US-12619206-B2 - Time modular energy-industrial systems and their designs, architectures, operations, and methods of optimization

US12619206B2US 12619206 B2US12619206 B2US 12619206B2US-12619206-B2

Abstract

A time modular system architecture capable of deforming energy industrial information productive inventories as a current demand topography evolves over time is provided. In embodiments, the system comprises an energy source, a productive component, a network component and a digital component. The energy source outputs energy. The productive component comprises a product (taken in the expansive meaning of any goods or services produced in the economy) output by the system. The network component connects the energy source to the productive component. The digital component determines shifts in demand of the productive component, manages automated systems, and optimizes the energy source based on the shifts in demand of the productive-consumptive component. Each of the energy source, network component and productive component are dynamically modified to optimize utilization based on supply and demand to deliver higher economic and societal intensity per unit of energy source(s).

Inventors

Robert Freda
Robert Charles O'Brien
Siddharth Pannir

Assignees

Robert Freda
Robert Charles O'Brien
Siddharth Pannir

Dates

Publication Date: 20260505
Application Date: 20230310

Claims (13)

1 . A time modular system architecture that deforms energy industrial, and information productive inventories to a current supply and demand topography that evolves over time, the system comprising: an energy source that outputs energy, the energy source comprising a plurality of mobile modular energy sources that are deployed in analytically determined combinations to provide energy to an analytically determined productive demand; a productive component comprising a mobile modular productive capacity and a product offering output by the system, wherein an analytically determined productive capacity is matched to a first combination of mobile modular energy sources of the plurality of mobile modular energy sources that supply the productive component to meet an analytically determined first demand for the product; a network component that connects the plurality of mobile modular energy sources to the mobile modular productive capacity to meet the analytically determined first demand for the product; and a digital component that determines shifts in demand of the productive component from the analytically determined first demand to an analytically determined second demand and optimizes the energy source by (i) initially allocating the first combination of the plurality of mobile energy sources and mobile modular productive capacity necessary to supply the analytically determined first demand for the product at a first location and (ii) subsequently physically reallocating and relocating mobile modular productive capacity unnecessary to satisfy the analytically determined second demand at the first location away from the first location based on the shift in demand of the productive component; wherein each of the energy source, network component and productive component are dynamically modified as inventories to optimize utilization based on supply and demand to deliver higher economic and societal intensity per energy source.
2 . The system of claim 1 wherein the energy source comprises a microreactor.
3 . The system of claim 2 wherein the microreactor is one of a nuclear fission and fusion microreactor.
4 . The system of claim 1 wherein the digital component comprises an Internet of Things (IoT) inventory module that measures demand.
5 . The system of claim 4 wherein the IoT inventory module comprises consumptive premise equipment configured to measure the demand.
6 . The system of claim 1 wherein the digital component comprises a digital purchasing management channel.
7 . The system of claim 1 wherein the digital component manages automated systems and optimizes the energy source based on the shifts in demand of the productive component.
8 . The system of claim 1 wherein the product comprises one of energy, food, water, and health services.
9 . The system of claim 1 wherein the product comprises at least one of goods and services produced in an economy.
10 . A method of deforming energy, industrial, and information productive inventories based on evolving demand topography, the method comprising: providing a first allocation of energy equipment inventory at a first location, the first allocation of energy equipment inventory inventories including a plurality of mobile energy sources; providing productive equipment inventories that produce a first allocation of production using the first allocation of energy equipment inventory; outputting product inventories from the first allocation of production based on the first allocation of energy equipment inventory; determining a change in at least one of demand, inventory performance and return on investment (ROI) related to the outputted product inventories from a first value to a second value; and modifying the first allocation of the energy equipment inventory to a second allocation of energy equipment inventory using a distinct quantity of mobile energy sources from the first allocation of energy equipment inventory to optimize capacity utilization based on the change, wherein the modifying comprises physically relocating unnecessary mobile energy sources to satisfy the second value and the productive equipment inventories away from the first location.
11 . The method of claim 10 wherein the first allocation of energy equipment inventory is managed over time algorithmically to optimize productive performance of the energy equipment inventory and the productive equipment inventory.
12 . The method of claim 11 wherein the first allocation of energy equipment inventory and the productive equipment inventory are optimized using artificial intelligence.
13 . The method of claim 10 wherein the first allocation of energy equipment inventory and the productive equipment inventory are optimized using neural networks.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS This application claims the benefit of U.S. Provisional Application No. 63/318,572 filed Mar. 10, 2022. The disclosure of the above application is incorporated herein by reference. FIELD The present disclosure relates to time modular energy-industrial systems. BACKGROUND A true modular system is a system that exhibits modularity in x, y, z, and time (t). Systems adaptable in t in the physical dimension and the system architectures, management systems, algorithms, and methods to optimize their performance are unknown in the art. Modular systems and platform systems currently described in the art or reduced to practice such as Mero truss systems or the CE platforms for laptops, tablets, or phones, are fixed in physical form and function at the time of their assembly and are not designed for either the system, sub-systems, or components from the energy and equipment level to the product level to be upgraded on a standardized basis or thereby to be adapted to the next state of technology or demand or function either partially or wholly. The only systems adaptable in situ today are networked digital software systems. Current definitions of and art in modularity are limited to the platform/standard interpretation of the term and remain focused on modular components and commodity positioning in systems such as Radically Engineered Modular Systems for coal gasification or automotive and CE platform systems. Such systems do not leverage the advantages of modularity and the potentials of modular production and energy equipment and systems designed for mobility. Therefore modularity's effect on system performance under the assumed constraints is limited. Modular systems need not be designed to the assumed constraints and may be designed specifically to eliminate said constraints from energy-industrial systems. SUMMARY A time modular system architecture capable of deforming energy industrial information productive inventories as a current demand topography evolves over time is provided. In embodiments, the system comprises an energy source, a productive component, a network component and a digital component. The energy source outputs energy. The productive component comprises a product (taken in the expansive meaning of any goods or services produced in the economy) output by the system. The network component connects the energy source to the productive component. The digital component determines shifts in demand of the productive component, manages automated systems, and optimizes the energy source based on the shifts in demand of the productive-consumptive component. Each of the energy source, network component and productive component are dynamically modified to optimize utilization based on supply and demand to deliver higher economic and societal intensity per unit of energy source(s). In examples the energy source is a mobile energy source. In examples, the energy source can be a microreactor. The mircroreactor can be one of a nuclear fission and fusion microreactor. The digital component can comprise an Internet of Things (IoT) inventory of modules (consumption premise equipment) that measure demand. In other examples, the digital component can comprise a digital purchasing management channel. In examples, the product can comprise one of energy, food, water and health services. A method of deforming energy industrial information productive inventories based on evolving demand topopgraphy is provided. The method comprises providing a first allocation of energy equipment inventory. The energy equipment inventories include a plurality of mobile energy sources. Product inventories are output based on the first energy equipment inventory allocation. A change in at least one of demand, inventory performance and return on investment (ROI) is determined related to the outputted product inventories. The first allocation of the energy equipment inventory is modified to a second allocation of energy equipment inventory using a distinct quantity of the mobile energy sources from the first allocation to meet utilization based on the change. In examples, the energy equipment inventory is managed over time algorithmically to optimize the productive performance of the energy-equipment inventory. In some examples, the energy equipment inventory can be optimized using artificial intelligence. In other examples, the energy equipment inventory can be optimized using neural networks. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a schematic of an integration of multiple productive and processing uses in combined systems across an economy integrating energy, information, infrastructure and industry in modular productive packages according to the principles of the present disclosure; FIGS. 2A-2B is a schematic of applications of combined systems in industry (2e-2j) to transport of goods and people (2k-2m) and integrated revenue producing infrastructure (2n-2q) all integrated by artificial intellig