Prediction of daily global solar radiation using different empirical models at eastern subtropical region, Nepal
Author Affiliations
- 1Department of Mechanical Engineering, IOE Pulchowk Campus, TU, Nepal
- 2Department of Mechanical Engineering, IOE Pulchowk Campus, TU, Nepal
- 3Department of Mechanical Engineering, IOE Pulchowk Campus, TU, Nepal
- 4Department of Physics, Patan Multiple Campus, TU, Nepal
- 5Department of Applied Sciences and Chemical Engineering, IOE Pulchowk Campus, TU, Nepal
Int. Res. J. Environment Sci., Volume 10, Issue (1), Pages 14-22, January,22 (2021)
Abstract
The current study estimates the daily global solar radiation (GSR) at subtropical region of eastern Nepal at Biratnagar Airport (lat. 26°28&
References
- Karanth, V. (2007). Modernization and global warming. Current Science, 93, 7-8., undefined, undefined
- WECS (2010). Energy Sector Synopsis Report 2010, Water and Energy Commission Secretariat, Kathmandu, Nepal, pp 1-98., undefined, undefined
- Fadare, D. A. (2009). Modelling of solar energy potential in Nigeria using an artificial neural network model. Applied Energy, 86(9), 1410-1422. https://doi.org/ 10.1016/ j.apenergy.2008.12.005, undefined, undefined
- Amrouche, B.,& le Pivert, X. (2014). Artificial neural network based daily local forecasting for global solar radiation. Applied Energy, 130, 333-341. https://doi.org/10.1016/j.apenergy.2014.05.055, undefined, undefined
- Besharat, F., Dehghan, A. A., & Faghih, A. R. (2013). Empirical models for estimating global solar radiation: A review and case study. Renewable and Sustainable Energy Reviews, 21, 798-821. https://doi.org/10.1016/ j.rser.2012.12.043, undefined, undefined
- Chen, J. L., He, L., Yang, H., Ma, M., Chen, Q., Wu, S. J., & Xiao, Z.L. (2019). Empirical models for estimating monthly global solar radiation: A most comprehensive review and comparative case study in China. Renewable and Sustainable Energy Reviews, 108, 91-111. https://doi.org/10.1016/j.rser.2019.03.033, undefined, undefined
- Voyant, C., Darras, C., Muselli, M., Paoli, C., Nivet, M. L., & Poggi, P. (2014). Bayesian rules and stochastic models for high accuracy prediction of solar radiation. Applied Energy, 114, 218-226. https://doi.org/10.1016/ j.apenergy.2013.09.051, undefined, undefined
- Pinker, R. T., Frouin, R., & Li, Z. (1995). A review of satellite methods to derive surface shortwave irradiance. Remote Sensing of Environment, 51(1),108-124., undefined, undefined
- Feng, Y., Gong, D., Jiang, S., Zhao, L., & Cui, N. (2020). National-scale development and calibration of empirical models for predicting daily global solar radiation in China. Energy Conversion and Management, 203, 112236. https://doi.org/10.1016/j.enconman.2019.112236, undefined, undefined
- Bajracharya, S.R., Shrestha, M.S., & Shrestha, A.B. (2017). Assessment of high-resolution satellite rainfall estimation products in a streamflow model for flood prediction in the Bagmati basin, Nepal. Journal of Flood Risk Management, 10(1), 5-16. https://doi.org/10.1111/jfr3.12133, undefined, undefined
- Martinez-lozano, J., Tena, F., Onrubia, J., & la Rubia, J. de. (1984). The historical evolution of the Angstrom formula and its modifications: Review and bibliography. Agriculture and Forest Meteorology, 33(2-3), 109-128.https://doi.org/10.1016/0168-1923(84)90064-9, undefined, undefined
- Poudyal, K.N. (2015). Estimation of global solar radiation using Modified Angstrom empirical formula on the basis of meteorological parameters in Himalaya Region Pokhara, Nepal. Journal of the Institute of Engineering, 11(1), 158-164., undefined, undefined
- Awasthi, J., & Poudyal, K.N. (2018). Estimation of global solar radiation using empirical model on meteorological parameters at Simara Airport, Bara, Nepal. Journal of the Institute of Engineering, 14(1), 143-150., undefined, undefined
- Makade, R.G., Chakrabarti, S., & Jamil, B. (2019). Prediction of global solar radiation using a single empirical model for diversified locations across India. Urban Climate, 29, 100492. https://doi.org/10.1016/ j.uclim.2019.100492, undefined, undefined
- Srivastava, R.C., & Pandey, H. (2013). Estimating Angstrom-Prescott coefficients for India and developing a correlation between sunshine hours and global solar radiation for India. ISRN Renewable Energy, 1-7. https://doi.org/10.1155/2013/403742, undefined, undefined
- Despotovic, M., Nedic, V., Despotovic, D., &Cvetanovic, S. (2015). Review and statistical analysis of different global solar radiation sunshine models. Renewable and Sustainable Energy Reviews,52,1869-1880. https://doi.org/10.1016/j.rser.2015.08.035, undefined, undefined
- Trnka, M., Zalud, Z., Eitzinger, J., &Dubrovsky, M. (2005). Global solar radiation in Central European lowlands estimated by various empirical formulae. Agricultural and Forest Meteorology, 131(1-2), 54-76. https://doi.org/ 10.1016/j.agrformet.2005.05.002, undefined, undefined
- Mecibah, M.S., Boukelia, T.E., Tahtah, R., &Gairaa, K. (2014). Introducing the best model for estimation the monthly mean daily global solar radiation on a horizontal surface (Case study: Algeria). Renewable and Sustainable Energy Reviews, 36,194-202. https://doi.org/ 10.1016/ j.rser.2014.04.054, undefined, undefined
- Podesta, G.P., Núnez, L., Villanueva, C.A., &Skansi, M.A. (2004). Estimating daily solar radiation in the Argentine Pampas. Agricultural and Forest Meteorology, 123(1-2), 41-53. https://doi.org/10.1016/j.agrformet.2003.11.002, undefined, undefined
- Hargreaves, G.H., &Samani, Z.A. (1982). Estimating potential evapotranspiration. Journal of Irrigation and Drainage Division, 108(3), 225-230., undefined, undefined
- Hassan, G.E., Youssef, M.E., Mohamed, Z.E., Ali, M.A., & Hanafy, A.A. (2016). New temperature-based models for predicting global solar radiation. Applied Energy, 179, 437-450. https://doi.org/10.1016/j.apenergy.2016.07.006, undefined, undefined
- Li, M.F., Tang, X.P., Wu, W., & Liu, H.B. (2013). General models for estimating daily global solar radiation for different solar radiation zones in mainland China. Energy Conversion and Management,70,139-148. https://doi.org/ 10.1016/j.enconman.2013.03.004, undefined, undefined
- Goodin, D.G., Hutchinson, J.M.S., Vanderlip, R.L., & Knapp, M.C. (1999). Estimating solar irradiance for crop modeling using daily air temperature data. Agronomy Journal,91(5),845-851. American Society of Agronomy. https://doi.org/10.2134/agronj1999.915845x, undefined, undefined
- Fan, J., Chen, B., Wu, L., Zhang, F., Lu, X., & Xiang, Y. (2018). Evaluation and development of temperature-based empirical models for estimating daily global solar radiation in humid regions. Energy, 144, 903-914. https://doi.org/ 10.1016/j.energy.2017.12.091, undefined, undefined
- Falayi, E., Adepitan, J., &Rabiu, A. (2008). Empirical models for the correlation of global solar radiation with meteorological data for Iseyin, Nigeria. International Journal of Physical Sciences, 3(9), 210-216., undefined, undefined
- Garcia, J.V. (1994). PrincipiosFisicos de la Climatologia, Ediciones. UNALM (Universidad Nacional Agraria La Molina: Lima, Peru., undefined, undefined
- Chen, J.L., & Li, G.S. (2013). Estimation of monthly average daily solar radiation from measured meteorological data in Yangtze River Basin in China. International Journal of Climatology, 33,487-498. https://doi.org/ 10.1002/joc.3442, undefined, undefined
- John A. Duffie and William A. Beckman (2013). Solar engineering of thermal processes, John Wiley & Sons, Hoboken, New Jersey, pp 3-41. ISBN: 978-1-118-43348-5, undefined, undefined
- Cooper, P.I. (1969). The absorption of radiation in solar stills. Solar Energy, 12(3), 333-346.https://doi.org/ 10.1016/0038-092X(69)90047-4, undefined, undefined