Silk Reeling Carbon Footprint Allocation by Mass Evolution
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Solution Overview
Problem
The textile industry, particularly the silk reeling process, faces challenges in accurately allocating carbon footprints due to continuous mass loss of the primary product and generation of byproducts, leading to inaccuracies in electricity consumption accounting, which is crucial for carbon footprint assessment.
Innovation Solution
A method based on mass conservation principles establishes a mass evolution relationship between the primary product and byproducts, calculating theoretical electricity consumption, determining running efficiency, and allocating electricity consumption stepwise to byproducts, followed by carbon footprint accounting using allocation ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional electricity allocation methods based on economic value are used, then accounting simplicity is maintained, but carbon footprint allocation precision deteriorates due to continuous mass loss and byproduct generation
Solution Approach 1:
The patent segments the silk reeling process into multiple distinct stages (cocoon drying, cocoon mixing, cocoon sorting, cocoon peeling, trial reeling, cocoon cooking, re-reeling, vacuum moistening, silk skein formation and packing, raw silk inspection). Each stage is allocated electricity consumption based on its specific energy requirements and mass throughput, enabling precise carbon footprint tracking at each segment rather than using a single aggregate allocation method
Solution Approach 2:
The patent introduces tertiary metering devices as intermediary measurement tools installed at each process stage. These meters serve as mediators between the electrical energy input and the product output, providing direct measurement data that bridges the gap between total electricity consumption and specific process allocation, thereby eliminating the need for complex theoretical allocation models
2Measurement precision
If total annual electricity consumption is allocated among different specifications and processes, then carbon footprint accounting can be performed, but allocation accuracy deteriorates due to lack of tertiary metering and continuous mass loss
Solution Approach 1:
The patent implements feedback mechanisms through tertiary metering that continuously measures electricity consumption at each process stage and feeds this data back to the carbon footprint accounting system. This real-time feedback enables dynamic adjustment of allocation ratios based on actual energy usage patterns rather than relying on static theoretical models that cannot account for continuous mass loss variations
Solution Approach 2:
The patent installs tertiary metering devices in advance at each process stage before production begins. This preliminary action ensures that measurement infrastructure is already in place to capture electricity consumption data as it occurs, eliminating the need for post-hoc estimation and allocation based on incomplete information about mass loss and energy distribution
Data Source
AI summary
The invention relates to a carbon footprint accounting method for a silk reeling stage of raw silk, including establishing a mass conservation-based mass evolution relationship between a primary product and byproducts; calculating the process duration according to the mass of the primary product in processes, and combining equipment power to calculate a theoretical annual electricity consumption; calculating a total electricity consumption for each specification of raw silk based on the running efficiency; establishing a step-by-step allocation method for electricity consumption at byproducts generation points; establishing allocation rules and ratios for other energy and material inputs; and performing carbon footprint accounting for different silk specifications according to the allocated annual electricity consumption and the other allocated inputs. The invention changes a conventional practice of simply allocating carbon footprints of final products based on economic value, and achieves precise calculation and allocation of carbon footprints during the silk reeling stage.