Predictive Electrochromic Window Tint Control With Neural Forecasting

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Solution Overview

Problem

Electrochromic devices, particularly electrochromic windows, have not realized their full commercial potential due to various issues despite advances in technology, including inefficiencies in controlling tint and energy savings.

Innovation Solution

A control system comprising a tintable window, a window controller, and a forecasting module that uses neural networks, such as LSTM or DNN, to process sensor data from photosensors and infrared sensors to forecast environmental conditions and adjust the tint of the window accordingly, optimizing energy efficiency and user comfort.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If electrochromic windows are used to control light transmittance, then energy savings are improved, but device complexity increases due to additional control systems and sensors required

Engineering Contradiction:
Improveenergy savingsVSAvoidcontrol system complexity
Core Design Contradiction:
Loss of energyVSDevice complexity

Solution Approach 1:

The electrochromic window system performs self-control by using integrated sensors to detect environmental conditions (light intensity, temperature) and automatically adjusting the electrochromic layer's transmittance state without requiring external control systems or user intervention, thereby reducing overall device complexity while maintaining energy savings

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The control system merges multiple functions into a single integrated unit by combining sensors, control logic, and the electrochromic actuation system into one cohesive device, reducing the number of separate components and simplifying the overall system architecture

Inventive Principle:
Principle #5Merging (Combining)

2Ease of operation

If dynamic tint adjustment is implemented, then user comfort is improved, but manufacturing complexity increases due to integration of multiple components

Engineering Contradiction:
Improveuser comfortVSAvoidmanufacturing complexity
Core Design Contradiction:
Ease of operationVSEase of manufacture

Solution Approach 1:

The window is divided into multiple independently controllable zones or segments, each with its own electrochromic layer and control capabilities, allowing dynamic adjustment of different regions to optimize user comfort while using standardized manufacturing processes for each segment

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The electrochromic window system is designed to perform multiple functions including light control, thermal insulation, and UV protection through a single device structure, eliminating the need for separate components and simplifying manufacturing while enhancing user comfort

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

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The system effectively controls the tint of electrochromic windows based on environmental forecasts, enhancing energy savings and user comfort by dynamically adjusting the window's transmittance in response to predicted weather conditions and sunlight exposure.

Implementation Method 1

Electrochromism is a phenomenon in which a material exhibits a reversible electrochemically-mediated change in an optical property when placed in a different electronic state, typically by being subjected to a voltage change. The optical property is typically one or more of color, transmittance, absorbance, and reflectance.

Methodology Applied
Scientific EffectElectrochromism: Electrochromism

Implementation Method 2

A control system comprising a tintable window, a window controller, and a forecasting module that uses neural networks, such as LSTM or DNN, to process sensor data from photosensors and infrared sensors to forecast environmental conditions

Methodology Applied
Scientific EffectNeural network processing:

Data Source

PatentUS12124147B2Control methods and systems using external 3D modeling and neural networks
Publication Date: 2024.10.22 VIEW OPERATING CORP
  • US12124147B2 patent drawing
  • US12124147B2 patent drawing
  • US12124147B2 patent drawing

AI summary

A system for controlling tinting of one or more zones of windows in a building based on predictions of future environmental conditions.