This paper explores the techno-economic feasibility of renewable power generation in a remote South China Sea island, seeking to substitute the existing diesel generator with a PV-wind-diesel-battery hybrid energy system (HES). First, the authors assessed the availability of local renewable energy resources, elaborated the dispatch strategy of the HES, and introduced the load curve, system configuration, techno-economic specifications of the major components. Then, the Hybrid Optimization of Multiple Energy Resources (HOMER) software was employed to simulate and optimize the HES. In order to identify the optimal configuration of the system, different combinations of the HES were simulated before comparing the economic and operation information of the feasible alternatives. Through the simulation and optimization, it is concluded that the HES can provide sufficient and reliable power to the study area. Finally, the economic and resources sensitivity analysis was performed to identify how the optimal design is to change with the sensitivity variables.
hybrid energy system, techno-economic feasibility, hybrid optimization of multiple energy resources (HOMER).
This work is financially supported by “The national science and technology support program (supported by Ministry of Science and Technology of P.R.C. No. 2014BAC01B05)”. The authors are grateful that comments and suggestions provided by anonymous reviewers and editor helped to improve the quality of the paper.
1. W. Kunlin, Y. You, Y. Zhang, Energy management system of renewable stand-alone energy power generation system in an island, 2010, Automation of Electric Power Systems, vol. 34, no. 14, pp. 13-17.
2. J. Yongming, On China's strategy of building an ocean power and its legal system. 2015, the bulletin of the Institute for World Affairs, Kyoto Sangyo University, pp. 41-59.
3. K.M.R. Basir, Optimal combination of solar, wind, micro-hydro and diesel systems based on actual seasonal load profiles for a resort island in the South China Sea, 2015, Energy, vol. 82, pp. 80-97.
4. H. Momowar, S. Mekhilef, L. Olatomiwa, Performance evaluation of a stand-alone PV-wind-diesel-battery hybrid system feasible for a large resort center in South China Sea, Malaysia, 2017, Sustainable Cities and Society, vol. 28, pp. 358-366.
5. M. Ali, F. Tangang, L. Juneng, Wave energy potential assessment in the central and southern regions of the South China Sea, 2015, Renewable Energy, vol. 80, pp. 454-470.
6. R.M. Mustafizur, M.M.U.H. Khan, M.A. Ullah. A hybrid renewable energy system for a North American off-grid community, 2016, Energy, vol. 97, pp. 151-160.
7. W. Shouxiang, Z.X. Li, L. Wu, New metrics for assessing the reliability and economics of microgrids in distribution system, 2013, IEEE Trans. on Power Systems, vol. 28, no. 3, pp. 2852-2861.
8. B. Binayak, K.T. Lee, C.S. Lee, A novel off-grid hybrid power system comprised of solar photovoltaic, wind, and hydro energy sources, 2014, Applied Energy, vol. 133, pp. 236-242.
9. H.R. Baghaee, M. Mirsalim, G.B. Gharehpetian, Reliability/cost-based multi-objective Pareto optimal design of stand-alone wind/PV/FC generation microgrid system, 2016, Energy, vol. 115, pp. 1022-1041.
10. W.L. Theo, J.S. Lim, W.S. Ho. Review of distributed generation (DG) system planning and optimization techniques: Comparison of numerical and mathematical modelling methods, 2017, Renewable and Sustainable Energy Reviews, vol. 67, pp. 531-573.
11. A.Q. Jakhrani, A.K. Othman, A.R.H. Rigit, A novel analytical model for optimal sizing of standalone photovoltaic systems, 2012, Energy, vol. 46, pp. 675-682.
12. M.O. Abdullah, V.C. Yung, M. Anyi, Review and comparison study of hybrid diesel-solar-hydro-fuel cell energy schemes for a rural ICT Tele-center, 2010, Energy, vol. 35, pp. 639-646.
13. A. Chauhan, R.P. Saini, Techno-economic feasibility study on integrated renewable energy system for an isolated community of India, 2016, Renewable and Sustainable Energy Reviews vol. 59, pp. 388-405.
14. P. Nema, R.K. Nema, S. Rangnekar, Minimization of greenhouse gases emission by using hybrid energy system for telephony base station site application, 2010, Renewable and Sustainable Energy Reviews, vol. 14, pp. 1635-1639.
15. A.B. Kanase-Patil, R.P. Saini, M.P. Sharma, Integrated renewable energy systems for off grid rural electrification of remote area, 2010, Renewable Energy, vol. 35, pp. 1342-1349.
16. S. Sinha, S.S. Chandel, Review of software tools for hybrid renewable energy systems, 2014, Renewable and Sustainable Energy Reviews, vol. 32, pp. 192-205.
17. S.G. Sigarchian, R. Paleta, A. Malmquist, Feasibility study of using a biogas engine as backup in a decentralized hybrid (PV-wind-battery) power generation system-Case study Kenya, 2015, Energy, vol. 90, pp. 1830-1841.
18. H. Borhanazad, S. Mekhilef, V.G. Ganapathy, Optimization of micro-grid system using MOPSO, 2014, Renewable Energy, vol. 71, pp. 295-306.
19. T. Tezer, R. Yaman, G. Yaman, Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems, 2017, Renewable and Sustainable Energy Reviews, vol. 73, pp. 840–853.
20. G. Mendes, C. Ioakimidis, P. Ferrão, On the planning and analysis of Integrated Community Energy Systems: A review and survey of available tools, 2011, Renewable and Sustainable Energy Reviews, vol. 15, pp. 4836-4854.
21. S. Bahramara, M.P. Moghaddam, M.R. Haghifam, Optimal planning of hybrid renewable energy systems using HOMER: A review, 2016, Renewable and Sustainable Energy Reviews vol. 62, pp. 609-620.
22. N. Izadyar, H.C. Ong, W.T. Chong, Resource assessment of the renewable energy potential for a remote area: A review, 2016, Renewable and Sustainable Energy Reviews, vol. 62, pp. 908-923.
23. NASA, Atmospheric science data center, https://eosweb.larc.nasa.gov, accessed 13 March 2017.
24. China meteorological administration, Assessment Method for Solar Energy, http://www.cma.gov.cn, accessed 13 March 2017.
25. C.W. Zheng, J. Pan, J.X. Li. Assessing the China Sea wind energy and wave energy resources from 1988 to 2009, 2013, Ocean Engineering, vol. 65, pp. 39-48.
26. J. Wang, J. Hu, K. Ma, Wind speed probability distribution estimation and wind energy assessment, 2016, Renewable and Sustainable Energy Reviews, vol. 60, pp. 881-899.
27. S. Mathew, Wind Energy: Fundamentals, resource analysis and economics, 2007, Springer.
28. K. Mohammadi, O. Alavi, A. Mostafaeipour, Assessing different parameters estimation methods of Weibull distribution to compute wind power density, 2015, Energy Conversion and Management, vol. 108, pp. 322-335.
29. General administration of quality supervision, Methodology of Wind Energy Resource Measurement for Wind Farm, http://english.aqsiq.gov.cn/LawsandRegulations, accessed 13 March 2017.
30. R. Guerrero-Lemus, R. Vega, T. Kim, Bifacial solar photovoltaics-A technology review, 2016, Renewable and Sustainable Energy Reviews, vol. 60, pp. 1533-1549.
31. X. Luo, J. Wang, M. Dooner, Overview of current development in electrical energy storage technologies and the application potential in power system operation, 2015, Applied Energy, vol. 137, pp. 511-536.
32. A.H. Mamaghani, S.A.A. Escandon, G.B. Gharehpetian, Techno-economic feasibility of photovoltaic, wind, diesel and hybrid electrification systems for off-grid rural electrification in Colombia, 2016, Renewable Energy, vol. 97, pp. 293-305.