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15b595e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 | """Tests for Phase 3: Advanced simulation features.
Covers:
- Single-axis and dual-axis tracking simulation
- Horizon shading model
- Inter-row shading for solar farms
- Bifacial panel gain estimation
- Rooftop suitability scoring (RooftopScorer)
"""
from __future__ import annotations
import numpy as np
import pytest
from solar_intelligence.data_loader import generate_synthetic_solar_data
from solar_intelligence.orientation_simulator import OrientationSimulator, RooftopScorer
@pytest.fixture
def dataset():
return generate_synthetic_solar_data(lat=28.6, lon=77.2, start_year=2023, end_year=2023)
@pytest.fixture
def ghi(dataset):
return dataset["ALLSKY_SFC_SW_DWN"].values
@pytest.fixture
def sim():
return OrientationSimulator(
latitude=28.6, longitude=77.2,
tilt_angles=[0, 30],
azimuths={"North": 0, "South": 180, "East": 90, "West": 270},
)
# ---------------------------------------------------------------------------
# Tracking Simulation Tests
# ---------------------------------------------------------------------------
class TestTrackingSimulation:
def test_single_axis_returns_dict(self, sim, ghi):
result = sim.simulate_tracking(ghi, mode="single_axis")
assert isinstance(result, dict)
assert "tracking_mode" in result
assert result["tracking_mode"] == "single_axis"
def test_single_axis_has_energy(self, sim, ghi):
result = sim.simulate_tracking(ghi, mode="single_axis")
assert result["annual_energy_kwh"] > 0
def test_single_axis_beats_fixed(self, sim, ghi):
result = sim.simulate_tracking(ghi, mode="single_axis")
assert result["gain_vs_fixed_pct"] > 0
def test_dual_axis_returns_dict(self, sim, ghi):
result = sim.simulate_tracking(ghi, mode="dual_axis")
assert result["tracking_mode"] == "dual_axis"
assert result["annual_energy_kwh"] > 0
def test_dual_axis_beats_single(self, sim, ghi):
single = sim.simulate_tracking(ghi, mode="single_axis")
dual = sim.simulate_tracking(ghi, mode="dual_axis")
# Dual axis should capture more or equal energy
assert dual["annual_energy_kwh"] >= single["annual_energy_kwh"] * 0.9
# ---------------------------------------------------------------------------
# Horizon Shading Tests
# ---------------------------------------------------------------------------
class TestHorizonShading:
def test_shading_returns_dict(self, sim, ghi):
result = sim.horizon_shading(ghi)
assert isinstance(result, dict)
assert "shading_loss_pct" in result
def test_shading_loss_positive(self, sim, ghi):
# Default profile has obstructions
result = sim.horizon_shading(ghi)
assert result["shading_loss_pct"] >= 0
def test_no_shading_with_flat_horizon(self, sim, ghi):
# Flat horizon = no obstructions
flat = {az: 0 for az in range(0, 360, 45)}
result = sim.horizon_shading(ghi, horizon_profile=flat)
assert result["shading_loss_pct"] == 0
def test_heavy_shading_high_loss(self, sim, ghi):
# High obstructions all around
heavy = {az: 40 for az in range(0, 360, 45)}
result = sim.horizon_shading(ghi, horizon_profile=heavy)
assert result["shading_loss_pct"] > 5
def test_shaded_energy_less_than_unshaded(self, sim, ghi):
result = sim.horizon_shading(ghi)
assert result["shaded_energy_kwh"] <= result["unshaded_energy_kwh"]
def test_daylight_hours_positive(self, sim, ghi):
result = sim.horizon_shading(ghi)
assert result["total_daylight_hours"] > 2000
# ---------------------------------------------------------------------------
# Inter-Row Shading Tests
# ---------------------------------------------------------------------------
class TestInterRowShading:
def test_inter_row_returns_dict(self, sim):
result = sim.inter_row_shading(tilt=30, row_spacing_ratio=2.0)
assert isinstance(result, dict)
def test_adequate_spacing_no_loss(self, sim):
result = sim.inter_row_shading(tilt=30, row_spacing_ratio=10.0)
assert result["shading_loss_pct"] == 0
assert result["current_spacing_adequate"] is True
def test_tight_spacing_has_loss(self, sim):
result = sim.inter_row_shading(tilt=30, row_spacing_ratio=0.5)
assert result["shading_loss_pct"] > 0
assert result["current_spacing_adequate"] is False
def test_min_spacing_positive(self, sim):
result = sim.inter_row_shading(tilt=30)
assert result["min_spacing_ratio"] > 0
def test_steeper_tilt_longer_shadow(self, sim):
shallow = sim.inter_row_shading(tilt=15)
steep = sim.inter_row_shading(tilt=60)
assert steep["shadow_length_ratio"] > shallow["shadow_length_ratio"]
# ---------------------------------------------------------------------------
# Bifacial Gain Tests
# ---------------------------------------------------------------------------
class TestBifacialGain:
def test_bifacial_returns_dict(self, sim, ghi):
result = sim.bifacial_gain(ghi, tilt=30)
assert isinstance(result, dict)
assert "bifacial_gain_pct" in result
def test_bifacial_gain_positive(self, sim, ghi):
result = sim.bifacial_gain(ghi, tilt=30)
assert result["bifacial_gain_pct"] > 0
def test_total_exceeds_front(self, sim, ghi):
result = sim.bifacial_gain(ghi, tilt=30)
assert result["total_energy_kwh"] > result["front_energy_kwh"]
def test_higher_tilt_more_rear(self, sim, ghi):
low_tilt = sim.bifacial_gain(ghi, tilt=10)
high_tilt = sim.bifacial_gain(ghi, tilt=45)
assert high_tilt["rear_irradiance_pct"] > low_tilt["rear_irradiance_pct"]
def test_higher_bifaciality_more_gain(self, sim, ghi):
low_bf = sim.bifacial_gain(ghi, tilt=30, bifaciality=0.50)
high_bf = sim.bifacial_gain(ghi, tilt=30, bifaciality=0.85)
assert high_bf["bifacial_gain_pct"] > low_bf["bifacial_gain_pct"]
def test_horizontal_zero_gain(self, sim, ghi):
result = sim.bifacial_gain(ghi, tilt=0)
# At 0 tilt, view factor is 0 -> no rear irradiance
assert result["bifacial_gain_pct"] == 0
# ---------------------------------------------------------------------------
# Rooftop Suitability Scorer Tests
# ---------------------------------------------------------------------------
class TestRooftopScorer:
def test_scorer_returns_dict(self):
scorer = RooftopScorer()
result = scorer.score(avg_daily_ghi=5.5, optimal_tilt=28, roof_tilt=30)
assert isinstance(result, dict)
assert "total_score" in result
assert "rating" in result
def test_score_range(self):
scorer = RooftopScorer()
result = scorer.score(avg_daily_ghi=5.5, optimal_tilt=28, roof_tilt=30)
assert 0 <= result["total_score"] <= 100
def test_excellent_location(self):
scorer = RooftopScorer()
result = scorer.score(
avg_daily_ghi=7.0, optimal_tilt=25, roof_tilt=25,
variability_index=0.08, avg_temperature=22,
)
assert result["rating"] == "Excellent"
assert result["total_score"] >= 80
def test_poor_location(self):
scorer = RooftopScorer()
result = scorer.score(
avg_daily_ghi=1.5, optimal_tilt=55, roof_tilt=10,
variability_index=0.35, avg_temperature=-5,
)
assert result["total_score"] < 40
def test_components_present(self):
scorer = RooftopScorer()
result = scorer.score(avg_daily_ghi=5.0, optimal_tilt=30, roof_tilt=30)
assert "solar_resource" in result["components"]
assert "tilt_match" in result["components"]
assert "climate_stability" in result["components"]
assert "temperature" in result["components"]
def test_weights_sum_to_one(self):
scorer = RooftopScorer()
result = scorer.score(avg_daily_ghi=5.0, optimal_tilt=30, roof_tilt=30)
weights = result["weights"]
total_weight = sum(weights.values())
assert abs(total_weight - 1.0) < 0.01
def test_tilt_mismatch_lowers_score(self):
scorer = RooftopScorer()
matched = scorer.score(avg_daily_ghi=5.5, optimal_tilt=30, roof_tilt=30)
mismatched = scorer.score(avg_daily_ghi=5.5, optimal_tilt=30, roof_tilt=80)
assert matched["total_score"] > mismatched["total_score"]
def test_recommendations_for_poor(self):
scorer = RooftopScorer()
result = scorer.score(
avg_daily_ghi=1.0, optimal_tilt=30, roof_tilt=80,
variability_index=0.45, avg_temperature=45,
)
assert len(result["recommendations"]) > 0
def test_no_recommendations_for_excellent(self):
scorer = RooftopScorer()
result = scorer.score(
avg_daily_ghi=7.0, optimal_tilt=25, roof_tilt=25,
variability_index=0.08, avg_temperature=22,
)
assert len(result["recommendations"]) == 0
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