def test_psychrometric_simple_2():
# Really simple, coarse tests
# Input values
Tdb_in = 40.0 + 273.15
w_in = 0.009
P = 101325.0
Tdb, w, phi, h, Tdp, v = psychrometrics.psychrometrics(Tdb_in, w_in, P)
#Tests for 40, 0.009, atmosphere
assert Tdb + 273.15 == pytest.approx(Tdb_in, True, 1e-14) # Tdb [C]
assert w == pytest.approx(w_in, 1e-14) # W [kgv/kga]
assert phi == pytest.approx(19.5, 1e-1) # RH [%}
assert h / 1000. == pytest.approx(63., 1) # Enthalpy [J/kga]
assert v == pytest.approx(0.9, 1e-1) # Spec. vol [m^3 kg-1]
def test_psychrometric_float_point():
# Input values
Tdb_in = 297.5311337413935
w_in = 0.018576773131376
P = 10090
Tdb, w, phi, h, Tdp, v = psychrometrics.psychrometrics(Tdb_in, w_in, P)
assert Tdb == pytest.approx(24.381133741393512, abs=1e-15) # dry bulb temperature [C]
assert w == pytest.approx(0.018576773131376, abs=1e-15) # Humidity ratio [kgv/kgd]
assert phi == pytest.approx(9.581555922752541, abs=1e-15) # Relative Humidity Pw/Pws*100
assert h == pytest.approx(7.183036653518451e+04, abs=1e-15) # enthalpy [J/kgd]
assert Tdp == pytest.approx(-10.012150181172135, abs=1e-15) # Wet bulb temp [C]
assert v == pytest.approx(8.717031296493113, abs=1e-15) # specific volume [m3/kga]s