Performance analysis and multi-objective optimization based on a modified irreversible Stirling cycle

被引:0
|
作者
XU Lei
YU MinJie
LIU ZhiChun
LIU Wei
机构
[1] Huazhong University of Science and Technology
[2] School of Energy and Power Engineering
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
TK401 [理论];
学科分类号
摘要
The efficiency of the actual Stirling engine is much lower than the ideal Carnot cycle efficiency. To obtain more precise efficiency for Stirling engines, this paper proposes a modified Stirling cycle with a more accurate heat transfer process in Stirling engines based on a thermodynamic function called available potential. The finite-time thermodynamic method is used to analyze the model performance under constant heat source temperature, finite temperature difference heat transfer, and incomplete regenerative processes. A new polytropic process is introduced to model the heat transfer between the working fluid and external heat sources in which only heat above ambient temperature is converted into technical work. The regenerator is divided into numerous smaller heat reservoirs with individual temperature to analyze the incomplete regenerative processes. The expressions of the output power and thermal efficiency are obtained based on the modified irreversible Stirling cycle, and the effects of irreversible losses are analyzed to evaluate the performance of the proposed model. Results indicate that the efficiency of the modified cycle is much lower than that of the ideal Stirling cycle with an isothermal process. With the increase of the average heat transfer temperature difference, there exists an optimum value for the power of the irreversible cycle. The optimum power of the model was obtained for varying thermodynamic parameters by optimizing the average heat transfer temperature difference between the hot and cold sides. To optimize the irreversible model, the multi-objective optimization analysis is carried out based on NSGA-Ⅱ, which results in an optimized output power of 40.87 kW and an optimized thermal efficiency of 44%.
引用
收藏
页码:1668 / 1684
页数:17
相关论文
共 50 条
  • [31] Control strategy optimization of a Stirling based residential hybrid system through multi-objective optimization
    Bengoetxea, Aritz
    Fernandez, Marta
    Perez-Iribarren, Estibaliz
    Gonzalez-Pino, Iker
    Las-Heras-Casas, Jesus
    Erkoreka, Aitor
    ENERGY CONVERSION AND MANAGEMENT, 2020, 208
  • [32] Control strategy optimization of a Stirling based residential hybrid system through multi-objective optimization
    Bengoetxea, Aritz
    Fernandez, Marta
    Perez-Iribarren, Estibaliz
    Gonzalez-Pino, Iker
    Las-Heras-Casas, Jesus
    Erkoreka, Aitor
    Bengoetxea, Aritz (bengoetxea93@gmail.com), 1600, Elsevier Ltd (208):
  • [33] A Modified Multi-Objective Optimization Based on Brain Storm Optimization Algorithm
    Xie, Lixia
    Wu, Yali
    ADVANCES IN SWARM INTELLIGENCE, ICSI 2014, PT II, 2014, 8795 : 328 - 339
  • [34] Thermodynamic analysis and performance optimization of irreversible Carnot refrigerator by using multi-objective evolutionary algorithms (MOEAs)
    Ahmadi, Mohammad H.
    Ahmadi, Mohammad Ali
    Sadatsakkak, Seyed Abbas
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 51 : 1055 - 1070
  • [35] Multi-objective optimization and analysis of performance of a four-temperature-level multi-irreversible absorption heat pump
    Nemogne, Rodrigue Leo Fossi
    Wouagfack, Paiguy Armand Ngouateu
    Nouadje, Brigitte Astrid Medjo
    Tchinda, Rene
    ENERGY CONVERSION AND MANAGEMENT, 2021, 234
  • [36] Thermo-economic analysis and multi-objective optimization of a solar dish Stirling engine
    Rostami, Mohsen
    Assareh, Ehsanolah
    Moltames, Rahim
    Jafarinejad, Tohid
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2021, 43 (22) : 2861 - 2877
  • [37] Multi-objective optimization and design for free piston Stirling engines based on the dimensionless power
    Mou, Jian
    Hong, Guotong
    26TH INTERNATIONAL CRYOGENIC ENGINEERING CONFERENCE & INTERNATIONAL CRYOGENIC MATERIALS CONFERENCE 2016, 2017, 171
  • [38] Multi-objective optimization of a Stirling cooler using particle swarm optimization algorithm
    Wang, Lifeng
    Zheng, Pu
    Ji, Yuzhe
    Chen, Xi
    SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT, 2022, 28 (03) : 379 - 390
  • [39] Multi-objective Optimization Analysis Based on Flash Cycle Combined Power Generation System
    Lu, Danfeng
    Zhang, Jiashun
    Shang, Liyan
    Zhou, Li
    Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics, 2022, 43 (05): : 1163 - 1173
  • [40] Designing a powered combined Otto and Stirling cycle power plant through multi-objective optimization approach
    Ahmadi, Mohammad H.
    Ahmadi, Mohammad Ali
    Pourfayaz, Fathollah
    Hosseinzade, Hadi
    Acikkalp, Emin
    Tlili, Iskander
    Feidt, Michel
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 62 : 585 - 595