Refrigerant Climate Control with Decoupled Compressor Scheduling
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Solution Overview
Problem
Conventional refrigeration climate control systems (RCCSs) operate the compressor only in response to direct cooling or heating demands, making it difficult to time-shift operations and optimize energy use based on external energy optimization signals, such as marginal emissions or pricing signals.
Innovation Solution
The system decouples the operation of compressors from thermostat demands by using energy management devices to generate control signals based on external optimization signals, allowing for opportunistic operation during low-emission periods and storing excess energy for later use, with modified receivers and electronically controlled expansion valves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the compressor operates only in response to direct cooling or heating demands, then the system maintains simple control logic, but the system cannot optimize energy use based on external energy optimization signals
Solution Approach 1:
The control system is segmented into multiple independent components: an energy management device that receives and processes energy optimization signals, a controller that generates control signals based on both thermostat demands and energy optimization signals, and the compressor itself. This segmentation allows each component to have specialized functionality, enabling energy optimization without overwhelming complexity in a single control unit.
Solution Approach 2:
The controller acts as an intermediary between the thermostat demand signals and the compressor operation. It receives both thermostat signals and energy optimization signals, processes them according to predefined logic, and generates appropriate control signals for the compressor. This intermediary role enables the system to balance immediate cooling demands with energy optimization opportunities.
2Loss of energy
If the system operates the compressor continuously to store excess energy, then energy optimization is improved, but the system reliability deteriorates due to potential refrigerant imbalances
Solution Approach 1:
The system incorporates feedback mechanisms where the controller continuously monitors system state and adjusts compressor operation accordingly. Energy optimization signals trigger compressor operation, but the system also monitors refrigerant levels and system conditions to prevent imbalances. This feedback loop ensures that energy optimization actions do not compromise system reliability.
Solution Approach 2:
The system performs preliminary actions by storing excess refrigerant in the receiver during periods when energy optimization signals indicate favorable conditions (such as low emission periods or off-peak hours). This stored refrigerant can then be used later when cooling demand arises, allowing the system to decouple compressor operation from immediate cooling demands while maintaining reliability through proper refrigerant management.
3Use of energy by moving object
If the system decouples compressor operation from thermostat demands, then energy optimization is improved, but the ease of operation deteriorates due to more complex control logic
Solution Approach 1:
The energy management device and controller are configured to automatically process energy optimization signals and generate appropriate control signals without requiring manual intervention. The system self-adjusts compressor operation based on incoming signals and predefined optimization logic, maintaining ease of operation while achieving energy optimization goals.
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 reduces energy consumption, greenhouse gas emissions, and operational costs by enabling the RCCSs to operate during lower-emission periods and utilizing excess energy, while maintaining autonomy and optimizing energy use across multiple systems.
Implementation Method 1
Heat pump systems use unique phase change properties of refrigerant to transfer heat from one location to another
Data Source
AI summary
Described herein are techniques for optimizing operation of a refrigerant climate control system using an energy management device. In an example process, the energy management device may receive an energy optimization signal that describes a characteristic associated with an electrical energy source. The process may also include the energy management device generating a control signal for a refrigerant climate control system to use the electrical energy source based at least in part on the characteristic of the energy optimization signal. The process may also include the energy management device providing the control signal to a controller of the refrigerant climate control system.