Abstract
Solar Photovoltaic System (SPV) is one of the growing green energy sources having immense penetration in the national grid as well as the off-grid around the globe. Regardless of different solar insolation level at various regions of the world, SPV performance is also affected by several factors: conversion efficiency of PV cell technology, ambient temperature and humidity, soiling and seasonal/weather patterns. The rise in PV cell temperature and soiling is found to be detrimental issues regarding power plant performance and life expectancy leading alterations in the levelised cost of energy (LCoE). In this paper, authors present a short glance about factors affecting the performance of photovoltaic modules and re-discuss their usability in cleaning intervention decision-making models. With some highlights on the essence of cleaning to mitigate the soiling issues in PV power plants, this paper presents the existing cleaning techniques and practices along with their evaluations. The need for an optimal cleaning intervention by using advanced scientific tools rather than by visual inspection is drawing the attention of PV experts. The authors finally suggest a schematic of a decision-making model which involves the use of probable parameters, data processing techniques and machine learning tools. The implementation of data science and machine learning in a solar PV panel cleaning system could be a remarkable advancement in the field of renewable energy.
Highlights
Low carbon dioxide (CO2) emission from energy conversion has been a major concern and the use of renewable energy is expected to be a prime solution
In case of desert and places like the surface of Mars having few module/s for the special purpose can have ElectroDynamic Screen (EDS) and piezoelectric based systems which are featured with light weighed and have a compact structure
The different solar panel cleaning technologies evolved so far has been structured in Table 2, which details the features, effectiveness and the disadvantages respectively
Summary
Low carbon dioxide (CO2) emission from energy conversion has been a major concern and the use of renewable energy is expected to be a prime solution. According to the Sustainable Development Scenario developed by International Energy Agency [1], it has been projected that till 2050, 32% of carbon emission shall be reduced by making the use of renewable energy sources replacing the fossil fuels. Hydropower and renewable energy sources are the major concerns for energy experts to promote green energy. Many political and technical challenges are expected to arise, while replacing non-renewable energy sources. The harvest action of wind energy and solar energy are the two strengths in the field of renewable energy to meet the expected plant capacity in the future. Solar PV is expected to be one of the renewable
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