Heuristic Approach to Comparing the Environmental Impacts of Carbon Nanotube Production Methods
Abstract
Carbon Nanotubes (CNTs) production so far has its own advantages and disadvantages. Some methods that can be used in producing CNTs are chemical vapor deposition (CVD), laser ablation, and arc discharge. The three methods have their own requirements, this causes different environmental impacts on each method. Studies into the environmental impact of the CNTs production process found that during thermal pretreatment of the reactant gas, more than 45 by-products were formed, including methane, volatile organic compounds, and polycyclic aromatic hydrocarbons. Calculating the environmental impact of CNTs production method often has challenges in implementation, because each production process has different systems and needs. One way to overcome this problem is by using the heuristic method for forecasting environmental impact, which can be done with the Multi-Criteria Decision Analysis algorithm. The method can calculate uncertainty in each scenario, by normalizing the given load value. In this study, the CVD method has the best solution and objective value results compared to laser ablation and arc discharge. The best solution and objective values that show the value of scenario quality and environmental impact in each method, in CVD the solution obtained in the 34th generation has an epsilon value of 0.00251. The generation shows the performance of the scenario, while the epsilon value shows the value of the environmental impact, the smaller the generation, the better the scenario, while the smaller the epsilon value, the smaller the environmental impact.
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R. Girardello, S. Tasselli, N. Baranzini, R. Valvassori, M. De, and A. Grimaldi, "Effects of carbon nanotube environmental dispersion on an aquatic invertebrate, hirudo medicinalis," PLoS ONE, vol. 10, no. 12, pp. 1-16, Dec. 2015, doi: 10.1371/journal.pone.0144361.
C. Dowding, "Laser ablation,” in Advances in Laser Materials Processing: Technology, Research, and Application," Amsterdam: Elsevier, pp. 575-628, July 2010, doi: 10.1533/9781845699819.7.575.
N. Arora and N.N. Sharma, "Arc discharge synthesis of carbon nanotubes: Comprehensive review," Diamond & Related Materials, vol. 50, pp. 135-150, Oct. 2014, doi: 10.1016/j.diamond.2014.10.001.
D.S. Bhardwaj, "Synthesis methods of carbon nanotubes and related materials," Materials, vol. 3, no. 5, pp. 3092-3140, May 2010, doi: 10.3390/ma3053092.
M. Pant, R. Singh, P. Negi, K. Tiwari, and Y. Singh, "A comprehensive review on carbon nano-tube synthesis using chemical vapor deposition," Materials Today: Proceedings, vol. 46, pp. 11250-11253, Feb. 2021, doi: 10.1016/j.matpr.2021.02.646.
E. Calucho, C. Parolo, and L. Rivas, "Nanoparticle-based lateral flow assays," Advances in Colloid and Interface Science, vol. 89, pp. 1-28, Apr. 2020, doi: 10.1016/bs.coac.2020.04.011.
S. Thomas, N. Kalarikkal, A.M. Stephan, and B. Raneesh, “Advanced Nanomaterials: Synthesis, Properties, and Applications,” New Jersey: Apple Academic Press, May 2014. https://doi.org/10.1201/b16966
N.M. Mubarak, E.C. Abdullah, N.S. Jayakumar, and J.N. Sahu, "An overview on methods for the production of carbon nanotubes," Journal of Industrial and Engineering Chemistry, vol. 19, no. 4, pp. 601-611, Sep. 2013, doi: 10.1016/j.jiec.2013.09.001.
D.K. Patel, H. Kim, S. D. Dutta, K. Ganguly, and K. Lim, "Carbon nanotubes-based nanomaterials and their applications," Materials, vol. 89, no. 3, pp. 1-28, Mar. 2020.
A. Schierz and H. Za, "Aqueous suspensions of carbon nanotubes: Surface oxidation, colloidal stability, and uranium sorption," Environmental Pollution, vol. 157, no. 3, pp. 1088-1094, Sep. 2009, doi: 10.1016/j.envpol.2008.09.045.
P.M. Gschwend, "Early evaluation of potential environmental impacts of carbon nanotube synthesis by chemical vapor deposition," Environmental Science & Technology, vol. 43, no. 21, pp. 8367-8373, Nov. 2009.
M.L. Healy, L.J. Dahlben, and J.A. Isaacs, "Environmental assessment of single-walled carbon nanotube processes," Journal of Industrial Ecology, vol. 12, no. 3, pp. 376-393, Jun. 2008, doi: 10.1111/j.1530-9290.2008.00058.x.
A. Trompeta, M.A. Koklioti, D.K. Perivoliotis, I. Lynch, and C.A. Charitidis, "Sustainable carbon nanotube synthesis: A comparative life cycle assessment," Journal of Cleaner Production, vol. 137, pp. 146-156, Nov. 2016, doi: 10.1016/j.jclepro.2016.04.044.
T.G. Gutowski, J.Y.H. Liow, and D.P. Sekulic, "Minimum exergy requirements for the manufacturing of carbon nanotubes," IEEE Transactions on Electronics Packaging Manufacturing, vol. 33, no. 1, pp. 1-9, Jan. 2010.
J.L. Kwok, D. Coninck, E. Ventimiglia, F. Panthier, M. Corrales, A. Sierra, et al., "Laser ablation efficiency, laser ablation speed, and laser energy consumption during lithotripsy: What are they and how are they defined? A systematic review and proposal for a standardized terminology," European Urology Focus, vol. 9, no. 1, pp. 135-145, Jan. 2023, doi: 10.1016/j.euf.2023.10.004.
R.A. Ismail, M.H. Mohsin, A.K. Ali, K.I. Hassoon, and S. Erten-Ela, "Preparation and characterization of carbon nanotubes by pulsed laser ablation in water for optoelectronic application," Physica E: Low-Dimensional Systems and Nanostructures, vol. 119, pp. 113-997, Jan. 2020, doi: 10.1016/j.physe.2020.113997.
H. Ribeiro, M.C. Schnitzler, W.M. da Silva, and A.P. Santos, "Purification of carbon nanotubes produced by the electric arc-discharge method," Surfaces and Interfaces, vol. 26, pp. 101-389, Apr. 2021, doi: 10.1016/j.surfin.2021.101389.
S.A. Tabibian, M. Labbafi, G.H. Askari, A.R. Rezaeinezhad, and H. Ghomi, "Effect of gliding arc discharge plasma pretreatment on drying kinetic, energy consumption and physico-chemical properties of saffron (Crocus sativus L.)," Journal of Food Engineering, vol. 270, pp. 109-766, Jun. 2020, doi: 10.1016/j.jfoodeng.2019.109766.
A. Singh, H. Lou, W. Pike, A. Agboola, X. Li, R. Hopper, L. Yaws, "Environmental impact assessment for potential continuous processes for the production of carbon nanotubes," Environmental Science & Technology, vol. 42, no. 5, pp. 522-534, Mar. 2008.
Z. Zhang, F. Xi, S. Li, X. Wan, and W. Ma, "High-performance Si/nano-Cu/CNTs/C anode derived from photovoltaic silicon waste: A potential photovoltaic-energy storage strategy," Materials Today Energy, vol. 20, p. 100671, Mar. 2021, doi: 10.1016/j.mtener.2021.100671.
S. Temizel, S. Fan, and A. L. Hicks, "Global scale life cycle environmental impacts of single- and multi-walled carbon nanotube synthesis processes," International Journal of Life Cycle Assessment, vol. 26, no. 4, pp. 656-672, Apr. 2021, doi: 10.1007/s11367-020-01862-1.
P. M. Biranje, J. Prakash, R. Alexander, A. Kaushal, A. W. Patwardhan, J. B. Joshi, K. Dasgupa., "Ultra-fast detection and monitoring of cancerous volatile organic compounds in environment using graphene oxide modified CNT aerogel hybrid gas sensor," Talanta Open, vol. 6, p. 100148, Jun. 2022, doi: 10.1016/j.talo.2022.100148.
N. U. M. Nizam, M. M. Hanafiah, and K. S. Woon, "A content review of life cycle assessment of nanomaterials: Current practices, challenges, and future prospects," Nanomaterials, vol. 11, no. 12, pp. 1-27, Dec. 2021, doi: 10.3390/nano11123324.
B. Song, P. Xu. G. Zeng, J. Gong, P. Zhang, H. Feng, Y. Liu, X. Ren., "Carbon nanotube-based environmental technologies: the adopted properties, primary mechanisms, and challenges," Reviews in Environmental Science and Biotechnology, vol. 17, no. 3, pp. 571-590, Sep. 2018, doi: 10.1007/s11157-018-9468-z.
A.F. Trompeta, M.A. Koklioti, D.K. Perivoliotis, I. Lynch, and C.A. Charitidis, "Towards a holistic environmental impact assessment of carbon nanotube growth through chemical vapour deposition," Journal of Cleaner Production, vol. 129, pp. 384-394, Aug. 2016, doi: 10.1016/j.jclepro.2016.04.044.
G. Allaedini, S. M. Tasirin, and P. Aminayi, "Synthesis of CNTs via chemical vapor deposition of carbon dioxide as a carbon source in the presence of NiMgO," Journal of Alloys and Compounds, vol. 647, pp. 809-814, Oct. 2015, doi: 10.1016/j.jallcom.2015.06.012.
K. Selvan, "Synthesis and characterization of carbon nanotubes from engine soot and its application as an additive in Schizochytrium biodiesel fuelled DICI engine," Energy Reports, vol. 6, pp. 2126-2139, Dec. 2020, doi: 10.1016/j.egyr.2020.08.003.
L. Fu, J. Li, and S. Pu, "A comparative study of heuristic methods for cardinality constrained portfolio optimization," High-Confidence Computing, vol. 3, no. 1, p. 100097, Jan. 2023, doi: 10.1016/j.hcc.2022.100097.
E.H. Houssein, A.G. Gad, Y.M. Wazery, and P. Nagaratnam, "Task scheduling in cloud computing based on meta-heuristics: Review, taxonomy, open challenges, and future trends," Swarm Evol. Comput., vol. 62, p. 100841, October 2021, doi: 10.1016/j.swevo.2021.100841.
G.M. Zanghelini, E. Cherubini, S.R. Soares,“How Multi-Criteria Decision Analysis (MCDA) is aiding Life Cycle Assessment (LCA) in results interpretation”, Journal of Cleaner Production, vol. 172, pp. 609-622, 2018, doi.org/10.1016/j.jclepro.2017.10.230.
N. Clímaco, A. Carolina, M. Angelo, A. Bernstad, C. Eduar.do, and R. Valle, “Life cycle assessment and multi-criteria decision analysis : Selection of a strategy for domestic food waste management in Rio de Janeiro”, Journal of Cleaner Production, Volume 143, Pages 744-756 2016, Feb. 2017, doi: 10.1016/j.jclepro.2016.12.049.
Rajagopalan, N. Brancart, S. D. Regel, S. Paduart, A. Temmerman, N.D. Debacker, “Multi-criteria decision analysis using life cycle assessment and life cycle costing in circular building design: A case study for wall partitioning systems in the circular retrofit lab” Sustainability, vol. 13, p. 5124, May 2021. https://doi.org/10.3390/ su13095124.
Q. Xue, Q., Wang, Z., and Chen, ‘Multi-objective optimization of building design for life cycle cost and CO2 emissions: A case study of a low-energy residential building in a severe cold climate”, Building Simulation, June 2021, doi: 10.1007/s12273-021-0796-5.Multi-objective.
V. Prado, K. Rogers, and T. P. Seager, “Integration of MCDA tools in valuation of comparative life cycle assessment,” John Wiley and Sons pp. 413–431, 2012.
L. C. Dias, F. Freire, p. Marques, R. Garcia, and J. Geldermann, “Combining multi-criteria decision analysis and design thinking”, European J of Industrial Engineering, vol. 12, pp. 708, January 2019. doi: 10.1007/978-3-030-11482-4.
A. Baran-kooiker, M. Czech, and C. Kooiker, “Multi-criteria decision analysis (MCDA ) models in health technology assessment of orphan drugs — a Systematic literature review. Next steps in methodology development ? Health technology assessment of orphan,” Front Public Health, vol. 6, no. October, 2018, doi: 10.3389/fpubh.2018.00287.
A.R. Domingues, P. Marques, R. Garcia, F. Freire, and L.C. Dias, “Applying Multi-Criteria Decision Analysis to The Life-Cycle Assessment of vehicles,” Journal Cleaner Production, vol. 107, pp. 749-759, 2015, doi: 10.1016/j.jclepro.2015.05.086.
A.B. Şimşek, G. Köse, and Z. Göktekin, “Evaluating country performance in preventing industrial accidents: A multi-criteria decision analysis approach,” J. Loss Prev. Process Ind., vol. 87, no. October 2023, p. 105241, 2023, doi: 10.1016/j.jlp.2023.105241.
J. Wątróbski, A. Bączkiewicz, K. Nermend, and W. Sałabun, “Version [1.2]- pyrepo-mcda - Reference objects based MCDA software package,” SoftwareX, vol. 24, no. November, p. 101575, 2023, doi: 10.1016/j.softx.2023.101575.
A. Bond, F. Retief, A.M. Saunders, J. Pope, R. C. Alberts, C. Roos, and D. Cilliers., “Investigating communication of findings in environmental impact assessment and developing a research agenda for improvement,” Environ. Impact Assess. Rev., vol. 105, no. January, p. 107453, 2024, doi: 10.1016/j.eiar.2024.107453.
T. Myllyviita, A. Holma, R. Antikainen, K. Lähtinen, and P. Leskinen, “Assessing environmental impacts of biomass production chains - Application of life cycle assessment (LCA) and multi-criteria decision analysis (MCDA),” J. Clean. Prod., vol. 29–30, pp. 238–245, 2012, doi: 10.1016/j.jclepro.2012.01.019.
M. Shokrollahi, N. Teymouri, and P. Navarri, “Identification and evaluation of most promising CO2 utilization technologies: Multi criteria decision analysis and techno-economic assessment,” J. Clean. Prod., vol. 434, no. June 2023, p. 139620, 2024, doi: 10.1016/j.jclepro.2023.139620.
M. Abed and M. Shmlls, “Analysis of three generations of recycled concrete: An approach using LCA and weighted sum model,” Mater. Today Proc., no. November, 2023, doi: 10.1016/j.matpr.2023.11.145.
M. Cinelli, P. Burgherr, M. Kadziński, and R. Słowiński, “Proper and improper uses of MCDA methods in energy systems analysis,” Decis. Support Syst., vol. 163, no. August, 2022, doi: 10.1016/j.dss.2022.113848.
W. Zheng and B. Doerr, “Mathematical runtime analysis for the non-dominated sorting genetic algorithm II (NSGA-II),” Artif. Intell., vol. 325, p. 104016, 2023, doi: 10.1016/j.artint.2023.104016.
D.P. Dash, “Application of NSGA-II for environmental constraint economic dispatch of thermal-wind-solar power system,” Renew. Energy Focus, vol. 43, pp. 239–245, 2022, doi: 10.1016/j.ref.2022.08.008.
A. Da Li, Z. He, and Y. Zhang, “Robust multi-response optimization considering location effect, dispersion effect, and model uncertainty using hybridization of NSGA-II and direct multi-search,” Comput. Ind. Eng., vol. 169, no. May, 2022, doi: 10.1016/j.cie.2022.108247.
J. Wątróbski, A. Bączkiewicz, and W. Sałabun, “Version [1.1]–[pyrepo-mcda — Reference Objects based MCDA Software Package],” SoftwareX, vol. 19, p. 101197, 2022, doi: 10.1016/j.softx.2022.101197.
J. Więckowski and W. Sałabun, “Sensitivity analysis approaches in multi-criteria decision analysis: A systematic review,” Appl. Soft Comput., vol. 148, no. June, p. 110915, 2023, doi: 10.1016/j.asoc.2023.110915.
R. Hites, Y. De Smet, N. Risse, M. Salazar-Neumann, and P. Vincke, “About the applicability of MCDA to some robustness problems,” Eur. J. Oper. Res., vol. 174, no. 1, pp. 322–332, 2006, doi: 10.1016/j.ejor.2005.01.031.
T. Cai and H. Wang, “A general convergence analysis method for evolutionary multi-objective optimization algorithm,” Inf. Sci. (Ny)., p. 120267, 2024, doi: 10.1016/j.ins.2024.120267.
DOI: http://dx.doi.org/10.17977/um016v8i12024p199
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