Dow's Carbon Ledger Accelerates Sustainability

Dow has deployed a sophisticated Carbon Footprint Ledger (CFL) on the Databricks Data Intelligence Platform, a move aimed at providing granular, verifiable data on the environmental impact of its entire product portfolio. This initiative supports the company's sustainability goals and addresses growing regulatory and customer demands for transparency in emissions reporting.

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MLflow

Open-source platform for managing the ML lifecycle, from experimentation to deployment.

Databricks

$190.0B

A unified data analytics and AI platform built on the lakehouse architecture.

The CFL is designed to calculate cradle-to-gate Product Carbon Footprints (PCFs) for every product Dow manufactures. This capability is crucial for customers aiming to reduce their Scope 3 emissions, and for Dow to monetize its decarbonization efforts through its Decarbia™ low-carbon product line. The system is built to be third-party assured against ISO 14067 and the GHG Protocol Product Standard, ensuring its credibility.

From Weeks to Hours: Streamlining Carbon Accounting

Previously, calculating PCFs for Dow's vast range of products was a laborious process, taking weeks to complete due to data silos and complex computational requirements. The integration of Apache Spark, Delta Lake, and Unity Catalog within the Databricks environment has drastically compressed this timeline. Dow reports that end-to-end PCF processing time has been reduced to a fraction of its previous duration, enabling near real-time data generation.

The Databricks platform acts as the central hub, unifying disparate data sources from supply chain, manufacturing, energy consumption, and transportation into a single, auditable system. Unity Catalog provides essential governance, securing sensitive manufacturing and emissions data with fine-grained access controls.

MLOps for Optimized Production Pathways

A key component of the CFL is an advanced optimization model. This model dynamically identifies the most carbon-efficient production pathways and input materials across Dow's global manufacturing network. Leveraging Databricks' MLOps capabilities and MLflow, this optimization service is deployed with robust versioning and monitoring. The resulting data, including full lineage, feeds directly into the CFL, ensuring accuracy and auditability for Product Carbon Footprint calculation.

This technological leap not only accelerates sustainability reporting but also provides a competitive edge. Dow can now offer verifiable certificates for low-carbon products, directly assisting customers in their own sustainability reporting and emissions reduction strategies, particularly concerning Scope 3 emissions tracking. The platform's scalability ensures it can adapt to evolving regulations and reporting standards, positioning Dow as a leader in product-level carbon transparency, according to the Databricks blog.

Dow views the Carbon Footprint Ledger as a foundational step toward a broader vision of sustainability intelligence, where environmental data is as accessible and auditable as financial data.