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İstanbul Teknik Üniversitesi (2018)

Solar Radiation Estimation For Turkey Using Bahel Model And Artificial Neural Networks

KOŞMA Elvan Burcu

Titre : Solar Radiation Estimation For Turkey Using Bahel Model And Artificial Neural Networks

Türkiye Genelinde Bahel Modeli Ve Yapay Sinir Ağları İle Güneş Radyasyonu Tahmini

Auteur : KOŞMA Elvan Burcu

Université de soutenance : İstanbul Teknik Üniversitesi

Grade : Master thesis 2018

Résumé partiel
Energy has been among the most basic requirements of humankind for many years. Energy has many indispensable qualities in many fields such as heating, production and transportation. Moreover, energy has been generated from fossil and unsustainable energy resources such as coal, oil and natural gas in the past. However, after the industrial revolution, the rising uncontrolled use of fossil resources has led to the reduction of these resources and increase in environmental pollution. Today, with the increase of robotic technologies, the use of energy in production systems has reached its peak. Every activity to reduce environmental pollution, which is a direct result of industrial production, also has affected the rising of energy consumption. For example, electronic billing, which has become popular to reduce paper consumption, increased the computer use and the electricity consumption. Furthermore, energy is becoming indispensable for environmental pollution control because of the continuous process of garbage in solid waste storage areas throughout the world. Due to its geographical location, Turkey is among the countries with the highest solar energy potential in the world. Therefore it is important to utilize solar energy in Turkey as effectively as possible. In the production of solar energy, accurate forecasting of the hourly global solar radiation is of great importance. Complete and accurate entry of the current measurement data into such estimates is among the parameters directly affecting the estimation performance. However, hourly global solar radiation measurements are carried out in a limited number of meteorological stations nationwide, and data loss and measurement errors are frequently encountered in data measurement. This necessitates the development and improvement of solar radiation models on an hourly basis. Although Angstrom-Prescott-based solar radiation models have been implemented for many years, the models on the hourly scale are still limited. The relationship between the duration of sunshine and global solar radiation allowed the diversification of Angström-Prescott models and the formation of square, cubic, logarithmic versions. The greatest advantage of the Angström-Prescott model is that it only allows calculating using a single observation data (sunrise time). Models that use more than one measurement data (including temperature, humidity, etc. parameters) can affect the calculations because of the aggregation of unwanted measurement errors. With the use of models with single observation values, the errors caused by the measurements will be minimized as much as possible. Présentation

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