"""
## GAMSSOURCE: https://www.gams.com/latest/noalib_ml/libhtml/noalib_heatex3.html
## LICENSETYPE: Demo
## MODELTYPE: NLP
Optimal Design of Network of Heat Exchangers in Parallel (with Recirculation) with Two Hot Streams and One Cold Stream
Design of a network of heat exchangers in parallel (with recirculation)
with two hot streams and one cold stream.
Floudas, C.A., Pardalos, P.M., et al. "Handbook of Test Problems in
Local and Global Optimization".
Kluwer Academic Publishers, Dordrecht, 1999.
Section 5.4.3. Test Problem 2, pages 52-54.
"""
from __future__ import annotations
import os
from gamspy import Container, Equation, Model, Parameter, Variable
def main():
m = Container(
system_directory=os.getenv("SYSTEM_DIRECTORY", None),
)
# SCALARS #
Tcin = Parameter(
m,
name="Tcin",
records=150,
description="inlet temperature of cold stream",
)
Tcout = Parameter(
m,
name="Tcout",
records=310,
description="outlet temperature of cold stream",
)
# VARIABLES #
dT11 = Variable(
m,
name="dT11",
description="temperature difference at hot end of exchanger H1-",
)
dT12 = Variable(
m,
name="dT12",
description="temperature difference at cold end of exchanger H1-",
)
dT21 = Variable(
m,
name="dT21",
description="temperature difference at hot end of exchanger H2-C",
)
dT22 = Variable(
m,
name="dT22",
description="temperature difference at cold end of exchanger H2-C",
)
f11 = Variable(m, name="f11")
f12 = Variable(m, name="f12")
f13 = Variable(m, name="f13")
f14 = Variable(m, name="f14")
f21 = Variable(m, name="f21")
f22 = Variable(m, name="f22")
f23 = Variable(m, name="f23")
f24 = Variable(m, name="f24")
t1i = Variable(m, name="t1i")
t2i = Variable(m, name="t2i")
t1o = Variable(m, name="t1o")
t2o = Variable(m, name="t2o")
# EQUATIONS #
g1 = Equation(m, name="g1", type="regular")
g2 = Equation(m, name="g2", type="regular")
g3 = Equation(m, name="g3", type="regular")
g4 = Equation(m, name="g4", type="regular")
g5 = Equation(m, name="g5", type="regular")
g6 = Equation(m, name="g6", type="regular")
g7 = Equation(m, name="g7", type="regular")
g8 = Equation(m, name="g8", type="regular")
g9 = Equation(m, name="g9", type="regular")
g10 = Equation(m, name="g10", type="regular")
g11 = Equation(m, name="g11", type="regular")
g12 = Equation(m, name="g12", type="regular")
g13 = Equation(m, name="g13", type="regular")
# Objective function:
objval = (
1300
* (1000 / ((1 / 30) * (dT11 * dT12) + (1 / 6) * (dT11 + dT12))) ** 0.6
+ 1300
* (600 / ((1 / 30) * (dT21 * dT22) + (1 / 6) * (dT21 + dT22))) ** 0.6
)
# Constraints:
g1[...] = f11 + f21 == 10
g2[...] = f11 + f23 - f12 == 0
g3[...] = f21 + f13 - f22 == 0
g4[...] = f14 + f13 - f12 == 0
g5[...] = f24 + f23 - f22 == 0
g6[...] = Tcin * f11 + t2o * f23 - t1i * f12 == 0
g7[...] = Tcin * f21 + t1o * f13 - t2i * f22 == 0
g8[...] = f12 * (t1o - t1i) == 1000
g9[...] = f22 * (t2o - t2i) == 600
g10[...] = dT11 + t1o == 500
g11[...] = dT12 + t1i == 250
g12[...] = dT21 + t2o == 350
g13[...] = dT22 + t2i == 200
# Bounds on variables:
dT11.lo[...] = 10
dT11.up[...] = 350
dT12.lo[...] = 10
dT12.up[...] = 350
dT21.lo[...] = 10
dT21.up[...] = 200
dT22.lo[...] = 10
dT22.up[...] = 200
f11.lo[...] = 0
f11.up[...] = 10
f12.lo[...] = 0
f12.up[...] = 10
f13.lo[...] = 0
f13.up[...] = 10
f14.lo[...] = 0
f14.up[...] = 10
f21.lo[...] = 0
f21.up[...] = 10
f22.lo[...] = 0
f22.up[...] = 10
f23.lo[...] = 0
f23.up[...] = 10
f24.lo[...] = 0
f24.up[...] = 10
t1i.lo[...] = 150
t1i.up[...] = Tcout
t1o.lo[...] = 150
t1o.up[...] = Tcout
t2i.lo[...] = 150
t2i.up[...] = Tcout
t2o.lo[...] = 150
t2o.up[...] = Tcout
# Initial point:
dT11.l[...] = 200
dT12.l[...] = 50
dT21.l[...] = 150
dT22.l[...] = 50
f11.l[...] = 10
f12.l[...] = 10
f13.l[...] = 10
f14.l[...] = 10
f21.l[...] = 10
f22.l[...] = 10
f23.l[...] = 10
f24.l[...] = 10
t1i.l[...] = 200
t1o.l[...] = 100
t2i.l[...] = 300
t2o.l[...] = 200
HeatEx3 = Model(
m,
name="HeatEx3",
equations=m.getEquations(),
problem="nlp",
sense="MIN",
objective=objval,
)
HeatEx3.solve()
import math
assert math.isclose(HeatEx3.objective_value, 4845.4620, rel_tol=0.001)
print("Objective Function Variable: ", HeatEx3.objective_value)
# End HeatEx3
if __name__ == "__main__":
main()
