Photovoltaic Panel Cleaning Demand Evaluation via Meteorological Index
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Solution Overview
Problem
Photovoltaic power stations rely on manual experience or regular cleaning methods to assess cleaning demand, which are inaccurate and inefficient, failing to meet the actual cleaning needs of photovoltaic panels.
Innovation Solution
A method and system for evaluating cleaning demand of photovoltaic panels based on environmental meteorological influences, calculating a comprehensive pollution index, determining power attenuation rates, and optimizing cleaning cycles and times using big data and machine learning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual experience determination method or regular cleaning method is used, then cleaning operation is simple to implement, but cleaning accuracy and power generation optimization are insufficient
Solution Approach 1:
The evaluation system segments the cleaning demand assessment into multiple independent modules: environmental pollution factor module, meteorological dynamic factor module, meteorological thermodynamic factor module, and comprehensive index calculation module. Each module processes specific parameters independently, then integrates results to achieve high-precision cleaning demand assessment without requiring overly complex unified system design.
Solution Approach 2:
The patent introduces a comprehensive index (PEM) as an intermediary that bridges environmental pollution factors, meteorological factors, and cleaning demand assessment. This intermediate parameter synthesizes multiple influencing factors into a single quantitative metric, enabling accurate cleaning timing determination without directly complexly integrating all original parameters.
2Productivity
If cleaning frequency is increased, then power generation efficiency is maintained, but cleaning costs increase excessively
Solution Approach 1:
The system performs preliminary assessment of cleaning demand by continuously monitoring environmental pollution factors and meteorological conditions before actual cleaning operations. The comprehensive index calculation predicts when cleaning will be beneficial, allowing advance planning of cleaning schedules that optimize power generation efficiency while avoiding unnecessary cleaning operations that would increase costs.
Solution Approach 2:
The patent implements feedback mechanisms where actual power generation data and cleaning results are fed back into the evaluation system. The system compares predicted cleaning benefits with actual outcomes, continuously refining the comprehensive index calculation and cleaning timing recommendations to achieve optimal balance between power generation efficiency and cleaning cost reduction.
Data Source
AI summary
A method and system for evaluating cleaning demand of a photovoltaic panel based on environmental meteorological influence is provided. The method includes: determining a photovoltaic-panel generated power attenuation rate based on a photovoltaic-panel pollution environmental meteorological comprehensive index; determining a maximum surplus of a photovoltaic power station based on the attenuation rate, where a cleaning cycle corresponding to the maximum surplus is an optimal cleaning cycle; determining a cumulative amount of the comprehensive index in the optimal cleaning cycle as an optimal cumulative amount of the comprehensive index; calculating a standardized clean index of the photovoltaic panel based on the optimal cumulative amount of the comprehensive index; determining an influence index of meteorological elements on the photovoltaic panel in a predetermined time; and evaluating the cleaning cycle and determining an optimal cleaning time based on the influence index and the standardized clean index of the photovoltaic panel.