What people can do with solar radiation
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Applications and Benefits of Solar Radiation
Health Benefits of Solar Radiation
Vitamin D Synthesis and Health Implications
Solar radiation plays a crucial role in the synthesis of vitamin D in the human body. Moderate exposure to sunlight helps in the production of vitamin D, which is essential for bone health and the prevention of diseases such as rickets and osteomalacia. Additionally, adequate levels of vitamin D are associated with a reduced risk of cardiovascular diseases, multiple sclerosis, rheumatoid arthritis, diabetes, influenza, various types of cancer, and adverse pregnancy outcomes1.
Mental Health and Blood Pressure
Exposure to sunlight has been shown to have positive effects on mental health by reducing symptoms of depression and improving overall mood. This is partly due to the release of nitric oxide in tissues, which also contributes to the reduction of blood pressure, thereby promoting cardiovascular health1.
Risks of Sun Exposure
While moderate sun exposure has its benefits, excessive exposure can lead to adverse effects such as erythema (skin redness), photoimmunosuppression, photoaging, photocarcinogenesis (skin cancer), cataracts, and photokeratitis (corneal inflammation)1. Therefore, it is important to balance sun exposure to maximize health benefits while minimizing risks.
Solar Radiation in Energy Utilization
Solar Energy and Economic Considerations
Solar radiation is a fundamental resource for solar energy applications, which are crucial for sustainable energy solutions. Accurate data on global solar radiation is essential for optimizing the efficiency and economic viability of solar energy systems2.
Machine Learning Models for Solar Radiation Prediction
Due to the variability and sometimes limited availability of solar radiation measurements, machine learning models have become valuable tools for predicting global solar radiation. These models can handle complex, nonlinear problems and provide accurate predictions, which are essential for planning and optimizing solar energy systems2.
Input Parameters and Feature Selection
Machine learning models for solar radiation prediction utilize various input parameters, including data from surface meteorological observation stations, satellite-based data, and numerical weather prediction re-analyzed data. Feature selection methods such as filter, wrapped, and embedded techniques are employed to enhance model accuracy2.
Future Research Directions
Ongoing research aims to improve the accuracy and reliability of machine learning models for solar radiation prediction. This includes the development of novel models and the refinement of existing ones, ensuring that solar energy systems can be effectively integrated into the energy grid and contribute to environmental sustainability2.
Conclusion
Solar radiation has diverse applications and benefits, ranging from health improvements through vitamin D synthesis and mental health enhancement to its critical role in solar energy utilization. While moderate sun exposure is beneficial, it is essential to manage exposure to avoid adverse health effects. Advances in machine learning models are enhancing our ability to predict solar radiation accurately, thereby optimizing the use of solar energy for economic and environmental benefits.
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Most relevant research papers on this topic
Solar radiation and human health
Moderate sun exposure can provide vitamin D synthesis, reduce blood pressure, and improve mental health, while excessive sun exposure can cause skin damage and increase cancer risk.
Highly CitedA review on global solar radiation prediction with machine learning models in a comprehensive perspective
Machine-learning models can effectively predict global solar radiation, offering valuable information for solar energy utilization and environmental considerations.
Systematic ReviewHighly CitedA Novel Machine Learning Approach for Solar Radiation Estimation
Our novel framework integrating various machine learning models effectively predicts solar radiation levels, providing reliable predictions for renewable energy planning, climate modeling, and environmental studies.
The effects of solar radiation on thermal comfort
The total intensity of simulated solar radiation, rather than its specific wavelength, is the critical factor affecting thermal comfort in vehicles, buildings, and outdoors.
Non-RCTHighly CitedCalculating solar radiation for ecological studies
Solar radiation calculation methods are useful for aquatic ecology studies and ecological modeling, especially when used as an independent variable.
Highly CitedSolar radiation estimation using artificial neural networks
The RBF model is the best for estimating solar radiation in Oman, as it requires less computing power and performs well with both RBF and MLP models.
Highly CitedModeling the comfort effects of short-wave solar radiation indoors
SolarCal is a public online model that accurately predicts human comfort and heat gain from short-wave solar radiation indoors, aiding in early design and thermal comfort standards.
Highly CitedA model for managing and evaluating solar radiation for indoor thermal comfort
This study presents a method for calculating mean radiant temperature of people in thermal moderate indoor environments in the presence of solar radiation, and evaluates thermal comfort conditions based on international standards.
Highly CitedModeling Solar Radiation in the Forest Using Remote Sensing Data: A Review of Approaches and Opportunities
Remote sensing technologies, particularly LiDAR, can effectively model solar radiation under forest canopies, with potential for improved global and diffuse fraction estimations in the future.
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