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Development of a Software Solution for Solar-PV Power Systems Sizing and Monitoring

Year 2013, Volume: 3 Issue: 3, 698 - 706, 01.09.2013

Abstract

Power systems sizing and monitoring are very important design components in determining the overall performance of solar-photovoltaic (PV) systems. These design components represent the pre-installation and post-installation stages of solar-PV systems planning respectively, and paying adequate attention to them can go a long way to increasing the working life of solar-PV system installations. The SolarHelper developed in this work is a small software solution package that monitors and records vital system variables that will give the state and performance of an existing solar-PV installation at any given time; and it is able to accurately provide a simulated output of the required battery storage capacity, and PV array size based on load demands.

References

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  • K. Katti, and M.K. Khedkar, “Alternative energy facilities based on site matching and generation unit sizing for remote area power supply”, Renewable Energy, pp. 1346-66, 2007.
  • E. Koutroulis, D. Kolokotsa, A. Potirakis, and K. Kalaitzakis, “Methodology for optimal sizing of stand- alone photovoltaic/wind-generator systems using genetic algorithms”, Solar Energy, pp. 1072-88, 2006.
  • G. Capizzi, and G. Tina, “Long-term operation optimization of integrated generation systems by fuzzy logic-based management” Energy, pp. 1047-54, 2007.
  • C. Protogeropoulos, B.J. Brinkworth, and R.H. Marshall, “Sizing and techno-economical optimization for hybrid solar photovoltaic/wind power systems with battery storage”, International Journal of Energy Review, pp. 465-79, 1997.
  • H. Yang, L. Lu, and W. Zhou, “A novel optimization sizing model for hybrid solar-wind power generation system”, Solar Energy Journal, pp.76-84, G.C.H. Seeling, “A combined optimization concept for the design and operation strategy of hybrid-PV energy systems”, Solar Energy, Vol.61 (2), pp.77-87, 1997.
  • P. Larancij, L. Silveir, and W.Q. Lamas Engenharia Termica, “Solar Software Applied to Design a Photovoltaic System to supply the energy demand of an Italian school”, (Thermal Engineering), Vol. 8(2), pp.84- , December 2009.
  • Mark Hankins, Stand-Alone Solar Electric Systems. The Earthscan Expert Handbook for Planning, Design and Installation, earthscan expert series, London, 2010, pp. 117-140.
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  • Michael Owens, The Definitive Guide SQLite, New York: Springer-Verlag, 2006, pp. 171-423.
Year 2013, Volume: 3 Issue: 3, 698 - 706, 01.09.2013

Abstract

References

  • Alberto Escudero Pascual, “Sizing of standalone PV systems based on the “worst month” method”, available at: http://fantsuam.it46.se/files/D1/IT46_en_solar_energy_di mentioning.pdf, accessed on 1 April, 2013.
  • Hybrid optimization model for electric renewables- HOMER, available at: at: P. Niemeyer, and J. Knudsen, Learning Java, 3rd ed., O’Reilly Media, 2005, ch.9 and ch.10.
  • Wikibooks: Serial Programming in Java, available at: http://en.wikibooks.org/wiki/Serial_Programming/Serial_ Java, accessed on 10 July, 2013.
  • Gupta A, et al., “Modelling of hybrid energy system-Part I: Problem formulation and model development”, Renewable doi:10.1016/j.renene.2010.06.035. (In press),
  • Gupta A, et al., “Modelling of hybrid energy system-Part II: Combined dispatch strategies and solution algorithm”, Renewable doi:10.1016/j.renene.2009.04.035. (In press),
  • K. Katti, and M.K. Khedkar, “Alternative energy facilities based on site matching and generation unit sizing for remote area power supply”, Renewable Energy, pp. 1346-66, 2007.
  • E. Koutroulis, D. Kolokotsa, A. Potirakis, and K. Kalaitzakis, “Methodology for optimal sizing of stand- alone photovoltaic/wind-generator systems using genetic algorithms”, Solar Energy, pp. 1072-88, 2006.
  • G. Capizzi, and G. Tina, “Long-term operation optimization of integrated generation systems by fuzzy logic-based management” Energy, pp. 1047-54, 2007.
  • C. Protogeropoulos, B.J. Brinkworth, and R.H. Marshall, “Sizing and techno-economical optimization for hybrid solar photovoltaic/wind power systems with battery storage”, International Journal of Energy Review, pp. 465-79, 1997.
  • H. Yang, L. Lu, and W. Zhou, “A novel optimization sizing model for hybrid solar-wind power generation system”, Solar Energy Journal, pp.76-84, G.C.H. Seeling, “A combined optimization concept for the design and operation strategy of hybrid-PV energy systems”, Solar Energy, Vol.61 (2), pp.77-87, 1997.
  • P. Larancij, L. Silveir, and W.Q. Lamas Engenharia Termica, “Solar Software Applied to Design a Photovoltaic System to supply the energy demand of an Italian school”, (Thermal Engineering), Vol. 8(2), pp.84- , December 2009.
  • Mark Hankins, Stand-Alone Solar Electric Systems. The Earthscan Expert Handbook for Planning, Design and Installation, earthscan expert series, London, 2010, pp. 117-140.
  • Photovoltaic Design Assistance Center, Stand- Alone Recommended Laboratories, March 1995, pp. 7-40. A Handbook of design practices, Sandia National
  • Michael Owens, The Definitive Guide SQLite, New York: Springer-Verlag, 2006, pp. 171-423.
There are 14 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

İshioma Ani Odigwe This is me

Chidiebere Nnadi This is me

Ayoade Felix Agbetuyi This is me

Ajibola Ayokunle Awelewa This is me

Francis Idachaba This is me

Publication Date September 1, 2013
Published in Issue Year 2013 Volume: 3 Issue: 3

Cite

APA Odigwe, İ. A., Nnadi, C., Agbetuyi, A. F., Awelewa, A. A., et al. (2013). Development of a Software Solution for Solar-PV Power Systems Sizing and Monitoring. International Journal Of Renewable Energy Research, 3(3), 698-706.
AMA Odigwe İA, Nnadi C, Agbetuyi AF, Awelewa AA, Idachaba F. Development of a Software Solution for Solar-PV Power Systems Sizing and Monitoring. International Journal Of Renewable Energy Research. September 2013;3(3):698-706.
Chicago Odigwe, İshioma Ani, Chidiebere Nnadi, Ayoade Felix Agbetuyi, Ajibola Ayokunle Awelewa, and Francis Idachaba. “Development of a Software Solution for Solar-PV Power Systems Sizing and Monitoring”. International Journal Of Renewable Energy Research 3, no. 3 (September 2013): 698-706.
EndNote Odigwe İA, Nnadi C, Agbetuyi AF, Awelewa AA, Idachaba F (September 1, 2013) Development of a Software Solution for Solar-PV Power Systems Sizing and Monitoring. International Journal Of Renewable Energy Research 3 3 698–706.
IEEE İ. A. Odigwe, C. Nnadi, A. F. Agbetuyi, A. A. Awelewa, and F. Idachaba, “Development of a Software Solution for Solar-PV Power Systems Sizing and Monitoring”, International Journal Of Renewable Energy Research, vol. 3, no. 3, pp. 698–706, 2013.
ISNAD Odigwe, İshioma Ani et al. “Development of a Software Solution for Solar-PV Power Systems Sizing and Monitoring”. International Journal Of Renewable Energy Research 3/3 (September 2013), 698-706.
JAMA Odigwe İA, Nnadi C, Agbetuyi AF, Awelewa AA, Idachaba F. Development of a Software Solution for Solar-PV Power Systems Sizing and Monitoring. International Journal Of Renewable Energy Research. 2013;3:698–706.
MLA Odigwe, İshioma Ani et al. “Development of a Software Solution for Solar-PV Power Systems Sizing and Monitoring”. International Journal Of Renewable Energy Research, vol. 3, no. 3, 2013, pp. 698-06.
Vancouver Odigwe İA, Nnadi C, Agbetuyi AF, Awelewa AA, Idachaba F. Development of a Software Solution for Solar-PV Power Systems Sizing and Monitoring. International Journal Of Renewable Energy Research. 2013;3(3):698-706.