Heat Source Power Research Articles

Complex architectural control of ice-templated collagen scaffolds using a predictive model

The architectural and physiomechanical properties of regenerative scaffolds have been shown to improve engineered tissue function at both a cellular and tissue level. The fabrication of regenerative three-dimensional scaffolds that precisely replicate the complex hierarchical structure of native tissue, however, remains a challenge. The aim of this work is therefore two-fold: i) demonstrate an innovative multidirectional freeze-casting system to afford precise architectural control of ice-templated collagen scaffolds; and ii) present a predictive simulation as an experimental design tool for bespoke scaffold architecture. We used embedded heat sources within the freeze-casting mold to manipulate the local thermal environment during solidification of ice-templated collagen scaffolds. The resultant scaffolds comprised complex and spatially varied lamellar orientations that correlated with the imposed thermal environment and could be readily controlled by varying the geometry and power of the heat sources. The complex macro-architecture did not interrupt the hierarchical features characteristic of ice-templated scaffolds, but pore orientation had a significant impact on the stiffness of resultant structures under compression. Furthermore, our finite element model (FEM) accurately predicted the thermal environment and illustrated the freezing front topography within the mold during solidification. The lamellar orientation of freeze-cast scaffolds was also predicted using thermal gradient vector direction immediately prior to phase change. In combination our FEM and bespoke freeze-casting system present an exciting opportunity for tailored architectural design of ice-templated regenerative scaffolds that mimic the complex hierarchical environment of the native extracellular matrix. Statement of significanceBiomimetic scaffold structure improves engineered tissue function, but the fabrication of three-dimensional scaffolds that precisely replicate the complex hierarchical structure of native tissue remains a challenge. Here, we leverage the robust relationship between thermal gradients and lamellar orientation of ice-templated collagen scaffolds to develop a multidirectional freeze-casting system with precise control of the thermal environment and consequently the complex lamellar structure of resultant scaffolds. Demonstrating the diversity of our approach, we identify heat source geometry and power as control parameters for complex lamellar orientations. We simultaneously present a finite element model (FEM) that describes the three-dimensional thermal environment during solidification and accurately predicts lamellar structure of resultant scaffolds. The model serves as a design tool for bespoke regenerative scaffolds.

AUTOMATED CALCULATIONS IN THE DEVELOPMENT OF ENERGY-EFFICIENT DESIGNS OF FURNACES FOR ALUMINUM SCRAP REMELTING

The analysis of operational thermal conditions of the furnaces for aluminum scrap remelting is given. It was established that it is necessary to choose refractory materials with aluminum oxide content more than 85 % and the thickness of the thermal insulation should ensure the temperature of the external surfaces not higher than 50 °C when designing the furnaces for lining. On the basis of relevant methods packages of application programs have been developed for design calculations of lining and thermal insulation considering thermal conductivity change of individual layers as a result of their complete or partial impregnation with molten aluminum; calculations of energy balances; the selection of external heating devices with electric or flame heating. The power of the external heat source, the amount of heat spent on heating the scrap to the melting temperature, melting and overheating the melt to the working temperature and heat loss have been taken into account in the energy balance. The heat balance equation is used for determination of the melting time for electrically heated furnaces or the power of burner devices at the desired melting time. In the design calculations, the necessary thicknesses of lining and heat-insulating materials are chosen for all elements of enclosure. With appropriate calculations in dialog mode, it is also possible to change materials and their thickness quickly in case of exceeding the allowable operating temperatures of these materials. Options of using electric tape or wire heaters made of nichrome or EI-626 steel were considered during external heating devices calculations. Flame heating can be implemented using gas burners or liquid fuel nozzles. Further variant calculations based on the developed methods and software made it possible to create a furnace design with a capacity of 600 kW with reduced energy and operating costs for the melting process. Bibl. 14, Fig. 1, Tab. 1.

Thermodynamic analysis and the recuperator’s effects on two cycle systems aiming for hypersonic vehicles

• Two S-CO 2 cycle systems integrated thermal protection and power generation for a hypersonic vehicle engine are developed. • Thermal performances of the two systems are evaluated and compared. • Characteristics of the recuperators in the two systems are investigated. • Effects of the recuperators on the two systems are studied. For potential applications of hypersonic vehicles, two cycle systems integrated engine cooling and power generation based on the closed Brayton cycle is analyzed and compared. The investigated two systems are named simple recuperated layout (SRL) and recompressing recuperated layout (RRL) respectively. Thermal performance of the two systems and the required mass flow rate of the working fluid at the given heat source power are explored. The characteristics of the recuperators at the maximum cycle efficiency and the effects of the recuperators on the cycle efficiency are analyzed in detail. The results show that the maximum cycle efficiency of the SRL and RRL are 38.80% and 45.24% respectively. At the given heat source power, the required mass flow rate of the SRL and RRL are 4.85 kg/s and 6.67 kg/s respectively. Compared to the SRL, the RRL has an absolute increment rate of 16.60% for the cycle efficiency and 37.53% for the required mass flow rate. At the given heat source power, heat transfer in the recuperators of the RRL is 726.81 kW higher than that of the SRL, which is beneficial to the improvement of the cycle efficiency. The effectiveness and the pressure drop of the recuperators have significant influence on the performance of both cycle systems. The cycle system performances are affected more by the pressure drop in the hot side of recuperators than that in the cold side. This study provides a reference for the design of recuperators in an onboard power cycle system and for the researches on engine cooling and power generation of hypersonic vehicles.

Thermal study of the natural air cooling using roll bond flat heat pipe as plate fin under multi-heat source condition

Conventional radiators with the solid metal fins are difficult to meet the 5G base stations with greatly increased cooling requirements. Therefore, a novel phase-change device, named roll-bond flat heat pipe (RBFHP), has emerged as an alternative fin with the merits of easy to fabricate into large surface but thin, low-cost, and high heat transfer coefficient. In this study, the RBFHPs were tested with multi-heat source under natural air-cooling condition, to reflect the practical application scenario. And the thermal performances were investigated and optimized in terms of the heat source distribution, filling ratio, inclination angle, and power distribution mode. The results show the thermal performance is highly relevant to the relative position between the liquid-vapor interface and the higher load heat source. It is improper for the RBFHP to function when the latter is above the former, on the contrary, when the latter is beneath the former, the phase change cycling in the RBFHP can be prompted and sustainable. The final optimized RBFHP was working in 30° inclination angle with 20% filling ratio, and the largest heat source was the bottom one among the 3 lower distributed heat sources. And its total thermal resistance and temperature rise can be reduced by 15.3% and 10 °C respectively, compared to an evenly heated aluminium plate at 48 W total heat load.

A deep learning method based on partition modeling for reconstructing temperature field

Physical field reconstruction is highly desirable for the measurement and control of engineering systems. The reconstruction of the temperature field from limited observation plays a crucial role in thermal management for electronic equipment. Deep learning has been employed in physical field reconstruction, whereas the accurate estimation for the regions with large gradients is still difficult. To solve the problem, we propose a novel deep learning method based on partition modeling to accurately reconstruct the temperature field of electronic equipment from limited observation. Firstly, the temperature field reconstruction (TFR) task of electronic equipment is modeled mathematically and transformed as an image-to-image regression problem. Then a partition modeling framework consisting of an adaptive UNet and a shallow multilayer perceptron (MLP) is developed to establish the mapping from the observation to the temperature field. The adaptive UNet is utilized to reconstruct the whole temperature field, while the MLP is designed to predict the patches with large temperature gradients. Numerical case studies employing finite element simulation data are conducted to demonstrate the accuracy of the proposed method. Furthermore, the generalization is evaluated by investigating cases under different heat source layouts, power intensities, and observation point locations. The maximum absolute errors of the reconstructed temperature field are less than 1 K under the partition modeling approach.

축열식 연소산화장치 구현을 통한 VOCs 산화처리 및 폐열 회수 기술 개발

The reduction of greenhouse gases and Carbon Neutral (Carbon Zero) due to global warming is agreed by all countries around the world. The increase in global average temperature to climate change is kept within 2°C compared to before industrialization and achieved 1.5°C in the long run. Korea has set a 37% reduction target (315 million tons) compared to the 2030 emission forecast (851 million tons) and is promoting various air pollution reduction technologies and R&D policies to reduce greenhouse gases and minimize the impact on climate change.
 Currently, there are VOCs that are directly emitted into the atmosphere or that cause greenhouse gases as simple power generation and heat sources. Aromatic hydrocarbons such as benzene are strong carcinogens that cause leukaemia, central nervous disorder, chromosomal abnormalities, and hydrochloride can produce photochemical oxides by destruction of the ozone layer, global warming, and chain reactions of volatile organic compounds, causing eye irritation, reduced visibility, and damage to plants and crops.
 VOCs reduction technology should reduce the amount of harmful substances in advance by controlling operating conditions and working conditions. Technologies that can effectively process VOCs throughput of 95% or more are heat storage combustion systems and heat storage catalyst combustion systems.
 This paper proposes a heat delivery system specification design and emission concentration measurement technology for high-efficiency waste heat recovery of 100 CMM RTO (Regenerative Thermal Oxidation) device to reduce air pollution in VOCs generating sites. For the application of the waste heat recovery system, a 100CMM heat storage combustion oxidation system (RTO) is designed, and the performance is evaluated by measuring the concentration of VOC (Volatile Organic Compound) emissions according to production process operating conditions.

Numerical Simulation of Rock Breaking by High-Temperature and High-Pressure Water under Thermal Driving

To solve the difficult problems in the field of unconventional oil and gas extraction and hard rock excavation in urban underground spaces, this paper proposes a rock-breaking technique with high-temperature and high-pressure water under thermally driven conditions and establishes a coupled thermal-fluid-solid model with COMSOL Multiphysics (COMSOL Co., Ltd. Shanghai, China). Different simulation groups are established by controlling variables to explore the effects of the surrounding rock load, heat source power, and Biot coefficient on the damage evolution during thermally driven rock breaking. To make the results relevant to practical engineering, the damage evolution results under the maximum normal stress criterion, maximum normal strain criterion, and Coulomb-Navier damage criterion are considered, and a comparative analysis is performed. The results of this study show that an increase in unilateral load and heat source power accelerates the damage evolution rate, while an increase in bilateral load and Biot coefficient has the opposite effect. The damage evolution rate controlled by the maximum normal stress criterion is the fastest under general conditions. Finally, the advantages in rock breaking provided by the established method are verified by a comparison of results from the proposed model and a conventional hydraulic fracturing model.

Prediction and Optimization of the Design and Process Parameters of a Hybrid DED Product Using Artificial Intelligence

Directed energy deposition (DED) is an additive manufacturing process used in manufacturing free form geometries, repair applications, coating and surface modification, and fabrication of functionally graded materials. It is a process in which focused thermal energy is used to fuse materials by melting. Thermal effects can cause distortions and defects on the parts during the DED process, therefore they should be evaluated and taken into account during the manufacturing of products. Melting pool control and DED bead geometries should be defined properly as well. In this work, an Artificial Neural Network model has been applied considering the DED process parameters in order to predict the geometrical patterns and create a local reinforced product as a hybrid manufacturing technology. Although lots of studies are available on topology optimization for manufacturing methods such as casting, extrusion, and powder bed fusion, topology optimization for the DED process is not widely taken into consideration to predict the design geometrical patterns. DOE RSM and ANN approaches were applied in this study to predict convenient dimensions, topology based geometrical patterns of local stiffeners and heat source power optimizing the energy, total mass, and peak force results of the hybrid part. A single bead track deposition is simulated in terms of validation of the numerical heat source model, and cross-sections of the beads are analysed. A cross-member structure is manufactured using the DED device and the structure is correlated under the three point bending physical conditions on test bench. It has been investigated that locally reinforced cross beam has much more energy absorption and peak force values than plain model. The results showed that the proposed NN-GA is a promising approach to generate the topology based geometrical patterns and process parameters which can be used to create a local reinforced product as hybrid manufacturing technologies.

Co-Production System Based on Lean Methane and Biogas for Power Generation in Coal Mines

The problem of low efficiency of coal mine methane utilization is caused by the concentration of methane of less than 10%, or a concentration that varies dramatically directly emitted into the atmosphere. This work deals with the concept of a co-production system that blends lean methane and biogas to produce electric energy. It is recommended to add the biogas generated by straws around the mines in a controlled manner to the lean methane flow to obtain the desired gas concentration in order to generate electricity. Potential electricity generation and reduced greenhouse gas emissions were also evaluated. The result shows that the co-production system can significantly improve the utilization efficiency of lean methane in coal mines; the average use of pure methane in three coal mines is 0.18, 1.12, and 5.32 million m3 every year, respectively, and the emission reduction effect of carbon dioxide (CO2) equivalent is, respectively, 3081, 18,796, and 89,050 tons. The electricity generated and the economic environmental benefits of the co-production system are remarkable, and it has economic feasibility and broad perspectives for popularization. It not only has the advantage of improving the utilization rate of methane and biomass and providing power supply and heat source for mines, but also has practical significance in terms of saving energy, reducing environmental pollution, adjusting the energy structure, and achieving the target of carbon emission peak and carbon neutrality.

COMSOL Modeling of Heat Transfer in SVE Process

Non aqueous phase liquid (NAPL) pollution exists in porous media such as soil. SVE technology can be used to remove this pollution in soil. However, few domestic and international studies have paid attention to the changes of soil temperature in the field, which we believe can be useful information to optimize the layout of heating wells. In this research we established partial differential equations of soil heat transfer using the COMSOL multi-field coupling tool to simulate the field distribution of the change in soil internal temperature in the process of SVE to obtain the change of effective heating area with time under certain initial heating conditions. At the same time, we used liquid ethylbenzene to represent NAPL pollutants, and designed a simulation of soil temperature field distribution under the movement of liquid ethylbenzene under external pressure. It was found that under the action of Darcy’s velocity field, the utilization efficiency of the SVE system for the heat source was significantly improved, that is, the temperature distribution of the soil was more uniform. However, the temperature of the heated area increased slowly because the extraction well took away the heat energy. The heat source power should be increased or prolonged to improve the effect of Darcy’s field. Through a coupled simulation, we obtained a variation relationship of the soil temperature field in 1800 min under the action of one extraction well and four heating wells. These data will provide the basis for our next step in designing an algorithm to optimize the distribution of heating wells.

Visualization research on influencing factors of flat heat pipes

Flat heat pipes can effectively spread a concentrated high power heat source in a small region into a larger heat dissipation area, which is widely used in the thermal management of electronic devices. In this paper, two different sintered copper powder wick structures are designed to study the effect of porous column height on the heat transfer performance. The results show that the best performance is achieved at the 30% filling ratio under the 15 ℃ cooling water with all the porous columns contacting with the condenser. The heat power is 312.7 W and the thermal resistance is 0.192 ℃/W. As the cooling water temperature increases, the evaporation rate increases, resulting in a decrease in the thermal resistance. But the decrease in temperature difference causes the decline in heat dissipation power. Through the visual observation, it is found that the porous column contacting with the condenser can not only play the role of support and liquid reflow pathway, but also serve as an effective evaporation area to improve the heat transfer performance. While the low porous column cannot transport the condensed liquid and is completely immersed by the liquid under the high filling ratio, which is difficult to promote evaporation rate. In order to improve the performance at air cooling situation, an integrated heat pipe combined the flat heat pipe and fin tubes is designed, which can achieve a heat power of 259.8 W and present excellent temperature uniformity. This research provides the guidelines to optimize the heat transfer performance of porous column wick structures.

Development of a bench-scale apparatus to assess thermal protective performance of garments under highly intensive heat-flux exposures

Thermal protective clothing protects emergency responders from fire hazards. The thermal protective performance of the multi-layer fabric is standardly evaluated at the average value of a 1–3-cal/(cm2s)-intensity range. Considering the magnitude of modern fire events, the range’s upper limit (3 cal/(cm2s)) was proposed to take into account a critical radiation condition and a bench-scale apparatus, capable of creating the critical experimental environment, was developed in this study. This instrument includes a vertical configuration heater with an active water-cooling part, a vertical orientation specimen-assembly with a measuring part, a movable specimen-holder and thermal shields operated by pneumatic pumps, an exhaust hood connected to a pan, a data acquisition system, heating-power and mechanical equipment controllers and a computer with in-house burn-injury analysis software. A preliminary test was conducted to determine a specimen-assembly position that both optimised the heat-source power, heater-capability and apparatus-sustainability, and subsequently validated the uniformity and consistency of irradiance on the test sample. To conduct repeatable measurements, an in-house program was used to operate the heater, specimen assembly and thermal shields semi-automatically, in a sequence. The software includes an algorithm that allows one to analyse heat transfers across human-skin layers and to assess the degree of burn injuries. This paper outlines a comprehensive process of creating an experimental environment for samples that need to be exposed to a critical thermal condition.

Development of a full-scale apparatus to assess thermal protective performance of garments under highly intensive heat flux exposures

This study discusses the development process of a full-scale test facility composed of a high-performance radiant heating system, a life-sized instrumented thermal manikin system with sensing assemblies, associated equipment and in-house software controlling the entire system. This test system was aimed to be used to examine the behaviour of emergency-responder garments and subsequently to find weaknesses of turnout gears at critical thermal conditions greater than a standard 84-kW/m2-intensity, thereby contributing to improving the survival chance of firefighters who could be requested to execute an emergency evacuation from an unexpected growth of modern fires. To impose a target 126-kW/m2-irradiance throughout the garment-dressed manikin’s exposed surface for a limited period of time (12 s) as uniformly, consistently, stably and safely as possible, several technical aspects were considered: the amounts of heat-source power and electric power-supply; areas of heating and receiving and their geometrical relationship; a practical percentage of the maximum heater-capability; efficiencies of electric power-supply and water-cooling; movable equipment; and safety equipment. Two analytical models were encoded using a finite difference method in the LabVIEW platform to determine a burn injury distribution throughout the manikin-shell in association with the measurement data from the test system. The heating system and software were validated in respect of the heating consistency, vertical intensity variation, intensity-rise rate and discrepancies between the existing and present models. It was proved that the heating system is capable of increasing its heat emission up to 126 kW/m2 within 1.5 s, maintaining the intensity-level with less than 9-kW/m2-change for 12 s, and distributing the intensity-level with less than 11-kW/m2-variation along the vertical direction, from 45-cm- to 155-cm-height. The development process can contribute to the ability to develop a large-scale test facility to test specimens under a critical thermal exposure condition for research purposes.

Numerical Prediction of Strength of Socket Welded Pipes Taking into Account Computer Simulated Welding Stresses and Deformations.

The paper presents a numerical model based on the finite element method (FEM) to predict deformations and residual stresses in socket welding of different diameter stainless steel pipes made of X5CrNi18-10 steel. The next part of the paper concerns the determination of strength properties of a welded joint in terms of a shear test. A thermo-elastic–plastic numerical model is developed using Abaqus FEA software in order to determine the thermal and mechanical phenomena of the welded joint. This approach requires the implementation of moveable heat source power intensity distribution based on circumferentially moving Goldak’s heat source model. This model is implemented in the additional DFLUX subroutine, written in Fortran programming language. The correctness of the assumed model of thermal phenomena is confirmed by examinations of the shape and size of the melted zone. The strength of the welded joint subjected to shear is verified by performing a compression test of welded pipes as well as computer simulations with validation of the computational model using the Dantec 3D image correlation system.

Topology Optimization and Material Selection of Cooling Fin Structure in Submarine Data Center

The optimization of fin heat dissipation structure has always been an interesting topic, and a good heat dissipation structure is conducive to the full function of electronic devices. In order to obtain the best heat dissipation structure, the COMSOL density penalty method and heat conduction model are adopted to study the topology optimization model of heat dissipation structure. On the basis of circular fins, the material types of fins are kept unchanged, and the optimized fins are obtained after topology optimization under various working conditions. The contact area and average temperature of the topological fin and circular fin are compared. The simulation results show that the topology fin has better heat dissipation performance when the heat source power and ambient temperature are similar. Compared with the circular fin profile, the contact length of the topological fin increases by 48%, and the average temperature is reduced by 14.7K. After obtaining the best heat dissipation structure, the entropy weight method is adopted to select the best heat dissipation material of heat dissipation fins and determine that the best heat dissipation material is lead.

Experimental study on heat transfer characteristics of composite thermosyphon radiator for CPU cooling

Abstract In order to meet the heat dissipation requirements of high-power CPUs and make data center servers more energy-efficient, this paper studies a composite thermosiphon radiator for 400WCPU. The cooling performance of the composite thermosiphon radiator and the degree of optimization compared with the ordinary heat pipes radiator are studied under different heat source power and different air volume conditions. The results show that the thermal resistance of the composite thermosiphon radiator is the lowest at 400W and it has little dependence on the air volume. Compared with the common heat pipe radiator, condenser has been greatly optimized, the evaporator needs to be further optimized. When the CPU power is 200W, the CPU core temperature is optimized by 6°C. It is estimated that when the CPU power is 400W, the CPU core temperature is slightly higher than the temperature spec.

Dynamic Characteristic Study of Supercritical CO2 Recompression Brayton Cycle System

The supercritical carbon dioxide (SCO2) Brayton cycle has been regarded as the main development direction of future nuclear power generation by more and more scholars, due to its high environmental efficiency and high thermoelectric conversion rate. However, due to fluctuations in the operation of the primary loop of the system with nuclear energy, parameters such as the power of the heat source and the mass flow of the working medium in the system will change, which will affect the dynamic performance and operation of the SCO2 Brayton cycle system. Therefore, it is necessary to study the dynamic response of the system performance under disturbance conditions, analyze the operating characteristics of the SCO2 Brayton cycle system. In this paper, a comprehensive dynamic model of SCO2 recompression Brayton cycle, which analyzes the response curves of critical parameters under the disturbance of heat source heating power and system mass flow rate, is accurately developed based on Simulink software. In order to verify the validity of the proposed model, the simulation results are compared with the experimental results conducted by Sandia Laboratory under the same conditions. The results show that the model has high accuracy, and can reflect the dynamic response of system performance under parameter perturbation. In this paper, the closed-loop simulation is innovatively performed to show the dynamic response to step-change in the heat source power and mass flow rate. And the thermal efficiency is about 31.85%, when the system operates stably at the design point of working condition. If a disturbance is applied to the system, the temperature change will be mainly concentrated near the heat source of the cycle, and the change near the precooler will be relatively small. The change of the heat source power will lead to a large monotonic variation of cycle efficiency. By contrast, an inflection point in cycle efficiency will be resulted in by changing the system mass flow rate. The results of this paper would provide good approaches for the design, control, and improvement of the SCO2 Brayton cycle.

Research of the Influence of Cutting Conditions on the Temperature Field during Turning

Numerical simulation of the temperature field and parameters of the turning process of workpieces made of 45 and 12Kh18N10T steels is performed. The front angle of the cutter, as well as the coefficients of chip friction on the front surface of the tool μ1, the flank surface on the workpiece μ2, and the coefficient of friction on the yield stress μ were selected as variable parameters. The degree of influence of the variable parameters on the tangential component of the cutting force, the friction force on the front and flank surfaces of the cutting tool, the power of heat sources, contact temperatures and the average temperature of the workpiece is estimated.

Design optimization of the solar heating system for office buildings based on life cycle cost in Qinghai-Tibet plateau of China

The Qinghai-Tibet Plateau is rich in solar energy resources (SER), and the operation conditions of office buildings are consistent with the daily fluctuations in solar radiation. Solar heating for office buildings on the plateau has great potential. To obtain the optimal capacity ratio of solar heating system (SHS) for office buildings in plateau area, an optimization model of SHS capacity matching was established. The minimum life cycle cost (LCC) was taken as the objective function, and collector area, tank volume and auxiliary heat source (AHS) power as the decision variables in the model. The Qinghai-Tibet plateau was divided into five typical regions, and optimization was carried out for each region. The results show that the system LCC optimized by the intermittent heating load is 12% lower than that calculated by the average intermittent heating load and 44% lower than that calculated by the average parameter method for Lhasa. From an economic perspective, the AHS is suitable for electric boilers or gas boilers in regions with rich or general SER and cold regions with abundant SER. The AHS is suitable for electric boilers, air source heat pumps, or gas boilers in severely cold regions with abundant SER.

Intelligent modeling method of energy hub based on directed multi-graph

An energy hub, consisting of a combination of electricity, heat power, cooling power, natural gas, and other energy sources, is considered a key component of the energy internet. It requires quick and accurate optimization and control as well as a standardized and programmable model. This study proposes an intelligent modelling method based on a directed multigraph. This method starts from an input-output model and then establishes a directed multigraph in which a vertex indicates energy and an edge indicates energy conversion equipment and its parameters. Then, an adjacency matrix is obtained by processing and simplifying the directed multigraph. This adjacency matrix is searched using an intelligent algorithm to obtain the coupling matrix model of the energy hub. A hydrodynamic laboratory consisting of electricity, natural gas, heating, and cooling energy is used as a case study to verify the reliability and accuracy of the modelling process and to provide standardized data for deep learning uses in the energy internet. The obtained results show that the proposed method can quickly and effectively establish the energy hub model. This method is also effective when an energy storage device is added to or removed from the energy hub.