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Static Report Layout Sample — Food Plant Ammonia Exhaust Heat Recovery

Sample type
Static layout only (not a Live Demo Report)
Related Demo Project
DEMO-OTAI-001 (live tools)
Layout sample ID
LAYOUT-SAMPLE-FOOD-2026
Project name
Food plant ammonia refrigeration exhaust heat recovery (fictional)
Customer / company
Demonstration layout only
Country / industry
China · Food processing
Report date
2026-07-27
Report version
static-layout-sample-v2

Executive summary (fictional placeholders)

  • Feasibility (illustrative): Conditional — ammonia refrigeration discharge ~30 °C with 80 °C wash/sanitation hot water.
  • Recommended architecture (illustrative): mid-temp R717 heat pump coupled via evaporative-condenser interface.
  • Indicative COP band (placeholder): 3.5–4.0 at stated boundaries.
  • Annual energy-cost delta (placeholder): ~CNY 450,000 class vs natural-gas boiler assumptions.
  • Illustrative payback: ~2–3 y with ±15 % tariff sensitivity.
  • Missing for bankable design: seasonal refrigeration vs heat mismatch, ammonia safety envelope, backup boiler policy.

User inputs (demonstration placeholders)

ParameterValue
Source temperature30 °C
Target temperature80 °C
Heat load380 kW
Annual operating hours5,400 h
Comparison heat sourceNatural gas boiler
Electricity price0.70 CNY/kWh

Technical feasibility (illustrative)

Feasibility
Conditional
Architecture
Mid-temp ammonia HP + evaporative condenser coupling
Temperature lift
50 K
COP range
3.5 – 4.0

Economic analysis (illustrative)

Annual saving
~CNY 450,000
Illustrative CAPEX
~CNY 1,000,000
Payback
~2.3 y

Risks and uncertainties

  • Ammonia safety and plant-room access rules constrain where the HP can sit.
  • Seasonal refrigeration load vs wash-heat demand mismatch may force boiler backup hours.
  • Tariff and carbon policy changes dominate payback sensitivity.

Engineering disclaimer

This HTML file is a Static Report Layout Sample. Numbers are fictional placeholders for product education and print/layout review only. They are not Tool Version / Analysis Version outputs. Open Thermal AI screening outputs must be reviewed by qualified engineers before design, procurement, construction, or operation.

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Opens an editable copy of DEMO-OTAI-001. Original demo data is not overwritten. Next: adjust temperatures, load, hours and energy prices → re-run tools → export a screening report → request expert review.

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