方法对比
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| 有限时间热力学× | 布雷顿循环× | 火用经济性分析× | |
|---|---|---|---|
| 领域 | 热力学 | 热力学 | 热力学 |
| 方法族 | Process / pipeline | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1996 | 1873 | 1993 |
| 提出者≠ | Adrian Bejan | George Brayton | Goran Tsatsaronis |
| 类型≠ | Thermodynamic optimization | Thermodynamic cycle | Thermoeconomic assessment |
| 开创性文献≠ | Bejan, A. (1996). Entropy Generation Minimization. CRC Press. ISBN: 978-0849394515 | Moran, M. J., Shapiro, H. N., Boettner, D. D., & Bailey, M. B. (2014). Fundamentals of Engineering Thermodynamics (8th ed.). Wiley. ISBN: 978-1118412947 | Tsatsaronis, G. (1993). Thermoeconomic analysis and optimization of energy conversion processes. Progress in Energy and Combustion Science, 19(4), 323-356. DOI ↗ |
| 别名 | FTT, irreversible thermodynamics | Joule cycle, gas turbine cycle | exergy costing, thermoeconomic analysis |
| 相关 | 3 | 3 | 3 |
| 摘要≠ | Finite-Time Thermodynamics (FTT) relaxes the classical assumption that thermodynamic processes occur reversibly (infinitely slowly). Instead, it analyzes real thermal systems operating at finite rates with irreversibilities. FTT reveals fundamental trade-offs: to complete a process quickly requires accepting large irreversibilities and low efficiency, while slow operation achieves high efficiency but requires impractical time and cost. | The Brayton Cycle (also called Joule Cycle) describes the thermodynamic process in gas turbines and jet engines. It consists of four processes: isentropic compression in a compressor, isobaric combustion (heat addition), isentropic expansion in a turbine, and isobaric heat rejection. The Brayton Cycle is the foundation for analyzing aircraft propulsion, ground-based power generation, and simple-cycle gas turbine plants. | Exergoeconomic analysis combines thermodynamics and economics by assigning monetary costs to exergy streams. It reveals how thermodynamic irreversibilities translate into economic losses within industrial systems. This approach enables engineers to identify the most economically significant inefficiencies and make informed decisions about component improvements and system optimization. |
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