SEUIF97

This is the Rust implementation of the high-speed IAPWS-IF97 package seuif97 with C and Python binding. It is suitable for computation-intensive calculations，such as heat cycle calculations, simulations of non-stationary processes, real-time process monitoring and optimizations.

Through the high-speed package, the results of the IAPWS-IF97 are accurately produced at about 5-20x speed-up compared to using the powi() of the Rust standard library in the forloop directly when computing the basic equations of Region 1,2,3.

The Fast Methods

1. The multi-step method unleashes the full power of the compiler optimizations while using powi() with the for loop
2. The recursive method computes the polynomial values of the base variable and its derivatives

In the package, 36 thermodynamic, transport and further properties can be calculated.

The following 12 input pairs are implemented:

(p,t) (p,h) (p,s) (p,v) 

(t,h) (t,s) (t,v) 

(p,x) (t,x) (h,x) (s,x) 

(h,s)  

Usage

Install the crate

cargo add seuif97

The type of functions are provided in the package:

struct o_id_region_args {
   o_id: i32,
   region: i32,
}

fn<R>(f64,f64,R) -> f64
where
    R: Into<o_id_region_args>,

• the first,second input parameters(f64) : the input propertry pairs
• the third and fourth input parametes:
  • the third : the property ID of the calculated property - o_id
  • the fourth option parameter: the region of IAPWS-IF97
• the return(f64): the calculated property value of o_id

pt<R>(p:f64,t:f64,o_id_region:R)->f64
ph<R>(p:f64,h:f64,o_id_region:R)->f64
ps<R>(p:f64,s:f64,o_id_region:R)->f64
pv<R>(p:f64,v:f64,o_id_region:R)->f64

th<R>(t:f64,h:f64,o_id_region:R)->f64
ts<R>(t:f64,s:f64,o_id_region:R)->f64
tv<R>(t:f64,v:f64,o_id_region:R)->f64

hs<R>(h:f64,s:f64,o_id_region:R)->f64

px(p:f64,x:f64,o_id:i32)->f64
tx(p:f64,x:f64,o_id:i32)->f64
hx(h:f64,x:f64,o_id:i32)->f64
sx(s:f64,x:f64,o_id:i32)->f64

Example

use seuif97::*;
fn main() {
    
    let p:f64 = 3.0;
    let t:f64= 300.0-273.15;
   
    let h=pt(p,t,OH);
    let s=pt(p,t,OS);
    // set the region
    let v=pt(p,t,(OV,1));
    println!("p={p:.6} t={t:.6} h={t:.6} s={s:.6} v={v:.6}");   
}

The C binding

Building the dynamic link library

• cdecl

cargo build -r --features cdecl

• stdcall: Win32 API functions

cargo build -r --features stdcall

The convenient compiled dynamic link libraries are provided in the ./dynamic_lib/

• seuif97.dll: Windows64 and Windows32

• libseuif97.so: Linux64

The functions in C

double pt(double p,double t,short o_id);
double ph(double p,double h,short o_id);
double ps(double p,double s,short o_id);
double pv(double p,double v,short o_id);

double tv(double t,double v,short o_id);
double th(double t,double h,short o_id);
double ts(double t,double s,short o_id);

double hs(double h,double s,short o_id);

double px(double p,double x,short o_id);
double tx(double t,double x,short o_id);
double hx(double h,double x,short o_id);
double sx(double s,double x,short o_id);

Example

• ./demo_using_lib/: C, Python, C#, Excel VBA, Java, Fortran

#include <stdlib.h>
#include <stdio.h>
#include <string.h>

#define OH 4
#define OS 5

extern double pt(double p,double t,short o_id);

int main(void)
{
    double p = 16.0;
    double t = 530.0;
    double h = pt(p, t, OH);
    double s = pt(p, t, OS);
    printf("p,t %f,%f h= %f s= %f\n", p, t, h, s);
    return EXIT_SUCCESS;
}

The Example of Rankine Cycle Analysis

• The Rankine Cycle Steady-state Simulator in Python，C++ and Modelica

The Python binding

Install

pip install seuif97

Example

from seuif97 import *

OH=4

p=16.0
t=535.1
# ??(in1,in2,o_id)
h=pt(p,t,OH)
# ??2?(in1,in2)
s=pt2s(p,t)
print(f"p={p}, t={t} h={h:.3f} s={s:.3f}")

Examples

• T-S Diagram

• H-S Diagram

• H-S Diagram of Steam Turbine Expansion

• The Hybrid Steady-state Simulator of Rankine Cycle in Python

Properties

Cite as

• Cheng Maohua. (2023). The Rust implementation of the high-speed IAPWS-IF97 package: SEUIF97 (1.0.9). Zenodo. https://doi.org/10.5281/zenodo.8246380