Modeling of Solar Radiation in the United Arab Emirates

  • Asadullah Saeed

Student thesis: Master's Thesis

Abstract

Energy has become crucial to sustain the modern developed world. The global energy consumption increased ten folds in the past century, while the United Arab Emirates' (UAE) energy consumption growth is predicted to be 5.6% annually. Policymakers in the UAE have realized the limitations of non-renewable energy; hence, they have aimed at meeting 44% of the country's energy demand from renewable sources by 2050. These renewable sources include solar photovoltaic, concentrated solar power and solar rooftop. Appreciating the significance of solar energy resources to the UAE's future, and the limited data of direct measurements of solar irradiance; this study's prime objective is to propose simple and reliable solar energy resource estimation models on a daily scale for local conditions. The available meteorological data, from the UAE's National Center of Meteorology and Seismology (NCMS), for Abu Dhabi, Al Ain, and Dubai are used. The calibrated models are tested for goodness of fit and GHI estimation accuracy. Abu Dhabi's data had the best overall fit and estimation accuracy for most of the calibrated models. It is noticed that the spread of the data and the presence of outliers has a significant impact on the outcomes of both the goodness of fit and estimation accuracy. Furthermore, new models are proposed which are better suited for this region in estimating daily horizontal solar radiation.
Date of AwardApr 2020
Original languageAmerican English

Keywords

  • Daily Global Horizontal Solar Radiation
  • Models
  • Regression
  • Artificial Neural Networks

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