Multi-objective exergoeconomic and exergoenvironmental optimization of continuous synthesis of solketal through glycerol ketalization with acetone in the presence of ethanol as co-solvent

Renewable Energy

Volumn 130, Issue , 2019, Pages 735-748

  Aghbashlo, Mortaza ^a   Hosseinpour, Soleiman ^a   Tabatabaei, Meisam ^b,c   Rastegari, Hajar ^d   Ghaziaskar, Hassan S ^d  

^a UNIVERSITY OF TEHRAN   (Iran)

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

^c BIOFUEL RESEARCH TEAM BRTEAM   (Iran)

^d ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Adaptive neuro fuzzy inference system; Continuous glycerol ketalization; Cost and environmental per unit of exergy for the product; Exergoeconomic and exergoenvironmental analyses; Non dominated sorting genetic algorithm II; Solketal synthesis

Indexed keywords

CATALYSTS; ENVIRONMENTAL IMPACT; ETHANOL; EXERGY; FUZZY INFERENCE; FUZZY SYSTEMS; GENETIC ALGORITHMS; GLYCEROL; MOLAR RATIO; MULTIOBJECTIVE OPTIMIZATION; ORGANIC SOLVENTS;

ADAPTIVE NEURO-FUZZY INFERENCE; ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; CONTINUOUS GLYCEROL KETALIZATION; COST AND ENVIRONMENTAL PER UNIT OF EXERGY FOR THE PRODUCT; EXERGOECONOMIC AND EXERGOENVIRONMENTAL ANALYZE; EXERGOECONOMICS; KETALIZATION; NEURO-FUZZY INFERENCE SYSTEMS; NON DOMINATED SORTING GENETIC ALGORITHM II (NSGA II); PER UNIT; SOLKETAL SYNTHESIS;

ACETONE;

ACETONE; CATALYST; ENVIRONMENTAL ECONOMICS; ETHANOL; EXPERIMENTAL STUDY; FUZZY MATHEMATICS; GENETIC ALGORITHM; OPTIMIZATION; PARAMETERIZATION; PERFORMANCE ASSESSMENT; SOLVENT;

EID: 85049922837     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2018.06.103     Document Type: Article

References (33)

1. Aghbashlo, M., Hosseinpour, S., Tabatabaei, M., Dadak, A., Fuzzy modeling and optimization of the synthesis of biodiesel from waste cooking oil (WCO) by a low power, high frequency piezo-ultrasonic reactor. Energy 132 (2017), 65–78.
2. Aghbashlo, M., Tabatabaei, M., Hosseinpour, S., On the exergoeconomic and exergoenvironmental evaluation and optimization of biodiesel synthesis from waste cooking oil (WCO) using a low power, high frequency ultrasonic reactor. Energy Convers. Manag. 164 (2018), 385–398.
3. Shirani, M., Ghaziaskar, H.S., Xu, C.C., Optimization of glycerol ketalization to produce solketal as biodiesel additive in a continuous reactor with subcritical acetone using Purolite® PD206 as catalyst. Fuel Process. Technol. 124 (2014), 206–211.
4. Konwar, L.J., Mäki-Arvela, P., Begum, P., Kumar, N., Thakur, A.J., Mikkola, J.-P., Deka, R.C., Deka, D., Shape selectivity and acidity effects in glycerol acetylation with acetic anhydride: selective synthesis of triacetin over Y-zeolite and sulfonated mesoporous carbons. J. Catal. 329 (2015), 237–247.
5. Frusteri, F., Spadaro, L., Beatrice, C., Guido, C., Oxygenated additives production for diesel engine emission improvement. Chem. Eng. J. 134 (2007), 239–245.
6. Deutsch, J., Martin, A., Lieske, H., Investigations on heterogeneously catalysed condensations of glycerol to cyclic acetals. J. Catal. 245 (2007), 428–435.
7. Vicente, G., Melero, J.A., Morales, G., Paniagua, M., Martín, E., Acetalisation of bio-glycerol with acetone to produce solketal over sulfonic mesostructured silicas. Green Chem. 12 (2010), 899–907.
8. Ferreira, P., Fonseca, I.M., Ramos, A.M., Vital, J., Castanheiro, J.E., Valorisation of glycerol by condensation with acetone over silica-included heteropolyacids. Appl. Catal. B Environ. 98 (2010), 94–99.
9. Maksimov, A.L., Nekhaev, A.I., Ramazanov, D.N., Arinicheva, Y.A., Dzyubenko, A.A., Khadzhiev, S.N., Preparation of high-octane oxygenate fuel components from plant-derived polyols. Petrol. Chem. 51 (2011), 61–69.
10. Serafim, H., Fonseca, I.M., Ramos, A.M., Vital, J., Castanheiro, J.E., Valorization of glycerol into fuel additives over zeolites as catalysts. Chem. Eng. J. 178 (2011), 291–296.
11. Reddy, P.S., Sudarsanam, P., Mallesham, B., Raju, G., Reddy, B.M., Acetalisation of glycerol with acetone over zirconia and promoted zirconia catalysts under mild reaction conditions. J. Ind. Eng. Chem. 17 (2011), 377–381.
12. Mallesham, B., Sudarsanam, P., Raju, G., Reddy, B.M., Design of highly efficient Mo and W-promoted SnO 2 solid acids for heterogeneous catalysis: acetalization of bio-glycerol. Green Chem. 15 (2013), 478–489.
13. Nanda, M.R., Yuan, Z., Qin, W., Ghaziaskar, H.S., Poirier, M.-A., Xu, C.C., A new continuous-flow process for catalytic conversion of glycerol to oxygenated fuel additive: catalyst screening. Appl. Energy 123 (2014), 75–81.
14. Mandegari, M.A., Farzad, S., Pahlavanzadeh, H., Exergy performance analysis and optimization of a desiccant wheel system. J. Therm. Sci. Eng. Appl., 7, 2015, 31013.
15. Midilli, A., Kucuk, H., Akbulut, U., Exergetic performance comparison of air and hydrogen gas flowing through the annular curved duct. Int. J. Hydrogen Energy 43 (2017), 10859–10868.
16. Aghbashlo, M., Rosen, M.A., Exergoeconoenvironmental analysis as a new concept for developing thermodynamically, economically, and environmentally sound energy conversion systems. J. Clean. Prod. 187 (2018), 190–204.
17. Khila, Z., Hajjaji, N., Pons, M.-N., Renaudin, V., Houas, A., A comparative study on energetic and exergetic assessment of hydrogen production from bioethanol via steam reforming, partial oxidation and auto-thermal reforming processes. Fuel Process. Technol. 112 (2013), 19–27.
18. Hajjaji, N., Pons, M.-N., Houas, A., Renaudin, V., Exergy analysis: an efficient tool for understanding and improving hydrogen production via the steam methane reforming process. Energy Pol. 42 (2012), 392–399.
19. Aghbashlo, M., Tabatabaei, M., Hosseini, S.S., Dashti, B.B., Mojarab Soufiyan, M., Performance assessment of a wind power plant using standard exergy and extended exergy accounting (EEA) approaches. J. Clean. Prod. 171 (2018), 127–136.
20. Aghbashlo, M., Tabatabaei, M., Hosseinpour, S., Khounani, Z., Hosseini, S.S., Exergy-based sustainability analysis of a low power, high frequency piezo-based ultrasound reactor for rapid biodiesel production. Energy Convers. Manag. 148 (2017), 759–769.
21. Dogbe, E.S., Mandegari, M.A., Görgens, J.F., Exergetic diagnosis and performance analysis of a typical sugar mill based on Aspen Plus® simulation of the process. Energy, 2017, 10.1016/j.energy.2017.12.134.
22. Barati, M.R., Aghbashlo, M., Ghanavati, H., Tabatabaei, M., Sharifi, M., Javadirad, G., Dadak, A., Mojarab Soufiyan, M., Comprehensive exergy analysis of a gas engine-equipped anaerobic digestion plant producing electricity and biofertilizer from organic fraction of municipal solid waste. Energy Convers. Manag. 151 (2017), 753–763.
23. Aghbashlo, M., Rosen, M.A., Consolidating exergoeconomic and exergoenvironmental analyses using the emergy concept for better understanding energy conversion systems. J. Clean. Prod. 172 (2018), 696–708.
24. Akbulut, U., Utlu, Z., Kincay, O., Exergy, exergoenvironmental and exergoeconomic evaluation of a heat pump-integrated wall heating system. Energy 107 (2016), 502–522.
25. Akbulut, U., Utlu, Z., Kincay, O., Exergoenvironmental and exergoeconomic analyses of a vertical type ground source heat pump integrated wall cooling system. Appl. Therm. Eng. 102 (2016), 904–921.
26. Aghbashlo, M., Tabatabaei, M., Mohammadi, P., Khoshnevisan, B., Rajaeifar, M.A., Pakzad, M., Neat diesel beats waste-oriented biodiesel from the exergoeconomic and exergoenvironmental point of views. Energy Convers. Manag. 148 (2017), 1–15.
27. Ortiz, F.J.G., Ollero, P., Serrera, A., Galera, S., Optimization of power and hydrogen production from glycerol by supercritical water reforming. Chem. Eng. J. 218 (2013), 309–318.
28. Hajjaji, N., Baccar, I., Pons, M.-N., Energy and exergy analysis as tools for optimization of hydrogen production by glycerol autothermal reforming. Renew. Energy 71 (2014), 368–380.
29. Hajjaji, N., Chahbani, A., Khila, Z., Pons, M.-N., A comprehensive energy–exergy-based assessment and parametric study of a hydrogen production process using steam glycerol reforming. Energy 64 (2014), 473–483.
30. Song, G., Xiao, J., Zhao, H., Shen, L., A unified correlation for estimating specific chemical exergy of solid and liquid fuels. Energy 40 (2012), 164–173.
31. Wall, G., Exergetics, Mölndal, Sweden. 1998.
32. Lazzaretto, A., Tsatsaronis, G., SPECO: a systematic and general methodology for calculating efficiencies and costs in thermal systems. Energy 31 (2006), 1257–1289.
33. Aghbashlo, M., Hosseinpour, S., Tabatabaei, M., Younesi, H., Najafpour, G., 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 96 (2016), 507–520.