Simulation dataset for the thermodynamic optimization of a triple combined cycle power plant with a bottoming Organic Rankine Cycle
收藏资源简介:
This dataset contains the complete set of steady-state thermodynamic simulations supporting the optimization of a 500 MWe natural-gas combined cycle power plant retrofitted with a bottoming subcritical Organic Rankine Cycle, forming a triple combined cycle. All simulations were carried out in EBSILON Professional. The dataset has two parts. The first is a full factorial sweep of the topping Brayton–Rankine plant over 125 combinations of compressor pressure ratio (5–25), gas turbine exhaust temperature (400–600 °C) and HRSG live-steam pressure (60–140 bar), reporting net thermal efficiency and net electrical output for each case. The second is a set of 28 converged design points of the bottoming ORC, covering six dry hydrocarbon working fluids (n-butane, n-pentane, , cyclopentane, n-hexane and cyclohexane) at evaporation temperatures between 90 and 150 °C. Every design point satisfies an explicitly enforced 10 K pinch-point temperature difference in the evaporator, obtained by adjusting the organic mass flow rate. For each point the dataset reports the imposed boundary conditions, the raw EBSILON outputs (power, stack temperature, pinch point, evaporator conductance, condenser duty, turbine enthalpies and volume flow rates) and a set of derived quantities: isentropic enthalpy drop, turbine size parameter, volume flow ratio, exergy recovered from the flue gas and second-law efficiency of the bottoming cycle. A Python script is included that recomputes all derived quantities from the raw EBSILON outputs and reproduces the corresponding figures of the associated article, so that every derived value can be independently verified. The data support the finding that, once a realistic pinch-point constraint is enforced, the thermodynamic performance of the six candidate fluids is almost indistinguishable above a stack temperature of about 100 °C, and that the selection of the working fluid is instead governed by the achievable stack temperature, the size of the expander and the required evaporator surface.




