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Optimization of Renewable Energy Efficiency using HOMER

Year 2014, Volume: 4 Issue: 2, 421 - 427, 01.06.2014

Abstract

Hybrid Optimization Model for Electrical Renewable (HOMER), is a micro power optimization model, that simplifies the task of evaluating designs of both off-grid and grid-connected power systems for a variety of applications. The HOMER Hybrid Optimization Modeling Software is used for designing and analyzing hybrid power systems, which contain a mix of conventional generators, cogeneration, wind turbines, solar photovoltaic, hydropower, batteries, fuel cells, hydropower, biomass and other inputs. This paper investigates the energy efficiency of renewable energy system considering an isolated AC diesel generator. A model system consisting of a PV, three batteries and a converter system was considered. HOMER was able to calculate the best option that would give the best energy efficiency. Also, a further investigation was carried out considering two cases with two different load profiles to show that the load profiles affects the responses of the renewable energy system and the cash flow summary of some of the system equipments.

References

  • National Renewable Energy Laboratory, Energy Efficiency and Renewable Energy, USA, 2008.
  • ECOWAS Center for Renewable Energy and Energy Efficiency (ECREEE), HOMER Software for Renewable Energy Design, 2013.
  • HOMER Energy, Getting Started Guide for HOMER Legacy (Version 2.68), Homer Energy and National Renewable http://www.ecowrex.org/document/getting-started-guide- homer-legacy-version-268, 2011. Colorado.
  • Report IEA-PVPS T11- 01:2011 World-wide overview of design and simulation tools for hybrid PV systems. http://www.ecowrex.org/document/world-wide- overview-design-and-simulation-tools-hybrid-pv- systems, 2011
  • ESMAP Technical Paper 121/07 Technical and Economic Assessment of Off-grid, Mini-grid and Grid Electrification Washington, http://www.ecowrex.org/document/technical-and- Bank, cost of electricity renewable energy F. Ueckerdt, L. Hirth, G. Luderer and O. Edenhofer, “System LCOE: What are the Costs of Variable Renewables”, Postdam – Institute for Climate Impact Research, Germany, 2013.
  • M. T. Ocampo, “How to Calculate the Levelized Cost of Energy- a Simplified Approach”, Energy Technology Expert, 2009.
  • M. AboGaleela, M. El-Marsafaway, and M. El- Sobki, “Optimal Scheme with Load Forecasting for DSM in Residential Areas”, Energy and Power Engineering, vol. 5, pp. 889-896, 203. C.W. Gellings, W.M. Smith, “Integrating Demand Side Management into Utility Planing”, Proceedings of the IEEE, vol. 77, no. 6, pp. 908-918, June 1989.
Year 2014, Volume: 4 Issue: 2, 421 - 427, 01.06.2014

Abstract

References

  • National Renewable Energy Laboratory, Energy Efficiency and Renewable Energy, USA, 2008.
  • ECOWAS Center for Renewable Energy and Energy Efficiency (ECREEE), HOMER Software for Renewable Energy Design, 2013.
  • HOMER Energy, Getting Started Guide for HOMER Legacy (Version 2.68), Homer Energy and National Renewable http://www.ecowrex.org/document/getting-started-guide- homer-legacy-version-268, 2011. Colorado.
  • Report IEA-PVPS T11- 01:2011 World-wide overview of design and simulation tools for hybrid PV systems. http://www.ecowrex.org/document/world-wide- overview-design-and-simulation-tools-hybrid-pv- systems, 2011
  • ESMAP Technical Paper 121/07 Technical and Economic Assessment of Off-grid, Mini-grid and Grid Electrification Washington, http://www.ecowrex.org/document/technical-and- Bank, cost of electricity renewable energy F. Ueckerdt, L. Hirth, G. Luderer and O. Edenhofer, “System LCOE: What are the Costs of Variable Renewables”, Postdam – Institute for Climate Impact Research, Germany, 2013.
  • M. T. Ocampo, “How to Calculate the Levelized Cost of Energy- a Simplified Approach”, Energy Technology Expert, 2009.
  • M. AboGaleela, M. El-Marsafaway, and M. El- Sobki, “Optimal Scheme with Load Forecasting for DSM in Residential Areas”, Energy and Power Engineering, vol. 5, pp. 889-896, 203. C.W. Gellings, W.M. Smith, “Integrating Demand Side Management into Utility Planing”, Proceedings of the IEEE, vol. 77, no. 6, pp. 908-918, June 1989.
There are 7 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Kenneth Eloghene Okedu This is me

Roland Uhunmwangho This is me

Publication Date June 1, 2014
Published in Issue Year 2014 Volume: 4 Issue: 2

Cite

APA Okedu, K. E., & Uhunmwangho, R. (2014). Optimization of Renewable Energy Efficiency using HOMER. International Journal Of Renewable Energy Research, 4(2), 421-427.
AMA Okedu KE, Uhunmwangho R. Optimization of Renewable Energy Efficiency using HOMER. International Journal Of Renewable Energy Research. June 2014;4(2):421-427.
Chicago Okedu, Kenneth Eloghene, and Roland Uhunmwangho. “Optimization of Renewable Energy Efficiency Using HOMER”. International Journal Of Renewable Energy Research 4, no. 2 (June 2014): 421-27.
EndNote Okedu KE, Uhunmwangho R (June 1, 2014) Optimization of Renewable Energy Efficiency using HOMER. International Journal Of Renewable Energy Research 4 2 421–427.
IEEE K. E. Okedu and R. Uhunmwangho, “Optimization of Renewable Energy Efficiency using HOMER”, International Journal Of Renewable Energy Research, vol. 4, no. 2, pp. 421–427, 2014.
ISNAD Okedu, Kenneth Eloghene - Uhunmwangho, Roland. “Optimization of Renewable Energy Efficiency Using HOMER”. International Journal Of Renewable Energy Research 4/2 (June 2014), 421-427.
JAMA Okedu KE, Uhunmwangho R. Optimization of Renewable Energy Efficiency using HOMER. International Journal Of Renewable Energy Research. 2014;4:421–427.
MLA Okedu, Kenneth Eloghene and Roland Uhunmwangho. “Optimization of Renewable Energy Efficiency Using HOMER”. International Journal Of Renewable Energy Research, vol. 4, no. 2, 2014, pp. 421-7.
Vancouver Okedu KE, Uhunmwangho R. Optimization of Renewable Energy Efficiency using HOMER. International Journal Of Renewable Energy Research. 2014;4(2):421-7.