Carbon Accounting System Predicting Emission Forecasts
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Solution Overview
Problem
Existing carbon accounting tools for urban development projects and real estate assets lack the ability to accurately simulate and forecast future carbon emissions mitigation performance across the full life cycle of emission entities, particularly during the operational stage, and fail to account for comprehensive sources of real-time IoT data, big data, and user behavior data, limiting their scalability and effectiveness in achieving specific mitigation targets.
Innovation Solution
An integrated and comprehensive carbon accounting system that calculates carbon emissions using activity data and emission factors, incorporating sub-modules for Scope 1, Scope 2, and Scope 3 emissions, with predictive analytical modeling to generate simulation and forecast models based on historical and observed data, and evaluates performance using key indicators and metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing carbon accounting tools use conventional historical and reported activity data for auditing past performance, then the auditing function is fulfilled, but the ability to produce effective future forecasts is insufficient
Solution Approach 1:
The system performs preliminary actions by collecting and processing real-time IoT data, big data, and user behavior data in advance, building comprehensive predictive models before forecasting is needed. This allows the system to have prediction capabilities ready before actual forecasting requests, improving forecast accuracy while utilizing information that would otherwise be lost.
Solution Approach 2:
The patent introduces an intermediary layer of predictive analytical modeling that bridges historical data and future forecasts. This intermediary processing layer transforms raw real-time data into actionable predictive insights, enabling effective future forecasts while maintaining the auditing function based on historical data.
2Productivity
If carbon accounting tools focus on auditing carbon emissions based on historical performance, then the auditing capability is maintained, but the ability to simulate and forecast future carbon emissions mitigation performance is insufficient
Solution Approach 1:
The system segments the carbon accounting function into distinct modules: historical auditing module, real-time data collection module, predictive modeling module, and forecasting module. This segmentation allows each module to specialize in specific tasks, improving overall forecasting efficiency while managing system complexity through modular design.
Solution Approach 2:
The patent creates a multi-functional carbon accounting system that performs both historical auditing and future forecasting capabilities within a unified platform. The system universally handles multiple data sources (IoT, big data, user behavior) and multiple emission scopes (Scope 1, 2, and 3), improving productivity without proportionally increasing complexity through integrated design.
3Adaptability or versatility
If existing tools only cover Scope 1 and Scope 2 emissions, then the coverage is limited and manageable, but the comprehensiveness of carbon accounting is insufficient
Solution Approach 1:
The patent extends the carbon accounting system into another dimension by incorporating Scope 3 emissions, transforming it from a two-scope to a three-scope comprehensive system. This dimensional expansion increases adaptability and versatility to cover indirect emissions from value chain activities, while the system manages the increased data volume through efficient processing architectures.
Data Source
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AI summary
The present invention discloses an integrated and comprehensive carbon accounting system (100) for simulating and predicting forecasts for carbon emissions of an emission entity of urban development projects, real estate assets and buildings, characterized by: a data collection module (108) for collecting a plurality of data; wherein the plurality of data comprises a plurality of activity data (AD) (104), a plurality of emission factors (EF) (106), data relating to a plurality of observed dependent variables and a plurality of observed independent variables for prediction; a carbon accounting module (102) for calculating carbon emissions (105) of the plurality of emission entities based on the plurality of activity data (AD) (104) and the plurality of emission factors (EF) (106); wherein the carbon accounting module (102) comprises a carbon emission sub-module, a carbon-off setting sub-module and a carbon avoidance sub-module; wherein the carbon accounting module (102) covers a plurality of Scope 1, Scope 2 and Scope 3 emissions; a predictive analytical modelling module (110) for generating simulation and predictive forecast models based on a plurality of observed dependent variables and the plurality of observed independent variables; a simulative forecast module (112) for predicting and forecasting a level of future carbon emissions and emission pathways and trends over timelines based on the data collection module (108) and the predictive analytical modelling module (110); wherein the level of future carbon emissions and emission pathways and trends over timelines are predicted and forecasted according to a plurality of predetermined scenarios for the plurality of emission entities with respect to pre-set mitigation measures, target amount, target years which are defined by users; and a key performance indicators and metrics module (114) for evaluating performance of the simulative forecast module.