Low-Carbon Technology Evaluation Using Industrial Energy Structure
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Solution Overview
Problem
Existing methods fail to accurately evaluate and determine appropriate low-carbon technologies for industrial entities due to the lack of consideration for their unique conditions, leading to inaccurate assessments of their effectiveness.
Innovation Solution
An evaluation method using an analytic hierarchy process to determine a first score for low-carbon technologies, incorporating energy structure and process energy consumption proportions, allowing for precise assessment of their impact on industrial entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a generic low-carbon technology evaluation method is used, then the evaluation process is simple, but the evaluation accuracy is insufficient because it does not consider specific industrial entity conditions
Solution Approach 1:
The evaluation system is segmented into multiple hierarchical levels: first-level indicators (energy consumption, carbon emissions, economic benefits, technical feasibility) and second-level indicators (detailed metrics under each first-level indicator). This segmentation allows the system to comprehensively evaluate low-carbon technologies while maintaining structured complexity that can be systematically managed.
Solution Approach 2:
The patent introduces dynamic parameter adjustments based on industrial entity characteristics. The evaluation model incorporates weight coefficients that are adjusted according to the specific energy structure, process type, and operational context of each industrial entity, transforming a static evaluation system into a dynamic one that adapts to different evaluation scenarios.
2Adaptability or versatility
If traditional evaluation methods are used, then the implementation is straightforward, but the adaptability to different industrial entities is poor
Solution Approach 1:
The evaluation model applies local quality by tailoring the evaluation criteria and weight coefficients to the specific characteristics of each industrial entity. Different process types (e.g., heating, cooling, transportation) and energy structures receive customized evaluation parameters, ensuring that the evaluation is locally optimized for each entity's context rather than applying a uniform standard.
Solution Approach 2:
The evaluation system is made dynamic through time-varying weight coefficients and adjustable parameters that adapt to changing industrial conditions. The model can dynamically adjust to different time periods, energy prices, environmental policies, and technological developments, allowing the evaluation framework to evolve with the industrial landscape.
3Measurement precision
If detailed industrial entity conditions are considered, then the evaluation accuracy improves, but the data processing complexity increases
Solution Approach 1:
The patent introduces an intermediary evaluation model that acts as a bridge between raw industrial data and final evaluation results. The model incorporates intermediate calculation layers (first scores, second scores, comprehensive scores) that progressively transform complex input data into meaningful evaluation outputs, making the data processing pipeline more manageable and interpretable.
Solution Approach 2:
The evaluation system utilizes parameter transformation and normalization techniques to convert diverse industrial data (energy consumption, emissions, economic indicators) into standardized evaluation parameters. This parameter transformation simplifies data processing by converting heterogeneous data into a unified framework that can be systematically analyzed.
Data Source
AI summary
The present disclosure provides an evaluation method and determination method of low-carbon technology and an electronic device. The evaluation method includes: determining a first score of the low-carbon technology according to an analytic hierarchy process; determining a second score of the low-carbon technology according to the first score and an energy structure proportion of an industrial entity, wherein the energy structure proportion is a ratio of a consumption of a first type of energy of the industrial entity in a first time period to a consumption of a plurality of types of energy of the industrial entity in the first time period, and the first type is a type of energy saved by using the low-carbon technology; and evaluating an effect of the industrial entity in using the low-carbon technology according to the second score.