P2P Energy Asset Pooling for Real-Time Microtransactions
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Solution Overview
Problem
Existing energy control platforms are inflexible and exclude small users, lack real-time pricing, struggle with microtransactions, and fail to efficiently balance supply and demand, leading to inefficiencies and disruptions like brownouts or blackouts, especially with the rise of renewable energy sources.
Innovation Solution
An energy control platform enabling Peer-to-Peer (P2P) transactions through an overlay communication network, utilizing asset vaults, asset managers, control units, and an exchange unit to analyze and match energy requirements and offers, employing clustering algorithms and smart contracts for efficient energy sharing among participants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional energy control platforms are used, then large market players can manage energy distribution, but small users and industries are excluded from participating in demand and supply mechanisms
Solution Approach 1:
The patent segments the energy market into different participant categories (large market players, small users, industries) and creates differentiated access mechanisms. The platform provides tailored entry points for each segment, allowing small users to participate through simplified interfaces while maintaining the overall market structure for large players.
Solution Approach 2:
The energy control platform is designed with universal functionality to serve multiple types of participants simultaneously. It implements a multi-functional architecture that supports both large-scale corporate energy trading and small-user microtransactions, eliminating the need for separate platforms for different market segments.
2Productivity
If existing platforms are used, then energy distribution to big customers is efficient, but microtransactions are hindered and individual users with specific energy needs cannot participate
Solution Approach 1:
The platform implements dynamic pricing mechanisms and flexible transaction parameters that adapt to different user needs. It allows real-time price adjustments, variable transaction sizes for microtransactions, and customizable energy profiles for individual users, enabling the system to efficiently handle both large and small transactions.
Solution Approach 2:
The system changes key parameters such as transaction minimum thresholds, pricing intervals, and matching algorithms to accommodate microtransactions. By adjusting these parameters dynamically, the platform maintains high efficiency for large transactions while becoming accessible to small users conducting microtransactions.
3Device complexity
If non-real-time pricing is used, then grid-level matching is simplified, but real-time responsiveness to market fluctuations and energy requirements is delayed
Solution Approach 1:
The platform implements periodic real-time pricing cycles that continuously update energy prices based on current supply and demand conditions. Instead of static hourly pricing, the system conducts frequent periodic auctions and price adjustments, enabling real-time market responsiveness while maintaining a structured pricing framework.
Solution Approach 2:
The system incorporates real-time feedback loops that monitor energy prices, supply conditions, and demand patterns. This feedback mechanism enables dynamic pricing adjustments that respond immediately to market fluctuations, ensuring both speed and accuracy in reflecting current market conditions.
4Ease of manufacture
If hourly market prices are used for battery storage management, then pricing is standardized, but the value of saved kilowatt-hours during critical periods cannot be adequately reflected
Solution Approach 1:
The platform applies local quality pricing that adjusts energy values based on specific local conditions and time-critical factors. During critical periods such as brownouts or blackouts, the system assigns higher values to saved kilowatt-hours in affected areas, reflecting the actual emergency value rather than using uniform standardized pricing.
Solution Approach 2:
The system performs preliminary pricing assessments that anticipate critical periods and pre-value energy storage accordingly. By predicting when critical conditions may occur and preparing pricing mechanisms in advance, the system ensures accurate valuation of energy savings before emergencies actually occur.
Data Source
AI summary
An energy control platform enabling P2P sharing of energy assets among a plurality of participants. Each participant is associated with an asset vault of a plurality of asset vaults, that is connected to a dedicated asset manager of a plurality of asset managers. A control unit analyzes a plurality of parameters such as, timing information, energy-type, and location of energy associated with the plurality of asset managers and categorizes the plurality of asset managers into a plurality of asset manager pools. The control unit computes an aggregate of production and consumption proposal corresponding to each asset manager pool and computes one or more bids for each asset manager pool. An exchange unit receives the one or more bids and identifies one or more other asset manager pools matching the aggregate production and consumption proposal. The exchange unit places bids and completes one or more transactions.