diffusion negative lens in sequence; and the photoelectric detector is sequentially connected with a data acquisition system and a data analysis system through cables. The measuring method comprises the steps of building the measuring device; debugging a laser light path; performing a high-enthalpy shock tunnel test; and performing data analysis. According to the measuring device and method, the measuring device is arranged in a test section, airflow is stopped by using a semi-cylindrical model, the total temperature of a flow field is indirectly measured by measuring the temperature after shock wave at the front edge of a semi-cylinder by using the isentropic stagnation principle, the measuring error caused by high pressure is reduced, the measuring precision is improved, and the measuring device and method have engineering practical value.

The invention discloses a method for determining the feed water flow of an evaporator of a nuclear power station and a related device, and relates to the technical field of thermoelectric conversion, and the method comprises the steps: obtaining the steam flow of an outlet of the evaporator, the secondary loop pressure of the evaporator, and the feed water temperature and nuclear power of an inlet of a main water supply pipe; the specific enthalpy coefficient is determined by looking up a table according to the secondary loop pressure of the evaporator and the feed water temperature, and the specific enthalpy coefficient is the ratio of the steam specific enthalpy to the feed water specific enthalpy; the nuclear power is converted into theoretical steam flow, the theoretical steam flow is used for verifying the steam flow of an evaporator outlet, and if verification passes, the steam flow of the evaporator outlet is used as one of the inputs of the feed water flow soft measurement model; and inputting the specific enthalpy coefficient, the steam flow at the outlet of the evaporator and the secondary loop pressure of the evaporator into a water flow soft measurement model to obtain the theoretical feed water flow. According to the method, high-precision dynamic measurement and calculation of the water supply flow of the evaporator are realized based on the water supply flow soft measurement model.

The invention relates to the technical field of oxygen-enriched combustion safety and flammability limit prediction, and provides a flammability limit value prediction method and application, and the method comprises the steps: obtaining the initial parameters of a gas fuel in a mixed atmosphere of oxygen and carbon dioxide; simulating a combustion process by using an element reaction mechanism, and outputting a curve of component mole fractions changing along with time; the combustion enthalpy change rate under the target atmosphere and the virtual atmosphere is calculated based on the curve, and carbon dioxide in the virtual atmosphere is replaced with virtual gas which has the same thermophysical property but does not have chemical reactivity; respectively calculating combustion heat release, mixture heat absorption and heat radiation; and in combination with the enthalpy change rate and the energy balance equation, the combustible limit value is solved and determined through numerical iteration. By quantifying the chemical effect and thermophysical influence of carbon dioxide, the problem of insufficient precision caused by neglecting the participation of carbon dioxide in reaction and unique thermal property in the oxygen-enriched combustion environment in the existing model is solved, and the method is suitable for the safety design of a combustion system.

The invention relates to a simulation modeling method for a gas arc ablation process, which comprises the following steps of: cutting a layer of unit grids for analyzing PTFE (Polytetrafluoroethylene) steam and SF6 (Sulfur Hexafluoride) mixed fluid formed by ablation in a cavity of an arc ablation nozzle by clinging to the inner wall; an ablation enthalpy model is introduced to solve the ablation rate gamma C of PTFE of the unit area of the inner wall of the arc ablation nozzle, the normal speed vgas of ablation steam which enters an airflow field and only has a normal component perpendicular to the wall face of the nozzle is calculated, and the enthalpy hgas of unit mass ablation steam is calculated; and adding the material ablation rate, the normal velocity vgas of the ablation steam and the enthalpy hgas of the unit mass ablation steam into gas arc ablation process simulation.

The invention relates to the technical field of solid hydrogen storage alloys, and discloses a method and a system for predicting a hydrogen absorption and desorption curve of a solid solution hydrogen storage alloy and a readable medium. The prediction method comprises the following steps: acquiring basic data of a to-be-detected alloy; obtaining simulation conditions of hydrogen absorption / desorption, wherein the simulation conditions comprise a hydrogen composition step length and a reaction system temperature; then according to the basic data, thermodynamic property parameters of hydrogen absorption / desorption of the to-be-tested alloy under the simulation condition are calculated; calculating the balance pressure of the to-be-measured alloy in the hydrogen absorption / desorption process based on a Van Tough equation in combination with the thermodynamic property parameters; and finally, repeatedly executing the previous steps for multiple times, changing the temperature of the reaction system in the simulation condition according to needs each time to obtain multiple groups of hydrogen concentration and equilibrium pressure relation data at different temperatures, and forming a pressure-composition-temperature curve of hydrogen absorption / desorption of the to-be-detected alloy. According to the method, the hydrogen absorption PCT curve and the hydrogen absorption enthalpy change of the BCC solid solution alloy can be rapidly predicted, so that a theoretical basis is provided for design and optimization of hydrogen storage alloy.

The invention discloses a heat transfer composition for replacing R123, the heat transfer composition comprises 30-98 wt% of Z-1-chloro-3, 3, 3-trifluoropropene, 1-65 wt% of Z-1, 3, 3, 3-tetrafluoropropene and 1-5 wt% of n-butane, the evaporation enthalpy of the heat transfer composition under standard atmospheric pressure is greater than 250 KJ / kg, and the average relative deviation AAD of saturated vapor pressure of the heat transfer composition at any temperature within 15-145 DEG C is less than 50%. The heat transfer composition has the advantages of being excellent in environmental performance, good in safety performance, high in unit volume heating / refrigerating capacity, high in latent heat of vaporization, good in heat transfer performance, large in expansion work and the like.

The invention discloses a model predictive control-based joint simulation method for a gas-supplementing and enthalpy-increasing cascade steam heat pump, and belongs to the technical field of gas-supplementing and enthalpy-increasing cascade steam heat pumps. The method comprises the following steps: S1, establishing a dynamic model of each component of the gas-supplementing enthalpy-increasing cascade steam heat pump; s2, connecting all parts according to a unified interface to form a system overall dynamic model, and performing dynamic simulation; s3, the dynamic simulation data of the air-supplementing and enthalpy-increasing cascade type steam heat pump system is applied, and multi-output and multi-input state space model identification is carried out; s4, using the identified state space model as a prediction model, and developing a model prediction controller MPC; the behavior of the system in a period of time in the future is predicted, the optimal control input is solved through an optimization method, and real-time and accurate control over the system is achieved. According to the invention, when the system deals with external load change and working condition change, the operation safety of the system is maintained while rapid and accurate load tracking and temperature control are realized.

The invention discloses a compressed air system energy efficiency intelligent evaluation method based on environment compensation. The method comprises the following steps: firstly, acquiring operation performance parameters, air quality parameters and environment parameters, establishing thermophysical property mapping by using an enthalpy-humidity diagram, and forming a quality coupling characteristic data set; meanwhile, a theoretical energy efficiency reference surface and a thermodynamic constraint set are constructed based on an isentropic compression principle and a historical optimal sample. Then, a nonlinear machine learning model is trained, and a nonlinear mapping relation between environment parameter changes and performance and quality offsets is learned; the model converts operation parameters in a real-time non-standard environment into equivalent operation performance parameters under a standard environment condition. And during evaluation, mapping the equivalent operation parameters to a theoretical energy efficiency reference surface, and calculating a distance vector to obtain an evaluation result reflecting the energy efficiency deviation degree and the performance degradation degree of the system. According to the method, environmental interference is effectively eliminated, and the accuracy and comparability of energy efficiency evaluation of the compressed air system are remarkably improved.