Hybrid heat system, capacity allocation control method thereof, readable storage medium and control system
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Solution Overview
Problem
In hybrid heat systems with multiple modular units, optimizing compressor capacity allocation is challenging due to varying operating modes and the need for efficient addition or removal of units, leading to inefficiencies and reliability issues.
Innovation Solution
A capacity allocation control method that classifies, sorts, and searches compressors based on unit category, start-stop state, and historical operating time to efficiently manage compressor capacity loading and unloading in different operating modes, ensuring energy efficiency and system balance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple modular units are added to expand system capacity, then the system can meet additional cooling/heating/water heating demands, but the complexity of compressor capacity allocation control increases
Solution Approach 1:
The patent segments the hybrid heat system into multiple independent modular units (heat recovery units and air-conditioning units), each with its own compressor. This segmentation allows the system to scale capacity by simply adding or removing modules without increasing overall control complexity, as each module operates semi-independently with standardized control protocols.
Solution Approach 2:
The patent implements universal control algorithms that can manage compressors across different unit types (heat recovery and air-conditioning) and different operating modes (cooling, heating, water heating). The same control logic handles capacity allocation regardless of which specific modular units are active, reducing control complexity despite system expansion.
2Use of energy by moving object
If compressors are frequently started and stopped to optimize capacity allocation, then energy efficiency improves, but reliability decreases due to increased wear
Solution Approach 1:
The control system performs preliminary assessment of compressor states, operating times, and system demands before making start-stop decisions. By evaluating historical operating data and predicting future needs, the system minimizes unnecessary start-stop cycles while still achieving energy efficiency goals, thereby protecting compressor reliability.
Solution Approach 2:
The patent implements periodic monitoring and evaluation of compressor operating times and system capacity allocation needs. Rather than continuous or frequent adjustments, the system uses periodic control cycles to make optimized start-stop decisions, reducing wear while maintaining energy efficiency through regular optimization.
3Reliability
If compressors with longer operating times are prioritized for shutdown to balance wear, then reliability improves, but energy efficiency may worsen due to suboptimal capacity allocation
Solution Approach 1:
The control system dynamically changes the priority parameter for compressor selection based on real-time conditions. Instead of a fixed priority rule, the system adjusts which compressors are selected for shutdown by considering both operating time (for reliability) and current energy efficiency performance (for energy optimization), creating a balanced decision criterion that adapts to changing system states.
Solution Approach 2:
The patent implements feedback mechanisms that continuously monitor both compressor wear indicators (operating times) and energy efficiency metrics. This dual feedback loop allows the control system to make capacity allocation decisions that simultaneously consider reliability improvement through wear balancing and energy efficiency maintenance, resolving the contradiction between these two objectives.
Data Source
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AI summary
The present application provides a hybrid heat system (100), a capacity allocation control method thereof, a readable storage medium and a control system. The hybrid heat system (100) comprises a plurality of modular heat recovery units (111, 112) with an air-conditioning mode and a water-heating mode, and a plurality of modular air-conditioning units (121, 122, 123, 124) with an air-conditioning mode, the capacity allocation control method comprising: a classification step (S100) for classifying the compressors (111a, 112a, 121a, 122a, 122b, 123a, 123b, 124a, 124b, 124c, 124d) in the plurality of modular heat recovery units (111, 112) and the plurality of modular air-conditioning units (121, 122, 123, 124) according to unit category, unit state and start-stop state; a sorting step (S200) for sorting classified compressors according to operating time; and a search step (S300) for searching target compressors from sorted compressors based on preset energy efficiency search criteria. The capacity allocation control method for a hybrid heat system (100) makes it possible to find target compressors that satisfy customers' operating requirements and the purpose of energy efficiency optimization, and to achieve the effect of balancing the operating time of each compressor and improving the overall reliability of the system.