Archive

  • Select all
    |
    Fundamental Research
  • Fundamental Research
    Study on Microstructure and Mechanical Properties of Heat Resistant Steel TP347H FG in Ultra-supercritical Unit After 50 000 Hours of Service
    FU Shuo, LU Jintao, HUANG Jinyang, XU Yaxin, DANG Yingying, LI Wenya
    2025, 45(4): 489-495. https://doi.org/10.19805/j.cnki.jcspe.2025.240040
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    To investigate the high-temperature service safety of TP347H FG pipe material, a study was conducted on the microstructure, corrosion products, and mechanical properties of TP347H FG pipe material exposed to a thermal environment of a 600 ℃ ultra-supercritical thermal power unit for 50 000 hours. A comprehensive analysis was conducted on the grain size of the inner and outer walls of the workpiece, the corrosion mechanism, and the tensile properties after service, using metallographic microscopy, X-ray diffraction, scanning electron microscopy, and energy-dispersive spectroscopy analysis. Results show that the surface of the service-exposed workpiece shows a reduction in the thickness of the grain refinement layer, compared to the as-received workpiece. Both the fire-facing side and the non-fire-facing side oxidation layers exhibit a double-layer structure, which effectively enhances the corrosion resistance of the material in high-temperature flue gas environment. Due to the precipitation of fine intragranular phases of both the fire-facing side and the non-fire-facing side, the yield limit is improved compared to the as-received pipe material. However, the precipitation phases weaken the role of the grain boundaries, resulting in a significant reduction in the elongation of the workpiece and the emergence of local brittle fracture.
    • Power Equipment and System
  • Power Equipment and System
    Performance Analysis and Optimization of Carbon Capture-equipped Power Station System Under Variable Operating Conditions
    YUAN Xin, LI Sarengaowa, LIU Zhan, CHEN Heng, XU Gang, WANG Xiuyan
    2025, 45(4): 496-504. https://doi.org/10.19805/j.cnki.jcspe.2025.240037
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    To obtain a reasonable peak regulation scheme for carbon capture power plants and study the economic and environmental benefits generated by carbon capture power plants participating in grid regulation, a 660 MW coal-fired power plant was retrofitted with carbon capture. Energy loss of each part of the power plant was analyzed to obtain the energy loss mechanism of the unit. Operations of the unit under different carbon capture rates were analyzed, and the optimized operation scheme of the carbon capture power plant was designed. Operation simulation was carried out in MATLAB for a carbon capture power plant in certain northwest region of China before and after adopting the optimized operation scheme to participate in grid regulation. Results show that the optimized operation scheme can improve the new energy acceptance capacity of the system and reduce the amount of wind and light abandonment of the system. The proportion of the output of wind turbines and photovoltaic turbines is increased by 4.82% and 1.62% separately, and the amount of wind and light abandonment of the system is reduced by 30.57%. The electricity cost of the system is reduced by 0.015 3 yuan/(kW·h), and the carbon emission is elevated by 94.37 g/(kW·h).
  • Power Equipment and System
    Research on Construction Method of Neural Network Model for Small Gas Turbine Under Variable Working Conditions Based on Mechanism Modification
    YE Yiyin, HAN Wei, LI Jichao, MA Wenjing, HAN Zepeng, SONG Xinyang
    2025, 45(4): 505-513. https://doi.org/10.19805/j.cnki.jcspe.2025.240030
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    The thermal performance of gas turbines under variable working conditions exhibits strong non-linear characteristics. Calculations based on physical models are time-consuming and have larger calculation errors, while data-driven methods depend heavily on the quantity of sample data and lack constraints from physical mechanisms during the calculation process. To overcome the shortcomings of both approaches, the constraints among the internal and external influencing parameters, power generation efficiency, exhaust temperature and exhaust flow rate under variable working conditions were extracted from the physical mechanism of the compression and expansion processes of small gas turbines. Combined with the basic framework of neural network, a neural network model for small gas turbines operated under variable working conditions was proposed based on mechanism modification. The results of specific calculations indicate that high-precision neural network model of gas turbines under variable working conditions can be established using known gas turbine component performance and some data samples. The relative error is less than 0.941% in the prediction of key parameters by the improved model. The average relative error of prediction is 0.583%, which is 70.122% of the prediction error of the purely data-driven neural network using the same samples, and 14.916% of the calculation error of the method based on the physical model.
  • Power Equipment and System
    Characteristics of Circumferential Total Pressure Distortion in a Two-stage Low-speed Axial Compressor
    CHENG Wentao, LIU Yongwen
    2025, 45(4): 514-521. https://doi.org/10.19805/j.cnki.jcspe.2025.240023
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    Axial flow compressors always face complex inlet distortion conditions during actual operation, among which circumferential total pressure distortion can significantly degrade the performance and aerodynamic stability. To address this issue, a two-stage low-speed axial flow compressor with inlet guide vanes was used as the research object. A distortion baffle was used to create total pressure distortion according to the domestic standards for total pressure distortion tests of axial flow compressors. The impact of total pressure distortion on compressor performance was investigated through experiments and numerical simulations. A method using Fourier analysis was proposed to quantitatively describe the circumferential distortion characteristics, since the circumferential pressure distribution within the compressor was affected by blade disturbances. The development of circumferential total pressure distortion along the axial direction within the compressor was analyzed, including the intensity, phase, extent, and radial position of the distortion. Results show that the intensity of distortion decreases significantly after passing through each stage of the blade under conditions far from stall, while no noticeable decrease is observed under near-stall conditions. The distortion zone deflects a certain angle along the rotation direction after passing through the two stages of the rotor blades. The closer it is to the downstream, the closer the maximum distortion zone is to the blade tip. Under near-stall condition, the maximum distortion zone appears at the blade tip, and serious unstable flow phenomena, such as tip leakage flow and secondary flow, is observed at the first-stage blade tip, which exacerbates the degree of distortion.
  • Power Equipment and System
    Study on Modeling Experiment and Numerical Simulation of Gas Fuel Control Valve
    CHEN Liangqi, WANG Nan, LOU Juwei, ZHANG Jiageng, WANG Jiangfeng, DAI Yiping
    2025, 45(4): 522-527. https://doi.org/10.19805/j.cnki.jcspe.2025.240029
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    As the key component of gas turbine for fuel flow control, gas fuel control valve directly affects the stability and safety of gas turbine operation. Low-pressure air was used to replace gas, and the gas fuel control valve was modeled and tested. The accuracy of the simulation calculation was verified by comparing the results. The numerical simulation and flow loss analysis were conducted on the prototype valve. Results show that based on premise of geometric similarity, the same pressure ratio and Mach numbers, and the Reynolds number in the self-modeling area, the modeling experiment can well reflect the flow and loss characteristics of the prototype valve. The root mean square error of mass flow between the simulated value and the experimental value is 3.26%. As the opening degree of valve increases, the shock wave generated by the valve expansion section can reduce the pressure loss before and after the valve. As the pressure ratio of the gas fuel control valve decreases, the high-speed area of the valve throat gradually expands and the flow rate slowly decreases.
    • New Energy Resources and Energy Storage
  • New Energy Resources and Energy Storage
    Research on the Design and Mechanical Performances of Wind Turbine Tower Based on Keel-like Bionic Structure
    TANG Hongming, YAN Yangtian, YUE Minnan, MIAO Weipao, LI Chun
    2025, 45(4): 528-536. https://doi.org/10.19805/j.cnki.jcspe.2025.240022
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    In order to improve the dynamic response characteristics of offshore wind turbines under wind and wave loads, a new type of bionic keel-like inner ribbed tower was proposed. The dynamic response and buckling characteristics of the tower were simulated with a finite element approach considering turbulent wind, wave loads, and nonlinear soil-structure coupling. Results show that under the action of wind and wave load, compared with the traditional tower, the displacement of the top of the bionic tower is smaller, which can effectively suppress the influence of wind and wave load, and the stress distribution is reasonable. The high-stiffness inner rib structure can ensure the stability of the tower, but it will lead to the increase of local stress to a certain extent. Compared with the traditional tower, the buckling mode displacement of the bionic tower is relatively small, which indicates that the bionic tower can effectively improve the instability resistance of the tower.
  • New Energy Resources and Energy Storage
    Three-dimensional Dynamic Wake Characteristics of Yaw Wind Turbine and Field Experimental Validation
    GAO Xiaoxia, Lü Tao, MA Wanli, ZHU Xiaoxun, WANG Yu, ZHAO Fei
    2025, 45(4): 537-543. https://doi.org/10.19805/j.cnki.jcspe.2025.240015
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    The three-dimensional yaw entire wake model was improved, and a three-dimensional dynamic entire wake model of wind turbine yaw, namely the Y-3DJGF-T model, was proposed, considering the dynamic delay characteristics of the yaw wind turbine wake and further considering its influence on the spatial distribution of the wake field. To verify the accuracy of the Y-3DJGF-T model in wake centerline and vertical profile, two vertical lidars were used to conduct field experiments, and the data acquisition and supervisory control (SCADA) system data were used to analyze the wake delay time and velocity changes under yaw conditions. Results show that the average relative error between the calculated and measured values of the Y-3DJGF-T model is 2.51%.
  • New Energy Resources and Energy Storage
    Multi-source Data-driven Yaw Steady-state Error Calibration Method for Wind Turbines and Field Application Testing
    QU Chenzhi, LIN Zhongwei, LIU Jizhen, XIE Zhen, CHEN Pei, CHEN Zhenyu, CHEN Ling
    2025, 45(4): 544-553. https://doi.org/10.19805/j.cnki.jcspe.2025.240025
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    A data-driven yaw steady-state error calibration method was proposed, aiming to improve power generation efficiency without extensive hardware modifications. Taking a 2 MW horizontal-axis wind turbine as the research object, a steady-state error calculation method based on data acquisition and monitoring control system (SCADA) was established, providing a quantitative reference for error calibration. A nacelle-mounted lidar was installed on the target turbine to participate in calibration verification. By analyzing and comparing multi-source wind direction data, a strategy for lidar participation in steady-state error calibration was developed. Considering the error calibration references calculated from both SCADA and lidar data sources, the method was applied and evaluated in the field on a commercial turbine. Results show that the yaw control accuracy and power generation efficiency of the turbine have been improved significantly after calibration. The proposed method can be used for technical upgrades to enhance the performance of wind turbines.
  • New Energy Resources and Energy Storage
    Study on Wind and Solar Complementary Assessment Methods for Available and Unavailable Periods
    REN Guorui, YAN Xuchen, WANG Wei, WAN Jie
    2025, 45(4): 554-562. https://doi.org/10.19805/j.cnki.jcspe.2025.240065
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    The ratio of fluctuation amplitudes of wind and solar power was defined, and it was used to improve the correlation coefficients to quantify the complementarity during available periods. Meanwhile, based on the unavailability time of one new energy source and the output amplitude of the other new energy source in the corresponding period, the complementary evaluation indicator of wind and solar energy during the unavailability period was defined. The proposed indicators were used to assess the complementarity of wind and solar energy in Heilongjiang province, and the influence of the installed capacity ratio of wind and solar power on the complementarity was analyzed. Results show that compared with the western region of Heilongjiang, the available and unavailable periods of wind and solar energy in the eastern region show greater complementarity. Over a year, the available periods of wind and solar energy are less complementary in April, while the least complementary periods are available in June, July and August.
  • New Energy Resources and Energy Storage
    Performance Analysis of Compressed Air Energy Storage System Coupled with Heat Pump
    LIU Xu, SHI Zhijie, LIU Jian, ZHANG Qian
    2025, 45(4): 563-570. https://doi.org/10.19805/j.cnki.jcspe.2025.240064
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    In order to solve the problem of waste heat from the exhaust of the advanced adiabatic compressed air energy storage final stage expander and improve the efficiency of the system,a compressed air energy storage system coupled with a heat pump was proposed. A 120 MW advanced adiabatic compressed air energy storage project was selected as the research object, and a simulation was conducted by using THERMOFLEX software, so as to carry out the energy analysis and exergy analysis of the new coupling system. Subsequently, the influence of environmental temperature and initial temperature of thermal oil on the performance of the coupling system was studied. Results show that the heat pump system can fully utilize the exhaust heat from the final stage expander of the compressed air energy storage system, while providing hot water for heat users. Compared with the original compressed air energy storage system, the energy efficiency of the coupling system is increased by 3.75 percentage points, and the exergetic efficiency is increased by 2.38 percentage points. The components with significant exergy destruction are in No.1 and No.2 oil-gas heat exchangers. Low ambient temperature and low initial temperature of thermal oil are beneficial to improving the energy storage performance of the system.
    • Digitalization and Intelligentization
  • Digitalization and Intelligentization
    Fault Diagnosis of Rolling Bearing Based on Channel Attention Mechanism and Multi-scale Subtraction Lightweight Neural Network
    ZHANG Li, DENG Aidong, WANG Min, BIAN Wenbin, ZHANG Yujian
    2025, 45(4): 571-581. https://doi.org/10.19805/j.cnki.jcspe.2025.240071
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    Aiming at the problems of inaccurate feature location, long training time, and poor anti-noise performance in traditional multi-scale convolutional neural network models, a fault diagnosis model for rolling bearings based on channel attention mechanism and multi-scale subtraction lightweight neural network was proposed. First, the one-dimensional vibration signal of rolling bearing was converted into a two-dimensional grayscale images as input to enrich feature information. Meanwhile, a multi-scale subtraction neural network model was constructed to focus on level differences. Secondly, a lightweight module was introduced to reduce memory access. Then, the feature weights were adjusted by combining with the channel attention mechanism. Finally, the fault samples were input into the network model to achieve accurate classification. The diagnosis tasks were conducted using the sample data collected from the wind turbine transmission system simulation test bench. Results show that this model has high diagnostic accuracy under constant, variable working conditions and strong noise working conditions, which can overcome the drawbacks caused by the large number of network layers and parameters in traditional multi-scale convolutional neural network models. It can fully focus on the difference information between the levels, reduce the extraction of redundant information, locate fault characteristics accurately, and shorten the model training time. It has high diagnostic accuracy under constant working condition, variable working conditions and strong noise conditions.
  • Digitalization and Intelligentization
    Research on Dynamic Characteristics and Flexible Operation Control Strategy Optimization of Nuclear Power and Water Cogeneration System
    WU Qingyang, LI Gen, LIU Ming, HAN Xiaoqu, ZHANG Yufeng, YAN Junjie
    2025, 45(4): 582-591. https://doi.org/10.19805/j.cnki.jcspe.2025.240261
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    To accommodate the large scale renewable power combined to the grid, participation of nuclear power units in peak shaving becomes a trend. However, frequent adjustment of reactor power affects the operational safety and economy of nuclear power units. Power and water cogeneration and power control strategy optimization were proposed to enhance the operational flexibility of nuclear power units. The variable load performance under different variable load rates of 1%-5%FP/min was dynamically simulated in combination with the case nuclear power unit. In addition, the center temperature deviation of the fuel rods during the variable load process was quantitatively analyzed. Results show that the proposed coupling power control strategy can achieve flexible adjustment in the variable load range of 65%FP to 90%FP, which improves the operational flexibility of the power and water cogeneration integrated system. Furthermore, the full load operation of the reactor is maintained during the variable load process, which reduces the frequent movement of the control rods and improves the operational safety of the reactor. Compared to the original power control strategy, the coupling power control strategy reduces the range of fuel rod center temperature deviation by 41.24% to 45.28% during variable load process, reducing the alternating stress experienced by the fuel rod cladding, thereby improving the life of fuel rod cladding and the safe and stable operation of nuclear power units.
    • Green Energy and Low-carbon Technology
  • Green Energy and Low-carbon Technology
    Dynamic Soft Measurement Model of NOx Concentration at the Outlet of SNCR Denitrification System Based on Variable Selection and POA-NARX
    ZHAO Zheng, LIANG Lei, LIU Saiheng
    2025, 45(4): 592-601. https://doi.org/10.19805/j.cnki.jcspe.2025.240018
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    To address issues of unstable working conditions within waste incinerator selective non-catalytic reduction (SNCR) denitrification system, including many factors affecting outlet NOx concentration and the inability to timely and accurately measure outlet NOx concentration, a dynamic soft measurement model for NOx concentration at the outlet of SNCR denitrification system was proposed based on variable selection and the pelican optimization algorithm-nonlinear autoregressive(POA-NARX). The factors affecting NOx concentration at the outlet of SNCR denitrification system were firstly analyzed by mechanism and the characteristic variables were selected. An improved fast correlation-based filter (FCBF) algorithm was then used to select highly correlated variables and remove redundant ones. Time delay estimation was carried out by using data trend analysis method and mutual information algorithm. Finally, pelican optimization algorithm was used to determine the optimal order of the system variables and establish a dynamic soft measurement model of NOx concentration at the outlet of SNCR denitrification system. The experimental results show that the accuracy of the NARX dynamic model after variable filtering and time lag analysis is significantly improved, and the prediction effect of the POA-NARX model is significantly better than other soft measurement models.
  • Green Energy and Low-carbon Technology
    Middle-Low-temperature Flue Gas Arsenic Removal and Sulfur Resistance Performance of FeCeLaO/Fly Ash-based SiO2-Al2O3
    WANG Kai, ZHANG Kaihua, ZHANG Kai
    2025, 45(4): 602-611. https://doi.org/10.19805/j.cnki.jcspe.2025.240039
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    The surface of fly ash was modified using an alkali fusion-acid washing method to prepare an active Si-Al carrier. And Fe, Ce, La composite oxides were used as the active components to prepare FeCeLaO/active Si-Al carrier composite adsorbent by co-precipitation method. The adsorbents were characterized by X-ray fluorescence spectroscopy (XRF), specific surface area measurements, and X-ray diffraction (XRD) patterns. Effects of temperature, Si/Al mass ratio, FeCeLaO loading ratio on arsenic removal efficiency and sulfur poisoning resistance of the composite adsorbent were investigated. Results show that the arsenic removal capacity of active Si-Al carrier increases first and then decreases with the increase of Si/Al mass ratio and adsorption temperature. The optimal Si/Al mass fraction ratio is 1.85, achieved a maximum arsenic removal efficiency of 78.7%, which is 2.8 times higher than that of raw fly ash. The highest removal efficiency of 84.8% is located in the high temperature range of 600 ℃. The best adsorption temperature of FeCeLaO/active Si-Al carrier composite adsorbent is located in the middle and low temperature section of 400 ℃, the arsenic removal efficiency is as high as 96.9%, and the best loading ratio of active components is 1∶1. The anti-sulfur poisoning ability of active Si-Al carriers is enhanced with the increase Si/Al mass fraction ratio. The introduction of FeCeLaO active component is conducive to the enhancement of the antisulfur poisoning ability of the adsorbent, and the higher the loading ratio, the stronger the anti-sulfur poisoning ability. The reason for the strong anti-sulfur poisoning ability of FeCeLaO/active Si-Al oxides is mainly due to the surface acidity of SiO2 and the protective effect of elemental Ce on the active components, such as Fe, La, Al, etc.
  • Green Energy and Low-carbon Technology
    Study on the Characteristics of Evaporation Product from Desulfurization Wastewater by Rotary Spray and Its Influence on the Resource Utilization of Fly Ash
    SUN Zongkang, ZHENG Suoqi, ZHAN Lingxiao, YANG Linjun
    2025, 45(4): 612-618. https://doi.org/10.19805/j.cnki.jcspe.2025.240053
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    Spray evaporation experiments were carried out on the pilot rotary spray drying platform for desulfurization wastewater. The morphology, composition and flowability of the spray-dried products were characterized. The effects of desulfurization wastewater rotary spray evaporation on the operation of the electrostatic precipitator(ESP) and the resource utilization of fly ash were also discussed. Results show that the salt precipitated from wastewater evaporation forms mostly large flaky structure. Some fly ash particles appear obvious agglomeration through the crystal bridge connection. The drying products mainly contain crystalline salts including MgSO4, CaSO4·0.5H2O, SiO2 and NaCl, etc. The wastewater spray evaporation has a certain agglomeration effect on the fly ash particles, which is conducive to improving the ESP's capture efficiency of fine particles. The flowability of the evaporated products at the bottom of the tower is intermediate between the flowable powder and the cohesive powder. With the increase of the water content in the evaporated products, the flowability of drying products deteriorates. In the experimental conditions, about 90% of the chlorine in the desulfurization wastewater is transferred into the evaporated products and enters into the main flue. The mass concentration of the chlorine in the main flue fly ash increases slightly, but it can still meet the national and industrial standards related to the resource utilization of fly ash.
  • Green Energy and Low-carbon Technology
    Evolution of ABS on the Surface of Vanadium-Titanium Catalyst and Its Influence on Catalytic Activity
    HUANG Linbin, HE Lucan, CHEN Guoqing, TAN Rui, GAO Xinglong, ZHANG Haifeng, ZHANG Esong, YU Jie
    2025, 45(4): 619-625. https://doi.org/10.19805/j.cnki.jcspe.2025.240171
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    Evolution characteristics of ammonium bisulfate (ABS) on the surface of vanadium-titanium catalyst and its influence on catalytic activity were investigated. Physical and chemical properties of the catalyst before and after ABS loading were characterized to obtain the mechanism of the influence of ABS on catalytic activity through methods of XRD, BET, FTIR, TGA, etc. Density functional theory (DFT) calculation was employed to theoretically study the mechanism of different active sites of the catalyst. Denitrification bench experiments were conducted on the ABS-loaded catalyst. Results show that ABS deposition leads to a decrease in the specific surface area of the catalyst. When the ABS content is low, sulfur-containing groups on the catalyst surface primarily exist in the form of SO2-4. As the ABS content increases, HSO-4 functional groups are generated. The main active sites for the reaction in the catalyst are the Lewis acid sites of vanadium oxide. Sulfide generated by the decomposition of ABS within the catalyst contains Brønsted acid sites which can store NH3, thus contributes to a certain improvement in catalytic activity. ABS-loaded catalyst exhibits stronger denitrification activity at higher temperature, consistent with DFT calculation results. From a microscopic perspective, trace amount of ABS can enhance catalytic activity.
    • Integrated Energy System
  • Integrated Energy System
    Review of Research on Enhance Flexibility Methods of Combined Heat and Power Units
    SUN Jian, WU Baogang, WANG Guoshun, QIN Yu, YANG Yongping
    2025, 45(4): 626-634. https://doi.org/10.19805/j.cnki.jcspe.2025.240048
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    In 2022, China's thermal power generation accounts for 58.4% of the total annual power generation, with more than 40% of thermal power units being cogeneration units. The proportion of renewable energy in China's power generation is gradually rising, and its volatility puts forward higher requirements for the flexibility of cogeneration units. At present, the flexible transformation technology mainly includes operation mode, system structure and equipment transformation. The transformation schemes and applications such as high and medium pressure bypass transformation, heat storage transformation, heat pump transformation and low pressure cylinder zero output scheme were analyzed. Results show that compared with the single transformation scheme, the combination of multiple flexible transformation schemes has higher overall energy efficiency and is easier to achieve deep peak shaving. In the follow-up, the operation strategy of combining multiple transformation schemes should be optimized, so as to improve the flexibility of thermal power units and achieve the dual goals of low-carbon and flexibility.
  • Integrated Energy System
    Working Fluid Selection and System Comprehensive Performance Evaluation of ORC Power Generation System Based on Dung Beetle Optimization Algorithm
    PENG Bin, XU Jianwei
    2025, 45(4): 635-644. https://doi.org/10.19805/j.cnki.jcspe.2025.240058
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    Based on the issues in the selection of working fluids for organic Rankine cycle(ORC) power generation systems, such as inconsistent evaluation criteria and the inability to comprehensively reflect the overall system performance, initial screening of working fluids was conducted according to selection principles at a heat source temperature of 150 ℃. Subsequently, thermodynamic, thermal-economic, and environmental models of the ORC system were established using MATLAB coupled with REFPROP9.0. Thermal efficiency and exergy efficiency were adopted as thermodynamic performance indicators, the required heat transfer area per unit output power was used as the thermal-economic performance indicator, and equivalent carbon dioxide emissions were chosen as the environmental performance indicators. The impacts of different working fluids on the system's thermodynamic, thermal-economic, and environmental performance were studied, and the dung beetle optimization algorithm was compared with the other four commonly used algorithms to select working fluids. Results show that the evaporator and condenser temperatures have significant effects on the system. The increase of evaporator temperature is beneficial for the system's thermodynamic performance, which of condenser temperature is detrimental to thermodynamic performance and environmental performance. Superheat has a significant impact on exergy efficiency but a minor impact on environmental performance indicators. When the evaporator temperature is 100 ℃ and the condenser temperature is 30 ℃, the system achieves the minimum specific heat transfer area per unit output power. The comprehensive evaluation function value of R245fa is much greater than that of other working fluids, indicating that its overall performance is the best.