Markov chains estimation of the optimal periodicity for cleaning photovoltaic panels installed in the dehesa

Sánchez-Barroso, Gonzalo; González-Domínguez, Jaime; Sanz, Joaquín García

doi:10.1016/j.renene.2021.07.075

Cited by 15 publications

(4 citation statements)

References 30 publications

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“…Figure 12 depicts the global distribution of contributing countries and territories for the most productive solar panel research on smart systems technology. It is an economic investment to clean the module surfaces, but the investment must be offset by a sufficient increase in energy production [85]. Economic growth appears to encourage scientific and academic investment since the most prolific papers on smart systems for solar panel research are found in all of the world's major industrialized countries.…”

Section: Geographical Distributionmentioning

confidence: 99%

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Solar Panels Dirt Monitoring and Cleaning for Performance Improvement: A Systematic Review on Smart Systems

2022

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The advancement in technology to manage energy generation using solar panels has proved vital for increased reliability and reduced cost. Solar panels emit no pollution while producing electricity as a renewable energy source. However, the solar panel is adversely affected by dirt, a major environmental factor affecting energy production. The intensity of light falling on the solar panel is reduced when dirt accumulates on the surface. This, in turn, lowers the output of electrical energy generated by the solar panel. Since cleansing the solar panel is essential, constant monitoring and evaluation of these processes are necessary to optimize them. This emphasizes the importance of using smart systems to monitor dirt and clean solar panels to improve their performance. The paper tries to verify the existence and the degree of research interest in this topic and seeks to evaluate the impact of smart systems to detect dirt conditions and clean solar panels compared to autonomous and manual technology. Research on smart systems for addressing dirt accumulation on solar panels was conducted taking into account efficiency, accuracy, complexity, and reliability, initial and running cost. Overall, real-time monitoring and cleaning of the solar panel improved its output power with integrated smart systems. It helps users get real-time updates of the solar panel’s condition and control actions from distant locations. A critical limitation of this research is the insufficient empirical analysis of existing smart systems, which should be thoroughly examined to allow further generalization of theoretical findings.

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Section: Geographical Distributionmentioning

confidence: 99%

“…energy production [85]. Economic growth appears to encourage scientific and academic investment since the most prolific papers on smart systems for solar panel research are found in all of the world's major industrialized countries.…”

Section: Integration Of Smart System For Solar Panel Monitoring and C...mentioning

confidence: 99%

Solar Panels Dirt Monitoring and Cleaning for Performance Improvement: A Systematic Review on Smart Systems

2022

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“…This is called a Markovian trait. This Markovian trait states that the probability of a future "state", provided the past "state", and state at the moment i X t = , is independent to events in the past and only depends on the current state (Yakovyna & Symets, 2021)(Sánchez-Barroso et al, 2021.…”

Section: Markov Chainsmentioning

confidence: 99%

Implementation of markov chain in predicting regeneration agricultural in Pasuruan district

Wahid

Pusakaningwati

Masud

2022

Int.J.Trends.Math.Edu.Research

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The Industrial Era 5.0 has made many positive and negative changes in various sectors, one of the negative impacts is the agricultural sector related to the lower portion of young farmers so that it must be a serious concern for the government in future agricultural development programs, especially in agricultural base areas such as in Pasuruan Regency. This situation encourages the importance of finding solutions to realize the regeneration of farmers. This study aims to analyze the transformation between generations of agricultural workers in Pasuruan Regency through the Marcov Chain model approach. The final result of this study is the analysis of transformations between generations of agricultural workers in Pasuruan Regency so that it can be used as a basis for formulating future policies for better future generations of agriculture.

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“…PV panel output can be reduced due to bird droppings, especially in dry regions, where bird droppings can accumulate, obstructing sunlight access and producing hotspots. This rapidly reduces the PV panel age, resulting in replacement [32]. According to Juhani, dust and bird droppings accumulating on solar panel surfaces are a significant problem, particularly in desert regions.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation of bird dropping and soiling on PV panel power output in a humid and dusty environment

Ali,

FATIMA,

IQBAL

et al. 2024

SJET

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Over the past few decades, the increased use of energy resources has led to an increase in electricity demand, which has compounded a constant shortage of nonrenewable energy resources. However, dust accumulation, humidity levels, temperature, and bird droppings can negatively affect the efficiency of PV systems. Bird droppings can cause shading areas and hot spots on PV cells, gradually reducing their performance. This study aims to investigate the impact of bird droppings and soiling on photovoltaic panels by developing an experimental setup. An experimental setup comprises two PV panels with monitoring and data logging sensors. During the cleaning process, one panel will be compared with a panel affected by bird droppings and soiling. The experiment was conducted for 25 days in a dusty and humid environment, affecting approximately 30% of the PV panel area by bird droppings. As a consequence, the panel's output decreased by 35%. In order to predict when the PV panel becomes completely opaque, resulting in zero power, after the experiment has been conducted, multiple linear regression techniques have been applied that show the whole panel will cover up in 82 days with bird droppings having a covering area of 128500 mm2. The experimental investigation concluded that bird dropping and soiling can significantly impact PV panel output degradation. Regular cleaning patterns will help to ensure efficient operation and maximize electricity generation.

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Markov chains estimation of the optimal periodicity for cleaning photovoltaic panels installed in the dehesa

Cited by 15 publications

References 30 publications

Solar Panels Dirt Monitoring and Cleaning for Performance Improvement: A Systematic Review on Smart Systems

Solar Panels Dirt Monitoring and Cleaning for Performance Improvement: A Systematic Review on Smart Systems

Implementation of markov chain in predicting regeneration agricultural in Pasuruan district

Experimental investigation of bird dropping and soiling on PV panel power output in a humid and dusty environment

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