Distributed Energy Storage Feedforward Layout for Peak Load Balancing

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Solution Overview

Problem

Existing energy storage systems in modular construction and 3D-printed buildings are costly and inefficient, leading to high upfront capital costs and minimal reduction in total building system costs, with limited ability to balance peak demand and reduce environmental footprint.

Innovation Solution

A distributed and decoupled energy storage system that utilizes feedforward control with integrated energy storage devices strategically placed near high peak demand consumers, allowing for concurrent energy supply from multiple sources, including local and remote power generating sources, to minimize energy transmission ratings and costs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If energy storage systems are integrated into modular construction and 3D-printed buildings, then energy efficiency and renewable energy adoption are improved, but upfront capital costs and total building system costs increase

Engineering Contradiction:
Improveenergy efficiencyVSAvoidupfront capital costs
Core Design Contradiction:
ProductivityVSEase of manufacture

Solution Approach 1:

The energy storage system is divided into multiple distributed units that can be strategically placed throughout the building rather than using a single centralized system. This segmentation allows for optimized local energy management while reducing overall system costs and improving scalability in modular construction

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Energy storage devices are pre-integrated into modular building components during the manufacturing process rather than installed separately after construction. This preliminary integration reduces installation costs and allows the energy storage capability to be included as a standard feature in modular units

Inventive Principle:
Principle #10Preliminary action

2Productivity

If energy storage devices are strategically placed near high peak demand consumers, then load-balancing is enhanced and transmission costs are reduced, but system complexity increases

Engineering Contradiction:
Improveload-balancingVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

Different parts of the building are equipped with energy storage devices based on their specific energy demand patterns. High peak demand areas receive priority storage capacity, while low demand areas use minimal or no local storage. This localized approach optimizes load-balancing without requiring uniform complexity throughout the entire system

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

A control system continuously monitors energy consumption patterns and automatically adjusts the charging and discharging of distributed energy storage devices. This feedback mechanism enables intelligent load-balancing and coordination between multiple storage units without requiring complex manual configuration or centralized control

Inventive Principle:
Principle #23Feedback

3Ease of manufacture

If distributed energy storage is implemented, then transmission ratings and costs are minimized, but device placement and coordination complexity increases

Engineering Contradiction:
Improvetransmission costsVSAvoiddevice placement complexity
Core Design Contradiction:
Ease of manufactureVSDevice complexity

Solution Approach 1:

The distributed energy storage devices are designed with universal interfaces and standardized mounting configurations that can be adapted to various building types and locations. This universality simplifies the placement process across different modular units while maintaining the ability to reduce transmission costs through strategic distribution

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

Each distributed energy storage device is equipped with autonomous control capabilities that allow it to independently manage its own charging and discharging operations based on local conditions. This self-service approach eliminates the need for complex centralized coordination while still achieving optimal transmission cost reduction through collective behavior of the distributed units

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250038534A1Feedforward Dynamic and Distributed Energy Storage System
Publication Date: 2025.01.30 GURIN MICHAEL
  • US20250038534A1 patent drawing
  • US20250038534A1 patent drawing
  • US20250038534A1 patent drawing

AI summary

A system and method for energy distribution leveraging dynamic feedforward allocation of distributed energy storage using multiple energy distribution pathways to maximize load-balancing to accelerate return on investment, reduce system energy consumption, and maximize utilization of existing energy infrastructure particularly for modular construction. An optimal energy consumer configuration utilizes at least two distinct and isolated energy sources to eliminate conduit.