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electricalwith-tool

Roadside Cabinet Flood Heat Backup Energy Package

Calculates task-owned synthetic SSC-01 cabinet flood freeboard, thermal derating, backup battery/BESS, feeder voltage-drop, and lighting AECI metrics.

with-tool: The model is given an executable Python calculator script.

Standards

battery sizinglighting energy workflowroadside cabinet design

Tags

batterycabinetdeterministicelectricalfloodheatroad

How this task is generated

One template produces many comparable benchmark tasks while keeping the scoring contract fixed.

  1. 01

    Template

    The reusable contract shown on this page.

  2. 02

    Scenario

    An archetype and site context are sampled.

  3. 03

    Difficulty tier

    Inputs may be hidden at harder tiers.

  4. 04

    Task prompt

    The model responds with the declared outputs.

Parameters

Inputs the model receives, and the outputs it is scored on.

Inputs

21 inputs

Always given

Included directly in every task prompt.

21
Show 21 inputs

  • Cabinet pad level

    cabinet_pad_level_m

    CAB-SSC01-007 cabinet pad level

    42.7 m

  • Hgl level

    hgl_level_m

    HGL-SSC01-007 HGL level

    42.28 m

  • Inundation level

    inundation_level_m

    HGL-SSC01-007 event inundation level

    42.34 m

  • Minimum freeboard

    minimum_freeboard_m

    MEMO-SSC01-007 minimum cabinet freeboard

    0.25 m

  • Enclosure capacity w at reference temp

    enclosure_capacity_w_at_reference_temp

    HEAT-SSC01-007 enclosure capacity at reference temperature

    900 W

  • Reference temperature

    reference_temperature_c

    HEAT-SSC01-007 reference temperature

    25 C

  • Event temperature

    event_temperature_c

    HEAT-SSC01-007 heat event temperature

    45 C

  • Derate pct per

    derate_pct_per_c

    HEAT-SSC01-007 capacity derating rate above reference temperature

    1.5 %/C

  • Critical load

    critical_load_w

    LOAD-SSC01-007 selected critical cabinet load

    520 W

  • Battery capacity

    battery_capacity_kwh

    BATT-SSC01-007 battery capacity

    6.5 kWh

  • Battery efficiency

    battery_efficiency

    BATT-SSC01-007 battery efficiency

    0.9

  • Required backup

    required_backup_h

    MEMO-SSC01-007 required backup duration

    6 h

  • Bess inverter capacity

    bess_inverter_capacity_kw

    BATT-SSC01-007 BESS inverter capacity

    1.2 kW

  • Feeder length

    feeder_length_km

    LOAD-SSC01-007 feeder length

    0.16 km

  • Conductor resistance

    conductor_resistance_ohm_km

    LOAD-SSC01-007 conductor resistance

    0.62 ohm/km

  • Feeder voltage

    feeder_voltage_v

    LOAD-SSC01-007 feeder voltage

    230 V

  • Power factor

    power_factor

    LOAD-SSC01-007 load power factor

    0.95

  • Allowable voltage drop pct

    allowable_voltage_drop_pct

    LOAD-SSC01-007 allowable voltage drop

    5 %

  • Road lighting power

    road_lighting_power_w

    LOAD-SSC01-007 selected road lighting power

    420 W

  • Annual operating hours

    annual_operating_hours

    LOAD-SSC01-007 annual lighting operating hours

    4100 h/y

  • Lit area

    lit_area_m2

    LOAD-SSC01-007 lit road area

    1250 m2

Scored outputs

13 outputs

Cabinet freeboard

cabinet_freeboard_m

Cabinet pad freeboard above controlling water level

Scores if within ±3% of the reference value.

Flood freeboard margin

flood_freeboard_margin_m

Cabinet freeboard minus required freeboard

Scores if within ±3% of the reference value.

Thermal derated capacity w

thermal_derated_capacity_w

Thermally derated enclosure load capacity

Scores if within ±50% of the reference value.

Thermal margin w

thermal_margin_w

Thermally derated capacity minus critical load

Scores if within ±50% of the reference value.

Thermal utilization

thermal_utilization

Critical load divided by thermally derated capacity

Scores if within ±3% of the reference value.

Battery runtime h

battery_runtime_h

Battery runtime for the selected critical load

Scores if within ±3% of the reference value.

Battery margin h

battery_margin_h

Battery runtime minus required backup duration

Scores if within ±3% of the reference value.

Bess power margin

bess_power_margin_kw

BESS inverter capacity minus critical load

Scores if within ±3% of the reference value.

Bess energy margin kwh

bess_energy_margin_kwh

Usable battery energy minus required backup energy

Scores if within ±3% of the reference value.

Feeder voltage drop

feeder_voltage_drop_percent

Feeder voltage drop at the selected cabinet load

Scores if within ±3% of the reference value.

Voltage drop margin

voltage_drop_margin_percent

Allowable voltage drop minus computed voltage drop

Scores if within ±3% of the reference value.

Road lighting aeci kwh m2 y

road_lighting_aeci_kwh_m2_y

Road-lighting annual energy consumption indicator

Scores if within ±3% of the reference value.

Overall pass score

overall_pass_score

1.0 when flood, heat, backup, and feeder checks pass

Scores if within ±1% of the reference value.

Difficulty

Each template is sampled at three tiers. Harder tiers may hide inputs, forcing the model to infer them from the scenario description.

All inputs remain visible at every tier

For this template, difficulty scales through parameter and scenario ranges rather than hidden information.

easy:
All source-pack values visible
medium:
Same deterministic source-pack values with package-level aggregation
hard:
Same deterministic source-pack values with cross-discipline handoff checks

Task bundle

The exact instruction and parameter contract used to generate this task, pinned to the published library source.

/workspace

  • instruction.md
  • roadside-cabinet-flood-heat-backup-energy-package_calc.py

Teal lines show Jinja input conditions, not task visibility policy. A line renders only when that input or tool is visible.

1You are a roadside electrical resilience engineer checking a task-owned synthetic SSC-01 cabinet flood, heat, and backup energy package.2 3Use only the task-owned synthetic source pack values below for numeric grading. Cabinet siting, drainage HGL, thermal derating, feeder, and battery/BESS workflows shape the context only; they are not extra data sources for this instance.4 5## Scene6 7- Product: `SSC-01-LH-07`8- Cabinet setout: `CAB-SSC01-007`9- HGL or inundation table: `HGL-SSC01-007`10- Heat derating note: `HEAT-SSC01-007`11- Critical load schedule: `LOAD-SSC01-007`12- Battery schedule: `BATT-SSC01-007`13- Resilience memo: `MEMO-SSC01-007`14 15## Source Values16 17- Cabinet pad, HGL, and inundation levels: {{ cabinet_pad_level_m }} m, {{ hgl_level_m }} m, {{ inundation_level_m }} m18- Minimum freeboard: {{ minimum_freeboard_m }} m19- Enclosure capacity at reference temperature: {{ enclosure_capacity_w_at_reference_temp }} W at {{ reference_temperature_c }} C20- Event temperature and derating rate: {{ event_temperature_c }} C and {{ derate_pct_per_c }} % per C21- Critical load: {{ critical_load_w }} W22- Battery capacity, efficiency, and required backup duration: {{ battery_capacity_kwh }} kWh, {{ battery_efficiency }}, {{ required_backup_h }} h23- BESS inverter capacity: {{ bess_inverter_capacity_kw }} kW24- Feeder length, resistance, voltage, power factor, and voltage-drop limit: {{ feeder_length_km }} km, {{ conductor_resistance_ohm_km }} ohm/km, {{ feeder_voltage_v }} V, {{ power_factor }}, {{ allowable_voltage_drop_pct }} %25- Road lighting power, annual hours, and lit area: {{ road_lighting_power_w }} W, {{ annual_operating_hours }} h/y, {{ lit_area_m2 }} m226 27## Required Calculations28 29- Cabinet freeboard is pad level minus the greater of HGL and inundation level.30- Flood freeboard margin is cabinet freeboard minus minimum freeboard.31- Thermal derated capacity is reference capacity times the temperature derating factor.32- Battery runtime is `capacity x efficiency / (critical load / 1000)`.33- BESS energy margin is usable battery energy minus required backup energy.34- Feeder voltage drop is `2 x length x resistance x current / voltage x 100`.35- Road-lighting AECI is annual lighting energy divided by lit area.36- Overall pass score is `1.0` only when flood, thermal, battery/BESS, and voltage-drop margins pass.37 38Write a compact memo to `/workspace/output.md`. Include a source-boundary statement that this is a task-owned synthetic source pack. Preserve the source IDs above and state that the baseline source pack passes the current synthetic checks.39 40Do not claim authority approval, accepted project evidence, software export validity, full standards compliance, executable source-pack hardening, generated benchmark readiness, or benchmark readiness.41 42Include a fenced JSON block with exactly these numeric keys:43 44```json45{46 "cabinet_freeboard_m": <numeric_value>,47 "flood_freeboard_margin_m": <numeric_value>,48 "thermal_derated_capacity_w": <numeric_value>,49 "thermal_margin_w": <numeric_value>,50 "thermal_utilization": <numeric_value>,51 "battery_runtime_h": <numeric_value>,52 "battery_margin_h": <numeric_value>,53 "bess_power_margin_kw": <numeric_value>,54 "bess_energy_margin_kwh": <numeric_value>,55 "feeder_voltage_drop_percent": <numeric_value>,56 "voltage_drop_margin_percent": <numeric_value>,57 "road_lighting_aeci_kwh_m2_y": <numeric_value>,58 "overall_pass_score": <numeric_value>59}60```61

Scenario archetypes

Each generated task is drawn from one of these realistic scenario bands.

Site contexts ground each scenario in a real locale the model can use to infer hidden values.

Ssc01 cabinet flood heat energy

ssc01_cabinet_flood_heat_energy

SSC-01 task-owned synthetic roadside cabinet flood heat backup energy package

roadside-cabinet-flood-heat-backup-energy
Parameter ranges

Example task

roadside-cabinet-flood-heat-backup-energy-ssc01-cabinet-flood-heat-energy-preview — hard difficulty, all inputs given.

SSC-01 task-owned synthetic roadside cabinet flood heat backup energy package. roadside-cabinet-flood-heat-backup-energy. Required outputs: cabinet_freeboard_m, flood_freeboard_margin_m, thermal_derated_capacity_w, thermal_margin_w, thermal_utilization, battery_runtime_h

The model sees

Scenario context and visible inputs.

cabinet_pad_level_m
42.7 to 42.7 m
hgl_level_m
42.28 to 42.28 m
inundation_level_m
42.34 to 42.34 m
minimum_freeboard_m
0.25 to 0.25 m
enclosure_capacity_w_at_reference_temp
900 to 900 W
reference_temperature_c
25 to 25 C
event_temperature_c
45 to 45 C
derate_pct_per_c
1.5 to 1.5 %/C
critical_load_w
520 to 520 W
battery_capacity_kwh
6.5 to 6.5 kWh
battery_efficiency
0.9 to 0.9
required_backup_h
6 to 6 h
bess_inverter_capacity_kw
1.2 to 1.2 kW
feeder_length_km
0.16 to 0.16 km
conductor_resistance_ohm_km
0.62 to 0.62 ohm/km
feeder_voltage_v
230 to 230 V
power_factor
0.95 to 0.95
allowable_voltage_drop_pct
5 to 5 %
road_lighting_power_w
420 to 420 W
annual_operating_hours
4100 to 4100 h/y
lit_area_m2
1250 to 1250 m2

Executable tool: roadside-cabinet-flood-heat-backup-energy-package_calc.py

The model must infer

Inputs withheld at this difficulty.

Nothing. All inputs are supplied.

The model must produce

The scored JSON answer schema.

{
  "cabinet_freeboard_m": <number>,
  "flood_freeboard_margin_m": <number>,
  "thermal_derated_capacity_w": <number>,
  "thermal_margin_w": <number>,
  "thermal_utilization": <number>,
  "battery_runtime_h": <number>,
  "battery_margin_h": <number>,
  "bess_power_margin_kw": <number>,
  "bess_energy_margin_kwh": <number>,
  "feeder_voltage_drop_percent": <number>,
  "voltage_drop_margin_percent": <number>,
  "road_lighting_aeci_kwh_m2_y": <number>,
  "overall_pass_score": <number>
}
  • cabinet_freeboard_m · scored within ±3%
  • flood_freeboard_margin_m · scored within ±3%
  • thermal_derated_capacity_w · scored within ±50%
  • thermal_margin_w · scored within ±50%
  • thermal_utilization · scored within ±3%
  • battery_runtime_h · scored within ±3%
  • battery_margin_h · scored within ±3%
  • bess_power_margin_kw · scored within ±3%
  • bess_energy_margin_kwh · scored within ±3%
  • feeder_voltage_drop_percent · scored within ±3%
  • voltage_drop_margin_percent · scored within ±3%
  • road_lighting_aeci_kwh_m2_y · scored within ±3%
  • overall_pass_score · scored within ±1%