Hybrid heat system, the capacity allocation control method thereof, readable storage medium and control system
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Solution Overview
Problem
The challenge of optimizing compressor capacity allocation in hybrid heat systems with modular units, which face frequent additions or deletions, is not adequately addressed by existing technologies.
Innovation Solution
A capacity allocation control method that classifies, sorts, and searches compressors in modular heat recovery and air-conditioning units based on unit category, start-stop state, and historical operating time, using energy efficiency criteria to find target compressors that meet user requirements and optimize energy efficiency and system reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If modular units are added or deleted to meet additional demands, then the system's adaptability and application range are improved, but the complexity of optimizing compressor capacity allocation increases
Solution Approach 1:
The system segments compressors into different groups (first group for heat recovery units, second group for air-conditioning units) and further divides them into subgroups based on operating states (third, fourth, fifth groups). This segmentation allows independent control and optimization of each segment, making the overall complex system manageable and adaptable to different configurations.
Solution Approach 2:
The control method dynamically adjusts compressor capacity allocation based on real-time operating conditions. Compressors are sorted by historical operating time and selectively started or stopped based on current system demands and energy efficiency criteria, enabling the system to adapt dynamically to changing loads and maintain optimal performance.
2Speed
If compressors are frequently started and stopped to meet varying demands, then the system's responsiveness is improved, but the reliability and operating stability deteriorate
Solution Approach 1:
The system performs preliminary sorting of compressors by historical operating time before actual load changes occur. When capacity adjustment is needed, compressors with shorter operating histories are prioritized for starting, while those with longer histories are prioritized for stopping. This preliminary organization ensures that reliability considerations are built into the control logic before dynamic adjustments are made.
Solution Approach 2:
The control method continuously monitors compressor operating states and historical data, using this feedback to make intelligent decisions about which compressors to start or stop. The system learns from past operating patterns and adjusts capacity allocation to minimize unnecessary start-stop cycles while maintaining responsiveness to load changes.
3Productivity
If compressor capacity is increased to meet higher demands, then the system's productivity is improved, but the energy efficiency deteriorates
Solution Approach 1:
The system applies different control strategies to different compressor groups based on their specific characteristics and operating conditions. Heat recovery unit compressors and air-conditioning unit compressors are controlled differently, and within each group, compressors are further differentiated by their operating states. This localized control ensures that each compressor operates in its most efficient range while meeting overall system capacity requirements.
Solution Approach 2:
The control method changes operational parameters (which specific compressors are active, their capacity levels) based on real-time system conditions and historical performance data. By dynamically adjusting which compressors run and at what capacity, the system maintains high productivity while optimizing energy efficiency, avoiding the inefficiencies associated with always running at maximum capacity.
Data Source
AI summary
A hybrid heat system, a capacity allocation control method thereof, a readable storage medium and a control system. The hybrid heat system includes a plurality of modular heat recovery units with an air-conditioning mode and a water-heating mode, and a plurality of modular air-conditioning units with an air-conditioning mode, the capacity allocation control method including: a classification step S100 for classifying the compressors in the plurality of modular heat recovery units and the plurality of modular air-conditioning units 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.