Proof-of-Work Random Number Generation for Grid-Stabilizing Loads
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Solution Overview
Problem
The growing energy consumption of computational loads, particularly proof-of-work computations for blockchain systems and scientific machine learning tasks, poses significant challenges for power grid stability and carbon emissions. Existing methods have been ineffective in reducing these energy costs.
Innovation Solution
The proposed solution involves configuring auxiliary computational loads to provide on-demand grid stabilization by utilizing excess renewable energy for computations. This includes modifying proof-of-work protocols to generate random numbers at a reduced energy cost, which can then be used in machine learning and other computations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proof-of-work computations are performed for blockchain systems, then security and decentralization are improved, but energy consumption increases significantly
Solution Approach 1:
The patent combines proof-of-work computations with random number generation into a single integrated process. The blockchain nodes perform proof-of-work hashing operations that simultaneously generate random values as byproducts, merging two separate computational tasks into one unified operation that achieves both blockchain security and random number generation without requiring additional energy expenditure for the random number generation component.
2Measurement precision
If random numbers are generated for machine learning computations, then computational accuracy is improved, but energy consumption increases
Solution Approach 1:
The patent implements a self-service mechanism where blockchain nodes generate random numbers as a byproduct of their own proof-of-work operations. Instead of requiring separate dedicated random number generation systems, the blockchain network itself serves its own random number needs through the inherent randomness produced during hashing operations, eliminating the need for additional energy-consuming random number generation infrastructure.
3Adaptability or versatility
If distributed power generation and storage are added to the grid, then power system flexibility is improved, but system complexity increases
Solution Approach 1:
The patent makes blockchain nodes multi-functional by enabling them to simultaneously perform proof-of-work computations, maintain blockchain security, and generate random numbers for various computational tasks including machine learning. This universality reduces the need for separate specialized systems, thereby simplifying the overall architecture despite the presence of distributed power generation and storage components.
Data Source
AI summary
Systems and methods are provided. A method includes obtaining, by one or more computing devices, one or more work instructions associated with a proof-of-work protocol. The method includes performing, by the one or more computing devices, one or more first tasks based at least in part on the work instructions. The method includes determining, by the one or more computing devices and based on one or more values generated by the one or more computing devices during the one or more first tasks, one or more random or pseudorandom values. The method includes performing, by the one or more computing devices and based on the one or more random or pseudorandom values, one or more second tasks different from the one or more first tasks.