Sunlight to hydrogen conversion: Design optimization and energy management of concentrated photovoltaic (CPV-Hydrogen) system using micro genetic algorithm

Energy

Volumn 99, Issue , 2016, Pages 115-128

  Burhan, Muhammad ^a   Chua, Kian Jon Ernest ^a   Ng, Kim Choon ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

Author keywords

Concentrated photovoltaic; CPV; Electrolyser; Genetic algorithm; Hydrogen storage; Optimization

Indexed keywords

DIGITAL STORAGE; ENERGY MANAGEMENT; FUEL CELLS; GENETIC ALGORITHMS; HYDROGEN STORAGE; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION;

DESIGN OPTIMIZATION; DOWNSTREAM APPLICATIONS; ELECTROLYSERS; MICRO GENETIC ALGORITHM; OPTIMIZATION ALGORITHMS; PHOTOVOLTAIC; SOLAR IRRADIANCES; STAND-ALONE OPERATION;

ENERGY MANAGEMENT SYSTEMS;

CLOUD COVER; ELECTRICITY GENERATION; EQUIPMENT; GENETIC ALGORITHM; HYDROGEN; IRRADIANCE; OPERATIONS TECHNOLOGY; OPTIMIZATION; PHOTOVOLTAIC SYSTEM; SOLAR SYSTEM; VISIBLE SPECTRUM;

SINGAPORE [SOUTHEAST ASIA];

EID: 84962467031     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2016.01.048     Document Type: Article

References (76)

1. Trop P., Goricanec D. Comparisons between energy carriers' productions for exploiting renewable energy sources. Energy 2015.
2. Díaz J.J.V., Wilby M.R., González A.B.R. The wasted energy: A metric to set up appropriate targets in our path towards fully renewable energy systems. Energy 2015, 90:900-909.
3. 2 emission in the Middle East: a panel data analysis. Energy 2012, 44(1):564-569.
4. Shafiei E., Davidsdottir B., Leaver J., Stefansson H., Asgeirsson E.I. Comparative analysis of hydrogen, biofuels and electricity transitional pathways to sustainable transport in a renewable-based energy system. Energy 2015, 83:614-627.
5. IPCC Renewable Energy Sources and Climate Change Mitigation. Special Report of the Intergovernmental Panel on Climate Change 2012, https://www.ipcc.ch/pdf/special-reports/srren/SRREN_FD_SPM_final.pdf.
6. Sun Y., Wang Y., Zhu L., Yin B., Xiang H., Huang Q. Direct liquid-immersion cooling of concentrator silicon solar cells in a linear concentrating photovoltaic receiver. Energy 2014, 65:264-271.
7. Chantana J., Ueno S., Ota Y., Nishioka K., Minemoto T. Uniqueness verification of direct solar spectral index for estimating outdoor performance of concentrator photovoltaic systems. Renew Energy 2015, 75:762-766.
8. García-Domingo B., Piliougine M., Elizondo D., Aguilera J. CPV module electric characterisation by artificial neural networks. Renew Energy 2015, 78:173-181.
9. IEA-ETSAP and IRENA Technology Brief E11 Solar photovoltaics January 2013.
10. Lewis N.S. Towards cost-effective solar energy use. Science 2007, 315:798.
11. Fraunhofer,. Date Retrieved: 07 05 2015. http://www.ise.fraunhofer.de/en/press-and-media/press-releases/press-releases-2014/new-world-record-for-solar-cell-efficiency-at-46-percent.
12. Yastrebova N.V. High-efficiency multi-junction solar cells: current status and future potential. Centre for research in photonics April 2007, University of Ottawa.
13. Mendelsohn M., Lowder T., Canavan B. Utility-Scale concentrating solar power and photovoltaics projects: a technology and market overview April 2012, NREL/TP-6A20-51137.
14. Mathur S.S., Negi B.S., Kandpal T.C. Geometrical designs and performance analysis of a linear Fresnel reflector solar concentrator with a flat horizontal absorber. Int J Energy Res 1990, 14(1):107-124.
15. Siaw F.L., Chong K.K., Wong C.W. A comprehensive study of dense-array concentrator photovoltaic system using non-imaging planar concentrator. Renew Energy 2014, 62:542-555.
16. Agbossou K., Kolhe M., Hamelin J., Bose T.K. Performance of a stand-alone renewable energy system based on energy storage as hydrogen. Energy Convers IEEE Trans 2004, 19(3):633-640.
17. Barton J.P., Infield D.G. Energy storage and its use with intermittent renewable energy. Energy Convers IEEE Trans 2004, 19(2):441-448.
18. Deb K. Genetic algorithm in search and optimization: the technique and applications. Proceedings of international workshop on soft computing and intelligent systems, (ISI, Calcutta, India) 1998, 58-87.
19. Konak A., Coit D.W., Smith A.E. Multi-objective optimization using genetic algorithms: a tutorial. Reliab Eng Syst Saf 2006, 91(9):992-1007.
20. Bai Q. Analysis of particle swarm optimization algorithm. Comput Inf Sci 2010, 3(1):p180.
21. Aote S.S., Raghuwanshi M.M., Malik L.A. Brief review on particle swarm optimization: limitations & future directions. Int J Comput Sci Eng (IJCSE) 2013, 2(5):196-200.
22. Shukla M, Dhaliwal BS. Review of multi-objective optimization using genetic algorithm and particle swarm optimization. IP Multimedia Commun A Special Issue IJCA. pp 72-74.
23. Rajendra R., Pratihar D.K. Particle swarm optimization algorithm vs. Genetic algorithm to solve multi-objective optimization problem in gait planning of biped robot. Proceedings of the international conference on information systems design and intelligent applications 2012 (INDIA 2012) held in Visakhapatnam, India January 2012, 563-570. [Springer Berlin Heidelberg].
24. Boeringer D.W., Werner D.H. Particle swarm optimization versus genetic algorithms for phased array synthesis. Antennas Propag IEEE Trans 2004, 52(3):771-779.
25. Rajendra R., Pratihar D.K. Particle swarm optimization algorithm vs genetic algorithm to develop integrated scheme for obtaining optimal mechanical structure and adaptive controller of a robot. Intelligent Control Autom 2011, 2(04):430.
26. Hassan R., Cohanim B., De Weck O., Venter G. A comparison of particle swarm optimization and the genetic algorithm. Proceedings of the 1st AIAA multidisciplinary design optimization specialist conference 2005, 1-13.
27. Panda S., Padhy N.P. Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design. Appl soft Comput 2008, 8(4):1418-1427.
28. Jones K.O. Comparison of genetic algorithm and particle swarm optimization. Proc. int. conf. computer systems and technologies 2005, 1-6.
29. Yu X., Gen M. Introduction to evolutionary algorithms 2010, Springer Science & Business Media.
30. Senecal P.K. Numerical optimization using the GEN4 micro-genetic algorithm code. Univ Wisconsin Madison 2000.
31. Abu-Lebdeh G., Benekohal R.F. Convergence variability and population sizing in micro-genetic algorithms. Comput Aided Civ Infrastruct Eng 1999, 14(5):321-334.
32. Krishnakumar K. Micro-genetic algorithms for stationary and non-stationary function optimization. 1989 advances in intelligent robotics systems conference, international society for optics and photonics 1990, 289-296.
33. Srinivas N., Deb K. Muiltiobjective optimization using nondominated sorting in genetic algorithms. Evol Comput 1994, 2(3):221-248.
34. Deb K., Pratap A., Agarwal S., Meyarivan T.A.M.T. A fast and elitist multiobjective genetic algorithm: NSGA-II. Evolut Comput IEEE Trans 2002, 6(2):182-197.
35. Choi S. Speedups for efficient genetic algorithms: design optimization of low-boom supersonic jet using parallel GA and micro-GA with external memory. Genet Algorithms Genet Program A T Stanf 2003, 21-30.
36. Coello C.C., Lamont G.B., Van Veldhuizen D.A. Evolutionary algorithms for solving multi-objective problems 2007, Springer Science & Business Media.
37. Coello C.C., Pulido G.T. Multiobjective structural optimization using a microgenetic algorithm. Struct Multidiscip Optim 2005, 30(5):388-403.
38. Darras C., Sailler S., Thibault C., Muselli M., Poggi P., Hoguet J.C., et al. Sizing of photovoltaic system coupled with hydrogen/oxygen storage based on the ORIENTE model. Int J Hydrogen Energy 2010, 35(8):3322-3332.
39. Lund P.D. Optimization of stand-alone photovoltaic systems with hydrogen storage for total energy self-sufficiency. Int J Hydrogen Energy 1991, 16(11):735-740.
40. Zhou K., Ferreira J.A., De Haan S.W.H. Optimal energy management strategy and system sizing method for stand-alone photovoltaic-hydrogen systems. Int J Hydrogen Energy 2008, 33(2):477-489.
41. Avril S., Arnaud G., Florentin A., Vinard M. Multi-objective optimization of batteries and hydrogen storage technologies for remote photovoltaic systems. Energy 2010, 35(12):5300-5308.
42. Dufo-López R., Bernal-Agustín J.L., Contreras J. Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage. Renew Energy 2007, 32(7):1102-1126.
43. Nelson D.B., Nehrir M.H., Wang C. Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation systems. Renew Energy 2006, 31(10):1641-1656.
44. Kolhe M., Agbossou K., Hamelin J., Bose T.K. Analytical model for predicting the performance of photovoltaic array coupled with a wind turbine in a stand-alone renewable energy system based on hydrogen. Renew Energy 2003, 28(5):727-742.
45. Karakoulidis K., Mavridis K., Bandekas D.V., Adoniadis P., Potolias C., Vordos N. Techno-economic analysis of a stand-alone hybrid photovoltaic-diesel-battery-fuel cell power system. Renew Energy 2011, 36(8):2238-2244.
46. Rehman S., Alam M.M., Meyer J.P., Al-Hadhrami L.M. Feasibility study of a wind-pv-diesel hybrid power system for a village. Renew Energy 2012, 38(1):258-268.
47. Guinot B., Champel B., Montignac F., Lemaire E., Vannucci D., Sailler S., et al. Techno-economic study of a PV-hydrogen-battery hybrid system for off-grid power supply: impact of performances' ageing on optimal system sizing and competitiveness. Int J Hydrogen Energy 2015, 40:623-632.
48. Rehman S., Al-Hadhrami L.M. Study of a solar PV-diesel-battery hybrid power system for a remotely located population near Rafha, Saudi Arabia. Energy 2010, 35(12):4986-4995.
49. Pérez-Higueras P., Munoz E., Almonacid G., Vidal P.G. High concentrator PhotoVoltaics efficiencies: present status and forecast. Renew Sustain Energy Rev 2011, 15(4):1810-1815.
50. HOMER (Hybrid Optimization of Multiple Energy Resources). Available from:. http://www.homerenergy.com/software.html.
51. iHOGA (Improved Hybrid Optimization by Genetic Algorithms). Available from:. http://personal.unizar.es/rdufo/index.php?option=com_content&view=article&id=2&Itemid=104&lang=en.
52. Bernal-Agustin J.L., Dufo-Lopez R. Simulation and optimization of stand-alone hybrid renewable energy systems. Renew Sustain Energy Rev 2009, 13:2111-2118.
53. National Environment Agency (NEA) Singapore,. http://www.nea.gov.sg.
54. Energy Market Authority (EMA) Singapore,. http://www.ema.gov.sg.
55. Nishioka K., Takamoto T., Agui T., Kaneiwa M., Uraoka Y., Fuyuki T. Annual output extimation of concentrator photovoltaic systems using high-efficiency InGaP/InGaAs/Ge triple-junction solar cells based on experimental solar cell's characteristics and field-test meteorological data. Sol Energy Mater Sol Cells 2006, 90:57-67.
56. Cotal H., Sherif R. Temperature dependence of the IV parameters from triple Junction GaInP/InGaAs/Ge concentrator solar cells. IEEE 4th world conference on photovoltaic energy conversion 2006, 1:845-848.
57. Calderón M., Calderón A.J., Ramiro A., González J.G.I., González I. Analysis of the performance of the photovoltaic array through the exergy efficiency. Int Conf Renew Energy Power Qual 2011, 13-15.
58. Horne S., McDonald M., Hartsoch N., Desy K. Reflective optics CPV panels enabling large scale, reliable generation of solar energy cost competitive with fossil fuels 2009.
59. ArzonSolar. Date retrieved: 16-11-2015. http://www.arzonsolar.com/wp-content/uploads/2015/02/uModule-Datasheet.pdf.
60. Oh S.J., Lee Y.J., Chen K., Kim Y.M., Lim S.H., Chun W. Development of an embedded solar tracker for the enhancement of solar energy utilization. Int J Energy Res 2012, 36(2):249-258.
61. Oh S.J., Burhan M., Ng K.C., Kim Y., Chun W. Development and performance analysis of a two-axis solar tracker for concentrated photovoltaics. Int J Energy Res 2015, 39(7):965-976.
62. 3M, Renewable Energy Division. Factors Influencing the Optical Efficiency of Fresnel Lens Concentrators. Date retrieved: 16-11-2015. http://www.lapptannehill.com/wp-content/uploads/2014/02/3M-Factors.pdf.
63. Pan C.T., Juan Y.L. A novel sensorless MPPT controller for a high-efficiency microscale wind power generation system. Energy Convers IEEE Trans 2010, 25(1):207-216.
64. Chiu H.J., Lin L.W. A high-efficiency soft-switched AC/DC converter with current-doubler synchronous rectification. Ind Electron IEEE Trans 2005, 52(3):709-718.
65. Ki S.K., Lu D.D.C. Implementation of an efficient transformerless single-stage single-switch AC/DC converter. Ind Electron IEEE Trans 2010, 57(12):4095-4105.
66. Wang K., Lin C.Y., Zhu L., Qu D., Lee F.C., Lai J.S. Bi-directional DC to DC converters for fuel cell systems. Power electronics in transportation 1998, 47-51. IEEE.
67. Nymand M., Andersen M.A. High-efficiency isolated boost DC-DC converter for high-power low-voltage fuel-cell applications. Ind Electron IEEE Trans 2010, 57(2):505-514.
68. Helioslite. Date retrieved: 16-11-2015. http://helioslite.com/site/wp-content/uploads/2015/06/H%C3%A9liosLite-datasheet-35m2-2014-12.pdf.
69. Ulleberg Ø. Stand-alone power systems for the future: optimal design, operation & control of solar-hydrogen energy systems 1998, [Ph.D. Thesis], Department of Thermal Energy and Hydropower, Norwegian University of Science and Technology, Trondheim, Norway. http://s3.amazonaws.com/zanran_storage/www.hydrogems.no/ContentPages/51532160.pdf.
70. Li C.H., Zhu X.J., Cao G.Y., Sui S., Hu M.R. Dynamic modeling and sizing optimization of stand-alone photovoltaic power systems using hybrid energy storage technology. Renew Energy 2009, 34(3):815-826.
71. REFPROP Reference Fluid Thermodynamic and Transport Properties, National Institute of Standards and Technology (NIST) Standard Reference Database 23, Version 8.0,. http://www.nist.gov.
72. Khan M.J., Iqbal M.T. Pre-feasibility study of stand-alone hybrid energy systems for applications in Newfoundland. Renew Energy 2005, 30(6):835-854.
73. Simbeck D., Chang E. Hydrogen supply: cost estimate for hydrogen pathways - scoping analysis 2002, SFA Pacific, Inc. Mountain View, California, [NREL].
74. PV Magazine, Concentrated PV solar set to boom. Date Retrieved: 19-08-2015. http://www.pv-magazine.com/news/details/beitrag/concentrated-pv-solar-set-to-boom_100013699/#axzz3jDrxpxEr.
75. Ghosh P.C., Emonts B., Janßen H., Mergel J., Stolten D. Ten years of operational experience with a hydrogen-based renewable energy supply system. Sol Energy 2003, 75(6):469-478.
76. Granovskii M., Dincer I., Rosen M.A. Economic and environmental comparison of conventional, hybrid, electric and hydrogen fuel cell vehicles. J Power Sources 2006, 159(2):1186-1193.