Study of comparison of solar power generation between the GridLAB-D tool
and System Advisor Model (SAM) in Dili, Timor Leste is presented in this paper.
Weather Research and Forecasting (WRF) model is used to simulate solar
radiation for one calendar year from January to December 2014 using six-hourly
interval 1° × 1° NCEP FNL analysis data. The one calendar year results from the
WRF model will be used as input data for GridLAB-D and SAM to estimate the
solar power generation. GridLAB-D is an open-source and analysis tool designed
to operate the distribution power systems with a high-performance algorithm. System Advisor Model version SAM 2017.9.5 is used to estimate solar power performance with Photovoltaics (PVWatts)-Commercial Distributed
model. This model is designed to analyze the performance and the financing of
renewable energy for electricity generation. The results show the lowest solar
radiation is 512 W/m2 obtained in June with an average monthly power of 20.6 kW and 30.55 kW generated from the SAM model and the GridLAB-D simulator, respectively. Meanwhile, the highest
solar radiation is 1100 W/m2, 1112 W/m2, 1046 W/m2,
and 1077 W/m2 obtained in
October, November, December, and January with an average monthly power of 55.72 kW, 62.44 kW, 56.65 kW, and 56.97
kW from the SAM model, in the other hand, 48.89 kW, 51.31 kW, 55.51 kW,
and 57.18 kW generated by the GridLAB-D. Finally, the results show that the
performance of the GridLAB-D and the SAM model was quite good because both
model precisely presented values are almost closest to each other. This study
proposes that the results of solar output power from both methods, GridLAB-D
and SAM can be used to design grid-connected or stand-alone electric power
projects to increase the quality of electricity generation in Dili, Timor
Leste.
References
[1]
Timor Leste Strategic Plan 2011-2030.
http://timor-leste.gov.tl/wp-content/uploads/2011/07/Timor-Leste-Strategic-Plan-2011-20301.pdf
[2]
Shahsavari, A. and Akbari, M. (2018) Potential of Solar Energy in Developing Countries for Reducing Energy-Related Emissions. Renewable and Sustainable Energy Reviews, 90, 275-291. https://doi.org/10.1016/j.rser.2018.03.065
[3]
de Araujo, J.M.S. (2019) WRF Wind Speed Simulation and SAM Wind Energy Estimation: A Case Study in Dili Timor Leste. IEEE Access, 7, 35382-35393.
https://doi.org/10.1109/ACCESS.2019.2904755
[4]
Dobos, A., Neises, T. and Wagner, M. (2014) Advances in CSP Simulation Technology in the System Advisor Model. Energy Procedia, 49, 2482-2489.
https://doi.org/10.1016/j.egypro.2014.03.263
[5]
Broeer, T., Fuller, J., Tuffner, F., Chassin, D. and Djilali, N. (2014) Modeling Framework and Validation of a Smart Grid and Demand Response System for Wind Power Integration. Applied Energy, 113, 199-207.
https://doi.org/10.1016/j.apenergy.2013.06.058
[6]
Ezeanya, E.K., Massiha, G.H., Simon, W.E., Raush, J.R. and Chambers, T.L. (2018) System Advisor Model (SAM) Simulation Modelling of a Concentrating Solar Thermal Power Plant with Comparison to Actual Performance Data. Cogent Engineering, 5, Article ID: 1524051. https://doi.org/10.1080/23311916.2018.1524051
Skamarock, W., Klemp, J., Dudhia, J, Gill, D., Barker, D., Duda, M., et al. (2008) A Description of the Advanced Research WRF Version 3.
http://dx.doi.org/10.5065/D68S4MVH
[9]
Hong, S.-Y., Dudhia, J. and Chen, S.-H. (2004) A Revised Approach to Ice Microphysical Processes for the Bulk Parameterization of Clouds and Precipitation. Monthly Weather Revision, 132, 103-120.
https://doi.org/10.1175/1520-0493(2004)132<0103:ARATIM>2.0.CO;2
[10]
Mlawer, E.J., Taubman, J., Brownn, P.D., Iacono, M.J. and Clough, S.A. (1997) Radiative Transfer for Inhomogeneous Atmospheres: RRTM, a Validated Correlated-k Model for the Longwave. Journal of Geophysical Research: Atmospheres, 102 16663- 16682. https://doi.org/10.1029/97JD00237
[11]
Iacono, M.J., Mlawer, E.J., Clough, S.A. and Morcrette, J.-J. (2000) Impact of an Improved Long Wave Radiation Model, RRTM, on the Energy Budget and Thermodynamic Properties of the NCAR Community Climate Mode, CCM3. Journal of Geophysical Research: Atmospheres, 105, 14873-14890.
https://doi.org/10.1029/2000JD900091
[12]
Chen, F. (2007) The Noah Land Surface Model in WRF.
https://www.atmos.illinois.edu/~snesbitt/ATMS597R/notes/noahLSM-tutorial.pdf
[13]
Hong, S.Y., Noh, Y. and Dudhia, J. (2006) A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes. Monthly Weather Review, 134, 2318-2341. https://doi.org/10.1175/MWR3199.1
[14]
Bianco, L. Surface Layer Parameterization in WRF.
http://cires1.colorado.edu/science/groups/pielke/classes/at7500/Bianco_SFC.pdf
[15]
NCL (2017) The NCAR Command Language (Version 6.5.0).
[16]
Chassin, D.P., Schneide, K. and Gerkensmeyer, C. (2008) GridLAB-D: An Open-Source Power System Modeling and Simulation Environment. IEEE, Chicago, IL, 21-24 April 2008, 1-5. https://doi.org/10.1109/TDC.2008.4517260
[17]
System Advisor Model (SAM). https://sam.nrel.gov/
[18]
Timor-Leste Ministry of Finance Annual Income-Tax Return.
https://www.mof.gov.tl/?s=annual+income&lang=en
[19]
Miller, L., Cariveau, R., Harper, S. and Singh, S. (2017) Evaluating the Link between LCOE and PPA Elements and Structure for Wind Energy. Energy Strategy Reviews, 16, 33-42. https://doi.org/10.1016/j.esr.2017.02.006
[20]
Diagne, M., David, M., Boland, J., Schmutz, N. and Lauret, P. (2014) Post-Processing of Solar Irradiance Forecasts from WRF Model at Reunion Island. Solar Energy, 105, 99-108. https://doi.org/10.1016/j.solener.2014.03.016
[21]
Olatomiwa, L., Mekhilef, S., Shamshirband, S. and Petkovic, D. (2015) Adaptive Neuro-Fuzzy Approach for Solar Radiation Prediction in Nigeria. Renewable and Sustainable Energy Reviews, 51, 1784-1792.
https://doi.org/10.1016/j.rser.2015.05.068
[22]
Khosravi, A., Koury, R.N.N., Machado, L. and Pabon, J.J.G. (2018) Prediction of Hourly Solar Radiation in Abu Musa Island Using Machine Learning Algorithms. Journal of Cleaner Production, 176, 63-75.
https://doi.org/10.1016/j.jclepro.2017.12.065
[23]
Past Weather in Dili, Timor-Leste. March 2014.
https://www.timeanddate.com/weather/timorleste/dili/historic?month=3&year=2014
