Blockchain Green Power Certification With Multi-Chain Verification
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Solution Overview
Problem
Traditional green power attribute certification and consumption evaluation lack unified standards, leading to inaccurate certification mechanisms and information asymmetry, hindering the development of renewable energy.
Innovation Solution
A blockchain-based system that includes a certification chain for attribute certification and a token chain for consumption evaluation, using multi-chain interaction to process structured and unstructured data, generate green power attribute certificates and consumption labels, and supervise the process with a chain of custody to ensure accuracy and transparency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional green power attribute certification and consumption evaluation methods are used, then the process is simple, but the certification accuracy is low and information asymmetry exists
Solution Approach 1:
The system is divided into multiple specialized chains: certification chain for green power attribute certification, token chain for consumption evaluation, and chain of custody for supervision. Each chain handles specific functions independently, improving certification accuracy while maintaining manageable complexity through functional segmentation.
Solution Approach 2:
The patent introduces multiple intermediary components including data pre-processing units that standardize input data, smart contracts that automate verification logic, and cross-chain interaction mechanisms that enable secure data sharing. These intermediaries enhance measurement precision by ensuring data integrity and consistent evaluation criteria across the system.
2Reliability
If data from multiple sources is collected and processed, then the comprehensiveness of certification improves, but the processing complexity and time increase
Solution Approach 1:
The system performs data pre-processing before main certification operations, including data validation, standardization, and structuring. This preliminary action ensures that all input data meets required criteria, improving certification reliability while reducing processing time during the actual certification by avoiding rework and validation delays.
Solution Approach 2:
The patent replaces manual or mechanical data processing with automated blockchain-based verification and smart contract execution. This substitution enables parallel processing of multiple data sources, maintaining high reliability through cryptographic verification while significantly reducing processing time through automated consensus mechanisms.
3Loss of information
If blockchain technology is implemented for green power certification, then transparency and credibility improve, but the system complexity and implementation difficulty increase
Solution Approach 1:
The patent designs the blockchain system with multi-functional components that serve multiple purposes: the certification chain handles both data storage and verification, the token chain manages both consumption tracking and evaluation, and the chain of custody performs both supervision and auditing. This universality reduces overall system complexity by eliminating redundant components while maintaining full information transparency.
Solution Approach 2:
The system uses digital copies of physical power generation and consumption data, stored immutably on blockchain. These digital replicas maintain complete information transparency without requiring physical inspection or complex verification infrastructure, as the blockchain structure itself provides cryptographic proof of authenticity and integrity.
4Measurement precision
If multiple constraints and evaluation models are applied, then the accuracy of green power determination improves, but the computational complexity increases
Solution Approach 1:
The evaluation framework is segmented into distinct constraint types (first constraint for power generation curve matching, second constraint for on-grid electricity verification, third constraint for consumption validation) and separate evaluation models (green power certification model, consumption evaluation model). This segmentation improves determination accuracy by applying specialized logic to each aspect while reducing computational complexity through modular processing that can be executed independently and in parallel.
Data Source
AI summary
The present disclosure provides a blockchain-based green power certification method, apparatus, and system, to pre-process obtained basic data to obtain proof-of-existence data, certify the proof-of-existence data from a production side and a consumption side by using a certification chain and a token chain respectively, and obtain a green power attribute certificate and a green power consumption label if the certification is passed; generate a unique digital identifier for the green power attribute certificate and the green power consumption label separately based on a non-fungible token (NFT), which realizes non-interchangeability, indivisibility, and other characteristics of the certificate and the identifier; and supervise and verify a certification process by using a chain of custody, and generate a corresponding unique blockchain identifier for the certification chain, the token chain, and the chain of custody separately through multi-chain interaction, so as to realize data interaction between blockchains.


