| State | T (°C) | P (MPa) | h (kJ/kg) | s (kJ/kg·K) | Description |
|---|
$\eta_{th}= \dfrac{w_{net}}{q_{in}}= \dfrac{(h_3-h_4)-(h_2-h_1)}{h_3-h_2}$
Turbine isentropic efficiency:
$\eta_t = \dfrac{h_3-h_4}{h_3-h_{4s}}$
Visualize steam power (Rankine) and refrigeration cycles on T-s and P-h diagrams in real time. Automatically calculate thermal efficiency, COP, and state properties.
| State | T (°C) | P (MPa) | h (kJ/kg) | s (kJ/kg·K) | Description |
|---|
The core performance metric for the Rankine power cycle is its thermal efficiency. It's the ratio of the net work output (turbine work minus pump work) to the heat input from the boiler.
$$\eta_{th}= \frac{w_{net}}{q_{in}}= \frac{(h_3-h_4)-(h_2-h_1)}{h_3-h_2}$$Here, $h$ is specific enthalpy (kJ/kg). Points 1, 2, 3, and 4 correspond to the states at the pump inlet, boiler inlet, turbine inlet, and condenser inlet, respectively, on the cycle diagram. The simulator calculates these enthalpies using the pressures and efficiencies you set.
For the refrigeration cycle, the equivalent metric is the Coefficient of Performance (COP). For cooling, it's the ratio of the desired heat removal from the cold space to the work input required by the compressor.
$$COP_{R}= \frac{q_{in}}{w_{in}}= \frac{h_1 - h_4}{h_2 - h_1}$$Here, $q_{in}$ is the refrigeration effect (heat absorbed in the evaporator), and $w_{in}$ is the compressor work. Points 1, 2, and 4 are at the compressor inlet, compressor outlet, and evaporator inlet. A higher COP means a more efficient refrigerator or air conditioner.
Coal/Nuclear Power Plants: These use large-scale Rankine cycles. The boiler pressure (P_high in the simulator) is supercritical in advanced plants, exceeding 22 MPa, to achieve thermal efficiencies over 45%. Engineers use CAE tools to optimize every component, from the feedwater pump (η_p) to the last turbine stage (η_t).
Geothermal Power Generation: Uses the Rankine cycle with organic working fluids (like pentane) that boil at lower temperatures than water. This allows them to generate electricity from lower-grade heat sources. The simulator's pressure and temperature parameters are critical for designing these Organic Rankine Cycles (ORCs).
Household Refrigeration: Your fridge runs on the vapor-compression cycle. The evaporating temperature (T_evap) is set below your fridge's interior temperature to absorb heat. The compressor efficiency (η_c) directly impacts your electricity bill. CAE simulation helps design more efficient compressors and select optimal refrigerants.
HVAC & Heat Pumps: An air conditioner is a refrigeration cycle. A heat pump is the same cycle, but used for heating—its COP is even more critical. By adjusting the condensing and evaporating temperatures (T_cond & T_evap) in the simulator, you can model how a heat pump's performance changes between a mild fall day and a cold winter night.
First, there is a pitfall in the idea that "thermal efficiency or COP is simply better the higher it is." While drastically increasing boiler pressure in the simulator does improve thermal efficiency, in a real plant, material strength limits and costs skyrocket. For example, supercritical pressure power plants are highly efficient but require expensive special steels for piping and boilers. A design that pursues only efficiency is not realistic.
Next, a misconception regarding the "evaporation temperature" setting in refrigeration cycles. Raising the evaporation temperature does indeed improve COP, but this assumes "the temperature of the space you want to cool can be set higher." If a refrigerator requires -20°C, forcibly setting the evaporation temperature to -5°C drastically reduces cooling capacity, failing to achieve the objective altogether. It's crucial to understand the trade-off between COP and the required cooling capacity.
Finally, do not mistake "100% turbine efficiency" or "isentropic processes" for real-world targets. Setting it to 100% in the simulator is to create an ideal reference benchmark. In actual turbines, losses inevitably occur due to friction at blade tips, leakage, etc., with even large ones maxing out around 90%. Use this tool to experience how much output drops when you lower efficiency, and understand that "how to minimize losses" is the essence of engineering.
Rankine & Refrigeration Cycle Simulator is a fundamental topic in engineering and applied physics. This interactive simulator lets you explore the key behaviors and relationships by directly manipulating parameters and observing real-time results.
By combining numerical computation with visual feedback, the simulator bridges the gap between abstract theory and physical intuition Emaking it an effective learning tool for students and a rapid-verification tool for practicing engineers.
R-134a refrigeration cycle: Phigh=12 bar, Plow=1.5 bar, eta-t=0.82, eta-p=0.80. At compressor inlet (state 1): h₁=246.6 kJ/kg, s₁=0.9082 kJ/kg·K. Isentropic compression to 12 bar yields h₂s=276.8 kJ/kg; actual h₂=283.2 kJ/kg (accounting for 80% pump efficiency). Condenser rejects 85.4 kJ/kg; evaporator absorbs 37.4 kJ/kg. Calculated COP=2.87 (37.4/(283.2−246.6)). Rankine comparison: steam at 100 bar, 400°C expanding isentropically to 0.1 bar yields η_th≈32% at 85% turbine efficiency versus 38% ideal.