Assessment and multi-objective optimization of an off-grid solar based energy system for a Conex

Authors

School of Mechanical Engineering, College of Engineering, University of Tehran, P.O. Box 11155-4563, Tehran, Iran

Abstract

In this study, an off-grid PV system is optimized to supply a Conex electricity demand in the top ten earthquake-prone cities using mixed-integer linear programming techniques. The stand-alone photovoltaic system is designed by a photovoltaic array, a cooling/heating system, battery banks, an inverter, and a charge controller. For determining the optimum size and specifications of the system components such as PV panel, HVAC coefficient of performance, by considering two objectives of the study, a mixed-integer linear programming method is used. These conflicting objectives are the probability of lack of power and total cost of the system. The weighted factor method is utilized, and final optimized systems are achieved using MATLAB 2019b. Using the weighted factor method, several optimum solutions, in which the importance of objectives are different from each other, are obtained for each case concerning objectives. The suggested model is optimized for ten earthquake-prone cities globally, while it can be utilized for any location. The Pareto frontiers are presented to show the trade-offs between two objective functions. The average cost of off-grid PV system supplied electrical power is from about 1000$ for lima (subtropical desert climate) to 4000$ for Tokyo and Osaka (humid subtropical). Analysis of obtained results demonstrates that the system is suitable for all of the considered cities. It can supply the load demand of an off-grid Conex with a loss of power supply probability as low as 1%.

Keywords


[1] G. Merei, C. Berger, D.U. Sauer, Optimization of an off-grid hybrid PV–Wind–Diesel system with different battery technologies using genetic algorithm, Solar Energy 97 (2013) 460-473.
[2] K. Kaygusuz, Energy for sustainable development: A case of developing countries, Renewable and Sustainable Energy Reviews 16(2) (2012) 1116-1126.
[3] T. Khatib, A. Mohamed, K. Sopian, A review of photovoltaic systems size optimization techniques, Renewable and Sustainable Energy Reviews 22 (2013) 454-465.
[4] M. Fadaee, M. Radzi, Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review, Renewable and sustainable energy reviews 16(5) (2012) 3364-3369.
[5] A. Ashouri, S.S. Fux, M.J. Benz, L. Guzzella, Optimal design and operation of building services using mixed-integer linear programming techniques, Energy 59 (2013) 365-376.
[6] D. Buoro, P. Pinamonti, M. Reini, Optimization of a Distributed Cogeneration System with solar district heating, Applied Energy 124 (2014) 298-308.
[7] C.O. Okoye, O. Taylan, D.K. Baker, Solar energy potentials in strategically located cities in Nigeria: Review, resource assessment and PV system design, Renewable and Sustainable Energy Reviews 55 (2016) 550-566.
[8] H.A. Kazem, T. Khatib, K. Sopian, Sizing of a standalone photovoltaic/battery system at minimum cost for remote housing electrification in Sohar, Oman, Energy and Buildings 61 (2013) 108-115.
[9] W.-S. Lee, Y.-T. Chen, Y. Kao, Optimal chiller loading by differential evolution algorithm for reducing energy consumption, Energy and Buildings 43(2-3) (2011) 599-604.
[10] Z.-f. Tan, L.-w. Ju, H.-h. Li, J.-y. Li, H.-j. Zhang, A two-stage scheduling optimization model and solution algorithm for wind power and energy storage system considering uncertainty and demand response, International Journal of Electrical Power & Energy Systems 63 (2014) 1057-1069.
[11] A.F.M. Nor, S. Salimin, M.N. Abdullah, M.N. Ismail, Application of artificial neural network in sizing a stand-alone photovoltaic system: a review, International Journal of Power Electronics and Drive Systems 11(1) (2020) 342.
[12] V. Modrák, R.S. Pandian, Operations Management Research and Cellular Manufacturing Systems: Innovative Methods and Approaches, Business Science Reference2012.
[13] N.D. Nordin, H.A. Rahman, A novel optimization method for designing stand alone photovoltaic system, Renewable Energy 89 (2016) 706-715.
[14] W. Shen, Optimally sizing of solar array and battery in a standalone photovoltaic system in Malaysia, Renewable energy 34(1) (2009) 348-352.
[15] T. Khatib, A. Mohamed, K. Sopian, M. Mahmoud, A new approach for optimal sizing of standalone photovoltaic systems, International Journal of Photoenergy 2012 (2012).
[16] R. Ayop, N.M. Isa, C.W. Tan, Components sizing of photovoltaic stand-alone system based on loss of power supply probability, Renewable and Sustainable Energy Reviews 81 (2018) 2731-2743.
[17] M. Andam, J. El Alami, Y. Louartassi, Optimization of the Energy Lack and Surplus in a Stand-Alone Photovoltaic System, 2019 7th International Renewable and Sustainable Energy Conference (IRSEC), IEEE, 2019, pp. 1-6.
[18] L.A. Nguimdo, C. Kum, Optimization and Sizing of a Stand-Alone Photovoltaic System and Assessment of Random Load Fluctuation on Power Supply, Energy and Power Engineering 12(1) (2019) 28-43.
[19] A. Khalil, A. Asheibi, Optimal Sizing of Stand-alone PV System Using Grey Wolf optimization, 2019 International Conference on Electrical Engineering Research & Practice (ICEERP), IEEE, 2019, pp. 1-6.
[20] S. Semaoui, A.H. Arab, S. Bacha, B. Azoui, Optimal sizing of a stand-alone photovoltaic system with energy management in isolated areas, Energy Procedia 36 (2013) 358-368.
[21] A.B. Forough, R. Roshandel, Multi objective receding horizon optimization for optimal scheduling of hybrid renewable energy system, Energy and Buildings 150 (2017) 583-597.
[22] L. Hu, Y. Liu, D. Wang, J. Liu, Battery Capacity Reduction for Stand-Alone PV Air Conditioner by Using Curtailed Electricity to Store Chilled Water as a Backup, The International Symposium on Heating, Ventilation and Air Conditioning, Springer, 2019, pp. 609-617.
[23] M.S. Saleem, N. Abas, A.R. Kalair, S. Rauf, A. Haider, M.S. Tahir, M. Sagir, Design and optimization of hybrid solar-hydrogen generation system using TRNSYS, International Journal of Hydrogen Energy  (2019).
[24] I. Dincer, M.A. Rosen, P. Ahmadi, Optimization of Energy Systems, John Wiley & Sons2017.
[25] C. Sexton, 10 cities most likely to be struck by an earthquake, 2017. https://www.earth.com/.
[28] M.C. Peel, B.L. Finlayson, T.A. McMahon, Updated world map of the Köppen-Geiger climate classification, Hydrology and earth system sciences 11(5) (2007) 1633-1644.
[29] S. Klein, W. Beckman, Loss-of-load probabilities for stand-alone photovoltaic systems, Solar Energy 39(6) (1987) 499-512.
[30] M.S.W.i.d.A.i. https://meteonorm.com/en/.
[31] TRNSYS: Transient System Simulation Tool. Available: http://www.trnsys.com/, 2016.
[32] R. Carapellucci, L. Giordano, Modeling and optimization of an energy generation island based on renewable technologies and hydrogen storage systems, International journal of hydrogen energy 37(3) (2012) 2081-2093.
[33] B. Huang, P. Hsu, M. Wu, P. Ho, System dynamic model and charging control of lead-acid battery for stand-alone solar PV system, Solar Energy 84(5) (2010) 822-830.
[34] S. Duryea, S. Islam, W. Lawrance, A battery management system for stand alone photovoltaic energy systems, Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No. 99CH36370), IEEE, 1999, pp. 2649-2654.
[35] A. Cherif, M. Jraidi, A. Dhouib, A battery ageing model used in stand alone PV systems, Journal of Power sources 112(1) (2002) 49-53.
[36] Y. Shin, W.Y. Koo, T.H. Kim, S. Jung, H. Kim, Capacity design and operation planning of a hybrid PV–wind–battery–diesel power generation system in the case of Deokjeok Island, Applied Thermal Engineering 89 (2015) 514-525.
[37] J. Li, W. Wei, J. Xiang, A simple sizing algorithm for stand-alone PV/wind/battery hybrid microgrids, Energies 5(12) (2012) 5307-5323.
[38] M. Hankins, Stand-alone solar electric systems: the earthscan expert handbook for planning, design and installation, Routledge2010.
[39] A. Roy, M.A. Kabir, Relative life cycle economic analysis of stand-alone solar PV and fossil fuel powered systems in Bangladesh with regard to load demand and market controlling factors, Renewable and Sustainable Energy Reviews 16(7) (2012) 4629-4637.
[40] C.O. Okoye, O. Solyalı, Optimal sizing of stand-alone photovoltaic systems in residential buildings, Energy 126 (2017) 573-584.
[41] A. Behzadi Forough, R. Roshandel, Multi objective optimization of solid oxide fuel cell stacks considering parameter effects: Fuel utilization and hydrogen cost, Journal of Renewable and Sustainable Energy 5(5) (2013) 053124.
[42] R. Roshandel, A. Behzadi Forough, Two strategies for multi-objective optimisation of solid oxide fuel cell stacks, International Journal of Sustainable Energy 33(4) (2014) 854-868.