Predictive Ventilation Control for HVAC Energy and Equipment Life
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Solution Overview
Problem
Existing HVAC systems consume energy and wear out equipment quickly, leading to increased maintenance and operational costs, necessitating a more efficient method for temperature control in buildings.
Innovation Solution
A predictive method for operating HVAC systems that monitors interior and exterior temperatures, predicts future temperature conditions, and adjusts ventilation and cooling subsystems based on historical operational data to optimize energy use and reduce equipment strain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If HVAC systems operate continuously to maintain temperature control, then temperature stability is improved, but energy consumption increases and equipment wear accelerates
Solution Approach 1:
The system performs preliminary cooling or heating actions during periods of low occupancy or favorable external conditions (such as nighttime when outdoor temperatures are lower). By pre-conditioning the building envelope and thermal mass before peak demand periods, the HVAC system can reduce or suspend operation during high-demand periods, thereby reducing overall energy consumption while maintaining temperature stability.
2Manufacturing precision
If mechanical cooling systems are used to maintain interior temperature, then temperature control precision is improved, but equipment wear and failure rate increase
Solution Approach 1:
The system utilizes the building's thermal mass, envelope insulation, and natural ventilation opportunities to perform a portion of the temperature control function. By leveraging these passive thermal regulation mechanisms, the mechanical cooling system operates less frequently and at lower intensities, reducing wear and extending equipment life while maintaining adequate temperature control precision through the combined passive-active system.
3Object-generated harmful factors
If exterior air dampers are used to circulate fresh air, then indoor air quality is improved, but energy loss increases when exterior air is warmer than interior air
Solution Approach 1:
The system dynamically adjusts the exterior air damper position based on real-time comparisons of outdoor versus indoor temperature and humidity conditions, along with occupancy patterns. When outdoor conditions are unfavorable (higher temperature or humidity), the damper closes to prevent energy loss. When conditions are favorable or occupancy requires fresh air exchange, the damper opens to appropriate degrees, optimizing the balance between indoor air quality and energy conservation.
Data Source
AI summary
A method for operating a temperature control system is disclosed. The method includes monitoring an interior and exterior temperature of a structure, defining a first time range and a second time range, associating one or more operating parameters of the temperature control system with the first time range, associating one or more operating parameters of the temperature control system with the second time range, monitoring operational time and operational load of the cooling system for the first time range, predicting a space temperature and an outdoor air temperature for a subsequent time period, and controlling a ventilation subsystem during the second time range based upon the monitored operational time and operational load of the cooling subsystem for the first time range, the predicted space temperature, the predicted outdoor air temperature, and the one or more operating parameters of the cooling subsystem associated with the second time range.


