Araştırma Makalesi
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Evaluation of Angström-Prescott Model-Based Approaches for the Estimation of Solar Irradiance of Menemen, İzmir Region

Yıl 2022, Cilt: 24 Sayı: 70, 179 - 192, 17.01.2022
https://doi.org/10.21205/deufmd.2022247017

Öz

Solar energy has an important role and potential to replace fossil fuels that have a limited lifespan and cause environmental damage. Solar radiation knowledge is needed to design, project, build and operate solar energy systems properly. Although solar radiation is rarely measured all over the world, other meteorological parameters are measured at almost all stations. There are also gaps in the data bases of the stations where solar radiation is measured. At this point, the estimation of solar radiation becomes important. In the literature, there are Angström-Prescott model, in which solar radiation is calculated depending on the sunshine duration, and other models created with the approach of developing this model. In this study, annual and seasonal models were created to estimate global solar radiation in Menemen district. In addition, the comparisons are shown by investigating which model is more effective in the use of models based on Angström Prescott method for the estimation of solar radiation intensity in Menemen district. MATLAB program was used to create these models. Finally, global solar radiation values calculated with these models and the ground measurements were compared with statistical tests and error analyzes such as R2, SSE, RMSE, and the calculated and measured values were shown in graphics.

Kaynakça

  • Yoshida S, Ueno S, Kataoka N, Takakura H, Minemoto T.2013, Estimation of global tilted irradiance and output energy using meteorological data and performance of photovoltaic modules, Solar Energy Cilt.93, s.90–99. DOI: https://doi.org/10.1016/j.solener.2013.04.001
  • Chelbi M, Gagnon Y, Waewsak J. 2015. Solar radiation mapping using sunshine durationbased models and interpolation techniques: application to Tunisia, Energy Convers Manag, Cilt. 101, s. 203–215. DOI: https://doi.org/10.1016/j.enconman.2015.04.052
  • Bakirci K., 2009. Estimation of solar radiation by using ASHRAE clear sky model in Erzurum, Turkey. Energy Sources Part A, Cilt. 31 (3), s. 208–216. DOI: 10.1080/15567030701522534
  • Paulescu, M, Paulescu, E, Gravila, P, Badescu V. 2013. Weather Modeling and Forecasting of PV Systems Operation, Springer, London, 358s.
  • Tiwari, GN, Dubey, S, 2009 Fundamentals of Photovoltaic Modules and their Applications, RSC Publishing, UK, 422s
  • Teke A, Yıldırım HB. 2014. Estimating the monthly global solar radiation for Eastern Mediterranean Region, Energy Convers Manag, Cilt.87, s.628–635. DOI: https://doi.org/10.1016/j.enconman.2014.07.052
  • Urraca, R., Antonanzas, J., Martinez-de-Pison, FJ., Antonanzas-Torres, F., 2015. Estimation of solar global irradiation in remote areas. Journal of Renewable and Sustainable Energy, Cilt.7, s. 231-236. DOI:10.1063/1.4919084
  • Wong, LT., Chow, WK., 2001. Solar radiation model, Applied Energy, 69, 191-224. DOI: https://doi.org/10.1016/S0306-2619(01)00012-5
  • Angström A. 1924. Solar and terrestrial radiation. Quart J Roy Meteor Soc. Cilt.50, s.121-6. DOI: https://doi.org/10.1002/qj.49705021008
  • Prescott, JA, 1940. Evaporation from water surface in relation to solar radiation. Trans R Soc Aust, 64, 114–48.
  • Page, J.K. 1986. Prediction of Solar Radiation on inclined Surface. Springer Netherlands, 459s.
  • Khatib Tamer, MohamedAzah, Sopian K.2012. A review of solar energy modelling techniques. Renewable Sustainable Energy Rev, Cilt.16(5), s.2864–2869. DOI: https://doi.org/10.1016/j.rser.2012.01.064
  • Mousavi, R., Sabziparvar, AA, Niaz, AM., Ebrahimi A., Heydari, PM., 2015. Calibration of the Angström-Prescott solar radiation model for accurate estimation of reference evapotranspiration in the absence of observed solar radiation, Theoretical and Applied Climatology, Cilt.119 (1), s.43–54. DOI:10.1007/s00704-013-1086-7
  • Li, H., Ma, W., Lian, Y., Wang , X., Zhao, L., 2011. Global solar radiation estimation with sunshine duration inTibet,China. Renewable Energy, Cilt.36 (11), s.3141–3145. DOI: https://doi.org/10.1016/j.renene.2011.03.019
  • Poudyal, KN., Bhattarai BK., Balkrishnal S., Berit, K., 2012. Estimation of global solar radiation using sunshine duration in Himalaya Region. Research Journal of Chemical Sciences, Cilt.2 (11), s. 20-25
  • Hassana, GE., Youssefa, ME., Alia, MA., Mohamed, ZE., Shehatab, AI. 2016. Performance assessment of different day-of-the-year-based models for estimating global solar radiation - Case study, Egypt, Journal of Atmospheric and Solar-Terrestrial Physics, Cilt.149, s.69–78. DOI: https://doi.org/10.1016/j.jastp.2016.09.011
  • Adaramola, MS., 2012. Estimating global solar radiation using common meteorological data in Akure, Nigeria. Renewable Energy, Cilt.47, s.38–44. DOI: https://doi.org/10.1016/j.renene.2012.04.005
  • Suehrcke H., Bowden RS., Hollands, KGT., 2013. Relationship between sunshine duration and solar radiation. Solar Energy, 92, 160–171. DOI: https://doi.org/10.1016/j.solener.2013.02.026
  • Rahimi, I., Bakhtiari, B., Qaderi K., Aghababaie, M., 2012. Calibration of Angstrom Equation for Estimating Solar Radiation using Meta-Heuristic Harmony Search Algorithm (Case study, Mashhad-East of Iran), Energy Procedia, Cilt.18, s. 644-651. DOI: https://doi.org/10.1016/j.egypro.2012.05.078
  • Bakirci, K., 2000. Models of solar radiation with hours of bright sunshine, A review, Renewable and Sustainable Energy Reviews, Cilt.13, s.2580-2588. DOI: https://doi.org/10.1016/j.rser.2009.07.011
  • Zhao, N., Zeng, X., Han, S., 2013. Solar radiation estimation using sunshine hour and air pollution index in China. Energy Conversion and Management, Cilt.76, s.846-51. DOI: https://doi.org/10.1016/j.enconman.2013.08.037
  • Besharat, F., Dehghan, AA., Faghih, AR. 2013. Empirical models for estimating global solar radiation, A review and case study. Renewable and Sustainable Energy Reviews, Cilt.21, s. 798-821. DOI: https://doi.org/10.1016/j.rser.2012.12.043
  • Gopinathan, KK. 1988. A general formula for computing the coefficients of the correlations connecting global solar radiation to sunshine duration, Solar Energy, Cilt.41, s.499–502. DOI: https://doi.org/10.1016/0038-092X(88)90052-7
  • Gopinathan, KK., 1988 b. A simple method for predicting global solar radiation on a horizontal surface. Sol Wind Technol, Cilt.3 (5), s. 581–583. DOI: https://doi.org/10.1016/0741-983X(88)90050-1
  • Glover, J., McCulloch, JSG., 1983. The empirical relation between solar radiation and hours of sunshine. Q J R Meteorol Soc, Cilt.84 (360), s. 172–175. DOI: https://doi.org/10.1002/qj.49708436011
  • Kiliç, A, Öztürk, A. 1984. Güneş Işınımı ve Düz Toplayıcılar, SEGEM, Ankara, 135s
  • Bennett, I., 1965. Monthly maps of mean daily insolation for United States. Sol. Energy Cilt.9(3), s.145–159. DOI: https://doi.org/10.1016/0038-092X(65)90088-5
  • Raja, IA., 1994. Insolation-sunshine relation with site elevation and latitude. Sol. Energy, Cilt.53 (1), s.53–56. DOI: https://doi.org/10.1016/S0038-092X(94)90605-X
  • Elagib, NA., Mansell, MG., 2000. New approaches for estimating global solar radiation across Sudan. Energy Conversion and Management, Cilt. 41, s.419–34. DOI: https://doi.org/10.1016/S0196-8904(99)00123-5
  • Gana, NN., Rai, JK., Momoh, M., 2014. Estimation of global and diffuse solar radiation for Kebbi, North-Western, Nigeria. International Journal of Scientific & Engineering Research, Cilt.5, s.1654-1661.
  • Almorox J., Arnaldo JA., Bailek N., c Marti P., 2020. Adjustment of the Angstrom-Prescott equation from Campbell-Stokes and Kipp-Zonen sunshine measures at different timescales in Spain. Renewable Energy, Cilt.154, s.337-50. DOI: 10.1016/j.renene.2020.03.023
  • Naserpour S., Zolfaghari H., Firouzabadi PZ., 2020. Calibration and evaluation of sunshine-based empirical models for estimating daily solar radiation in Iran. Sustainable Energy Technologies and Assessments, Cilt.42, 100855. DOI: 10.1016/j.seta.2020.100855.
  • Almorox J., Voyant C., Bailek N., Kuriqu A., Arnaldo JA., 2021. 1. Total solar irradiance's effect on the performance of empirical models for estimating global solar radiation: An empirical-based review. Energy, Cilt.236, 121486
  • Akinoğlu, B., Ecevit, A., 1990. A further comparison and discussion of sunshine-based models to estimate global solar radiation. Energy, Cilt.15 (10), s. 865–872. DOI: https://doi.org/10.1016/0360-5442(90)90068-D
  • Bahel, V., Bakhsh, H., Srinivasan, R., 1987. A correlation for estimation of global solar radiation. Energy, Cilt.12 (2), s. 131–135. DOI: https://doi.org/10.1016/0360-5442(87)90117-4
  • Toğrul, IT., Toğrul, H., 2002. Global solar radiation over Turkey, comparison of predicted and measured data. Renewable Energy, Cilt.25, s. 55–67. DOI:10.1016/S0960-1481(00)00197-X
  • Newland, FJ., 1989. A study of solar radiation models for the coastal region of South China. Sol Energy, Cilt.43 (4), s.227–235. DOI: https://doi.org/10.1016/0038-092X(89)90022-4
  • Ampratwum, DB., Dorvlo, ASS., 1999. Estimation of solar radiation from the number of sunshine hours. Applied Energy, Cilt. 63, s. 161–167. DOI: https://doi.org/10.1016/S0306-2619(99)00025-2
  • Almorox, J., Hontoria, C., 2004. Global solar radiation estimation using sunshine duration in Spain. Energy https://doi.org/10.1016/j.enconman.2003.08.022
  • Sensoy S, Demircan M, Balta I. Türkiye’nin İklimi, Devlet Meteoroloji İşleri Genel Müdürlüğü https://www.mgm.gov.tr/FILES/genel/makale/13_turkiye_iklimi.pdf (Erişim Tarihi: 22.06.2021)
  • T.C. TARIM VE ORMAN BAKANLIĞI,Meteoroloji Genel Müdürlüğü web sitesi, http://www.mgm.gov.tr (Erişim Tarihi: 15.04.2021)
  • Duffie, JA, Beckman WA, 2013, Solar Engineering of Thermal Processes, John Wiley & Sons, New York, 936s
  • MathWorks web sitesi, https://uk.mathworks.com/products/matlab.html (Erişim Tarihi: 10.04.2021)

İzmir Menemen Bölgesinin Güneş Işınım Tahmini için Angström-Prescott Modeli Temelli Yaklaşımların Değerlendirilmesi

Yıl 2022, Cilt: 24 Sayı: 70, 179 - 192, 17.01.2022
https://doi.org/10.21205/deufmd.2022247017

Öz

Öz
Güneş enerjisi, sınırlı bir ömre sahip olan ve çevreye zarar veren fosil yakıtların yerini alacak önemli bir role ve potansiyele sahiptir. Güneş enerjili sistemleri uygun şekilde tasarlamak, projelendirmek, inşa etmek ve işletmek için güneş ışınımı bilgisi gereklidir. Güneş ışınımı tüm dünyada nadiren ölçülmekle birlikte, diğer meteorolojik parametreler hemen hemen tüm istasyonlarda ölçülmektedir. Güneş ışınımının ölçüldüğü istasyonların veri tabanlarında da boşluklar bulunmaktadır. Bu noktada güneş ışınımının tahmini önem kazanmaktadır. Literatürde güneş ışınımının güneşlenme süresine bağlı olarak hesaplandığı Angström-Prescott modeli ve bu modelin geliştirilmesi yaklaşımıyla oluşturulmuş farklı modeller bulunmaktadır. Bu çalışmada, Menemen ilçesinde küresel güneş radyasyonunu tahmin etmek için yıllık ve mevsimlik modeller oluşturulmuştur. Ayrıca Angström-Prescott yöntemi temelli modellerin güneş ışınım şiddeti tahmini amacıyla kullanımında hangi modelin daha etkin olduğu Menemen ilçesi için araştırılarak karşılaştırılmalar gösterilmiştir. Bu modelleri oluşturmak için MATLAB programı kullanılmıştır. Son olarak bu modeller ile hesaplanan global güneş ışınımı değerleri ve yer ölçümleri R2, SSE, RMSE gibi istatistiksel testler ve hata analizleri ile karşılaştırılmış, hesaplanan ve ölçülen değerler grafiklerle gösterilmiştir.

Kaynakça

  • Yoshida S, Ueno S, Kataoka N, Takakura H, Minemoto T.2013, Estimation of global tilted irradiance and output energy using meteorological data and performance of photovoltaic modules, Solar Energy Cilt.93, s.90–99. DOI: https://doi.org/10.1016/j.solener.2013.04.001
  • Chelbi M, Gagnon Y, Waewsak J. 2015. Solar radiation mapping using sunshine durationbased models and interpolation techniques: application to Tunisia, Energy Convers Manag, Cilt. 101, s. 203–215. DOI: https://doi.org/10.1016/j.enconman.2015.04.052
  • Bakirci K., 2009. Estimation of solar radiation by using ASHRAE clear sky model in Erzurum, Turkey. Energy Sources Part A, Cilt. 31 (3), s. 208–216. DOI: 10.1080/15567030701522534
  • Paulescu, M, Paulescu, E, Gravila, P, Badescu V. 2013. Weather Modeling and Forecasting of PV Systems Operation, Springer, London, 358s.
  • Tiwari, GN, Dubey, S, 2009 Fundamentals of Photovoltaic Modules and their Applications, RSC Publishing, UK, 422s
  • Teke A, Yıldırım HB. 2014. Estimating the monthly global solar radiation for Eastern Mediterranean Region, Energy Convers Manag, Cilt.87, s.628–635. DOI: https://doi.org/10.1016/j.enconman.2014.07.052
  • Urraca, R., Antonanzas, J., Martinez-de-Pison, FJ., Antonanzas-Torres, F., 2015. Estimation of solar global irradiation in remote areas. Journal of Renewable and Sustainable Energy, Cilt.7, s. 231-236. DOI:10.1063/1.4919084
  • Wong, LT., Chow, WK., 2001. Solar radiation model, Applied Energy, 69, 191-224. DOI: https://doi.org/10.1016/S0306-2619(01)00012-5
  • Angström A. 1924. Solar and terrestrial radiation. Quart J Roy Meteor Soc. Cilt.50, s.121-6. DOI: https://doi.org/10.1002/qj.49705021008
  • Prescott, JA, 1940. Evaporation from water surface in relation to solar radiation. Trans R Soc Aust, 64, 114–48.
  • Page, J.K. 1986. Prediction of Solar Radiation on inclined Surface. Springer Netherlands, 459s.
  • Khatib Tamer, MohamedAzah, Sopian K.2012. A review of solar energy modelling techniques. Renewable Sustainable Energy Rev, Cilt.16(5), s.2864–2869. DOI: https://doi.org/10.1016/j.rser.2012.01.064
  • Mousavi, R., Sabziparvar, AA, Niaz, AM., Ebrahimi A., Heydari, PM., 2015. Calibration of the Angström-Prescott solar radiation model for accurate estimation of reference evapotranspiration in the absence of observed solar radiation, Theoretical and Applied Climatology, Cilt.119 (1), s.43–54. DOI:10.1007/s00704-013-1086-7
  • Li, H., Ma, W., Lian, Y., Wang , X., Zhao, L., 2011. Global solar radiation estimation with sunshine duration inTibet,China. Renewable Energy, Cilt.36 (11), s.3141–3145. DOI: https://doi.org/10.1016/j.renene.2011.03.019
  • Poudyal, KN., Bhattarai BK., Balkrishnal S., Berit, K., 2012. Estimation of global solar radiation using sunshine duration in Himalaya Region. Research Journal of Chemical Sciences, Cilt.2 (11), s. 20-25
  • Hassana, GE., Youssefa, ME., Alia, MA., Mohamed, ZE., Shehatab, AI. 2016. Performance assessment of different day-of-the-year-based models for estimating global solar radiation - Case study, Egypt, Journal of Atmospheric and Solar-Terrestrial Physics, Cilt.149, s.69–78. DOI: https://doi.org/10.1016/j.jastp.2016.09.011
  • Adaramola, MS., 2012. Estimating global solar radiation using common meteorological data in Akure, Nigeria. Renewable Energy, Cilt.47, s.38–44. DOI: https://doi.org/10.1016/j.renene.2012.04.005
  • Suehrcke H., Bowden RS., Hollands, KGT., 2013. Relationship between sunshine duration and solar radiation. Solar Energy, 92, 160–171. DOI: https://doi.org/10.1016/j.solener.2013.02.026
  • Rahimi, I., Bakhtiari, B., Qaderi K., Aghababaie, M., 2012. Calibration of Angstrom Equation for Estimating Solar Radiation using Meta-Heuristic Harmony Search Algorithm (Case study, Mashhad-East of Iran), Energy Procedia, Cilt.18, s. 644-651. DOI: https://doi.org/10.1016/j.egypro.2012.05.078
  • Bakirci, K., 2000. Models of solar radiation with hours of bright sunshine, A review, Renewable and Sustainable Energy Reviews, Cilt.13, s.2580-2588. DOI: https://doi.org/10.1016/j.rser.2009.07.011
  • Zhao, N., Zeng, X., Han, S., 2013. Solar radiation estimation using sunshine hour and air pollution index in China. Energy Conversion and Management, Cilt.76, s.846-51. DOI: https://doi.org/10.1016/j.enconman.2013.08.037
  • Besharat, F., Dehghan, AA., Faghih, AR. 2013. Empirical models for estimating global solar radiation, A review and case study. Renewable and Sustainable Energy Reviews, Cilt.21, s. 798-821. DOI: https://doi.org/10.1016/j.rser.2012.12.043
  • Gopinathan, KK. 1988. A general formula for computing the coefficients of the correlations connecting global solar radiation to sunshine duration, Solar Energy, Cilt.41, s.499–502. DOI: https://doi.org/10.1016/0038-092X(88)90052-7
  • Gopinathan, KK., 1988 b. A simple method for predicting global solar radiation on a horizontal surface. Sol Wind Technol, Cilt.3 (5), s. 581–583. DOI: https://doi.org/10.1016/0741-983X(88)90050-1
  • Glover, J., McCulloch, JSG., 1983. The empirical relation between solar radiation and hours of sunshine. Q J R Meteorol Soc, Cilt.84 (360), s. 172–175. DOI: https://doi.org/10.1002/qj.49708436011
  • Kiliç, A, Öztürk, A. 1984. Güneş Işınımı ve Düz Toplayıcılar, SEGEM, Ankara, 135s
  • Bennett, I., 1965. Monthly maps of mean daily insolation for United States. Sol. Energy Cilt.9(3), s.145–159. DOI: https://doi.org/10.1016/0038-092X(65)90088-5
  • Raja, IA., 1994. Insolation-sunshine relation with site elevation and latitude. Sol. Energy, Cilt.53 (1), s.53–56. DOI: https://doi.org/10.1016/S0038-092X(94)90605-X
  • Elagib, NA., Mansell, MG., 2000. New approaches for estimating global solar radiation across Sudan. Energy Conversion and Management, Cilt. 41, s.419–34. DOI: https://doi.org/10.1016/S0196-8904(99)00123-5
  • Gana, NN., Rai, JK., Momoh, M., 2014. Estimation of global and diffuse solar radiation for Kebbi, North-Western, Nigeria. International Journal of Scientific & Engineering Research, Cilt.5, s.1654-1661.
  • Almorox J., Arnaldo JA., Bailek N., c Marti P., 2020. Adjustment of the Angstrom-Prescott equation from Campbell-Stokes and Kipp-Zonen sunshine measures at different timescales in Spain. Renewable Energy, Cilt.154, s.337-50. DOI: 10.1016/j.renene.2020.03.023
  • Naserpour S., Zolfaghari H., Firouzabadi PZ., 2020. Calibration and evaluation of sunshine-based empirical models for estimating daily solar radiation in Iran. Sustainable Energy Technologies and Assessments, Cilt.42, 100855. DOI: 10.1016/j.seta.2020.100855.
  • Almorox J., Voyant C., Bailek N., Kuriqu A., Arnaldo JA., 2021. 1. Total solar irradiance's effect on the performance of empirical models for estimating global solar radiation: An empirical-based review. Energy, Cilt.236, 121486
  • Akinoğlu, B., Ecevit, A., 1990. A further comparison and discussion of sunshine-based models to estimate global solar radiation. Energy, Cilt.15 (10), s. 865–872. DOI: https://doi.org/10.1016/0360-5442(90)90068-D
  • Bahel, V., Bakhsh, H., Srinivasan, R., 1987. A correlation for estimation of global solar radiation. Energy, Cilt.12 (2), s. 131–135. DOI: https://doi.org/10.1016/0360-5442(87)90117-4
  • Toğrul, IT., Toğrul, H., 2002. Global solar radiation over Turkey, comparison of predicted and measured data. Renewable Energy, Cilt.25, s. 55–67. DOI:10.1016/S0960-1481(00)00197-X
  • Newland, FJ., 1989. A study of solar radiation models for the coastal region of South China. Sol Energy, Cilt.43 (4), s.227–235. DOI: https://doi.org/10.1016/0038-092X(89)90022-4
  • Ampratwum, DB., Dorvlo, ASS., 1999. Estimation of solar radiation from the number of sunshine hours. Applied Energy, Cilt. 63, s. 161–167. DOI: https://doi.org/10.1016/S0306-2619(99)00025-2
  • Almorox, J., Hontoria, C., 2004. Global solar radiation estimation using sunshine duration in Spain. Energy https://doi.org/10.1016/j.enconman.2003.08.022
  • Sensoy S, Demircan M, Balta I. Türkiye’nin İklimi, Devlet Meteoroloji İşleri Genel Müdürlüğü https://www.mgm.gov.tr/FILES/genel/makale/13_turkiye_iklimi.pdf (Erişim Tarihi: 22.06.2021)
  • T.C. TARIM VE ORMAN BAKANLIĞI,Meteoroloji Genel Müdürlüğü web sitesi, http://www.mgm.gov.tr (Erişim Tarihi: 15.04.2021)
  • Duffie, JA, Beckman WA, 2013, Solar Engineering of Thermal Processes, John Wiley & Sons, New York, 936s
  • MathWorks web sitesi, https://uk.mathworks.com/products/matlab.html (Erişim Tarihi: 10.04.2021)
Toplam 43 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Araştırma Makalesi
Yazarlar

Hatice Başak Yıldırım 0000-0003-0355-7448

Yayımlanma Tarihi 17 Ocak 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 24 Sayı: 70

Kaynak Göster

APA Yıldırım, H. B. (2022). İzmir Menemen Bölgesinin Güneş Işınım Tahmini için Angström-Prescott Modeli Temelli Yaklaşımların Değerlendirilmesi. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi, 24(70), 179-192. https://doi.org/10.21205/deufmd.2022247017
AMA Yıldırım HB. İzmir Menemen Bölgesinin Güneş Işınım Tahmini için Angström-Prescott Modeli Temelli Yaklaşımların Değerlendirilmesi. DEUFMD. Ocak 2022;24(70):179-192. doi:10.21205/deufmd.2022247017
Chicago Yıldırım, Hatice Başak. “İzmir Menemen Bölgesinin Güneş Işınım Tahmini için Angström-Prescott Modeli Temelli Yaklaşımların Değerlendirilmesi”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi 24, sy. 70 (Ocak 2022): 179-92. https://doi.org/10.21205/deufmd.2022247017.
EndNote Yıldırım HB (01 Ocak 2022) İzmir Menemen Bölgesinin Güneş Işınım Tahmini için Angström-Prescott Modeli Temelli Yaklaşımların Değerlendirilmesi. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 24 70 179–192.
IEEE H. B. Yıldırım, “İzmir Menemen Bölgesinin Güneş Işınım Tahmini için Angström-Prescott Modeli Temelli Yaklaşımların Değerlendirilmesi”, DEUFMD, c. 24, sy. 70, ss. 179–192, 2022, doi: 10.21205/deufmd.2022247017.
ISNAD Yıldırım, Hatice Başak. “İzmir Menemen Bölgesinin Güneş Işınım Tahmini için Angström-Prescott Modeli Temelli Yaklaşımların Değerlendirilmesi”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 24/70 (Ocak 2022), 179-192. https://doi.org/10.21205/deufmd.2022247017.
JAMA Yıldırım HB. İzmir Menemen Bölgesinin Güneş Işınım Tahmini için Angström-Prescott Modeli Temelli Yaklaşımların Değerlendirilmesi. DEUFMD. 2022;24:179–192.
MLA Yıldırım, Hatice Başak. “İzmir Menemen Bölgesinin Güneş Işınım Tahmini için Angström-Prescott Modeli Temelli Yaklaşımların Değerlendirilmesi”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi, c. 24, sy. 70, 2022, ss. 179-92, doi:10.21205/deufmd.2022247017.
Vancouver Yıldırım HB. İzmir Menemen Bölgesinin Güneş Işınım Tahmini için Angström-Prescott Modeli Temelli Yaklaşımların Değerlendirilmesi. DEUFMD. 2022;24(70):179-92.

Dokuz Eylül Üniversitesi, Mühendislik Fakültesi Dekanlığı Tınaztepe Yerleşkesi, Adatepe Mah. Doğuş Cad. No: 207-I / 35390 Buca-İZMİR.