The Rankine cycle models how heat energy is converted into mechanical work in steam power plants. In its simplest form the cycle consists of four idealized processes executed by water or another working fluid: pumping of saturated liquid to high pressure, boiling at nearly constant pressure to produce high temperature vapor, expansion through a turbine to generate shaft power, and condensation back to saturated liquid at low pressure. Because the cycle begins and ends with the fluid in the same state, it is a thermodynamic cycle, and its performance is quantified by the ratio of net work output to heat input known as thermal efficiency. Power stations built on this principle dominate global electricity production.
The diagram of a Rankine cycle resembles a closed loop on a pressure-enthalpy or temperature-entropy chart. Starting at state 1, the working fluid is a saturated liquid at the condenser pressure. The feed pump raises the pressure to the boiler level with only a modest enthalpy rise because liquids have low specific volume. In the boiler, the fluid absorbs a large amount of heat at nearly constant pressure and transitions from liquid to saturated vapor, reaching state 2. The high pressure vapor then expands through a turbine, producing work as its enthalpy drops to state 3. Finally the vapor enters the condenser where it rejects heat to cooling water and returns to a saturated liquid at state 4, ready for the next cycle. By carefully analyzing enthalpy changes around this loop, engineers can compute energy flows and efficiency.
Although real plants use detailed steam tables, the ideal Rankine cycle admits a simple formulation using state enthalpies. Turbine work equals the enthalpy drop of the vapor across the turbine:
The pump requires work to raise the pressure, given by the enthalpy increase from state 4 to state 1:
Boiler heat input equals the enthalpy rise from pump outlet to turbine inlet:
The net work delivered by the cycle is the turbine output minus the pump input, and the thermal efficiency becomes the ratio of this net work to the boiler heat:
This calculator accepts the four key enthalpies , , , and in kilojoules per kilogram. These values can be extracted from steam tables or thermodynamic property charts. With them, the script determines turbine work, pump work, heat input, net work, and the resulting efficiency expressed as a decimal fraction.
The table below illustrates typical enthalpy values for a simple saturated Rankine cycle using water with a boiler pressure of 3 MPa and a condenser pressure of 10 kPa. Though approximate, they reveal how energy distributes around the loop.
State | Description | Enthalpy (kJ/kg) |
---|---|---|
1 | Pump outlet (compressed liquid) | 192 |
2 | Boiler exit (saturated vapor) | 3175 |
3 | Turbine exit (wet vapor) | 2245 |
4 | Condenser exit (saturated liquid) | 191 |
For these values the turbine work is roughly 930 kJ/kg, the pump work is only 1 kJ/kg, the heat input equals about 2983 kJ/kg, and the thermal efficiency computes to around 31%. Real plants incorporate reheaters, feedwater heaters, and higher boiler pressures to push efficiencies above 40%, but this simple example conveys the basic magnitudes.
Thermal efficiency directly affects how much fuel a power station consumes for each kilowatt-hour generated. An efficiency of 40% means that 60% of the fuel's chemical energy ends up as waste heat, typically discharged to the environment via cooling towers or water bodies. Improving efficiency reduces fuel costs, decreases emissions, and allows a plant to deliver more power from the same equipment. Engineers therefore pursue methods such as superheating the steam, reheating it between turbine stages, increasing boiler pressure, or employing regenerative feedwater heating to raise . These modifications complicate the cycle but rely on the same enthalpy bookkeeping implemented in this calculator.
In addition to plant design, Rankine efficiency analysis helps in education and research. Students use it to understand how energy conservation applies around a cycle, while researchers evaluate alternative working fluids for organic Rankine systems that recover waste heat. In such applications the enthalpy differences may be smaller, but the mathematical approach is identical. By prompting users to supply enthalpies directly, the calculator emphasizes the importance of property data and invites exploration of how changes in pressure, temperature, and quality influence performance.
Although the ideal Rankine cycle assumes reversible processes and saturated states, actual equipment introduces losses. Turbines exhibit an isentropic efficiency less than one, meaning the true enthalpy drop is smaller than the ideal value. Pumps likewise require more work than the theoretical minimum. Condensers and boilers experience pressure drops, and steam may carry moisture that erodes turbine blades. Nonetheless, by starting with the ideal model, engineers can apply correction factors and analyze deviations systematically. The cycle's modular nature also aids in troubleshooting: if efficiency falls, examining enthalpy changes at each component reveals whether poor boiler performance, turbine fouling, or condenser issues are to blame.
Finally, Rankine efficiency informs the global transition to cleaner energy. Many solar thermal plants and waste-to-energy facilities employ Rankine cycles, and understanding their thermodynamics guides efforts to integrate renewables, capture carbon, and repurpose industrial waste heat. Incremental efficiency gains across thousands of installations translate into significant fuel savings and emission reductions worldwide. This calculator provides a simple yet rigorous tool for estimating how design choices affect that efficiency.
Experiment with the form above by inserting enthalpy values from different pressure levels or incorporating turbine and pump efficiencies. Observe how raising boiler enthalpy or lowering condenser enthalpy impacts net work. Through such explorations, the Rankine cycle becomes more than an abstract textbook diagram; it becomes a tangible representation of the energy transformations powering much of modern civilization.
Estimate the thermal efficiency of an ideal Otto cycle using compression ratio and heat capacity ratio.
Estimate hourly excavation output using bucket capacity, cycle time, job efficiency, swell factor, and material density.
Compute potential electric output from an ocean thermal energy conversion system using water temperatures, mass flow and efficiency.