Dow's Carbon Footprint Ledger on Databricks Enhances Sustainability Efforts
Dow's Carbon Footprint Ledger revolutionizes how the company tracks its environmental impact, cutting carbon calculation times dramatically while supporting its commitment to sustainability and regulatory compliance.
Key Facts
- Dow's CFL reduces PCF calculation time from weeks to minutes, enhancing operational agility.
- Third-party assurance against ISO 14067 boosts customer trust and competitive positioning in sustainability.
- The CFL enables monetization of low-carbon products, aligning with growing market demand for sustainability.
- Comprehensive carbon footprint data for all products enhances Dow's market transparency and regulatory compliance.
- Investment in Databricks positions Dow as a leader in sustainability, driving strategic growth in eco-conscious markets.
Summary
Summary
Dow developed a Carbon Footprint Ledger (CFL) on the Databricks Data Intelligence Platform to unify its enterprise data and calculate cradle-to-gate Product Carbon Footprints (PCFs) for its entire product portfolio. This solution significantly reduced processing time from weeks to a fraction of that, enabling rapid and verifiable carbon footprint assessments. The CFL supports Dow's Decarbia™ low-carbon product portfolio, helping customers reduce Scope 3 emissions.
Background
Dow is a global materials science company focused on sustainability and innovation. Prior to deploying the CFL, Dow faced challenges in calculating the carbon footprint of its products due to data residing in silos across various functions and geographies. The complexity of integrating data from raw material sourcing, manufacturing, energy consumption, and transportation made the process time-consuming and inefficient.
Challenge
The specific problem Dow aimed to solve was the lengthy and complex process of calculating Product Carbon Footprints (PCFs) for its extensive product range. The existing method took weeks to complete, which hindered the company's ability to respond quickly to customer inquiries regarding carbon emissions and sustainability.
Solution
Dow implemented the Carbon Footprint Ledger on the Databricks Data Intelligence Platform, utilizing Apache Spark, Delta Lake, Unity Catalog, and MLflow. This end-to-end pipeline ingests, transforms, and unifies data from across the organization into a single automated system. The CFL combines a carbon-accounting methodology with a calculation engine and a certificate-issuing ledger, allowing for rapid PCF calculations and the issuance of verifiable certificates for low-carbon products.
Results
The deployment of the CFL resulted in a dramatic reduction in processing time for PCF calculations, collapsing the timeframe from weeks to a fraction of that. The system now supports carbon footprint assessments for Dow's entire product portfolio, rather than just a few flagship products. Additionally, the CFL enables optimization of products to achieve the lowest possible carbon footprint by identifying the best ingredients and production pathways.
Key Insights
- Integrating data from multiple sources into a unified platform can significantly streamline complex processes.
- Advanced optimization models can enhance sustainability efforts by identifying the most efficient production pathways.
- Verifiable carbon footprint assessments can provide customers with the transparency needed to meet sustainability targets.
Customer Testimonial
No direct quotes are available in the source material.
Entities Mentioned
Companies
Products
Technologies
People
Organizations
Key Concepts
Definitions
- Carbon Footprint Ledger (CFL)
- A digital tool developed by Dow to track and communicate the carbon footprint of its products, ensuring transparency and verifiability.
- Product Carbon Footprint (PCF)
- The total greenhouse gas emissions generated from raw material extraction through manufacturing, measured in CO2 equivalent.
- MLOps
- A set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently.
- ISO 14067
- An international standard that specifies principles, requirements, and guidelines for the quantification and reporting of the carbon footprint of products.
- GHG Protocol
- A widely used international accounting tool for government and business leaders to understand, quantify, and manage greenhouse gas emissions.
Use Cases
- →Calculating cradle-to-gate Product Carbon Footprints for Dow's entire portfolio
- →Issuing Product Carbon Footprint certificates for low-carbon products
- →Optimizing product carbon attributes using the lowest-carbon inputs
- →Providing transparency and audit-grade governance for carbon emissions
- →Supporting customers in reducing Scope 3 emissions
- →Enabling rapid response to customer requests for carbon footprint data
Frequently Asked Questions
What is the purpose of the Carbon Footprint Ledger?
The Carbon Footprint Ledger is designed to unify enterprise data and calculate the carbon footprints of Dow's products, providing a transparent and verifiable system for tracking emissions.
How does the CFL improve processing time for carbon footprint calculations?
By leveraging the Databricks Data Intelligence Platform and technologies like Apache Spark, the CFL reduces processing time from weeks to a fraction of that, enabling rapid generation of carbon footprint information.
What standards does the CFL adhere to?
The CFL is third-party assured against ISO 14067 and the GHG Protocol Product Standard, ensuring that its carbon accounting methodology is reliable and credible.
How does Dow's CFL support sustainability initiatives?
The CFL helps Dow and its customers by providing verifiable carbon footprint data, which is essential for making informed sourcing decisions and demonstrating progress towards sustainability targets.
What role does MLOps play in the CFL?
MLOps is used to develop and deploy the optimization capabilities of the CFL, ensuring that the carbon footprint data is managed efficiently and can adapt to changes in underlying data or parameters.