Digital Twin Carbon Emission Modeling for Livestock Houses
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Solution Overview
Problem
Existing methods for measuring carbon emissions from livestock houses rely on default emission coefficients that do not account for country-specific variations in livestock breeding environments and feeding techniques, leading to inaccuracies in greenhouse gas emission calculations.
Innovation Solution
A method using a digital twin-based approach to collect and analyze livestock house environment data, generating regression and deep learning models to create accurate carbon emission measurement models, incorporating factors such as internal and external environmental conditions and livestock parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If default emission coefficient values are used to calculate carbon emissions, then the calculation process is simple and quick, but the measurement precision is insufficient due to lack of country-specific variations
Solution Approach 1:
The patent transforms fixed default emission coefficients into dynamic, country-specific emission coefficients by changing the parameters used in calculation. It incorporates multiple environmental factors (temperature, humidity, wind speed, livestock characteristics) to create variable emission coefficients that adapt to different conditions, thereby improving measurement precision while maintaining computational efficiency through standardized calculation frameworks.
Solution Approach 2:
The patent creates a digital twin system that copies and simulates the livestock house environment to generate emission data. By replicating the physical system in a virtual model, it can collect comprehensive environmental data without interfering with actual operations, enabling accurate emission calculations while preserving the simplicity of the measurement process.
2Measurement precision
If digital twin-based data collection and model generation methods are used, then carbon emission measurement precision is improved, but the device complexity increases
Solution Approach 1:
The patent develops a universal carbon emission measurement system that can be applied across different livestock houses and countries. The digital twin model and emission calculation framework are designed to be multi-functional, handling various livestock types, environmental conditions, and emission sources through a single integrated system, thereby managing complexity through standardization rather than proliferation of specialized components.
Solution Approach 2:
The digital twin serves as an intermediary between the physical livestock house and the emission calculation system. It collects, processes, and transforms raw environmental data into meaningful inputs for emission models, simplifying the overall system architecture by centralizing data handling functions in a virtual representation rather than requiring direct complex interactions between multiple physical sensors and calculation engines.
Data Source
AI summary
The present invention relates to a method of measuring carbon emissions, which includes collecting, by a processor, livestock house environment data from one or more twin livestock houses, and selecting, by the processor, one or more factors from the livestock house environment data and generating a plurality of carbon emission measurement models.