核心概念
This article presents a Python computer program that utilizes the Cantera software package to analyze superheated steam power cycles, allowing for the exploration of different design variables and performance optimization.
要約
The article presents a Python computer program that can analyze superheated steam power cycles. The program utilizes the Cantera software package, which provides built-in thermodynamic properties for water.
The key highlights and insights are:
- The program allows the user to input various parameters, such as pump efficiency, turbine efficiency, maximum pressure, minimum pressure, and maximum temperature, to define the superheated steam cycle.
- The program simulates the four main processes of the steam cycle: compression in a pump, heat addition in a boiler with a superheater, expansion in a turbine, and condensation in a condenser.
- The program computes and reports the key performance metrics of the steam cycle, including pump work, turbine work, net output work, heat added, heat rejected, and overall cycle efficiency.
- The program is validated against a benchmarking case from the literature, demonstrating its accuracy in predicting the performance of the superheated steam cycle.
- The program is capable of handling both subcritical and supercritical steam cycles, as Cantera can compute water properties in both regimes.
- The program is presented as an extension to the existing Cantera examples for thermodynamic and power generation applications, providing a more comprehensive tool for analyzing superheated steam cycles.
統計
Pump work per kg: 5.04 kJ/kg
Turbine work per kg: 1336.99 kJ/kg
Net output work per kg: 1331.95 kJ/kg
Heat added per kg: 3450.93 kJ/kg
Heat rejected per kg: 2118.98 kJ/kg
Cycle efficiency: 38.60%
引用
"The program can be helpful for engineers, researchers, or students involved in any of the fields of fuel-fired steam power plants, combined cycle power plants, nuclear power plants, solar thermal power plants, thermodynamics, computational modelling, or Python programming."