FAILURE MAP
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FA-93561 / Solar tracker geometry / Open access

Fixed-tilt row pitch for a design sun: shadow length function · case 01

Row spacing is too tight and rows shade each other in winter.

Verified by executionVariant 1 · 7 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

The shadow uses the sine of the elevation instead of the tangent.

VERIFIED REPAIR

Shadow length = height / tan(elevation).

Unsuccessful approach: Multiplying by cos(elevation) gives a length that shrinks as the sun gets lower.

Case contract

Rows of slant length length (mm) tilted by tilt degrees face row_az. The shadow reaches forward height*max(cos(sun_az - row_az), 0)/tan(sun_el). Minimum unshaded pitch = length*cos(tilt) + shadow. Return [pitch rounded 3, length/pitch rounded 4]; None when sun_el <= 0.

Why this case matters

Single-axis and dual-axis solar trackers turn a sun direction into actuator commands; a sign, frame or limit mistake points a whole plant away from the sun or into a mechanical stop.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json
import math
N = 1
observations = []
def solve(length, tilt, sun_el, sun_az, row_az):
    if sun_el <= 0:
        return None
    t = math.radians(tilt)
    rel = math.cos(math.radians(sun_az - row_az))
    depth = length * math.cos(t)
    height = length * math.sin(t)
    shadow = height * max(rel, 0.0) / math.sin(math.radians(sun_el))
    pitch = depth + shadow
    return [round(pitch, 3), round(length / pitch, 4)]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [2300, 25, 15, 250, 180], [3325.232, 0.6917]],
  ['regression: shadow length function (partial repair)', [2000, 25, 20, 225, 200],
   [3917.305, 0.5106]],
  ['control 1', [1700, 30, 30, 90, 200], [1472.243, 1.1547]],
  ['control 2', [1700, 30, 0, 90, 180], None]],
 [['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [2300, 10, 10, 100, 170], [3039.753, 0.7566]],
  ['regression: shadow length function (partial repair)', [2000, 30, 30, 135, 180],
   [2956.796, 0.6764]],
  ['control 1', [1700, 30, 0, 225, 170], None],
  ['control 2', [1700, 30, 20, 315, 0], [3123.589, 0.5442]]],
 [['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [2300, 35, 20, 200, 200], [5508.593, 0.4175]],
  ['regression: shadow length function (partial repair)', [1000, 30, 20, 60, 0], [1552.895, 0.644]],
  ['control 1', [2000, 0, -2, 315, 0], None], ['control 2', [2000, 30, 0, 30, 0], None]],
 [['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [2000, 10, 15, 200, 180], [3187.577, 0.6274]],
  ['regression: shadow length function (partial repair)', [1000, 25, 10, 135, 200],
   [1919.234, 0.521]],
  ['control 1', [2300, 35, 30, 60, 0], [3026.533, 0.7599]],
  ['control 2', [1000, 30, 20, 250, 180], [1335.872, 0.7486]]],
 [['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [1700, 10, 20, 100, 180], [1815.012, 0.9366]],
  ['regression: shadow length function (partial repair)', [2000, 20, 10, 100, 170],
   [3206.213, 0.6238]],
  ['control 1', [2000, 35, -2, 225, 170], None],
  ['control 2', [1700, 20, 20, 90, 170], [1874.877, 0.9067]]]]
for label, args, expected in fixtures[N-1]:
    check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
normal: winter noon design sun[5595.754, 0.3574][5464.102, 0.366]Failed
boundary: flat rows[2000.0, 1.0][2000.0, 1.0]Passed
boundary: sun behind the rows[1732.051, 1.1547][1732.051, 1.1547]Passed
regression: shadow length function[3369.0, 0.6827][3325.232, 0.6917]Failed
regression: shadow length function (partial repair)[4052.38, 0.4935][3917.305, 0.5106]Failed
control 1[1472.243, 1.1547][1472.243, 1.1547]Passed
control 2NoneNonePassed

SHA-256 / 4519eaef77ba10bb435eb274f661edce558ef79f80f34ea46f4746fc1d98ebaa

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json
import math
N = 1
observations = []
def solve(length, tilt, sun_el, sun_az, row_az):
    if sun_el <= 0:
        return None
    t = math.radians(tilt)
    rel = math.cos(math.radians(sun_az - row_az))
    depth = length * math.cos(t)
    height = length * math.sin(t)
    shadow = height * max(rel, 0.0) * math.cos(math.radians(sun_el))
    pitch = depth + shadow
    return [round(pitch, 3), round(length / pitch, 4)]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [2300, 25, 15, 250, 180], [3325.232, 0.6917]],
  ['regression: shadow length function (partial repair)', [2000, 25, 20, 225, 200],
   [3917.305, 0.5106]],
  ['control 1', [1700, 30, 30, 90, 200], [1472.243, 1.1547]],
  ['control 2', [1700, 30, 0, 90, 180], None]],
 [['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [2300, 10, 10, 100, 170], [3039.753, 0.7566]],
  ['regression: shadow length function (partial repair)', [2000, 30, 30, 135, 180],
   [2956.796, 0.6764]],
  ['control 1', [1700, 30, 0, 225, 170], None],
  ['control 2', [1700, 30, 20, 315, 0], [3123.589, 0.5442]]],
 [['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [2300, 35, 20, 200, 200], [5508.593, 0.4175]],
  ['regression: shadow length function (partial repair)', [1000, 30, 20, 60, 0], [1552.895, 0.644]],
  ['control 1', [2000, 0, -2, 315, 0], None], ['control 2', [2000, 30, 0, 30, 0], None]],
 [['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [2000, 10, 15, 200, 180], [3187.577, 0.6274]],
  ['regression: shadow length function (partial repair)', [1000, 25, 10, 135, 200],
   [1919.234, 0.521]],
  ['control 1', [2300, 35, 30, 60, 0], [3026.533, 0.7599]],
  ['control 2', [1000, 30, 20, 250, 180], [1335.872, 0.7486]]],
 [['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [1700, 10, 20, 100, 180], [1815.012, 0.9366]],
  ['regression: shadow length function (partial repair)', [2000, 20, 10, 100, 170],
   [3206.213, 0.6238]],
  ['control 1', [2000, 35, -2, 225, 170], None],
  ['control 2', [1700, 20, 20, 90, 170], [1874.877, 0.9067]]]]
for label, args, expected in fixtures[N-1]:
    check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
normal: winter noon design sun[2697.977, 0.7413][5464.102, 0.366]Failed
boundary: flat rows[2000.0, 1.0][2000.0, 1.0]Passed
boundary: sun behind the rows[1732.051, 1.1547][1732.051, 1.1547]Passed
regression: shadow length function[2405.631, 0.9561][3325.232, 0.6917]Failed
regression: shadow length function (partial repair)[2532.462, 0.7897][3917.305, 0.5106]Failed
control 1[1472.243, 1.1547][1472.243, 1.1547]Passed
control 2NoneNonePassed

SHA-256 / cd2e4497862181951e602a6524a5a6ca09f575ec13e91d39d32bbe80937fb8e9

3 / The verified repair

Exit 0
"""Failure Map reference implementation. Python standard library only."""
import json
import math
N = 1
observations = []
def solve(length, tilt, sun_el, sun_az, row_az):
    if sun_el <= 0:
        return None
    t = math.radians(tilt)
    rel = math.cos(math.radians(sun_az - row_az))
    depth = length * math.cos(t)
    height = length * math.sin(t)
    shadow = height * max(rel, 0.0) / math.tan(math.radians(sun_el))
    pitch = depth + shadow
    return [round(pitch, 3), round(length / pitch, 4)]
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [[['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [2300, 25, 15, 250, 180], [3325.232, 0.6917]],
  ['regression: shadow length function (partial repair)', [2000, 25, 20, 225, 200],
   [3917.305, 0.5106]],
  ['control 1', [1700, 30, 30, 90, 200], [1472.243, 1.1547]],
  ['control 2', [1700, 30, 0, 90, 180], None]],
 [['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [2300, 10, 10, 100, 170], [3039.753, 0.7566]],
  ['regression: shadow length function (partial repair)', [2000, 30, 30, 135, 180],
   [2956.796, 0.6764]],
  ['control 1', [1700, 30, 0, 225, 170], None],
  ['control 2', [1700, 30, 20, 315, 0], [3123.589, 0.5442]]],
 [['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [2300, 35, 20, 200, 200], [5508.593, 0.4175]],
  ['regression: shadow length function (partial repair)', [1000, 30, 20, 60, 0], [1552.895, 0.644]],
  ['control 1', [2000, 0, -2, 315, 0], None], ['control 2', [2000, 30, 0, 30, 0], None]],
 [['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [2000, 10, 15, 200, 180], [3187.577, 0.6274]],
  ['regression: shadow length function (partial repair)', [1000, 25, 10, 135, 200],
   [1919.234, 0.521]],
  ['control 1', [2300, 35, 30, 60, 0], [3026.533, 0.7599]],
  ['control 2', [1000, 30, 20, 250, 180], [1335.872, 0.7486]]],
 [['normal: winter noon design sun', [2000, 30, 15, 180, 180], [5464.102, 0.366]],
  ['boundary: flat rows', [2000, 0, 15, 180, 180], [2000.0, 1.0]],
  ['boundary: sun behind the rows', [2000, 30, 15, 0, 180], [1732.051, 1.1547]],
  ['regression: shadow length function', [1700, 10, 20, 100, 180], [1815.012, 0.9366]],
  ['regression: shadow length function (partial repair)', [2000, 20, 10, 100, 170],
   [3206.213, 0.6238]],
  ['control 1', [2000, 35, -2, 225, 170], None],
  ['control 2', [1700, 20, 20, 90, 170], [1874.877, 0.9067]]]]
for label, args, expected in fixtures[N-1]:
    check(label, solve(*args), expected)
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
normal: winter noon design sun[5464.102, 0.366][5464.102, 0.366]Passed
boundary: flat rows[2000.0, 1.0][2000.0, 1.0]Passed
boundary: sun behind the rows[1732.051, 1.1547][1732.051, 1.1547]Passed
regression: shadow length function[3325.232, 0.6917][3325.232, 0.6917]Passed
regression: shadow length function (partial repair)[3917.305, 0.5106][3917.305, 0.5106]Passed
control 1[1472.243, 1.1547][1472.243, 1.1547]Passed
control 2NoneNonePassed

SHA-256 / 8bd3ec1f09f679e07aa28756fe2b0b1baf8c50b772d4248347276a9b25dfefb9

Verification & scope

Deterministic stipulated toy contract for teaching; no claim of conformance with any standard, vendor protocol or production controller. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.

Observations recorded using Python 3.12.14 at 2026-09-29T14:51:56.237520+00:00.

Case digest / 05cc66a89e5c65f12ba4f67bf9d121bf03d1520b1d695b437a61a248670a1c24