use super::PhaseEquilibrium;
use crate::equation_of_state::Residual;
use crate::errors::{FeosError, FeosResult};
use crate::state::{Contributions, State};
use crate::{SolverOptions, Verbosity};
use nalgebra::{DVector, Matrix3, Matrix4xX};
use num_dual::{Dual, DualNum, first_derivative};
use quantity::{Dimensionless, Moles, Pressure, Temperature};
const MAX_ITER_TP: usize = 400;
const TOL_TP: f64 = 1e-8;
impl<E: Residual> PhaseEquilibrium<E, 2> {
pub fn tp_flash(
eos: &E,
temperature: Temperature,
pressure: Pressure,
feed: &Moles<DVector<f64>>,
initial_state: Option<&PhaseEquilibrium<E, 2>>,
options: SolverOptions,
non_volatile_components: Option<Vec<usize>>,
) -> FeosResult<Self> {
State::new_npt(eos, temperature, pressure, feed, None)?.tp_flash(
initial_state,
options,
non_volatile_components,
)
}
}
impl<E: Residual> State<E> {
pub fn tp_flash(
&self,
initial_state: Option<&PhaseEquilibrium<E, 2>>,
options: SolverOptions,
non_volatile_components: Option<Vec<usize>>,
) -> FeosResult<PhaseEquilibrium<E, 2>> {
if let Some(init) = initial_state {
let vle = self.tp_flash_(
init.clone()
.update_pressure(self.temperature, self.pressure(Contributions::Total))?,
options,
non_volatile_components.clone(),
);
if vle.is_ok() {
return vle;
}
}
let (init1, init2) = PhaseEquilibrium::vle_init_stability(self)?;
let vle = self.tp_flash_(init1, options, non_volatile_components.clone());
if vle.is_ok() {
return vle;
}
if let Some(init2) = init2 {
self.tp_flash_(init2, options, non_volatile_components)
} else {
vle
}
}
pub fn tp_flash_(
&self,
mut new_vle_state: PhaseEquilibrium<E, 2>,
options: SolverOptions,
non_volatile_components: Option<Vec<usize>>,
) -> FeosResult<PhaseEquilibrium<E, 2>> {
let (max_iter, tol, verbosity) = options.unwrap_or(MAX_ITER_TP, TOL_TP);
log_iter!(
verbosity,
" iter | residual | phase I mole fractions | phase II mole fractions "
);
log_iter!(verbosity, "{:-<77}", "");
log_iter!(
verbosity,
" {:4} | | {:10.8?} | {:10.8?}",
0,
new_vle_state.vapor().molefracs.data.as_vec(),
new_vle_state.liquid().molefracs.data.as_vec(),
);
let mut iter = 0;
if non_volatile_components.is_none() {
new_vle_state.successive_substitution(
self,
3,
&mut iter,
&mut None,
tol,
verbosity,
&non_volatile_components,
)?;
let beta = new_vle_state.vapor_phase_fraction();
let tpd = [
self.tangent_plane_distance(new_vle_state.vapor()),
self.tangent_plane_distance(new_vle_state.liquid()),
];
let dg = (1.0 - beta) * tpd[1] + beta * tpd[0];
if tpd[0] < 0.0 && dg >= 0.0 {
let mut k = (self.ln_phi() - new_vle_state.vapor().ln_phi()).map(f64::exp);
if let Some(nvc) = non_volatile_components.as_ref() {
nvc.iter().for_each(|&c| k[c] = 0.0);
}
new_vle_state.update_states(self, &k)?;
new_vle_state.successive_substitution(
self,
1,
&mut iter,
&mut None,
tol,
verbosity,
&non_volatile_components,
)?;
}
if tpd[1] < 0.0 && dg >= 0.0 {
let mut k = (new_vle_state.liquid().ln_phi() - self.ln_phi()).map(f64::exp);
if let Some(nvc) = non_volatile_components.as_ref() {
nvc.iter().for_each(|&c| k[c] = 0.0);
}
new_vle_state.update_states(self, &k)?;
new_vle_state.successive_substitution(
self,
1,
&mut iter,
&mut None,
tol,
verbosity,
&non_volatile_components,
)?;
}
}
new_vle_state.accelerated_successive_substitution(
self,
&mut iter,
max_iter,
tol,
verbosity,
&non_volatile_components,
)?;
Ok(new_vle_state)
}
fn tangent_plane_distance(&self, trial_state: &State<E>) -> f64 {
let ln_phi_z = self.ln_phi();
let ln_phi_w = trial_state.ln_phi();
let z = &self.molefracs;
let w = &trial_state.molefracs;
w.dot(&(w.map(f64::ln) + ln_phi_w - z.map(f64::ln) - ln_phi_z))
}
}
impl<E: Residual> PhaseEquilibrium<E, 2> {
fn accelerated_successive_substitution(
&mut self,
feed_state: &State<E>,
iter: &mut usize,
max_iter: usize,
tol: f64,
verbosity: Verbosity,
non_volatile_components: &Option<Vec<usize>>,
) -> FeosResult<()> {
for _ in 0..max_iter {
let mut k_vec = Matrix4xX::zeros(self.vapor().eos.components());
if self.successive_substitution(
feed_state,
5,
iter,
&mut Some(&mut k_vec),
tol,
verbosity,
non_volatile_components,
)? {
log_result!(
verbosity,
"Tp flash: calculation converged in {} step(s)\n",
iter
);
return Ok(());
}
let gibbs = self.total_gibbs_energy();
let delta_vec = k_vec.rows_range(1..) - k_vec.rows_range(..3);
let delta = Matrix3::from_fn(|i, j| delta_vec.row(i).dot(&delta_vec.row(j)));
let d = delta[(0, 1)] * delta[(0, 1)] - delta[(0, 0)] * delta[(1, 1)];
let a = (delta[(0, 2)] * delta[(0, 1)] - delta[(1, 2)] * delta[(0, 0)]) / d;
let b = (delta[(1, 2)] * delta[(0, 1)] - delta[(0, 2)] * delta[(1, 1)]) / d;
let mut k = (k_vec.row(3)
+ ((b * delta_vec.row(1) + (a + b) * delta_vec.row(2)) / (1.0 - a - b)))
.map(f64::exp)
.transpose();
if let Some(nvc) = non_volatile_components.as_ref() {
nvc.iter().for_each(|&c| k[c] = 0.0);
}
if !k.iter().all(|i| i.is_finite()) {
continue;
}
let mut trial_vle_state = self.clone();
trial_vle_state.update_states(feed_state, &k)?;
if trial_vle_state.total_gibbs_energy() < gibbs {
*self = trial_vle_state;
}
}
Err(FeosError::NotConverged("TP flash".to_owned()))
}
#[expect(clippy::too_many_arguments)]
fn successive_substitution(
&mut self,
feed_state: &State<E>,
iterations: usize,
iter: &mut usize,
k_vec: &mut Option<&mut Matrix4xX<f64>>,
abs_tol: f64,
verbosity: Verbosity,
non_volatile_components: &Option<Vec<usize>>,
) -> FeosResult<bool> {
for i in 0..iterations {
let ln_phi_v = self.vapor().ln_phi();
let ln_phi_l = self.liquid().ln_phi();
let mut k = (&ln_phi_l - &ln_phi_v).map(f64::exp);
if let Some(nvc) = non_volatile_components.as_ref() {
nvc.iter().for_each(|&c| k[c] = 0.0);
}
*iter += 1;
let mut res_vec = k.component_mul(&self.liquid().molefracs) - &self.vapor().molefracs;
if let Some(nvc) = non_volatile_components.as_ref() {
nvc.iter().for_each(|&c| res_vec[c] = 0.0);
}
let res = res_vec.norm();
log_iter!(
verbosity,
" {:4} | {:14.8e} | {:.8?} | {:.8?}",
iter,
res,
self.vapor().molefracs.data.as_vec(),
self.liquid().molefracs.data.as_vec(),
);
if res < abs_tol {
return Ok(true);
}
self.update_states(feed_state, &k)?;
if let Some(k_vec) = k_vec
&& i >= iterations - 3
{
k_vec.set_row(
i + 3 - iterations,
&k.map(|ki| if ki > 0.0 { ki.ln() } else { 0.0 }).transpose(),
);
}
}
Ok(false)
}
fn update_states(&mut self, feed_state: &State<E>, k: &DVector<f64>) -> FeosResult<()> {
let mut beta = self.vapor_phase_fraction();
beta = rachford_rice(&feed_state.molefracs, k, Some(beta))?;
let v = feed_state.moles.clone().component_mul(&Dimensionless::new(
k.map(|k| beta * k / (1.0 - beta + beta * k)),
));
let l = feed_state.moles.clone().component_mul(&Dimensionless::new(
k.map(|k| (1.0 - beta) / (1.0 - beta + beta * k)),
));
self.update_moles(feed_state.pressure(Contributions::Total), [&v, &l])?;
Ok(())
}
fn vle_init_stability(feed_state: &State<E>) -> FeosResult<(Self, Option<Self>)> {
let mut stable_states = feed_state.stability_analysis(SolverOptions::default())?;
let state1 = stable_states.pop();
let state2 = stable_states.pop();
if let Some(s1) = state1 {
let init1 = Self::from_states(s1.clone(), feed_state.clone());
if let Some(s2) = state2 {
Ok((Self::from_states(s1, s2), Some(init1)))
} else {
Ok((init1, None))
}
} else {
Err(FeosError::NoPhaseSplit)
}
}
}
fn rachford_rice(feed: &DVector<f64>, k: &DVector<f64>, beta_in: Option<f64>) -> FeosResult<f64> {
const MAX_ITER: usize = 10;
const ABS_TOL: f64 = 1e-6;
let (mut beta_min, mut beta_max) = if feed.dot(k) > 1.0
&& feed
.component_div(k)
.iter()
.filter(|x| !x.is_nan())
.sum::<f64>()
> 1.0
{
(0.0, 1.0)
} else {
return Err(FeosError::IterationFailed(String::from("rachford_rice")));
};
for (&k, &f) in k.iter().zip(feed.iter()) {
if k > 1.0 {
let b = (k * f - 1.0) / (k - 1.0);
if b > beta_min {
beta_min = b;
}
}
if k < 1.0 {
let b = (1.0 - f) / (1.0 - k);
if b < beta_max {
beta_max = b;
}
}
}
let mut beta = 0.5 * (beta_min + beta_max);
if let Some(b) = beta_in
&& b > beta_min
&& b < beta_max
{
beta = b;
}
let g = feed.dot(&k.map(|k| (k - 1.0) / (1.0 - beta + beta * k)));
if g > 0.0 {
beta_min = beta
} else {
beta_max = beta
}
for _ in 0..MAX_ITER {
let (g, dg) = first_derivative(
|beta| {
let frac = k.map(|k| (-beta + beta * k + 1.0).recip() * (k - 1.0));
feed.map(Dual::from).dot(&frac)
},
beta,
);
if g > 0.0 {
beta_min = beta;
} else {
beta_max = beta;
}
let dbeta = g / dg;
beta -= dbeta;
if beta < beta_min || beta > beta_max {
beta = 0.5 * (beta_min + beta_max);
}
if dbeta.abs() < ABS_TOL {
return Ok(beta);
}
}
Ok(beta)
}