مقایسهٔ روش‌ها

	ترمودینامیک زمان-محدود	چرخهٔ برِیتون	تحلیل اِگزِرگو-اقتصادی
حوزه	ترمودینامیک	ترمودینامیک	ترمودینامیک
خانواده	Process / pipeline	Process / pipeline	Process / pipeline
سال پیدایش	1996	1873	1993
پدیدآور	Adrian Bejan	George Brayton	Goran Tsatsaronis
نوع	Thermodynamic optimization	Thermodynamic cycle	Thermoeconomic assessment
منبع بنیادین	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.
نام‌های دیگر	FTT, irreversible thermodynamics	Joule cycle, gas turbine cycle	exergy costing, thermoeconomic analysis
مرتبط	3	3	3
خلاصه	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.