Connected load mj h
connected_load_mj_h
Total connected gas load
Scores if within ±3% of the reference value.
Calculates connected and diversified gas demand from explicit appliance gas loads, quantities, and diversity factor. The template reports demand in MJ/h and kW.
with-tool: The model is given an executable Python calculator script.
Standards
One template produces many comparable benchmark tasks while keeping the scoring contract fixed.
01
The reusable contract shown on this page.
02
An archetype and site context are sampled.
03
Inputs may be hidden at harder tiers.
04
The model responds with the declared outputs.
Inputs the model receives, and the outputs it is scored on.
7 inputs
Included directly in every task prompt.
Appliance 1 load
appliance_1_load_mj_h
Gas load for first appliance group
Appliance 1 quantity
appliance_1_quantity
Quantity of first appliance group
Appliance 2 load
appliance_2_load_mj_h
Gas load for second appliance group
Appliance 2 quantity
appliance_2_quantity
Quantity of second appliance group
Appliance 3 load
appliance_3_load_mj_h
Gas load for third appliance group
Appliance 3 quantity
appliance_3_quantity
Quantity of third appliance group
Diversity factor
diversity_factor
Demand diversity factor
4 outputs
connected_load_mj_h
Total connected gas load
Scores if within ±3% of the reference value.
diversified_load_mj_h
Diversified gas load
Scores if within ±3% of the reference value.
connected_load_kw
Connected gas load in kilowatts
Scores if within ±3% of the reference value.
diversified_load_kw
Diversified gas load in kilowatts
Scores if within ±3% of the reference value.
Each template is sampled at three tiers. Harder tiers may hide inputs, forcing the model to infer them from the scenario description.
For this template, difficulty scales through parameter and scenario ranges rather than hidden information.
The exact instruction and parameter contract used to generate this task, pinned to the published library source.
/workspace
Teal lines show Jinja input conditions, not task visibility policy. A line renders only when that input or tool is visible.
1You are a senior mechanical engineer specializing in building gas services.2 3## Problem4 5Calculate connected and diversified gas load from explicit appliance loads and quantities.6 7## Given8 9| Parameter | Value | Unit |10|-----------|-------|------|11| Appliance 1 gas load | {{ appliance_1_load_mj_h }} | MJ/h |12| Appliance 1 quantity | {{ appliance_1_quantity }} | - |13| Appliance 2 gas load | {{ appliance_2_load_mj_h }} | MJ/h |14| Appliance 2 quantity | {{ appliance_2_quantity }} | - |15| Appliance 3 gas load | {{ appliance_3_load_mj_h }} | MJ/h |16| Appliance 3 quantity | {{ appliance_3_quantity }} | - |17| Diversity factor | {{ diversity_factor }} | - |18 19{% if archetype_description is defined %}20### Gas Services Context21 22{{ archetype_description }}23{% endif %}24 25{% if tool_available %}26## Available Tool27 28A gas load calculation tool is available at `/workspace/{{ meta.name }}_calc.py`. Run it with:29 30```bash31python3 /workspace/{{ meta.name }}_calc.py --help32```33 34You may use this tool to verify your calculations or compute values directly.35{% endif %}36 37## Required38 39Calculate the following:40 411. Connected gas load in MJ/h422. Diversified gas load in MJ/h433. Connected gas load in kW444. Diversified gas load in kW45 46## Constraints47 48- No internet access is available. Work from engineering knowledge and the provided tool.49- Use connected load = sum of each appliance load multiplied by its quantity.50- Use diversified load = connected load x diversity factor.51- Use 1 kW = 3.6 MJ/h.52 53## Output Format54 55Show your step-by-step working in Markdown. At the end of your solution, include a JSON block with your final answers in exactly this format:56 57```json58{59 "connected_load_mj_h": <numeric_value>,60 "diversified_load_mj_h": <numeric_value>,61 "connected_load_kw": <numeric_value>,62 "diversified_load_kw": <numeric_value>63}64```65 66Write your complete solution to `/workspace/output.md`.67 68 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.
commercial_kitchen
Commercial kitchen appliance gas load
plant_room
Plant room gas-fired equipment load
boiler-room-plant-room-preview — hard difficulty, all inputs given.
Plant room gas-fired equipment load. boiler-room. Required outputs: connected_load_mj_h, diversified_load_mj_h, connected_load_kw, diversified_load_kw
Scenario context and visible inputs.
Executable tool: gas-load-calculation_calc.py
Inputs withheld at this difficulty.
Nothing. All inputs are supplied.
The scored JSON answer schema.
{
"connected_load_mj_h": <number>,
"diversified_load_mj_h": <number>,
"connected_load_kw": <number>,
"diversified_load_kw": <number>
}