Dynamic Ventilation Control for Indoor Pollution and Energy Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern enclosed structures face challenges in minimizing indoor pollution while maintaining fresh air and energy efficiency, as they often introduce outdoor pollutants and require frequent ventilation, which can be inefficient and ineffective due to fixed regulation-based parameters.
Innovation Solution
A dynamic and adaptive ventilation system that uses user-defined criteria to optimize HVAC operations by calculating a weighted combination of conflicting requirements, including fresh air supply, indoor air quality, and energy conservation, utilizing real-time air pollution levels and historical data with machine learning and statistical methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If building envelope insulation is increased to improve energy efficiency, then energy consumption is reduced, but ventilation effectiveness during working hours is compromised due to fixed regulation-based parameters
Solution Approach 1:
The system replaces fixed, regulation-based ventilation parameters with dynamic control that adjusts airflow rates based on real-time indoor and outdoor air quality conditions. This enables the highly insulated building to maintain energy efficiency while achieving effective ventilation only when and where needed, rather than operating at constant high airflow rates
Solution Approach 2:
The system changes ventilation parameters (airflow rates, timing, duration) based on measured air quality conditions and predictive pollution data. By adjusting these parameters dynamically, the system achieves effective pollutant removal and fresh air supply in highly insulated buildings without the energy penalty of continuous high-rate ventilation
2Object-affected harmful factors
If ventilation is operated during working hours to maintain fresh air levels, then indoor oxygen levels are maintained, but energy consumption increases due to pollution introduction and continuous operation
Solution Approach 1:
The system uses predictive air quality models and outdoor pollution forecasts to anticipate periods of high pollution before they occur. This allows the system to pre-ventilate the building during periods of low outdoor pollution, storing fresh air in the building's thermal mass and air volumes, thereby reducing or eliminating the need for ventilation during high-pollution working hours
Solution Approach 2:
Instead of continuous ventilation operation, the system implements periodic ventilation cycles synchronized with outdoor pollution patterns. By concentrating ventilation activities during low-pollution periods and utilizing the building's air volumes and thermal mass to maintain air quality during occupied periods, the system significantly reduces energy consumption while maintaining fresh air supply
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The disclosure relates to libraries used in conjunction with integrated ventilation and temperature controls for enclosed structures. Specifically, the disclosure is directed to libraries, systems and methods for minimizing pollution while simultaneously conserving energy and maintaining required levels of fresh air inside a multi-storied structure and its internal spaces, in an optimal manner, utilizing dynamic, user-defined threshold values and implementing strategies based on user defined goals.