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Remo more drive statistics tool5/27/2023 The disruption to electricity production and supply is expected to be significant as a result of these environmental changes. Some of the key environmental effects of climate change are an increase in global surface temperature, changes in hydrological cycles, a rise in mean sea level and a higher incidence of extreme weather events. Nevertheless, the energy sector, especially renewable, is highly dependent on weather and climate conditions, which affect energy supply and use, energy demand, transport, distribution, and markets. For example, Senegal implemented more than eight solar plants since 2016 and has the largest wind farm in West Africa, with a capacity of 158.7 MW. The sub-Saharan Africa region is forecasted to add 22 GW of renewable energy capacity during the period 2019–2024. Based on this projection, solar PV represents nearly 60% and onshore wind 25%. Global renewable energy capacity is expected to expand by 50% between 20, led by solar photovoltaic (PV). This study can guide governments and policymakers in decision making for future solar and wind energy projects in the region. For the WPD, there are some discrepancies among the RCMs in terms of intensity and direction. The changes for solar PV potential seem to be consistent, although the intensity differs according to the RCM used. ![]() The wind power density (WPD) is expected to increase by about 20% in the near future and 40% in the far future. The Mean predicts a general decrease in the solar PV potential over the region of about −2% in the near future and −4% in the far future. The models and their ensemble mean (hereafter Mean) show acceptable performance for the simulations of the solar PV potential, the wind power density, and related variables with some biases. For the model evaluation, reanalysis data from ERA5 and satellite-based climate data (SARAH-2) were used. ![]() ![]() Two projection periods were used: the near future (2021–2050) and the far future (2071–2100). Each RCM is driven by three global climate models (GCMs) from the new coordinated high-resolution output for regional evaluations (CORDEX-CORE) under the RCP8.5 scenario. This study investigates the expected future impacts of climate change on solar PV and wind energy potential over West Africa using an ensemble of three regional climate models (RCMs). However, the future impacts of climate change on solar PV and the wind energy potential in the region are still unclear. We’ve put together a guide to experimental design, helping you carry out quality research so that the results you collect can be relied on.Renewable energy development is growing fast and is expected to expand in the next decades in West Africa as a contribution to addressing the power demand and climate change mitigation. It’s therefore important to keep in mind that while you might have advanced statistical software (and the knowledge to use it) available to you, the results won’t mean much if they weren’t collected in a valid way. These factors could mean that you are at the cutting-edge of data analysis, but as with any research, the quality of the data obtained is reliant upon the quality of the study execution. ![]() There are a range of different software tools available, and each offers something slightly different to the user – what you choose will depend on a range of factors, including your research question, knowledge of statistics, and experience of coding. Similar to GraphPad Prism, commands can be executed through both the GUI and scripted commands, making it accessible to novices as well as users looking to carry out more complex analyses. The Minitab software offers a range of both basic and fairly advanced statistical tools for data analysis.
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