TY - JOUR T1 - ANGSTRÖM-PRESCOTT MODELİNİN POLİNOM İLE GELİŞTİRİLMESİ VE DİYARBAKIR GÜNEŞ IŞINIMI VERİLERİNE UYGULANMASI TT - Hybrid Model for Solar Irradiation Estimation Using Polynomial and Angström-Prescott Equation AU - Güçlü, Yavuz Selim PY - 2019 DA - March DO - 10.15317/Scitech.2019.183 JF - Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi JO - sujest PB - Konya Teknik Üniversitesi WT - DergiPark SN - 2147-9364 SP - 75 EP - 88 VL - 7 IS - 1 LA - tr AB - Dünyanınen önemli enerji kaynağı güneş enerjisi, çeşitli alanlarda farklı konularaltında araştırılmaktadır. Özellikle, fosil yakıt kaynaklarının azalmasındanberi güneş enerjisinin değeri ve önemi daha da artmıştır. Güneş enerjisi ileilgili ilk araştırmalar 20. yüzyılın ilk çeyreğinde başlamış ve bu türçalışmaların ilki güneş ışınımının güneşlenme süresine karşı tahmin edildiğiçalışmadır. Bu makalenin hedefi, güneş ışınımının tahmini konusunda yeni biryöntem niteliğindeki polinom çözümleme (analiz) yolunu sunmak ve uygulamaktır.Bununla birlikte, polinom çözümlemesi güneş ışınımını tahmin etmekte yetersizkalacağından, Polinom ile doğrusal (lineer) bir model özelliğine sahipAngström-Prescott yaklaşımı önerilmiştir. PoLin (POlinom-LINeer) modelinintemel ilkesi, salınımı (periyodiklik) veriden ayırmak ve daha sonra Angström-Prescottmodelini arınmış veriye uygulamaktır. Türkiye'nin Güneydoğu Anadolu bölgesişehirlerinden Diyarbakır kapsamında sunulan yaklaşımın sonuçları ANFIS, HarLinve Angström-Prescott modelleri ile karşılaştırılarak gerekli tavsiyelersunulmuştur. PoLin modelinin çıktıları meşhur (klasik) Angström Prescott,HarLin ve ANFIS modellerinden daha başarılı bulunmuştur. KW - ANFIS KW - Angström-Prescott; Güneş ışınımı; Güneşlenme süresi; HarLin; Polinom N2 - Theworld’s most important energy source, solar energy, is being investigated in avariety of areas under different fields. Especially since the decline of fossilfuel resources, the importance of the solar energy has increased even more.Initial researches on solar energy started in the first quarter of the 20thcentury and solar irradiation was estimated versus sunshine duration. Thisstudy suggests similar procedure to harmonic analysis application to solarirradiation and sunshine duration data. Basis of the methodology is combinedapplication of the POlynomial and classical LINear regression analysis.Therefore, it is referred to PoLin model as a hybrid model. It isolates firstthe periodicity from the daily values, and then linear regression analysis isapplied first to order stationary data. PoLin results are compared with theclassical Angström-Prescott,HarLin, and ANFIS models. In the application, solar irradiation site isconsidered from solar energy potential location in Turkey, namely, at Diyarbakır.Estimations by PoLin model appears more successful than ANFIS, HarLin and Angström-Prescott approaches. CR - Akınoğlu B.G., and Ecevit, A. (1990) Construction of a quadratic model using modified Angström coefficients to estimate global solar radiation, Solar Energy, 45:85–92. CR - Almorox, J., Bocco, M., and Willington, E. (2013) Estimation of daily global solar radiation from measured temperatures at Cañada de Luque, Córdoba, Argentina, Renewable Energy, 60:382-387. CR - Amato U., Andretta A., Banoli B., Coluzzi B., Cuomo V., Fontana F., Serio C., (1986) Markov processes and Fourier analysis as a tool describe and simulate Daily solar irradiance. Solar Energy 37(3):179-94. CR - Angström, A. (1924) Solar Terrestrial Radiation, Quarterly Journal of the Royal Meteorological Society, 50:121–126. CR - Baldasano J.M., Clar J, Berna A., (1988) Fourier analaysis of Daily solar radiation data in Spain. Solar Energy 41(4):327-34. CR - Balling R., Cerveny R.S., (1983) Spatial and temporal variations in long-term normal percent possible solar radiation levels in the United States. J Climate Appl Met 22:1726-1732. CR - Benghanem M., Mellit A., and Alamri S.N., (2009) ANN-based modelling and estimation of daily global solar radiation data: A case study, Energy Conversion and Management, 50:1644–1655. CR - Chen, S.X., Gooi, H.B., and Wang M.Q. (2013), Solar radiation forecast based on fuzzy logic and neural networks, Renewable Energy, 60, 195–201. CR - Dogniaux, R., and Lemoine, M. (1983) Classification of radiation sites in terms of different indices of atmospheric transparency. In Palz W. (éditeur), Solar Energy R&D in the European Community, Series F, Vol. 2, Solar Energy Data. D. Reidel Publ. Co., Dordecht, 94-107. CR - Gopinathan, K. K., (1988) A general formula for computing the coefficients of the correlation connecting global solar radiation to sunshine duration, Solar Energy, 41:499-502. CR - Güçlü, Y. S., Dabanlı, İ., and Şişman, E., (2014a) Short- and Long-Term Solar Radiation Estimation Method, Progress in Exergy, Energy, and the Environment, DOI 10.1007/978-3-319-04681-5_48, Springer, Cham. CR - Güçlü, Y. S., Yeleğen, M. Ö., Dabanlı, İ., and Şişman, E., (2014b) Solar Irradiation Estimations and Comparisons by ANFIS, Angström-Prescott and Dependency Models, Solar Energy, 109:118-124. CR - Güçlü, Y. S., Dabanlı, İ., Şişman, E., and Şen, Z. (2015). HARmonic–LINear (HarLin) model for solar irradiation estimation. Renewable Energy, 81, 209-218. CR - Güçlü Y.S., Dabanlı İ., Şişman E., and Şen Z. (2018). Improving of the Angström-Prescott Model Using Harmonic Analysis, Exergy for A Better Environment and Improved Sustainability 2, DOI 10.1007/978-3-319-62575-1_43, Springer, Cham. CR - Hinrichsen, K. (1994) The Angström formula with coefficients having a physical meaning, Solar Energy, 52:491–495. CR - Jang, J.S.R. (1992) Self-learning fuzzy controller based on temporal back-propagation. IEEETrans Neural Networks, 3 (5) 714-723. CR - Korachagaon, I., Bapat, V.N. (2012) General formula for the estimation of global solar radiation on earth’s surface around the globe, Renewable Energy, 41:394–400. CR - Lewis, G. (1989) The Utility of the Angström –Type Equation for the Estimation of Global Radiation, Solar Energy, 43(5):297-299. CR - Lia, H., Maa, W., Liana, Y., Wanga, and X., Zhaob, L. (2011) Global solar radiation estimation with sunshine duration in Tibet, China, Renewable Energy, 36(11):3141–3145. CR - Ögelman, H., Ecevit A., and Taşemiroğlu, E. (1984) Method for estimating solar radiation from bright sunshine data, Solar Energy, 33:619–625. CR - Page, J. K. (1964) The estimation of monthly ea values of daily total short wave radiation on vertical and inclined surfaces from sunshine records for latitudes 40°N–40°S, Proceedings of the UN conference on new sources of energy, paper no. 598, 4, pp 378–390. CR - Prescott J. A. (1940) Evaporation from a water surface in relation to solar radiation. Trans. Roy. Soc. S. A. 64: 114-18. CR - Rahimikhoob, A. (2013) Estimating global solar radiation using artificial neural network and air temperature data in a semi-arid environment, Renewable Energy, 35(9):2131–2135. CR - Rietveld, M. R. (1978) A new method for estimating the regression coefficients in the Formula relating solar radiation to sunshine, Agric. Meteorol., 19:243–252. CR - Ross T. J. (1995) Fuzzy logic with engineering applications. New York: McGraw Hill Co. CR - Sabbagh, J. A., Sayigh, A. A. M., and El-Salam, E. M. A. (1977) Estimation of the total solar radiation from meteorological data, Solar Energy, 19(3): 307-311. CR - Samuel T. D. M. A. (1991) Estimation of Global Radiation for Sri Lanka, Solar Energy, 47(5):333-337. CR - Soler, A. (1990) Monthly specific Rietveld’s Correlations. Solar and Wind Technology, 2/3, 305-306. CR - Sugeno, M. (1985) Industrial Applications of Fuzzy Control North-Holland, New York. CR - Swartman, R. K., and Ogunlade, O. (1967) Solar Radiation Estimates from Common Parameters, Solar Energy, 11, 170-172. CR - Şahin, A. D., (2007) A new formulation for solar irradiation and sunshine duration estimation, International Journal of Energy Research, 31:109–118. CR - Şahin, A. D., Kadioğlu, M., and Şen, Z. (2001) Monthly clearness index values of Turkey by harmonic analysis approach, Energy Conversion and Management 42:933-940. CR - Şahin, A. D., and Şen, Z. (1998) Statistical analysis of the Angström formula coefficients and application for Turkey, Solar Energy, 62:29–38. CR - Şen, Z. (2001) Angström equation parameter estimation by unrestricted method, Solar Energy, 71:95–107. CR - Şen., Z. (2002) “İstatistik Veri İşleme Yöntemleri” (In Turkish), Turkish Water Foundation Publications, pp.243, Istanbul. CR - Şen, Z. (2004) Yapay Sinir Ağları İlkeleri, Turkish Water Foundation Publications, Istanbul. CR - Şen, Z. (2007) Simple nonlinear solar irradiation estimation model, Renewable Energy, 32:342–350. CR - Şen, Z. (2008) “Solar energy fundamentals and modeling techniques”, Springer, London. CR - Şen, Z. (2017). Probabilistic innovative solar irradiation estimation. International Journal of Energy Research, 41(2), 229-239. CR - Takagi, T., and Sugeno, M. (1995) Fuzzy identification of systems and its applications to modeling and control, IEEE Transactions on Systems, Man, and Cybernetics, 15, 1, 116-132. CR - Tolabi, H. B., Moradi, M.H. and Ayob, S. B. M., (2014) A review on classification and comparison of different models in solar radiation estimation, International Journal of Energy Research, 38:689–701. CR - Ulgen, K. and Hepbasli, A. (2002) Estimation of solar radiation parameters for Izmir, Turkey, International Journal of Energy Research, 26:807–823. CR - Wolfram Alpha, Computational Knowledge Engine, https://www.wolframalpha.com/, ziyaret tarihi: 10 Ocak 2018. CR - Wu, J., Chan, C. K., Zhang, Y., Xiong, B. Y., Zhang Q. H. (2014), Prediction of solar radiation with genetic approach combing multi-model framework, Renewable Energy, 66:132-139. UR - https://doi.org/10.15317/Scitech.2019.183 L1 - https://dergipark.org.tr/tr/download/article-file/664809 ER -