AirlineAI — Wellington AI

⚠️ Planning simulator only. Speed references are illustrative (mph) for categorisation. Not an operational flight tool — do not use for dispatch, performance or pilot procedures.

Select Aircraft Type

Select Airport

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Fuel Saved / Flight (kg)

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Annual Total Saving

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CO₂ Saved / yr (t)

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Simple Payback (yrs)

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Net-Zero Score

Airbus A320neo

Narrow-body · Heathrow (UK, Major hub)

Typical Seats180

Approach Speed Ref (illustrative)155 mph

Takeoff Rotation Ref (illustrative)160 mph

Typical Range6,500 km

Daily Flights20

Passengers / Day2,952

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Fuel Saved / Flight (kg)

baseline − AI taxi+holding

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Annual Fuel Saving

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Annual CO₂ Cost Avoided

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Annual Total Saving

Annual Saving Composition & Cumulative Net Benefit (10 yrs)

Turnaround Time — Baseline vs AI-Optimised

Taxi Time — Baseline vs AI-Optimised

Per-Flight Efficiency

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Fuel Saved / Flight (kg)

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CO₂ Saved / Flight (t)

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Turnaround Saved (min)

Taxi + holding fuel scales with the selected airport's taxi minutes (Heathrow baseline 960 / AI 580 kg). CO₂ conversion: 3.16 kg CO₂ per kg jet fuel. Illustrative planning estimates.

Airport Efficiency Comparison (all airports, selected aircraft)

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Annual Fuel Saved (t)

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Annual CO₂ Saved (tCO₂)

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Net-Zero Score (illustrative)

Annual CO₂ Saving vs SAF Blend Uplift

Sustainability Metrics

Annual Fuel Saved–

Annual CO₂ Saved–

SAF Blend–

Carbon Price–

Annual Carbon Cost Avoided–

Effective CO₂ Incl. SAF–

Net-Zero Score = MIN(100, 40 + annual CO₂ saved ×100 + annual fuel saved ÷1000) — an illustrative saturating index from the source model, not a certified metric. SAF uplift shows additional CO₂ reduction from the sustainable aviation fuel blend applied to remaining fuel.

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NPV @ 10%

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IRR

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Simple Payback

Net & Discounted Cash Flow

Year-by-Year Financial Model

Yr	Fuel Savings $	Carbon Savings $	Total Savings $	OPEX $	Net Cash Flow $	Discount Factor	Discounted CF $

Year 0 = −project investment. Annual savings held flat (baseline model); OPEX default $250,000/yr; discount rate 10%. Planning-level — validate with airline, airport and regulatory data.

Scenario Comparison — Annual Total Saving ($)

Scenario Analysis Matrix

Scenario	Fuel Price $/kg	Carbon Price $/tCO₂	Daily Flights	Fuel Saved/Flight kg	Annual Fuel Saving $	Annual Carbon Saving $	Total Saving $

Scenario matrix from the source model. Total saving = fuel price × daily flights × fuel saved/flight × 365 + carbon price × (fuel saved/flight × 3.16/1000) × daily flights × 365.

Aircraft Database (18 types) — illustrative planning references only

Aircraft	Category	Approach mph	Rotation mph	Seats	Range km	Engine	Fuel Burn

Airport Database (8 airports)

Airport	Country	Type	Baseline Taxi min	AI Taxi min	Baseline Turnaround min	AI Turnaround min

⚠️ Safety & Use Notice

This platform is a planning, sustainability and investment simulator. It is not an operational flight tool.
Illustrative speed references in mph are for high-level planning and simulator categorisation only.
Actual takeoff and landing speeds are computed for each flight using approved aircraft performance procedures, aircraft weight, configuration, runway, weather and operator procedures.
Do not use this platform for operational flight decisions, dispatch release, aircraft performance calculations or pilot procedures.
Financial and emissions outputs are planning estimates and should be validated with airline, airport and regulatory data.
Jet fuel CO₂ factor used: 3.16 kg CO₂ per kg fuel, for planning use.
Speed fields are not optimisation targets and do not override certification, manufacturer data, ATC procedures or pilot judgement.

Operations & Fuel Inputs

Daily Flights

Passenger Load Factor

Baseline Taxi+Holding Fuel (kg)

AI Taxi+Holding Fuel (kg)

Route Distance (km)

SAF Blend

Market & Investment Inputs

Fuel Price ($/kg)

Carbon Price ($/tCO₂)

Project Investment ($)

Annual OPEX ($)

Project Years

Discount Rate

AirlineAI · Wellington AI Climate AI Suite · Planning, sustainability & investment simulator. Not an operational flight tool. Speeds illustrative only.