Cooling and heating methodology and systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing window control systems do not effectively utilize temperature differentials to optimize heating and cooling by automatically adjusting window positions based on current and target indoor and outdoor temperatures, leading to inefficient energy use and comfort issues.
Innovation Solution
A system that periodically or continuously monitors indoor and outdoor temperatures, adjusting window positions to open or close based on temperature differentials, prioritizing natural airflow through window-based subsystems and transitioning to duct-based subsystems when necessary to maintain target indoor temperatures, while also considering temperature forecasting for proactive control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If windows are kept closed to maintain indoor temperature control, then temperature stability is improved, but energy efficiency deteriorates due to loss of natural ventilation opportunities
Solution Approach 1:
The window control system dynamically adjusts window positions based on real-time temperature differentials between indoor and outdoor environments. The system transitions windows between closed and open states according to whether the temperature differential favors natural cooling or heating, optimizing both temperature stability and energy efficiency through adaptive control.
Solution Approach 2:
The system continuously monitors indoor and outdoor temperatures and uses this feedback to determine optimal window positions. By comparing current temperatures with target temperatures and calculating temperature differentials, the system makes informed decisions about when to open or close windows, ensuring temperature stability is maintained while capturing energy-saving opportunities from natural ventilation.
2Use of energy by moving object
If windows are opened for natural ventilation, then energy efficiency is improved, but temperature control precision deteriorates
Solution Approach 1:
The system opens windows only partially or for limited durations when temperature differentials indicate beneficial natural ventilation conditions. This partial action approach captures enough natural airflow to improve energy efficiency while limiting the duration and extent of opening to maintain temperature control precision within acceptable tolerances.
Solution Approach 2:
The system changes operational parameters such as window opening degree, opening duration, and timing based on temperature differential magnitude. When temperature differentials are large and favorable, the system allows greater opening; when differentials are small or unfavorable, the system reduces opening extent to maintain temperature precision.
3Device complexity
If manual window control is used, then system complexity is reduced, but productivity deteriorates due to lack of automated temperature optimization
Solution Approach 1:
The window control system operates autonomously by self-monitoring temperature conditions and self-adjusting window positions without requiring manual intervention. The system calculates temperature differentials, determines optimal window states, and executes control actions automatically, providing self-service temperature optimization that improves productivity while maintaining reasonable system complexity.
Solution Approach 2:
The system replaces manual mechanical window operation with automated electronic control. Temperature sensors, microcontrollers, and actuators substitute for human hands and brains in the window control process, enabling continuous automated temperature optimization without significantly increasing overall system complexity.
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
This solution enhances energy efficiency by leveraging natural ventilation, reduces energy costs, and improves indoor comfort by dynamically adjusting to temperature changes, ensuring effective heating and cooling within set tolerable ranges.
Implementation Method 1
The window-based subsystem cools or heats the structure by encouraging airflow through the window based on a temperature differential between the interior and exterior of the window
Data Source
AI summary
Techniques for heating and/or cooling a structure including are described. The system may determine that a current indoor temperature is higher than both the current outdoor temperature and the target indoor temperature. Based on the determination, the system (in a cooling mode) may determine that a window opening criteria is met for opening one or more windows. Responsive to determining that the window opening criteria has been met, the system may instruct a window control mechanism to modify a state of the window from (a) a closed position that prevents airflow through the window to (b) an open position that allows for airflow through the window to cool a structure. Similarly, the system in a heating mode may open one or more windows when the current indoor temperature is lower than both the target indoor temperature and the current outdoor temperature.