Energy Equipment Research Articles

HYDRODYNAMIC MEANS OF HEAT EXCHANGE INTENSIFICATION IN CONSTANT CROSS-SECTION ROUND CHANNELS

The purpose of research is the analysis of innovative designs of hydrodynamic means of intensification of heat exchange in channels of constant cross-section of technological equipment and pipelines, intended for use in the thermal power, chemical, food and related industries. The study of the state of the issue and trends in the development of structural and technological design of hydrodynamic elements of pipes and tubular elements for the intensification of heat exchange are based on a critical analysis of scientific and technical sources of information and, first of all, patent information of the leading countries of the world. The classification of these means for intensification of heat exchange in equipment and pipelines of thermal energy, chemical, food and related industries is proposed. The most interesting designs of these elements proposed by scientists, designers and inventors of the leading countries of the world are considered. A critical assessment of most of the above constructions is provided, their advantages and disadvantages are discussed. Designs of means of intensification of heat exchange in channels are analyzed depending on the change in flow continuity, the degree of mobility of the working element, the nature of the effect on the flow over time, relative length, assembly/disassembly possibilities, the degree of curvature of the channel, material, level of assembly, the degree of rigidity, the degree of mobility of the working element, the possibility of changing the geometry of the working channel , the possibility of temperature regulation, as well as the degree of uniformity of the heat flow in the circular direction of the channel. Means according to the change of flow continuity, namely turbulizers and cavitators, were analyzed in more detail. It is shown that, despite the significant variety of structural and technological design of hydrodynamic means of heat exchange intensification in round channels of constant cross-section, the most demanded by the industry are technologically diverse removable turbulizers that can be replaced or completely removed from the channel if necessary. Less common are cavitators, because they are usually characterized by less versatility and manufacturability, as well as greater sensitivity to the flow rate of the transported flow and its physical properties. Bibl. 44, Fig. 19.

Probing the differences in CO2 adsorption/desorption behaviors of solid amine sorbents in fixed and fluidized beds

Circulating fluidized bed temperature swing adsorption (CFB-TSA) CO2 capture process using solid amine sorbents has become a widely recognized solution to reduce stationary sources CO2 emissions. The successful design and operation of the adsorber and desorber requires much information on the CO2 adsorption and desorption behaviors of the sorbents in fluidized bed reactors. However, among the existing studies, little attention has been paid to desorption performance, which is equally important as adsorption performance. And almost all of them were conducted in TGAs or fixed beds, the lack of research in fluidized beds making it difficult to guide the design of industrial fluidized bed reactors. In addition, the systematic comparison of the above-mentioned adsorption/desorption behaviors and bed hydrodynamics (e.g. pressure drops) in fixed and fluidized beds can help provide theoretical support for the optimization of adsorbers, desorbers and coolers, which has not been reported yet. Therefore, we for the first time investigated the CO2 adsorption/desorption behaviors as well as hydrodynamics in both fluidized and fixed beds using a solid amine sorbent in a temperature swing adsorption (TSA) experimental rig. The results show that the sorbent exhibits faster adsorption and desorption kinetics in fluidized beds than those in fixed beds, as reflected by the fitted parameters of the Avrami kinetic model and the change of bed temperature during adsorption and desorption tests. And the bed pressure drops in fluidized beds are also much lower than that in fixed beds, especially at high superficial gas velocities and high sorbent loadings. By further discussion, a fluidized bed can also achieve lower equipment investment and less sorbent loading compared to multiple fixed beds in parallel. This study demonstrates the advantages of fluidized beds over fixed beds in large-scale TSA units in view of higher reactor efficiency, lower energy consumption and equipment investment.

Tuning combustion and energy in hydroxylammonium nitrate (HAN)-based electrically controlled solid propellant

Solid propellants have been widely applied due to its high energy, rapid reaction, easy storage and convenient equipment. However, the further development of solid propellants has been hindered by the challenges associated with controlling their combustion process. In this research, we presented an electrically controlled solid propellant (ECSP), and its burning rate could be continuously adjusted with voltage. We investigated thermal decomposition behavior and gaseous products of ECSP using thermogravimetry–differential scanning calorimetry-mass spectrometry (TG-DSC-MS). The solid products were analyzed through energy dispersive spectroscopy (EDS) and X-ray photoelectron spectroscopy (XPS). Based on the thermal decomposition behavior, gaseous products, and solid products, it was found that the thermal decomposition process could be divided into two stages: decomposition of ammonium nitrate (AN) and interactions between hydroxylamine nitrate (HAN) and other substances. The electrochemical impedance spectroscopy (EIS) experiments revealed that the electrical conductivity of ECSP increased with the pressure. Significantly, the peak combustion pressure of propellant increased by the rise of voltage from 3.17 MPa (150 V) to 5 MPa (250 V) in closed bomb. In addition, electricity reinforced the burning rate and powder force of propellant. Additionally, the electricity simultaneously affects electric and thermal decomposition processes. Electricity is used to control the burning rate and the total energy produced by propellant combustion. The characteristics of controllable energy has the potential to achieve controllable range of weapons, providing a new direction for development of smart weapons.

Condition Assessment of Electrical Power Devices using Infrared Thermography: A Review

Departures from the stable operation of electrical equipment usually appear as changes in parameters such as vibrations, pressure, temperature, power, and flow. Excessive changes in these parameters will indicate significant damage, leading to total or partial breakdown of equipment. This paper reviews the use of infrared thermography (IRT) for the operating condition temperature monitoring of electrical equipment. Infrared thermography is a contactless method that is based on thermal radiation principles and used for determining the temperature distribution on the surface of objects by measuring the intensity of radiation emitted by the object. The basic principles underlying IRT are presented in this review, showing its pros and cons, the various IRT methods, processes involved in IRT image acquisition, intelligent techniques for IR image analysis, and factors that affect the accuracy of results, including technical, environmental, and procedural factors. Also presented is an overview of common applications of IRT condition monitoring to solar energy, medicine, civil infrastructure, and aerospace equipment. Common faults in electrical equipment, including those in transformers, circuit breakers, feeder pillars and arrestors, are discussed with illustrations from recent research studies. These studies have demonstrated the effectiveness of IRT in the predictive maintenance of electrical installations. Hence, the replication of the techniques reviewed in this work is recommended so as to reduce current costs incurred in maintaining and replacing damaged equipment, and the associated time losses.

Synthesis of Zinc Oxide Nanoparticles, Study of Structure, Properties and Applications in Medicine

Zinc oxide nanoparticles are of great interest for use in various fields including biomedicine, food industry, agriculture, etc. Research objectives: study the synthesis of zinc oxide nanoparticles, structure, properties and application in medicine in wound healing. For the first time, synthesis of zinc oxide nanoparticles performed by chemical precipitation from zinc citrate, which saves energy, temperature and cost expensive equipment. The synthesized zinc oxide nanoparticles have a cubic crystalline shape, ZnO nanoparticles size varies from 17 to 25.5 nm. The skin-irritating effect of the medicinal cosmetic gel based on zinc oxide and silver nanoparticles obtained by our method was not detected.

An novel oscillation suppression strategy for permanent magnetic synchronous generator based on grid-forming control

With the increase of permeability of renewable energy and power electronic equipment, the inertia and damping parameters of the direct-drive wind turbine based on grid-forming control have a large impact on the system stability, and the system oscillation will be triggered when the parameters are not set properly. In this paper, the problem is addressed by establishing the small-signal model of two permanent magnetic synchronous generators connected to the grid in detail, analyzing the influence of the active control parameters on the system stability through the root locus of the dominant characteristic root, and proposing the adaptive control of damping and inertia to suppress the system oscillations. Finally, a real-time simulation platform for grid-connected wind turbine systems was built, and the experimental results verify the correctness of the small-signal modelling for stability analysis of grid-forming wind turbines established in this paper.

ТЕРМО- І АЕРОМОДЕЛІ ЕНЕРГЕТИЧНОГО ОБЛАДНАННЯ ЖИТЛОВИХ КОМПЛЕКСІВ

During accidents or destruction of the infrastructure of residential complexes at low temperatures, it is necessary to restore the operation of heat supply systems in a short time. It is convenient to use gas tube boilers for this. But we need new solutions to the problems of increasing the power and energy efficiency of equipment and systems due to the reduction of resistances to the movement of liquids or gases, as well as the intensification of heat transfer. Numerous studies have shown that an increase in the heat transfer coefficient at the gas-metal wall interface by 2-5 times leads to an increase in energy consumption of boiler fans by 10 times or more. The article uses three research methods to improve the performance of boilers. Visual diagnostics of the movement of liquids and gases made it possible to identify signs of self-organization of the flow structure. Hydraulic studies in slot channels, where only the height h varied in the range h = 0.2-2.5 mm, confirmed that the distribution structure of the pulsation components of the dynamic part of the energy affects the increase or decrease in speed at a given initial pressure. The thermal experiment showed that the flow structure also affects the nature of the change in the heat transfer coefficient. For channel sizes where the pulsation components have positive values, the increase in the heat transfer coefficient is much more intense than for sizes where the pulsations have negative values. That is, visual studies of the flow structure and the correct choice of transverse channel sizes can solve the problem of increasing the flow up to 24% without additional energy costs, as well as eliminate the problem of uncertainty when solving the problem of intensifying heat transfer at the gas-metal wall boundary. Visual studies of the jet in a flooded space provide information for solving the problem of intensifying heat transfer. The use of turbulators in gas-tube boilers ensured an increase in boiler efficiency from к.1 = 0.84 to к.2 = 0.929. At the same time, the energy consumption for fan operation changed slightly. The use of visual diagnostics of the flow structure makes it possible to solve hydraulic and thermal problems when developing or improving energy equipment for housing complexes.

Integrated Demand Response for Micro-Energy Grid Accounting for Dispatchable Loads

Micro-energy networks are the smallest element of integrated energy systems, and tapping into the integrated demand response potential of micro-energy networks is conducive to improving energy use efficiency and promoting the development of new energy sources on a large scale. This paper proposes a day-ahead integrated demand response strategy for micro-energy grid that takes into account the dispatchable loads. Considering the gradient use of thermal energy, a typical micro-energy grid structure including electricity, gas, medium-grade heat, low-grade heat, and cold energy is constructed, a comprehensive energy equipment model is established, and the refined scheduling models of the dispatchable loads are given. On this basis, with the operating economy of the micro-energy grid as the optimization objective, the integrated demand response strategies of tariff-type and incentive-type are proposed. Through case study analysis, it is verified that the proposed strategy can optimize the energy consumption structure of the micro-energy grid under the guidance of time-of-use tariffs, reducing the operating costs. The proposed strategy fully exploits the demand response potential of the micro-energy grid through the dispatchable loads and the multi-energy complementarity of electricity, heat, and cold, realizes the comprehensive coordination and optimization of source-network-load-storage, provides a larger peak-regulating capacity, and exhibits practical applicability in engineering.

Effect of preparation method of pyrolysis liquid mixed with coal on its ignition and combustion characteristics

Relevance. The need to develop technological solutions to increase the competitiveness of pyrolysis processing of various wastes. Combustion of pyrolysis liquid in a mixture with coal is one of these solutions, which makes it possible to stabilize the properties of the obtained fuel and use in standard energy equipment. Aim. To determine the influence of the method of preparing a mixture of pyrolysis liquid and low-grade coal on its ignition and combustion characteristics, as well as on composition of the released gas-phase products, depending on the temperature of heating medium and concentration of the additive. Methods. Pyrolysis and oxidation characteristics were studied using thermogravimetric analysis, and formal kinetic constants were calculated using the Coates–Radfern method. Samples of mixed fuels were prepared by the methods of homogeneous mixing and surface wetting of pyrolysis liquid of rubber processing and low-grade coal. Ignition and combustion characteristics were determined using an experimental stand, and composition of gas-phase combustion products was determined using once-through gas analyzer. Results. The authors have determined the features of pyrolysis and oxidation of the pyrolysis liquid as well as the values of formal kinetics constants, indicating the physical nature of the factors that defining the rate of these processes. It was found that at 600 °C the ignition of the studied mixtures weakly depended on concentration of the additive, while at 700 and 800 °C the dependence was linear, and the differences between the samples prepared using different methods were insignificant. For samples obtained by the method of surface wetting, combustion of the additive occurred in the gas phase near the surface of the sample. For the samples obtained by the method of uniform mixing, it occurred predominantly in the bulk of the backfill. This led to more intense and complete coal combustion in these compositions due to more uniform releasing of heat and initiation of coal particles. The concentration curves of the NO, CO and CO2 release demonstrated, that behavior of the fuel mixture components was additive in terms of released gas-phase combustion products, as well as the absence of significant nonlinear effects over the entire studied range of temperatures and additive concentrations.

Uncovering origin of grain boundary resistance to irradiation damage in NiCoCr multi-principal element alloys

Multi-principal element alloys (MPEAs) demonstrate significant promise as structural materials for nuclear energy equipment owing to their exceptional mechanical properties and radiation-resistant performances. In these alloys, the grain boundary (GB) serves as a crucial microstructure that typically mitigates irradiation damage by absorbing the irradiation-induced defect. However, the micromechanisms governing the anti-irradiation performance of GBs in MPEAs remain unclear. In this study, we investigate the irradiation defect production during collision cascade in the model NiCoCr bicrystal system through atomic simulations, aiming to unveil the atomic-scale origin of GB to resist irradiation damage in MPEAs. The results reveal that GBs effectively serve as sinks for irradiation defects in NiCoCr. The sink efficiency depends on the GB energetic state, including GB excess energy and defect segregation energy, as well as the energetic difference between interstitial and vacancy segregation. Statistical analysis identifies a universally exponent function between the defect absorption rate at GB and GB energetic state. In NiCoCr, the GB-disorder-induced-entropy increase leads to a biased reduction in interstitial segregation energy, narrowing the gap between interstitial and vacancy segregation energies by approximately 11 % compared to Ni. This improvement enhances the overall resistance of GBs to irradiation damage. Additionally, preferential segregation of Ni interstitial atoms is notably enhanced in NiCoCr, contributing to a high defect absorption rate at GBs. This study provides new insights into the resistance of GBs to irradiation defects in MPEAs and suggests GB engineering as an effective strategy for developing advanced alloys with enhanced radiation tolerance.

Evolution of the structure and tribological behavior of the organic coatings under gamma-ray irradiation

More reliable and long-term irradiation stability is essential for lubrication protection materials that served in nuclear energy equipment. In this paper, three typical commercially organic bonded solid lubricating coatings were chosen to investigate the influence of gamma (γ)-ray irradiation on microstructure and tribological behaviors. The evolution of microstructure and the changes of tribological properties for these coatings after irradiation were comparatively studied in detail. The results revealed that the crystallinity of the molybdenum disulfide (MoS2) lubricating phase was improved and were partial oxidized in the coatings after γ-ray irradiation, resulting in the surface roughness of the coating with MoS2 as the solid lubricating phase decreased significantly. The polytetrafluoroethylene (PTFE) lubricating phase was degraded from the long chains structure to smaller molecules after γ-ray irradiation. The results of tribological properties of the three coatings after γ-ray irradiation indicated that, for polyamide-imide-based lubricating coatings, the friction coefficient is decreased and the wear rate is increased after irradiation. For phenolic epoxy-based lubricating coating, the cross-linking effect of γ-ray irradiation predominated to improve the wear resistance and prolong the wear life of the coating. But overall, the influence of irradiation on tribological properties of three polymer-based coatings could almost be neglected duo to the changes of the microstructure in nanoscale. This work provides path and direction for design and preparation of the lubricating coatings that served in a nuclear reactor.

Результаты лабораторно-полевых испытаний процесса глубокорыхления глубокорыхлителем РВН-3

Sunflower harvesting is the final stage in its cultivation; it is the most labor-intensive and responsible operation, as it requires a lot of labor and the availability of specialized equipment. Important factors influencing the quality indicators of sunflower harvesting are the timing of harvesting and the technical means used. The optimal time for sunflower harvesting occurs when the seed moisture content is 12-14%; at this humidity, as a rule, self-shedding of the seeds does not occur. Reducing direct losses of sunflower seeds behind a combine harvester largely depends on the harvesting equipment used. Currently, there are a large number of them, they have different designs, but not all of them meet agricultural requirements. The article presents the test results of sunflower harvesting devices PRP-8 and PRP-12. Keywords: HARVESTING, HARVEST, SUNFLOWER, HARVESTER, MOUNTED HARVESTING ADAPTERS, ENERGY EQUIPMENT, TECHNOLOGICAL PROCESS

Optimal power flow calculation method for regional integrated energy system based on double-layer optimization

In this paper, a two-layer optimization calculation method is proposed to improve the practical application efficiency of the integrated energy system and to improve the different problems of power flow calculation. Firstly, the power flow model is constructed and the optimization function is established based on indicators such as economy and environmental protection. The two-layer optimization method is proposed by combining the quadratic programming method and the particle swarm algorithm. Then, the obtained operating conditions of each energy equipment are used as the input of the power flow. The processing of each device and the energy flow of the power flow network are calculated and the effectiveness of the algorithm is verified by MATLAB power analysis.

Исследование уборки урожая подсолнечника современными энергосредствами с использованием навесных уборочных адаптеров ПРП-8 И ПРП-12

Sunflower harvesting is the final stage in its cultivation; it is the most labor-intensive and responsible operation, as it requires a lot of labor and the availability of specialized equipment. Important factors influencing the quality indicators of sunflower harvesting are the timing of harvesting and the technical means used. The optimal time for sunflower harvesting occurs when the seed moisture content is 12-14%; at this humidity, as a rule, self-shedding of the seeds does not occur. Reducing direct losses of sunflower seeds behind a combine harvester largely depends on the harvesting equipment used. Currently, there are a large number of them, they have different designs, but not all of them meet agricultural requirements. The article presents the test results of sunflower harvesting devices PRP-8 and PRP-12. Keywords: HARVESTING, HARVEST, SUNFLOWER, HARVESTER, MOUNTED HARVESTING ADAPTERS, ENERGY EQUIPMENT, TECHNOLOGICAL PROCESS

Technical and economical study of a Stand-alone Wind Energy System for Remote Rural Area Electrification in Algeria

The present work is the investigation of a specific SWES. This system is designed to provide enough power for domestic use that satisfies a single household’s demand and allows a certain level of autonomy. The whole work is based on simulation. Models are elaborated to simulate the power source (wind turbine), a storage battery, the electrical load and the relevant meteorological conditions, in addition to other items that are needed to represent the SWES satisfactorily. MATLAB/SIMULINK software is used for the whole system simulation. Focus is put onto the power source and battery. The load situated in various climatic zones of Algeria is represented as a power demand that needs be satisfied. Finally, the economic analysis has resulted in the calculation of the installed total cost, kWh cost, and the actualized total cost for the wind energy source. The simulation results indicate that the coverage provided by the wind/battery system depends on the wind turbine nominal power. It depends also from the local wind speed distribution As far as the economic results are concerned, it appears that the cost of the energy produced by the wind/battery system is very high (1.3-4$/kWh) compared to those corresponding to conventional installations (0.4$/kWh). This, however, is not to be considered as a negative determinant factor since the local authorities plan to manufacture renewable energy equipment locally and, by doing so, cancel the effects of subsidizing the local fossil fuels on the imported machines costs, which will in turn be favorably reflected on renewable energy costs.

Statistical Machine Learning Model for Distributed Energy Planning in Industrial Park

With the advancement of industrial modernization, industrial parks have become the main body of new energy production and consumption. However, due to the large demand for energy in industrial agglomeration, the way of energy utilization is changing to sustainable. The direct connection of distributed energy resources in industrial parks, including photovoltaic power generation systems, has an important impact on its planning and operation. Furthermore, weather scenarios can have an impact on distributed photovoltaic generation, and the uncertainty in photovoltaic power output will, in turn, affect the uncertainty in industrial park planning. Therefore, this paper aims to address the issues of inaccurate prediction of distributed electricity generation during the planning period and the non-uniform distribution of energy resources such as electricity, heating, and cooling. This is achieved through the application of statistical machine learning. The paper intends to incorporate the ideas of statistical machine learning into the model for industrial park distributed energy random opportunity-constrained planning, aiming to resolve the problems of non-uniform distribution of distributed energy sources within the park, along with uncertainty in their outputs and high overall investment costs. The model takes the planning, construction and operating costs of the industrial park as the objective function, uses the lost load cost to ensure the safety of the industrial park, and uses the Chebyshev inequality probability to limit the output characteristics of distributed energy equipment. In terms of operation, the planning period is subdivided into heating period, cooling period and transition period, and the balance of electricity, heat and cold is considered. Finally, an actual example of an industrial park is used to verify the effectiveness of this method. Experimental validation shows that this approach can ensure safety requirements in industrial parks during the heating season, cooling season, and transitional periods by flexibly adjusting the confidence threshold. Simultaneously, it delivers significant economic benefits.

Artificial Neural Network Applications for Energy Management in Buildings: Current Trends and Future Directions

ANNs have become a cornerstone in efficiently managing building energy management systems (BEMSs) as they offer advanced capabilities for prediction, control, and optimization. This paper offers a detailed review of recent, significant research in this domain, highlighting the use of ANNs in optimizing key energy systems, such as HVAC systems, domestic water heating (DHW) systems, lighting systems (LSs), and renewable energy sources (RESs), which have been integrated into the building environment. After illustrating the conceptual background of the most common ANN architectures for controlling BEMSs, the current work dives deep into relative research applications, thereby exhibiting their methodology and outcomes. By summarizing the numerous impactful applications during 2015–2023, this paper categorizes the predominant ANN-based techniques according to their methodological approach, specific energy equipment, and experimental setups. Grounded in the different perspectives that the integrated studies illustrate, the primary focus of this paper is to evaluate the overall status of ANN-driven control in building energy management, as well as to offer a deep understanding of the prevailing trends at the building level. Leveraging detailed graphical depictions and comparisons between different concepts, future directions, and fruitful conclusions are drawn, and the upcoming innovations of ANN-based control frameworks in BEMSs are highlighted.

Carbon emissions analysis of office building renovation: a case study in China’s hot summer and cold winter zone

Abstract Building renovations in climates characterized by a hot summer and cold winter (HSWC) pose significant challenges in managing carbon emissions due to increased energy demands and material use. Despite advances in sustainable design, the carbon footprint of renovation activities remains a critical concern, particularly regarding the balance between initial emissions from construction and long-term operational efficiency. This study addresses these pressing issues through analyzing the carbon emissions associated with a building complex renovation in an HSWC zone of China. The research examines both the construction stage, where material production and transportation contribute significantly to emissions, and the operational stage, where energy consumption and equipment degradation influence long-term carbon output. By evaluating the effectiveness of renovation strategies and integrating building-integrated photovoltaic systems, this study demonstrates a reduction in annual carbon emissions from 1176.28 tCO2 to 1007.25 tCO2, a reduction of approximately 14.4%. The findings showed that the renovation process would achieve a carbon payback period of 7.46 years and a 24.9%–37.8% reduction in carbon emission intensity. This work underscores the potential significant environmental benefits of innovative materials and efficient design, offering valuable insights for future low-carbon building renovation projects.

Modified Wood Fibers Spontaneously Harvest Electricity from Moisture.

With the rapid development of modern society, our demand for energy is increasing. And the extensive use of fossil energy has triggered a series of problems such as an energy crisis and environmental pollution. A moisture-enabled electric generator (MEG) is a new type of energy conversion method, which can directly convert the ubiquitous moisture in the air into electrical energy equipment. It has attracted great interest for its renewable and environmentally friendly qualities. At present, most MEGs still have low power density, strong dependence on high humidity, and high cost. Herein, we report the development of a high-efficiency MEG based on a lignocellulosic fiber frame with high-power-density, all-weather, and low-cost characteristics using a simple strategy that optimizes the charge transport channel and ion concentration difference. The MEG devices we manufactured can generate the open-circuit voltage of 0.73 V and the short-circuit current of 360 μA, and the voltage can still reach 0.6 V at less than 30% humidity. It is possible to drive commercial electronic devices such as light-emitting diodes, electronic displays, and electronic calculators by simply connecting several electric generators in series. Biomass-based moisture-enabled electric generation has a low cost, is easy to integrate on a large scale, and is green and pollution-free, providing clean energy for low-humidity or high-electricity-cost areas.

Optimal Energy Configuration of Integrated Energy Community Considering Carbon Emission

An integrated energy community with a distributed utilization of renewable energy and complementary electricity–gas–cold–heat integrated energy will play an important role in energy conservation and emission reduction. In addition, compared with traditional thermoelectric power equipment, solid oxide fuel cells have many advantages, such as a high energy utilization rate, good waste heat quality, and low carbon emissions. Therefore, the SOFC-based multi-energy and energy storage sharing operation model of an integrated energy community with an electricity–gas–cooling–heat integrated energy system is constructed, and a bi-objective optimal configuration model considering the carbon emission index is established. Considering the economic objective of the smallest annual total operating cost as the most important objective in optimizing the planning model, the ε-constraint method is used to transform the environmental objective function with the smallest annual total carbon emission into a constraint condition under the decision making of an economic single objective function, and then the planning model is linearized and solved by using the Big-M method and the McCormick relaxation method. By calculating and analyzing the energy allocation results in five scenarios, the effectiveness and rationality of the model built in this article are verified. At the same time, the calculation example analysis results show that as the ε value decreases, the energy configuration of the integrated energy community will shift from natural gas to clean energy. From this perspective, the energy equipment configuration and operating costs will increase. However, the heat storage system and power storage system sharing can effectively reduce the energy allocation capacity and costs.