On the exergetic optimization of continuous photobiological hydrogen production using hybrid ANFIS-NSGA-II (adaptive neuro-fuzzy inference system-non-dominated sorting genetic algorithm-II)

Energy

Volumn 96, Issue , 2016, Pages 507-520

  Aghbashlo, Mortaza ^a   Hosseinpour, Soleiman ^a   Tabatabaei, Meisam ^b,c   Younesi, Habibollah ^d   Najafpour, Ghasem ^e  

^a UNIVERSITY OF TEHRAN   (Iran)

^b AGRICULTURAL BIOTECHNOLOGY RESEARCH INSTITUTE OF IRAN ABRII   (Iran)

^c BIOFUEL RESEARCH TEAM BRTEAM   (Iran)

^d TARBIAT MODARES UNIVERSITY   (Iran)

^e BABOL NOSHIRVANI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

ANFIS (Adaptive neuro fuzzy inference system); Continuous photobiological hydrogen production; Exergetic performance assessment; Multi objective optimization; NSGA (non dominated sorting genetic algorithm)

Indexed keywords

ALGORITHMS; CHEMICAL SHIFT; COMPOSITE STRUCTURES; EFFICIENCY; EXERGY; FUZZY SYSTEMS; GENETIC ALGORITHMS; HYDROGEN PRODUCTION; INFERENCE ENGINES; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION; PARETO PRINCIPLE; PHOTOBIOLOGICAL HYDROGEN PRODUCTION; PHOTOBIOREACTORS; SYNTHESIS GAS; TRACKING (POSITION); WATER GAS SHIFT;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS (ADAPTIVE NEURO FUZZY INFERENCE SYSTEM); CONTINUOUS PHOTOBIOREACTOR; EXERGETIC PERFORMANCE; NON- DOMINATED SORTING GENETIC ALGORITHMS; NON-DOMINATED SORTING GENETIC ALGORITHM - II; OPTIMAL OPERATING CONDITIONS; WATER GAS SHIFT (WGS) REACTION;

FUZZY INFERENCE;

BACTERIUM; ENERGY EFFICIENCY; EXERGY; FUZZY MATHEMATICS; GAS PRODUCTION; GENETIC ALGORITHM; HYDROGEN; OPTIMIZATION; PERFORMANCE ASSESSMENT;

RHODOSPIRILLUM RUBRUM;

EID: 84958683187     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2015.12.084     Document Type: Article

References (34)

1. Akia M., Yazdani F., Motaee E., Han D., Arandiyan H. A review on conversion of biomass to biofuel by nanocatalysts. Biofuel Res J 2014, 1(1):16-25.
2. Odetoye T.E., Onifade K.R., AbuBakar M.S., Titiloye J.O. Pyrolysis of Parinari polyandra Benth fruit shell for bio-oil production. Biofuel Res J 2014, 1(3):85-90.
3. Sundaramurthy J., Li N., Kumar P.S., Ramakrishna S. Perspective of electrospun nanofibers in energy and environment. Biofuel Res J 2014, 1(2):44-54.
4. Voloshin R.A., Kreslavski V.D., Zharmukhamedov S.K., Bedbenov V.S., Ramakrishna S., Allakhverdiev S.I. Photoelectrochemical cells based on photosynthetic systems: a review. Biofuel Res J 2015, 2(2):227-235.
5. Edwards P.P., Kuznetsov V.L., David W.I., Brandon N.P. Hydrogen and fuel cells: towards a sustainable energy future. Energy Policy 2008, 36(12):4356-4362.
6. Kumar G., Bakonyi P., Sivagurunathan P., Nemestóthy N., Bélafi-Bakó K., Lin C.Y. Improved microbial conversion of de-oiled Jatropha waste into biohydrogen via inoculum pretreatment: process optimization by experimental design approach. Biofuel Res J 2015, 2(1):209-2014.
7. Sekoai P.T., Daramola M.O. Biohydrogen production as a potential energy fuel in South Africa. Biofuel Res J 2015, 2(2):223-226.
8. Ranjbaran M., Zare D. Simulation of energetic-and exergetic performance of microwave-assisted fluidized bed drying of soybeans. Energy 2013, 59:484-493.
9. Calise F., d'Accadia M.D., Palombo A., Vanoli L. Simulation and exergy analysis of a hybrid solid oxide fuel cell (SOFC)-gas turbine system. Energy 2006, 31(15):3278-3299.
10. Tsatsaronis G., Kapanke K., Marigorta A.M.B. Exergoeconomic estimates for a novel zero-emission process generating hydrogen and electric power. Energy 2008, 33(2):321-330.
11. Balta M.T., Dincer I., Hepbasli A. Energy and exergy analyses of a new four-step copper-chlorine cycle for geothermal-based hydrogen production. Energy 2010, 35(8):3263-3272.
12. Bozoglan E., Midilli A., Hepbasli A. Sustainable assessment of solar hydrogen production techniques. Energy 2012, 46(1):85-93.
13. 2 capture. Energy 2012, 45(1):142-150.
14. Bhattacharya A., Das A., Datta A. Exergy based performance analysis of hydrogen production from rice straw using oxygen blown gasification. Energy 2014, 69:525-533.
15. Dadak A., Aghbashlo M., Tabatabaei M., Younesi H., Najafpour G. Exergy analysis as a tool for decision making on substrate concentration and light intensity in photobiological hydrogen production. Energy Technol 2015, 10.1002/ente.201500294.
16. Ismail K.S.K., Najafpour G., Younesi H., Mohamed A.R., Kamaruddin A.H. Biological hydrogen production from CO: bioreactor performance. Biochem Eng J 2008, 39(3):468-477.
17. Aghbashlo M., Hosseinpour S., Mujumdar A.S. Application of artificial neural networks (ANNs) in drying technology-comprehensive review. Dry Technol 2015, 33(12):1397-1462.
18. Petković D., Ćojbašić Ž., Nikolić V., Shamshirband S., Kiah M.L.M., Anuar N.B., Wahab A.W.A. Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission. Energy 2014, 64:868-874.
19. Shamshirband S., Petković D., Anuar N.B., Gani A. Adaptive neuro-fuzzy generalization of wind turbine wake added turbulence models. Renew Sust Energy Rev 2014, 36:270-276.
20. Panwar N.L., Kaushik S.C., Kothari S. A review on energy and exergy analysis of solar dying systems. Renew Sust Energy Rev 2012, 16(5):2812-2819.
21. Song G., Chen L., Xiao J., Shen L. Exergy evaluation of biomass steam gasification via interconnected fluidized beds. Int J Energy Res 2013, 37(14):1743-1751.
22. Song G., Xiao J., Zhao H., Shen L. A unified correlation for estimating specific chemical exergy of solid and liquid fuels. Energy 2012, 40:164-173.
23. Borgnakke C., Sonntag R.E. Fundamentals of thermodynamics 2012, Wiley, New York. 8th ed.
24. Jørgensen S.E., Ladegaard N., Debeljak M., Marques J.C. Calculations of exergy for organisms. Ecol Model 2005, 185:165-175.
25. Hosseini S.S., Aghbashlo M., Tabatabaei M., Younesi H., Najafpour G. Exergy analysis of biohydrogen production from various carbon sources via anaerobic photosynthetic bacteria (Rhodospirillum rubrum). Energy 2015, 93:730-739.
26. Mahlia T.M.I., Taufiq B.N., Ong K.P., Saidur R. Exergy analysis for day lighting, electric lighting and space cooling systems for a room space in a tropical climate. Energy Build 2011, 43(7):1676-1684.
27. Orhan M.F., Dincer I., Rosen M.A. Energy and exergy assessments of the hydrogen production step of a copper-chlorine thermochemical water splitting cycle driven by nuclear-based heat. Int J Hydrogen Energy 2008, 33(22):6456-6466.
28. Modarresi A., Wukovits W., Friedl A. Exergy analysis of biological hydrogen production. Comput Aided Chem Eng 2008, 25:1137-1142.
29. Abuadala A., Dincer I. Investigation of a multi-generation system using a hybrid steam biomass gasification for hydrogen, power and heat. Int J Hydrogen Energy 2010, 35(24):13146-13157.
30. Calderon M., Calderon A.J., Ramiro A., Gonzalez J.F., Gonzalez I. Evaluation of a hybrid photovoltaic-wind system with hydrogen storage performance using exergy analysis. Int J Hydrogen Energy 2011, 36(10):5751-5762.
31. Hacatoglu K., Dincer I., Rosen M.A. Exergy analysis of a hybrid solar hydrogen system with activated carbon storage. Int J Hydrogen Energy 2011, 36(5):3273-3282.
32. Ratlamwala T.A.H., Gadalla M.A., Dincer I. Performance assessment of an integrated PV/T and triple effect cooling system for hydrogen and cooling production. Int J Hydrogen Energy 2011, 36(17):11282-11291.
33. Hosseini M., Dincer I., Rosen M.A. Steam and air fed biomass gasification: comparisons based on energy and exergy. Int J Hydrogen Energy 2012, 37(21):16446-16452.
34. Caliskan H., Dincer I., Hepbasli A. Energy, exergy and sustainability analyses of hybrid renewable energy based hydrogen and electricity production and storage systems: modeling and case study. Appl Therm Eng 2013, 61(2):784-798.