HVAC system with multi-state predictive free cooling control
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Solution Overview
Problem
Traditional HVAC systems do not account for the economic costs associated with transitioning between mechanical cooling and free cooling states, leading to inefficient energy usage and equipment degradation.
Innovation Solution
A control system that calculates the minimum operating time required for free cooling to offset the costs of transitioning and predicts the availability of free cooling processes, optimizing the transition between mechanical and free cooling states based on energy savings and economic viability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system transitions between mechanical cooling and free cooling states based on temperature thresholds, then cooling functionality is provided, but equipment degradation increases and energy usage becomes inefficient due to frequent transitions
Solution Approach 1:
The controller performs preliminary calculations of minimum operating time and predictive assessments of free cooling availability before transitioning to free cooling state. This advance planning prevents premature or unnecessary transitions, reducing equipment wear from frequent state changes while ensuring cooling needs are met.
2Use of energy by moving object
If the system uses traditional free cooling control based on wet bulb temperature thresholds, then cooling is provided when outdoor conditions permit, but economic costs of transitioning are not accounted for
Solution Approach 1:
The control system performs self-service by automatically calculating minimum operating times, predicting free cooling availability, and making transition decisions without external intervention. The system serves its own optimization needs by integrating economic cost analysis directly into the control logic, balancing energy savings against transition costs.
3Loss of energy
If the system transitions to free cooling state, then energy costs are reduced, but transition costs are incurred which may offset savings for short-duration free cooling
Solution Approach 1:
The controller calculates the minimum operating time required for free cooling to become economically viable before initiating a transition. This preliminary time-based assessment ensures that transitions only occur when free cooling will operate long enough to justify the transition costs, preventing wasted energy on premature transitions.
Solution Approach 2:
The system dynamically adjusts transition decisions based on real-time calculations of minimum operating time and predictive assessments of free cooling duration. The control strategy adapts to changing conditions by continuously evaluating whether the projected free cooling operation will meet the economic threshold, optimizing the balance between transition costs and energy savings.
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 ensures economically optimal operation by determining whether free cooling is viable, reducing energy costs and equipment degradation by only transitioning to free cooling when the energy savings justify the transition costs.
Implementation Method 1
cooling towers used to provide free cooling
Implementation Method 2
uses low temperature outside air to provide cooling for a system
Data Source
AI summary
A control system includes equipment and a controller. The equipment produces a resource by executing a first process when in a first state, and produces the resource by executing a second process when in a second state. The controller calculates a minimum second state operating time based on estimated cost savings resulting from operating in the second state relative to the first state. The minimum second state operating time is a minimum time amount that the equipment must operate in the second state for the estimated cost savings to offset cost of transitioning into the second state. The controller predicts whether the second process will be available for the minimum second state operating time during future time steps. The controller transitions the equipment from the first state to the second state in response to predicting that the second process will be available for the minimum second operating state time.