A method and system for evaluating operation benefits of a photovoltaic energy storage air conditioning system
By constructing a multi-energy flow time-series dataset and a hierarchical quantitative evaluation method, the problems of unreasonable energy coupling and energy storage life decay in photovoltaic energy storage air conditioning systems were solved, and the efficient collaborative operation and economic optimization of the system were achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGXI TECHCAL COLLEGE OF MACHINERY & ELECTRICITY
- Filing Date
- 2026-03-18
- Publication Date
- 2026-06-02
AI Technical Summary
Existing technologies are insufficient to reflect the overall operational benefits under multi-energy flow coupling conditions in photovoltaic energy storage air conditioning systems. They lack comprehensive consideration of long-term operational benefits, energy storage life reduction, and economic discounting factors, and cannot provide targeted optimization strategies. Furthermore, they are difficult to identify problems such as unreasonable energy allocation, low energy storage utilization, and decreased air conditioning system efficiency.
By constructing a multi-energy flow time-series dataset, the dynamic collaborative operation benefit index, coupling loss identification index, and lifetime discounted comprehensive benefit index are calculated to achieve hierarchical quantitative evaluation of photovoltaic power generation, energy storage regulation, and air conditioning load. When threshold conditions are not met, optimization strategies are automatically triggered to form a closed-loop control mechanism.
It improved the overall collaborative operation level of the system, reduced the overall energy loss, enhanced the long-term operating economy, and solved the problems of energy coupling imbalance and energy storage life decay through automatic optimization strategies.
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