Türkiye’nin Rüzgar Enerji Potansiyelinin Sayısal Hava Tahmin Sistemi ile Simülasyonu ve Analizi

Year 2023, Issue: 46, 179 - 192, 31.01.2023

Fahrettin Fırat Özdemir , Abdulla Sakallı

https://doi.org/10.31590/ejosat.1191826

Abstract

Dünya genelinde enerji ihtiyacı giderek artmaktadır. Kullanılan fosil temelli yakıtlar, dünya üzerinde yeryüzü sıcaklığındaki yükselmelere, ozon tabakasında oluşan yıkımlara, iklim değişikliklerine sebep olduğu bilinmektedir ve sonucunda geri dönülmesi zor hasarlar meydana getirmektedir. Rüzgâr enerjisi gibi çevreci ve yenilebilir enerji kaynakları her yıl daha da gelişmekte, kara ve su üzerinde kullanılarak, etkileyici bir potansiyele sahiptir. Bununla birlikte atmosferin stokastik ve tahmin edilmesi zor yapısı, rüzgâr hızında rastgeleliklere ve kesintilere ve sonucunda rüzgâr gücündeki dalgalanmalara sebep olmaktadır. Bu nedenle enerji piyasalarında, rüzgâr gücünün etkili, güvenilir ve kararlı bir yapıda kullanılabilmesi için kısa vadede yapılan tahminler büyük önem arz etmektedir. Atmosferin yapısının sayısal denklemlerle ve WRF-ARW (Weather Research and Forecasting Model) modellemesiyle iyi temsil edilmesi ile bu sorun günümüzde daha kolay bir hale gelmiştir. Yine de model parametreleri, başlangıç koşulları doğru bir şekilde seçilmelidir. Türkiye’de altı farklı bölgede yaptığımız ayrıca tüm Türkiye’yi kapsayan sıcaklık, yağış ve rüzgâr hızı tahminleri ve eğri eşitleme metodu ile Türkiye’nin 2,3 MW ve 3 MW’ lık rüzgâr gücü üretim potansiyeli tahminlerimiz, orta ve uzun vadede uygulanabilir enerji yatırımları için uygun bir alternatif kaynak sağlayabilir. Bu çalışmada Çanakkale bölgesinde yıllık rüzgâr hızı tahminlerinde sırasıyla 1,35 MAE (Mean Absolute Error) ve d (0,87), IOA (Index of Agreement) değerlerine ulaşılmıştır.

Keywords

Rüzgâr enerjisi, Sistem simülasyonu, WRF, Matematiksel modelleme, Yöneylem araştırması.

Simulation and Analysis of Turkey's Wind Energy Potential with Numerical Weather Forecasting System

Abstract

Energy requirements are increasing all over the world. The fossil-based fuels used are known to cause rises in the earth's temperature, destruction of the ozone layer, and climate changes, and as a result, they cause irreversible damage. Environmental and renewable energy sources such as wind energy are developing more and more each year and have an impressive potential by being used on onshore and offshore. However, the stochastic and difficult-to-predict structure of the atmosphere causes randomness and interruptions in wind speed and consequently fluctuations in wind power. For this reason, short-term forecasts have a great value in order to use wind power in an effective, reliable and stable structure in energy markets. This problem has become easier today, as the structure of the atmosphere is well represented by numerical equations and WRF-ARW (Weather Research and Forecasting Model) modelling. However, the model parameters, initial conditions must be chosen correctly. With the temperature, precipitation and wind speed forecasts we made in six different locations in Turkey, as well as our 2.3 MW and 3 MW wind power generation potential forecasts covering the whole country using the curve equalization method, we can provide a suitable alternative source in medium and long term for feasible energy investments. In this study, the annual wind speed forecasting in Çanakkale was 1.35 MAE (Mean Absolute Error) and d (0.87), IOA (Index of Agreement) values, respectively.

Keywords

Wind energy, System simulation, WRF, Mathematical modeling, Operational research

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