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Energy & Utilities

CarbonLake

Overview

Trying to acquire and organize data from various systems within an organziation for scope 1 and 2 emissions, and working with supply chain partners to determine scope 3 emissions can pose major technical challenges. The preparation of such data can take up significant portion of the overall decarbonization measurement effort.

The CarbonLake solution is a cloud-native solution that alleviates the intensive tasks of organizing, indexing, calculating, and structuring decarbonization measurement data in a secure, compliant, and auditable framework. The CarbonLake solution utilizes an event-driven data pipeline to integrate seamlessly with multiple data sources, perform data quality checks and calculate carbon emissions using customer-defined standards databases. CarbonLake integrates with existing AWS Analytics, AI/ML, API, and Web Services to enable customer-defined decarbonization applications.

The CarbonLake solution

CarbonLake is designed to be the unified “system of reference” for all carbon data within organizations and accelerates use cases such as decarbonization opportunities’ identification, forecast of decarbonization scenarios, Identification of trends and patterns from existing programs, organizations.

Use Cases

  • Enterprise carbon tracking

  • Climate risk reporting

  • Decarbonization pathway forecasting

  • Operational carbon monitoring

  • Product carbon footprint

  • Decarbonization impact verification

CarbonLake

  • Data management

  • Data acquisition

  • Data standardization

  • Calculation engine

  • Traceability and auditability of data

  • Connect to datasets within the AWS ecosystem

Benefits and Values

  • Unified carbon system of reference

  • Enhance carbon data quality

  • Support direct measurement of emissions

  • Streamline carbon calculations

  • Future-proof decarbonization measurement

How to get started

1. Step 1 » Decarbonization use case prioritization

Activities

  • Build discovery workshop

  • Prioritize value of decarbonization impact & business value

  • Data availability

  • Business case for identified use case(s)

Outcomes

  • Application vision-setting

  • User experience

  • High-level architecture design

  • Engagement scope

  • Potential deployment partner list

2. Step 2 » First use case - Deployment planning

Activities

  • Implementation planning workshop

  • Inventory available data

  • Data acquisition plan

  • Evaluate analytics/ML strategies

  • Define custom feautures

Outcomes

  • Reference architecture

  • Workflow definition

  • Analytics/ML strategy

  • Device Requirements

  • End-to-end engagement plan

3. Step 3 » Decarbonization use case execution

Activities

  • Complete data acquisition

  • Implement analytics workflow

  • Build data visualization/UI

  • End-to-end testing of application

Outcomes

  • Deployed CarbonLake

  • Completed partner-led implementation

  • Implemented analytics/ML workflow

  • Implemented data visualization/UI

  • Deployed use case

Get started

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