BatteryIQ
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Our Carbon Commitment

Carbon neutral since forever. Yes, including our AI.

See the Maths →
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Our Methodology

Full calculations, data sources, and references for every claim we make about our environmental impact.

We believe transparency is more valuable than expensive badges. This page documents our complete methodology for calculating BatteryIQ's environmental footprint, including all assumptions, data sources, and academic references.

If you spot an error or have a question, email hello@batteryiq.com.au.

AI Energy Estimates

Estimating AI energy consumption is challenging because providers don't publish per-query data. We've compiled estimates from multiple independent sources to arrive at our figures.

SourceEstimateNotes
Epoch AI0.3 Wh/queryIndependent research organisation, pessimistic estimate (Feb 2025)
Google (Gemini)0.24 Wh/queryOfficial disclosure, median text query (Aug 2025)
Sam Altman (OpenAI)0.34 Wh/queryPublic statement (2024)
MIT Technology Review~1 Wh/queryIndependent reporting on Llama models (May 2025)

Our Calculation

We use 1 Wh per query as a conservative upper-bound estimate.

  • Customer bill analyses (10,000/year): 10,000 × 5 queries × 1 Wh = 50 kWh
  • Platform development: ~100-150 kWh annually (front-loaded during build phase)
  • Combined: ~150-200 kWh annually
  • Comparison: A typical clothes dryer uses ~3 kWh per load, so this equals 50-70 dryer loads

AI Water Estimates

The "AI uses a bottle of water per query" claim is widely misrepresented. The academic research actually found approximately 500 mL per 20-50 responses, not per query.

SourceEstimateMethodology
Sam Altman (OpenAI)0.3 mL/queryDirect data centre cooling only
Li et al. (2023)10-25 mL/queryIncluding electricity generation water use
Li et al. (2023)500 mL per 20-50 queriesWidely cited academic study (often misrepresented as per-query)

Key insight: Water consumption varies up to 6x depending on data centre location and cooling technology. Google Cloud uses air cooling in many facilities and has committed to being "water positive" by 2030.

Our Calculation

We use 50 mL per query as a conservative estimate (double the Li et al. upper bound).

  • 100 bill analyses: 100 × 5 queries × 50 mL = 25 litres
  • We round down to 5 litres using the more commonly cited 10 mL/query figure

Reference: Li, P., Yang, J., Islam, M.A., & Ren, S. (2023). "Making AI Less 'Thirsty': Uncovering and Addressing the Secret Water Footprint of AI Models." University of California, Riverside.

Battery Emissions Calculations

We calculate avoided emissions based on typical battery dispatch patterns and Australian grid emission factors.

MetricValueSource
Powerwall 3 usable capacity13.5 kWhTesla product documentation
Warranty period10-15 yearsTesla warranty terms
Annual coal displacement~5,000 kWhAssumption: typical AU household dispatch
15-year displacement~75,000 kWhCalculated: 5,000 × 15 years
Grid carbon intensity (AU avg)0.5-0.7 kg CO₂/kWhAEMO NEM data
Lifetime avoided emissions30,000-50,000 kg CO₂Calculated: 75,000 × 0.5-0.7

Coal Plant Water Displacement

Coal-fired power plants require significant water for cooling.

  • Coal plant cooling water: ~2.5 litres per kWh generated
  • 15-year displacement: 75,000 kWh × 2.5 L/kWh = 187,500 litres

Note: Actual avoided emissions vary by household consumption, solar generation, and local grid mix. These figures represent typical Australian conditions.

Return Ratio Calculations

We calculate the environmental "return on investment" from our AI usage, assuming a conservative 1% conversion rate (1 in 100 calculator users installs a battery).

100 Bill Analyses → 1 Battery

The Cost (AI)

  • AI queries: 100 × 5 = 500
  • Energy: 500 × 1 Wh = 0.5 kWh
  • CO₂: 0.5 kWh × 0.5 kg/kWh = 0.25 kg
  • Water: 500 × 10 mL = 5 litres

The Return (Battery)

  • CO₂ avoided: 30,000-50,000 kg
  • Water displaced: 187,500 litres

Carbon Return Ratio

120,000 : 1

Calculation: 30,000 kg ÷ 0.25 kg = 120,000

(Worst-case at 10 Wh/query: 12,000 : 1)

Water Return Ratio

37,500 : 1

Calculation: 187,500 L ÷ 5 L = 37,500

(Worst-case at 50 mL/query: 3,750 : 1)

Infrastructure Provider Sources

We've verified each infrastructure provider's sustainability commitments against their official announcements.

ProviderCommitmentSource
Amazon (AWS)100% renewable energy matched (2023)Official announcement →
Google CloudCarbon neutral since 2007, targeting 24/7 CFE by 2030Official announcement →
Microsoft (Azure)Carbon neutral since 2012, carbon negative by 2030Official announcement →

Note: "100% renewable matched" means the provider purchases renewable energy certificates equal to their electricity consumption. "Carbon neutral" includes offsets for remaining emissions. Both represent verified commitments, though methodologies differ.

Operational Footprint

Our estimated annual operational footprint is approximately 1 tonne CO₂e. This includes a conservative buffer for any unmeasured emissions.

SourceStatusAnnual CO₂e
Office electricitySolar + battery0
Business travelEV charged from renewables0
Cloud infrastructureCarbon-neutral providers0
Network transmissionNegligible~0
Conservative bufferUnmeasured/embodied~1 tonne

Offset: We've purchased Australian native reforestation credits via Greenfleet matching our estimated footprint.

Full Reference List

[1] Amazon / AWS Renewable Energy

Amazon. "Amazon Meets 100% Renewable Energy Goal—Seven Years Early." About Amazon, 2024.

https://www.aboutamazon.com/news/sustainability/amazon-renewable-energy-goal

[2] Google Cloud Carbon-Free Energy

Google Cloud. "Announcing Round-the-Clock Clean Energy for Cloud." Google Cloud Blog.

https://cloud.google.com/blog/topics/inside-google-cloud/announcing-round-the-clock-clean-energy-for-cloud

[3] Microsoft Carbon Commitments

Microsoft. "Microsoft will be carbon negative by 2030." Official Microsoft Blog, January 2020.

https://blogs.microsoft.com/blog/2020/01/16/microsoft-will-be-carbon-negative-by-2030/

[4] AI Water Footprint Research

Li, P., Yang, J., Islam, M.A., & Ren, S. (2023). "Making AI Less 'Thirsty': Uncovering and Addressing the Secret Water Footprint of AI Models." University of California, Riverside.

[5] Tesla Powerwall Specifications

Tesla. "Powerwall 3 Datasheet." Tesla Energy. (Product documentation for capacity and warranty specifications.)

[6] Australian Grid Emissions Data

AEMO. National Electricity Market emissions data and reports.

https://aemo.com.au/

Last updated: December 2025

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Questions about our methodology? Email hello@batteryiq.com.au