Solar Energy and Climate Change

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".

Deadline for manuscript submissions: 20 April 2025 | Viewed by 396

Special Issue Editors


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Guest Editor
1. Key Laboratory of Energy Meteorology, China Meteorological Administration, Beijing 100081, China
2. Public Meteorological Service Center, China Meteorological Administration, Beijing 100081, China
Interests: solar energy; climate

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Guest Editor
School of Photovoltaics and Renewable Energy Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia
Interests: atmospheric modelling; numerical weather prediction; climate change and predictability; tropical cyclones; weather and climate extremes; turbulence; atmospheric convection; atmospheric radiation; meteorology; solar and wind energy assessment and prediction; cloud physics; large-scale climate dynamics and satellite remote sensing of clouds and aerosols
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Special Issue Information

Dear Colleagues,

The development of solar energy resources is one of the most important aspects to consider in terms of human beings can cope with climate change. Essentially, it is the conversion and utilization of surface solar radiation energy, including electrical energy conversion (photovoltaic power generation, PV), thermal energy conversion (concentrating solar power, CSP), etc. Surface solar radiation, as one of the most important climate variables, varies with time and space and is not only affected by climate change, but also by the important factors that change the climate. To study the relationship between solar energy and climate change, it is necessary to understand the past and future trends in ground solar radiation, as well as to clarify the various meteorological factors that have significantly impacted solar energy utilization against the background of climate change, such as extreme winds, extreme high temperatures, duststorms, snowfall and snow accumulation, and their possible impacts on solar energy development and utilization. These impacts include the planning, site selection, design, and expected power generation of solar power plants. In addition, the construction of large-scale solar power plants will also have significant and far-reaching impacts on local climates, environments, and ecology, which is also worth researching further. In summary, the research content of this Special Issue mainly includes, but is not limited to, the following:

  • Ground observation, satellite remote sensing, and numerical simulation of solar energy resources;
  • The changes and causes of ground solar radiation over the past few decades;
  • Estimation of ground solar radiation on a centenary scale and its potential impact on solar power generation;
  • Changes in extreme and catastrophic weather in terms of climate change and their potential impact on solar power generation;
  • Climate, environmental, and ecological effects of large-scale solar power generation.

Dr. Yanbo Shen
Dr. Abhnil Prasad
Guest Editors

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Keywords

  • solar energy
  • surface solar radiation
  • photovoltaics
  • climate change

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Published Papers (1 paper)

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Research

26 pages, 4939 KiB  
Article
Daily Estimates of Global Radiation in the Brazilian Amazon from Simplified Models
by Charles Campoe Martim, Rhavel Salviano Dias Paulista, Daniela Castagna, Daniela Roberta Borella, Frederico Terra de Almeida, João Gabriel Ribeiro Damian and Adilson Pacheco de Souza
Atmosphere 2024, 15(11), 1397; https://doi.org/10.3390/atmos15111397 - 20 Nov 2024
Viewed by 187
Abstract
Solar radiation is an element and a meteorological factor that is present in several processes, such as evapotranspiration, photosynthesis, and energy generation, among others. However, in some regions, there is a limitation in surface data measurements. In this study, 87 empirical models were [...] Read more.
Solar radiation is an element and a meteorological factor that is present in several processes, such as evapotranspiration, photosynthesis, and energy generation, among others. However, in some regions, there is a limitation in surface data measurements. In this study, 87 empirical models were evaluated to estimate global radiation (Hg) in the Brazilian Amazon biome; these models were divided into five groups according to the input variables, such as insolation (group I), air temperature (group II), relative humidity (group III), astronomical variables (group IV), and hybrid models (group V). The estimates were evaluated by their significance (t-test) and then according to the statistical metrics of the models’ performance (R2, MBE, RMSE, and d). The group V model Hg/H0=a+blnT+cS/S0d presented the best statistical performance in all the evaluated indicators, followed by the group I model Hg/H0=a+bS/S0c, and then the group II model Hg/H0=a+bT+cT0.25+dT0.5+eTmed/H0. The group III models presented a low statistical performance, and the group IV models were not significant (NS) in all the evaluated meteorological stations. In general, it was found that the simplified or hybrid models based on insolation and air temperature were efficient in estimating Hg in the Brazilian Amazon biome. Full article
(This article belongs to the Special Issue Solar Energy and Climate Change)
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