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Designing standalone hybrid energy systems minimizing initial investment, life cycle cost and pollutant emission

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  • Perera, A.T.D.
  • Attalage, R.A.
  • Perera, K.K.C.K.
  • Dassanayake, V.P.C.

Abstract

HES (hybrid energy system)s are becoming energy systems of choice for standalone applications due to ever increasing fuel costs and global concern on GHG (Green House Gas) emissions. However, it is difficult to justify the higher ICC (Initial Capital Cost) of renewable energy components, especially for rural electrification projects in developing countries. This paper illustrates the modeling and simulation of HESs, and multi-objective optimization carried out in order to support decision-making in such instances. LEC (Levelized Energy Cost), ICC and GHG emission were taken as objective functions in the optimization and the sensitivity of market prices and power supply reliability was further evaluated. Results depict that Pareto front of LEC, ICC and GHG emission can be simplified as a combination of ICC–LEC and LEC–GHG emission Pareto fronts making the decision-making process simpler. Gradual integration of renewable energy sources in a number of design stages is proposed for instances where it is difficult to bear the higher ICC. Finally, importance of planning integration of renewable energy sources at early design stages of the project is highlighted in order to overcome the difficulties that need to be faced when coming up with the optimum design.

Suggested Citation

  • Perera, A.T.D. & Attalage, R.A. & Perera, K.K.C.K. & Dassanayake, V.P.C., 2013. "Designing standalone hybrid energy systems minimizing initial investment, life cycle cost and pollutant emission," Energy, Elsevier, vol. 54(C), pages 220-230.
  • Handle: RePEc:eee:energy:v:54:y:2013:i:c:p:220-230
    DOI: 10.1016/j.energy.2013.03.028
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    1. Diaf, S. & Notton, G. & Belhamel, M. & Haddadi, M. & Louche, A., 2008. "Design and techno-economical optimization for hybrid PV/wind system under various meteorological conditions," Applied Energy, Elsevier, vol. 85(10), pages 968-987, October.
    2. Byrne, John & Zhou, Aiming & Shen, Bo & Hughes, Kristen, 2007. "Evaluating the potential of small-scale renewable energy options to meet rural livelihoods needs: A GIS- and lifecycle cost-based assessment of Western China's options," Energy Policy, Elsevier, vol. 35(8), pages 4391-4401, August.
    3. Hakimi, S.M. & Moghaddas-Tafreshi, S.M., 2009. "Optimal sizing of a stand-alone hybrid power system via particle swarm optimization for Kahnouj area in south-east of Iran," Renewable Energy, Elsevier, vol. 34(7), pages 1855-1862.
    4. Bernal-Agustín, José L. & Dufo-López, Rodolfo & Rivas-Ascaso, David M., 2006. "Design of isolated hybrid systems minimizing costs and pollutant emissions," Renewable Energy, Elsevier, vol. 31(14), pages 2227-2244.
    5. Dalton, G.J. & Lockington, D.A. & Baldock, T.E., 2009. "Case study feasibility analysis of renewable energy supply options for small to medium-sized tourist accommodations," Renewable Energy, Elsevier, vol. 34(4), pages 1134-1144.
    6. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Yusta-Loyo, José M. & Domínguez-Navarro, José A. & Ramírez-Rosado, Ignacio J. & Lujano, Juan & Aso, Ismael, 2011. "Multi-objective optimization minimizing cost and life cycle emissions of stand-alone PV–wind–diesel systems with batteries storage," Applied Energy, Elsevier, vol. 88(11), pages 4033-4041.
    7. Fadaee, M. & Radzi, M.A.M., 2012. "Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3364-3369.
    8. Himri, Y. & Boudghene Stambouli, A. & Draoui, B. & Himri, S., 2008. "Techno-economical study of hybrid power system for a remote village in Algeria," Energy, Elsevier, vol. 33(7), pages 1128-1136.
    9. Ekren, Orhan & Ekren, Banu Y., 2010. "Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing," Applied Energy, Elsevier, vol. 87(2), pages 592-598, February.
    10. Gupta, Ajai & Saini, R.P. & Sharma, M.P., 2011. "Modelling of hybrid energy system—Part II: Combined dispatch strategies and solution algorithm," Renewable Energy, Elsevier, vol. 36(2), pages 466-473.
    11. Kaldellis, J.K., 2010. "Optimum hybrid photovoltaic-based solution for remote telecommunication stations," Renewable Energy, Elsevier, vol. 35(10), pages 2307-2315.
    12. Nandi, Sanjoy Kumar & Ghosh, Himangshu Ranjan, 2009. "A wind-PV-battery hybrid power system at Sitakunda in Bangladesh," Energy Policy, Elsevier, vol. 37(9), pages 3659-3664, September.
    13. Perera, A.T.D. & Wickremasinghe, D.M.I.J. & Mahindarathna, D.V.S. & Attalage, R.A. & Perera, K.K.C.K. & Bartholameuz, E.M., 2012. "Sensitivity of internal combustion generator capacity in standalone hybrid energy systems," Energy, Elsevier, vol. 39(1), pages 403-411.
    14. Kaldellis, J.K. & Kondili, E. & Filios, A., 2006. "Sizing a hybrid wind-diesel stand-alone system on the basis of minimum long-term electricity production cost," Applied Energy, Elsevier, vol. 83(12), pages 1384-1403, December.
    15. Thapar, Vinay & Agnihotri, Gayatri & Sethi, Vinod Krishna, 2011. "Critical analysis of methods for mathematical modelling of wind turbines," Renewable Energy, Elsevier, vol. 36(11), pages 3166-3177.
    16. Zhou, Wei & Lou, Chengzhi & Li, Zhongshi & Lu, Lin & Yang, Hongxing, 2010. "Current status of research on optimum sizing of stand-alone hybrid solar-wind power generation systems," Applied Energy, Elsevier, vol. 87(2), pages 380-389, February.
    17. Kanase-Patil, A.B. & Saini, R.P. & Sharma, M.P., 2010. "Integrated renewable energy systems for off grid rural electrification of remote area," Renewable Energy, Elsevier, vol. 35(6), pages 1342-1349.
    18. Kaldellis, J.K. & Vlachos, G.Th., 2006. "Optimum sizing of an autonomous wind-diesel hybrid system for various representative wind-potential cases," Applied Energy, Elsevier, vol. 83(2), pages 113-132, February.
    19. Notton, G. & Lazarov, V. & Stoyanov, L., 2010. "Optimal sizing of a grid-connected PV system for various PV module technologies and inclinations, inverter efficiency characteristics and locations," Renewable Energy, Elsevier, vol. 35(2), pages 541-554.
    20. Ashok, S., 2007. "Optimised model for community-based hybrid energy system," Renewable Energy, Elsevier, vol. 32(7), pages 1155-1164.
    21. Dalton, G.J. & Lockington, D.A. & Baldock, T.E., 2008. "Feasibility analysis of stand-alone renewable energy supply options for a large hotel," Renewable Energy, Elsevier, vol. 33(7), pages 1475-1490.
    22. Bolinger, Mark & Wiser, Ryan, 2012. "Understanding wind turbine price trends in the U.S. over the past decade," Energy Policy, Elsevier, vol. 42(C), pages 628-641.
    23. Kumar Nandi, Sanjoy & Ranjan Ghosh, Himangshu, 2010. "Techno-economical analysis of off-grid hybrid systems at Kutubdia Island, Bangladesh," Energy Policy, Elsevier, vol. 38(2), pages 976-980, February.
    24. Yang, Hongxing & Wei, Zhou & Chengzhi, Lou, 2009. "Optimal design and techno-economic analysis of a hybrid solar-wind power generation system," Applied Energy, Elsevier, vol. 86(2), pages 163-169, February.
    25. Kaabeche, A. & Belhamel, M. & Ibtiouen, R., 2011. "Sizing optimization of grid-independent hybrid photovoltaic/wind power generation system," Energy, Elsevier, vol. 36(2), pages 1214-1222.
    26. Erdinc, O. & Uzunoglu, M., 2012. "Optimum design of hybrid renewable energy systems: Overview of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1412-1425.
    27. Senjyu, Tomonobu & Hayashi, Daisuke & Yona, Atsushi & Urasaki, Naomitsu & Funabashi, Toshihisa, 2007. "Optimal configuration of power generating systems in isolated island with renewable energy," Renewable Energy, Elsevier, vol. 32(11), pages 1917-1933.
    28. Diaf, S. & Diaf, D. & Belhamel, M. & Haddadi, M. & Louche, A., 2007. "A methodology for optimal sizing of autonomous hybrid PV/wind system," Energy Policy, Elsevier, vol. 35(11), pages 5708-5718, November.
    29. Li, Chun-Hua & Zhu, Xin-Jian & Cao, Guang-Yi & Sui, Sheng & Hu, Ming-Ruo, 2009. "Dynamic modeling and sizing optimization of stand-alone photovoltaic power systems using hybrid energy storage technology," Renewable Energy, Elsevier, vol. 34(3), pages 815-826.
    30. Khan, M.J. & Iqbal, M.T., 2005. "Pre-feasibility study of stand-alone hybrid energy systems for applications in Newfoundland," Renewable Energy, Elsevier, vol. 30(6), pages 835-854.
    31. Díaz, P. & Arias, C.A. & Peña, R. & Sandoval, D., 2010. "FAR from the grid: A rural electrification field study," Renewable Energy, Elsevier, vol. 35(12), pages 2829-2834.
    32. Kaldellis, J.K. & Zafirakis, D. & Kavadias, K., 2012. "Minimum cost solution of wind–photovoltaic based stand-alone power systems for remote consumers," Energy Policy, Elsevier, vol. 42(C), pages 105-117.
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