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A novel framework for optimal design of hybrid renewable energy-based autonomous energy systems: A case study for Namin, Iran

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  • Maleki, Akbar
  • Pourfayaz, Fathollah
  • Rosen, Marc A.

Abstract

An optimization model is developed to determine the most advantageous size of autonomous hybrid photovoltaic/wind turbine/fuel cell, wind turbine/fuel cell and photovoltaic/fuel cell systems for electrification of a remote area involving five homes (1 block) located in Namin, Ardabil, Iran. The model is developed based on three decision variables related to the system renewable energy components: number of storage tanks, total swept area by the rotating turbine blades and total area occupied by the set of photovoltaic panels. The former is an integer decision variable, while the latter two are continuous decision variables. All the components are modeled and an objective function is defined based on minimizing the life cycle cost and satisfying the maximum allowable loss of power supply probability. To determine optimal values of the variables that satisfy the load in the most cost-effective way, the use of simulated annealing and a combination of simulated annealing with harmony search and chaotic search is proposed. The simulation results indicate that the grid-independent hybrid photovoltaic/wind turbine/fuel cell system is the most cost-effective for supplying the block's electrical energy demands and that the simulated annealing-based harmony search algorithm yields more promising results than the other algorithms.

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  • Maleki, Akbar & Pourfayaz, Fathollah & Rosen, Marc A., 2016. "A novel framework for optimal design of hybrid renewable energy-based autonomous energy systems: A case study for Namin, Iran," Energy, Elsevier, vol. 98(C), pages 168-180.
    • Handle: RePEc:eee:energy:v:98:y:2016:i:c:p:168-180
    DOI: 10.1016/j.energy.2015.12.133
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    1. Comodi, Gabriele & Renzi, Massimiliano & Cioccolanti, Luca & Caresana, Flavio & Pelagalli, Leonardo, 2015. "Hybrid system with micro gas turbine and PV (photovoltaic) plant: Guidelines for sizing and management strategies," Energy, Elsevier, vol. 89(C), pages 226-235.
    2. Hiendro, Ayong & Kurnianto, Rudi & Rajagukguk, Managam & Simanjuntak, Yohannes M. & Junaidi,, 2013. "Techno-economic analysis of photovoltaic/wind hybrid system for onshore/remote area in Indonesia," Energy, Elsevier, vol. 59(C), pages 652-657.
    3. Belmili, Hocine & Haddadi, Mourad & Bacha, Seddik & Almi, Mohamed Fayçal & Bendib, Boualem, 2014. "Sizing stand-alone photovoltaic–wind hybrid system: Techno-economic analysis and optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 821-832.
    4. Lujano-Rojas, Juan M. & Dufo-López, Rodolfo & Bernal-Agustín, José L., 2012. "Optimal sizing of small wind/battery systems considering the DC bus voltage stability effect on energy capture, wind speed variability, and load uncertainty," Applied Energy, Elsevier, vol. 93(C), pages 404-412.
    5. 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.
    6. Garcia, Raquel S. & Weisser, Daniel, 2006. "A wind–diesel system with hydrogen storage: Joint optimisation of design and dispatch," Renewable Energy, Elsevier, vol. 31(14), pages 2296-2320.
    7. Bakić, Vukman & Pezo, Milada & Stevanović, Žana & Živković, Marija & Grubor, Borislav, 2012. "Dynamical simulation of PV/Wind hybrid energy conversion system," Energy, Elsevier, vol. 45(1), pages 324-328.
    8. 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.
    9. Rajkumar, R.K. & Ramachandaramurthy, V.K. & Yong, B.L. & Chia, D.B., 2011. "Techno-economical optimization of hybrid pv/wind/battery system using Neuro-Fuzzy," Energy, Elsevier, vol. 36(8), pages 5148-5153.
    10. Niknam, Taher & Golestaneh, Faranak & Malekpour, Ahmadreza, 2012. "Probabilistic energy and operation management of a microgrid containing wind/photovoltaic/fuel cell generation and energy storage devices based on point estimate method and self-adaptive gravitational," Energy, Elsevier, vol. 43(1), pages 427-437.
    11. Caballero, F. & Sauma, E. & Yanine, F., 2013. "Business optimal design of a grid-connected hybrid PV (photovoltaic)-wind energy system without energy storage for an Easter Island's block," Energy, Elsevier, vol. 61(C), pages 248-261.
    12. Bekele, Getachew & Tadesse, Getnet, 2012. "Feasibility study of small Hydro/PV/Wind hybrid system for off-grid rural electrification in Ethiopia," Applied Energy, Elsevier, vol. 97(C), pages 5-15.
    13. Khan, M.J. & Iqbal, M.T., 2005. "Dynamic modeling and simulation of a small wind–fuel cell hybrid energy system," Renewable Energy, Elsevier, vol. 30(3), pages 421-439.
    14. 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.
    15. Fazelpour, Farivar & Soltani, Nima & Rosen, Marc A., 2014. "Feasibility of satisfying electrical energy needs with hybrid systems for a medium-size hotel on Kish Island, Iran," Energy, Elsevier, vol. 73(C), pages 856-865.
    16. Sinha, Sunanda & Chandel, S.S., 2015. "Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 755-769.
    17. Prasad, A. Rajendra & Natarajan, E., 2006. "Optimization of integrated photovoltaic–wind power generation systems with battery storage," Energy, Elsevier, vol. 31(12), pages 1943-1954.
    18. Stoppato, Anna & Cavazzini, Giovanna & Ardizzon, Guido & Rossetti, Antonio, 2014. "A PSO (particle swarm optimization)-based model for the optimal management of a small PV(Photovoltaic)-pump hydro energy storage in a rural dry area," Energy, Elsevier, vol. 76(C), pages 168-174.
    19. Nelson, D.B. & Nehrir, M.H. & Wang, C., 2006. "Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation systems," Renewable Energy, Elsevier, vol. 31(10), pages 1641-1656.
    20. Mellit, A. & Benghanem, M. & Kalogirou, S.A., 2007. "Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure," Renewable Energy, Elsevier, vol. 32(2), pages 285-313.
    21. Nandi, Sanjoy Kumar & Ghosh, Himangshu Ranjan, 2010. "Prospect of wind–PV-battery hybrid power system as an alternative to grid extension in Bangladesh," Energy, Elsevier, vol. 35(7), pages 3040-3047.
    22. Li, Chong & Ge, Xinfeng & Zheng, Yuan & Xu, Chang & Ren, Yan & Song, Chenguang & Yang, Chunxia, 2013. "Techno-economic feasibility study of autonomous hybrid wind/PV/battery power system for a household in Urumqi, China," Energy, Elsevier, vol. 55(C), pages 263-272.
    23. Tsuanyo, David & Azoumah, Yao & Aussel, Didier & Neveu, Pierre, 2015. "Modeling and optimization of batteryless hybrid PV (photovoltaic)/Diesel systems for off-grid applications," Energy, Elsevier, vol. 86(C), pages 152-163.
    24. Kaldellis, J.K. & Zafirakis, D. & Stavropoulou, V. & Kaldelli, El., 2012. "Optimum wind- and photovoltaic-based stand-alone systems on the basis of life cycle energy analysis," Energy Policy, Elsevier, vol. 50(C), pages 345-357.
    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. Papaefthymiou, Stefanos V. & Papathanassiou, Stavros A., 2014. "Optimum sizing of wind-pumped-storage hybrid power stations in island systems," Renewable Energy, Elsevier, vol. 64(C), pages 187-196.
    27. 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.
    28. Rohani, Golbarg & Nour, Mutasim, 2014. "Techno-economical analysis of stand-alone hybrid renewable power system for Ras Musherib in United Arab Emirates," Energy, Elsevier, vol. 64(C), pages 828-841.
    29. Wu, Wei & Christiana, Veni Indah & Chen, Shin-An & Hwang, Jenn-Jiang, 2015. "Design and techno-economic optimization of a stand-alone PV (photovoltaic)/FC (fuel cell)/battery hybrid power system connected to a wastewater-to-hydrogen processor," Energy, Elsevier, vol. 84(C), pages 462-472.
    30. Kaldellis, J.K. & Zafirakis, D. & Kondili, E., 2009. "Optimum autonomous stand-alone photovoltaic system design on the basis of energy pay-back analysis," Energy, Elsevier, vol. 34(9), pages 1187-1198.
    31. 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.
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