Methods and systems architecture to virtualize energy functions and processes into a cloud based model
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Solution Overview
Problem
The current electrical grid architecture is inefficient, leading to significant energy loss and environmental impact, with legacy systems struggling to account for diverse energy sources and consumption patterns, and lacking real-time market integration and predictive pricing.
Innovation Solution
A virtualized model within a cloud computing environment is created using parametric objects to represent energy generation and consumption, accounting for all associated costs and enabling real-time market exchanges and multilevel pricing, with virtualized energy objects interacting with both consumption and generation models to optimize energy flow and distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized electrical grid architecture is used, then power generation and distribution can be managed through a single control system, but significant energy loss occurs and environmental impact increases
Solution Approach 1:
The patent segments the centralized grid into distributed energy resources (DERs) and virtual power plants (VPPs), allowing local generation and consumption while maintaining overall system coordination through digital twins and cloud platforms. This segmentation reduces transmission losses and enables localized energy optimization.
Solution Approach 2:
The patent introduces digital twins as intermediary virtual models that mediate between physical energy systems and control algorithms. These digital twins enable real-time monitoring, simulation, and optimization of energy flow without requiring direct centralized control of all physical components, thereby reducing energy loss while maintaining operational ease.
2Reliability
If legacy grid systems are used, then existing infrastructure can be maintained, but real-time market integration and predictive pricing capabilities are lacking
Solution Approach 1:
The patent creates virtual copies (digital twins) of physical energy systems that replicate real-time operations, market conditions, and consumption patterns. These digital copies enable real-time market integration and predictive pricing analysis without disrupting the stability of the existing physical infrastructure.
Solution Approach 2:
The patent uses digital twins to perform preliminary simulations and predictive analytics on energy market conditions before actual market transactions occur. This allows grid operators to anticipate market fluctuations, optimize pricing strategies, and integrate real-time market information while maintaining infrastructure stability.
3Device complexity
If diverse energy sources and consumption patterns are not accounted for, then system complexity is reduced, but comprehensive energy management and efficiency optimization are impaired
Solution Approach 1:
The patent develops a universal digital twin framework that can model and manage diverse energy sources (solar, wind, fossil fuels, biomass) and various consumption patterns through a single integrated platform. This multi-functional approach comprehensively manages different energy types without proportionally increasing system complexity.
Solution Approach 2:
The patent utilizes parameter-based modeling in digital twins to represent diverse energy sources and consumption patterns through variable parameters rather than fixed structural complexity. By changing parameters rather than system architecture, the platform achieves comprehensive energy management while maintaining manageable complexity levels.
Data Source
AI summary
A system for creating an energy performance and predictive model. The system includes a non-transitory computer-readable storage medium which performs the steps obtaining parametric information objects that represent actual physical objects and modifying the parametric information objects by embedding data related to energy performance characteristics unique to the device represented. The system further performs the steps grouping the modified parametric information objects that define actual real world interrelationships to create a complete virtualized project and parsing the virtualized model data set to create a first parsed data set and a second parsed data set. The first parsed data set creates the project system control application, which acts upon and coordinates the actions of the real device through the virtual field bus. The second parsed data set creates the project's virtualized energy performance project and represents the subset of the virtualized performance environment where other virtualized devices can act upon it.