US 12,332,620 B2
System and method of energy supply chain management and optimization through an energy virtual twin
Cevat Yerli, Frankfurt am Main (DE)
Assigned to TMRW Group IP, Luxembourg (LU)
Filed by TMRW Group IP, Luxembourg (LU)
Filed on Apr. 27, 2022, as Appl. No. 17/730,695.
Prior Publication US 2023/0350363 A1, Nov. 2, 2023
Int. Cl. G05B 19/042 (2006.01)
CPC G05B 19/042 (2013.01) [G05B 2219/2639 (2013.01)] 26 Claims
OG exemplary drawing
 
1. An energy supply chain management and optimization system, comprising:
an energy system comprising a plurality of inter-connected micro-grids connected to at least one macro-grid, the energy system communicatively coupled to one or more computing devices through an energy network, the one or more computing devices comprising at least one processor and memory storing computer code which, in response to execution by the at least one processor, causes the one or more computing devices to implement:
a persistent virtual world system mapped according to a real world and comprising a plurality of virtual objects including at least one virtual replica of a corresponding real world element, wherein some of the virtual replicas comprise energy replicas of corresponding energy-related devices from the energy system; and
a decentralized energy management system communicatively coupled to the persistent virtual world system and comprising:
an energy control system configured to, through simulation in the persistent virtual world system, digitally integrate and control energy flows based on data received from the energy system; and
an energy market platform enabling energy aggregation and exchange between energy-related devices using the persistent virtual world system;
wherein the energy control system is configured to perform one or more concurrent goal oriented simulations in corresponding verses comprising:
an operation verse configured to define control strategies for preserving quality and reliability of energy supply and for controlling flows of energy in the energy network;
a prediction verse configured to forecast energy demand and generation in a plurality of scenarios; and
an analytics verse configured to perform augmented and prescriptive analytics;
wherein energy control strategies implemented by the energy control system through the one or more concurrent goal-oriented simulations are based on optimizing energy generation and distribution as a factor of lowest energy cost, lowest carbon emissions and security of energy supply.