Refrigerated Cargo Pre-Cooling for Door-Opening Temperature Control
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Solution Overview
Problem
Refrigerated transport systems face high energy consumption and temperature integrity challenges due to door opening events, where traditional feedback-based automation systems struggle to maintain temperature control effectively.
Innovation Solution
A predictive method that calculates the thermal load caused by door opening events based on ambient and cargo space conditions, using pre-cooling profile information to determine an optimal distribution path for the refrigerated transport vehicle, incorporating pre-cooling operations to regulate temperature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional feedback-based automation systems are used for temperature control, then the system is easy to implement, but temperature integrity cannot be maintained during door opening events
Solution Approach 1:
The system performs pre-cooling operations before door opening events by predicting the thermal load that will be introduced when the door is opened. The controller calculates the expected temperature increase based on ambient conditions, door opening duration, and cargo characteristics, then activates the refrigeration unit in advance to counteract the anticipated thermal intrusion, thereby maintaining temperature integrity without requiring complex real-time feedback adjustments during the door opening event
2Temperature
If curtains are used to prevent sharp temperature increase during door opening, then temperature control is improved to a certain degree, but energy consumption remains high
Solution Approach 1:
The system dynamically adjusts the refrigeration unit operation based on predicted thermal load rather than using static curtain barriers. The controller calculates the required pre-cooling duration and intensity based on real-time ambient conditions, door opening duration, and cargo thermal characteristics, allowing the refrigeration unit to operate at optimized power levels only when and where needed, thereby reducing overall energy consumption compared to continuous operation or curtain-based passive control
3Reliability
If pre-cooling operations are implemented based on predicted thermal load, then temperature integrity is maintained, but system complexity increases
Solution Approach 1:
The system uses a prediction-based feedback mechanism where the controller continuously monitors ambient temperature, humidity, door opening duration, and cargo characteristics to calculate the expected thermal load. This predicted thermal load feeds back into the control algorithm to determine the appropriate pre-cooling duration and intensity, creating a closed-loop system that maintains temperature integrity through intelligent prediction rather than complex hardware modifications
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 approach enhances temperature control during door opening events, improving energy efficiency and maintaining product quality by anticipating and mitigating thermal losses through pre-cooling operations.
Implementation Method 1
A processor determines a distribution path for the refrigerated transport vehicle based on the predicted thermal load caused by the door opening event and the obtained pre-cooling profile information, wherein the distribution path is associated with the pre-cooling operation
Data Source
AI summary
In an approach, a processor predicts a thermal load caused by a door opening event in at least part of a cargo space of a refrigerated transport vehicle based on, at least, an external ambient condition, environmental factors within the cargo space, and a duration of the door opening event. A processor obtains pre-cooling profile information describing cargo space temperature performance with a pre-cooling operation under conditions corresponding to, at least, the predicted thermal load caused by the door opening event. A processor determines a distribution path for the refrigerated transport vehicle based on the predicted thermal load caused by the door opening event and the obtained pre-cooling profile information, wherein the distribution path is associated with the pre-cooling operation.