Entropyk/bindings/python/examples/simple_cycle.py

150 lines
4.7 KiB
Python

"""Entropyk — Simple Refrigeration Cycle Example.
This example demonstrates how to use the Python bindings to build and
(eventually) solve a simple vapor-compression refrigeration cycle:
Compressor → Condenser → Expansion Valve → Evaporator → (loop)
Usage:
python examples/simple_cycle.py
"""
import entropyk
# ── Step 1: Create physical components ──────────────────────────────────
print("=" * 60)
print(" Entropyk — Simple Refrigeration Cycle")
print("=" * 60)
# Compressor with AHRI 540 coefficients (using defaults)
compressor = entropyk.Compressor(
speed_rpm=2900.0,
displacement=0.0001,
efficiency=0.85,
fluid="R134a",
)
print(f"\n {compressor}")
# Condenser coil: UA = 5 kW/K
condenser = entropyk.Condenser(ua=5000.0)
print(f" {condenser}")
# Thermostatic expansion valve
expansion_valve = entropyk.ExpansionValve(fluid="R134a", opening=0.8)
print(f" {expansion_valve}")
# Evaporator coil: UA = 3 kW/K
evaporator = entropyk.Evaporator(ua=3000.0)
print(f" {evaporator}")
# ── Step 2: Build the system graph ──────────────────────────────────────
print("\n---")
print(" Building system graph...")
system = entropyk.System()
# Add components — returns node indices
comp_idx = system.add_component(compressor)
cond_idx = system.add_component(condenser)
exv_idx = system.add_component(expansion_valve)
evap_idx = system.add_component(evaporator)
# Connect them in a cycle
system.add_edge(comp_idx, cond_idx) # Compressor → Condenser
system.add_edge(cond_idx, exv_idx) # Condenser → EXV
system.add_edge(exv_idx, evap_idx) # EXV → Evaporator
system.add_edge(evap_idx, comp_idx) # Evaporator → Compressor (loop)
print(f" {system}")
# ── Step 3: Finalize the system ─────────────────────────────────────────
print(" Finalizing system topology...")
system.finalize()
print(f" State vector length: {system.state_vector_len}")
# ── Step 4: Configure solver ────────────────────────────────────────────
print("\n---")
print(" Configuring solver...")
# Newton-Raphson solver with line search
newton = entropyk.NewtonConfig(
max_iterations=200,
tolerance=1e-6,
line_search=True,
timeout_ms=10000,
)
print(f" {newton}")
# Picard solver for backup
picard = entropyk.PicardConfig(
max_iterations=500,
tolerance=1e-4,
relaxation=0.5,
)
print(f" {picard}")
# Fallback: try Newton first, fall back to Picard
fallback = entropyk.FallbackConfig(newton=newton, picard=picard)
print(f" {fallback}")
# ── Step 5: Solve ───────────────────────────────────────────────────────
print("\n---")
print(" Solving... (requires real component implementations)")
print(" NOTE: SimpleAdapter placeholders will produce trivial solutions.")
try:
result = fallback.solve(system)
print(f"\n ✅ Solution found!")
print(f" Status: {result.status}")
print(f" Iterations: {result.iterations}")
print(f" Residual: {result.final_residual:.2e}")
print(f" State vector ({len(result.state_vector)} vars): "
f"{result.state_vector[:6]}...")
except entropyk.SolverError as e:
print(f"\n ❌ Solver error: {e}")
except entropyk.EntropykError as e:
print(f"\n ❌ Entropyk error: {e}")
# ── Working with physical types ─────────────────────────────────────────
print("\n---")
print(" Physical types demo:")
p = entropyk.Pressure(bar=12.0)
print(f" {p}")
print(f" = {p.to_pascals():.0f} Pa")
print(f" = {p.to_kpa():.1f} kPa")
print(f" = {p.to_bar():.2f} bar")
print(f" float(p) = {float(p)}")
t = entropyk.Temperature(celsius=45.0)
print(f" {t}")
print(f" = {t.to_kelvin():.2f} K")
print(f" = {t.to_celsius():.2f} °C")
print(f" = {t.to_fahrenheit():.2f} °F")
h = entropyk.Enthalpy(kj_per_kg=420.0)
print(f" {h}")
print(f" = {h.to_j_per_kg():.0f} J/kg")
print(f" = {h.to_kj_per_kg():.1f} kJ/kg")
m = entropyk.MassFlow(kg_per_s=0.05)
print(f" {m}")
print(f" = {m.to_kg_per_s():.3f} kg/s")
print(f" = {m.to_g_per_s():.1f} g/s")
# Arithmetic
p1 = entropyk.Pressure(bar=10.0)
p2 = entropyk.Pressure(bar=2.0)
print(f"\n Arithmetic: {p1} + {p2} = {p1 + p2}")
print(f" {p1} - {p2} = {p1 - p2}")
print("\n" + "=" * 60)
print(" Done!")
print("=" * 60)