Real-Time LCA Forecasting for Carbon Intensity and Emissions

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Solution Overview

Problem

Existing life cycle assessment (LCA) software tools lack the ability to accurately forecast carbon intensity, emissions, and environmental impacts of products, are complex and unintuitive, rely on secondary data sources, and fail to provide real-time updates across the supply chain.

Innovation Solution

A user-friendly forecasting system that integrates real-time data, uses primary source data, and operates on a cloud-based platform to generate accurate and up-to-date forecasts of carbon intensity, emissions, and carbon credits, allowing seamless integration and collaboration among stakeholders.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional LCA software tools are used, then impact analysis can be performed, but they cannot forecast carbon intensity, emissions, and environmental impacts

Engineering Contradiction:

Improveforecasting accuracyVSAvoidsoftware complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent combines life cycle assessment (LCA) methodology with forecasting algorithms to create an integrated system that both analyzes environmental impacts and predicts future carbon intensity and emissions. This merging resolves the contradiction by enabling forecasting capability within the LCA software framework without requiring entirely separate complex systems.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system performs preliminary data collection and LCA analysis to establish baseline environmental footprints before forecasting future scenarios. By preparing the foundational environmental data in advance, the system can then efficiently generate forecasts for various future conditions without requiring complex real-time calculations.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If existing software tools are used, then impact analysis is performed, but data accuracy is reduced due to reliance on secondary sources

Engineering Contradiction:

Improveemissions data accuracyVSAvoiddata source flexibility

Core Design Contradiction:

Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent prioritizes primary data sources obtained directly from the specific facility being assessed, using secondary sources only when primary data is unavailable. This local quality approach ensures the highest possible data accuracy for each specific case while maintaining flexibility in data source selection based on availability.

Inventive Principle:

Principle #3Local quality

3Productivity

If traditional forecasting tools are used, then production forecasts are generated, but carbon intensity and emissions forecasts are not provided

Engineering Contradiction:

Improveforecasting capabilityVSAvoidenvironmental impact information

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The system is designed to perform multiple functions: traditional production forecasting, carbon intensity forecasting, emissions forecasting, and environmental impact analysis. This multi-functionality resolves the contradiction by enabling the tool to provide comprehensive forecasting including environmental dimensions without sacrificing production forecasting capabilities.

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Reliability

If existing LCA systems are used, then environmental footprint analysis is provided, but real-time updates across the supply chain are not communicated

Engineering Contradiction:

Improveforecast accuracyVSAvoidinformation update delay

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent implements automated feedback mechanisms that notify supply chain stakeholders when forecast updates occur. This feedback loop ensures that all parties receive timely updates about changes in carbon intensity and emissions forecasts, resolving the contradiction between maintaining accurate forecasts and communicating them in real-time across the supply chain.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250238815A1Method and system for electronic forecasting of carbon intensity for product, process, or service leveraging life cycle analysis (LCA)

Publication Date: 2025.07.24 ANEW FUELS LLC

AI summary

The present invention embodiments provide a forecasting system that derives carbon intensity, emissions, and environmental impact forecasts from a life cycle assessment (LCA). The forecasting system offers an intuitive, user-friendly interface that simplifies the complexity of forecasting methodologies, making generating forecasts of carbon intensity, emissions, and environmental impacts accessible to a broader audience. It incorporates advanced algorithms and real-time data integration, ensuring accurate and up-to-date forecasts. Additionally, the forecasting system is designed with a modular architecture and is highly configurable, allowing seamless integration with various industries and accommodating diverse products and processes.