Green Passport Carbon , Singapore
Green Passport Carbon , Singapore
Green Passport Carbon helps AI and technology companies take a practical first step, measure your estimated emissions, understand your impact and obtain a carbon neutral certificate.
Training AI models, running cloud infrastructure, operating data centres and processing large amounts of data all require electricity.
As AI adoption grows, so does attention on its energy use and associated carbon emissions. Companies are increasingly being asked how they measure, manage and communicate their environmental impact.
Having clear carbon information helps your organisation respond with greater transparency rather than relying on assumptions or unsupported sustainability claims.
After completing the required process, your certificate can support your sustainability communications across different channels.
Use it as a website badge, include it in your company or investor pitch deck, or reference it as supporting information within your ESG and sustainability reporting.
It gives your organisation a clear way to communicate the carbon action you have taken.
We use two independent methods, and you can pick whichever matches the data you have. The spend-based method applies an industry-average emissions-per-dollar figure to your monthly cloud bill. The activity-based method estimates the energy your compute usage draws, then multiplies that by the carbon intensity of the electricity grid in your selected region.
This is expected, not an error. Spend-based estimates reflect a broad industry average across an entire economic sector, while activity-based estimates are narrower and reflect only the electricity your compute actually consumes.
The current calculator estimates general compute usage. If your workload is GPU-intensive (e.g. model training), your actual emissions are likely higher than this estimate reflects, since GPUs draw substantially more power than general-purpose CPU compute.
This is an indicative, screening-level estimate, meant for general awareness and benchmarking, not a certified or audited carbon footprint. It’s built on public emission factors and reasonable industry-standard assumptions, not your organization’s actual metered energy use.
Spend-based factors come from Watershed’s Comprehensive Environmental Data Archive (CEDA). Activity-based factors follow the Cloud Carbon Footprint methodology, with region-specific grid carbon intensity and provider energy coefficients sourced via Climatiq. Exchange rates are from the World Bank’s official exchange rate series.
The free version is designed to give you a quick, indicative estimate using minimal inputs, your cloud provider, region, and either your monthly bill or compute hours. It covers compute (CPU) emissions only, using publicly available emission factors and reasonable industry-standard assumptions like a 50% CPU utilization default.
The paid version goes considerably further: it adds memory, storage, and networking emissions, and embodied emissions from hardware manufacturing, and support for GPU and AI-training-specific workloads, giving you a much more complete picture of your infrastructure’s footprint. It also draws on more granular, full-access emission factor data rather than the free public factors used here.
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