IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i19p14443-d1252829.html
   My bibliography  Save this article

Assessing Exergy Efficiency in Computer-Aided Modeled Large-Scale Production of Chitosan Microbeads Modified with Thiourea and Magnetite Nanoparticles

Author

Listed:
  • Forlin Bertel-Pérez

    (Nanomaterials and Computer Aided Process Engineering Research Group (NIPAC), Chemical Engineering Department, Universidad de Cartagena, Avenida del Consulado St. 30, Cartagena de Indias 130015, Colombia)

  • Grisel Cogollo-Cárcamo

    (Nanomaterials and Computer Aided Process Engineering Research Group (NIPAC), Chemical Engineering Department, Universidad de Cartagena, Avenida del Consulado St. 30, Cartagena de Indias 130015, Colombia)

  • Ángel Darío González-Delgado

    (Nanomaterials and Computer Aided Process Engineering Research Group (NIPAC), Chemical Engineering Department, Universidad de Cartagena, Avenida del Consulado St. 30, Cartagena de Indias 130015, Colombia)

Abstract

Chitosan, the deacetylated derivative of chitin, is a biopolymer with many applications in different sectors, such as pharmaceutical, food, and wastewater treatment, amongst others. It can be used as a source for synthesizing bioadsorbents modified with chelators and nanoparticles for the removal of pollutants. In this report, we conducted an exergy analysis to evaluate the large-scale production of chitosan-based bioadsorbents modified with iron nanoparticles and chelators. The objective was to identify energy inefficiencies and propose technological enhancements to improve energy utilization. The process was simulated using Aspen Plus V.10 ® software, enabling the quantification of chemical and physical exergies for the species and streams involved. We calculated process irreversibilities, exergy losses, waste exergy, and utility exergy flows for each stage and the overall process. These findings provide valuable insights into optimizing energy utilization in the production of chitosan-based bioadsorbents. The overall exergy efficiency was 4.98%, with the washing and drying stages of nanoparticles and adsorbent synthesis accounting for the largest contribution to process irreversibilities and exergy destruction. To increase the global exergy efficiency of the process, it is proposed to implement process improvement strategies, such as mass or energy integration, to obtain better energy performance.

Suggested Citation

  • Forlin Bertel-Pérez & Grisel Cogollo-Cárcamo & Ángel Darío González-Delgado, 2023. "Assessing Exergy Efficiency in Computer-Aided Modeled Large-Scale Production of Chitosan Microbeads Modified with Thiourea and Magnetite Nanoparticles," Sustainability, MDPI, vol. 15(19), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14443-:d:1252829
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/19/14443/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/19/14443/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peralta-Ruiz, Y. & González-Delgado, A.-D. & Kafarov, V., 2013. "Evaluation of alternatives for microalgae oil extraction based on exergy analysis," Applied Energy, Elsevier, vol. 101(C), pages 226-236.
    2. Marcello De Falco & Gianluca Natrella & Mauro Capocelli & Paulina Popielak & Marcelina Sołtysik & Dariusz Wawrzyńczak & Izabela Majchrzak-Kucęba, 2022. "Exergetic Analysis of DME Synthesis from CO 2 and Renewable Hydrogen," Energies, MDPI, vol. 15(10), pages 1-20, May.
    3. Rocco, M.V. & Colombo, E. & Sciubba, E., 2014. "Advances in exergy analysis: a novel assessment of the Extended Exergy Accounting method," Applied Energy, Elsevier, vol. 113(C), pages 1405-1420.
    4. Raju Gollangi & K Nagamalleswara Rao, 2023. "Energetic, exergetic analysis and machine learning of methane chlorination process for methyl chloride production," Energy & Environment, , vol. 34(7), pages 2432-2453, November.
    5. Daissy Lorena Restrepo-Serna & Jimmy Anderson Martínez-Ruano & Carlos Ariel Cardona-Alzate, 2018. "Energy Efficiency of Biorefinery Schemes Using Sugarcane Bagasse as Raw Material," Energies, MDPI, vol. 11(12), pages 1-12, December.
    6. Gholami, Ali & Hajinezhad, Ahmad & Pourfayaz, Fathollah & Ahmadi, Mohammad Hossein, 2018. "The effect of hydrodynamic and ultrasonic cavitation on biodiesel production: An exergy analysis approach," Energy, Elsevier, vol. 160(C), pages 478-489.
    7. Peters, Jens F. & Petrakopoulou, Fontina & Dufour, Javier, 2015. "Exergy analysis of synthetic biofuel production via fast pyrolysis and hydroupgrading," Energy, Elsevier, vol. 79(C), pages 325-336.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Samir Meramo-Hurtado & Adriana Herrera-Barros & Ángel González-Delgado, 2019. "Evaluation of Large-Scale Production of Chitosan Microbeads Modified with Nanoparticles Based on Exergy Analysis," Energies, MDPI, vol. 12(7), pages 1-16, March.
    2. Jagtap, Sharad P. & Pawar, Anand N. & Lahane, Subhash, 2020. "Improving the usability of biodiesel blend in low heat rejection diesel engine through combustion, performance and emission analysis," Renewable Energy, Elsevier, vol. 155(C), pages 628-644.
    3. Alfonso Biondi & Enrico Sciubba, 2021. "Extended Exergy Analysis (EEA) of Italy, 2013–2017," Energies, MDPI, vol. 14(10), pages 1-21, May.
    4. Pavelka, Michal & Klika, Václav & Vágner, Petr & Maršík, František, 2015. "Generalization of exergy analysis," Applied Energy, Elsevier, vol. 137(C), pages 158-172.
    5. Colombo, Emanuela & Rocco, Matteo V. & Toro, Claudia & Sciubba, Enrico, 2015. "An exergy-based approach to the joint economic and environmental impact assessment of possible photovoltaic scenarios: A case study at a regional level in Italy," Ecological Modelling, Elsevier, vol. 318(C), pages 64-74.
    6. Goh, Brandon Han Hoe & Ong, Hwai Chyuan & Cheah, Mei Yee & Chen, Wei-Hsin & Yu, Kai Ling & Mahlia, Teuku Meurah Indra, 2019. "Sustainability of direct biodiesel synthesis from microalgae biomass: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 59-74.
    7. Khalili-Garakani, Amirhossein & Ivakpour, Javad & Kasiri, Norollah, 2016. "Evolutionary synthesis of optimum light ends recovery unit with exergy analysis application," Applied Energy, Elsevier, vol. 168(C), pages 507-522.
    8. Thapat Silalertruksa & Chanipa Wirodcharuskul & Shabbir H. Gheewala, 2022. "Environmental Sustainability of Waste Circulation Models for Sugarcane Biorefinery System in Thailand," Energies, MDPI, vol. 15(24), pages 1-21, December.
    9. Volkova, Anna & Krupenski, Igor & Ledvanov, Aleksandr & Hlebnikov, Aleksandr & Lepiksaar, Kertu & Latõšov, Eduard & Mašatin, Vladislav, 2020. "Energy cascade connection of a low-temperature district heating network to the return line of a high-temperature district heating network," Energy, Elsevier, vol. 198(C).
    10. Sun, Jingchao & Na, Hongming & Yan, Tianyi & Che, Zichang & Qiu, Ziyang & Yuan, Yuxing & Li, Yingnan & Du, Tao & Song, Yanli & Fang, Xin, 2022. "Cost-benefit assessment of manufacturing system using comprehensive value flow analysis," Applied Energy, Elsevier, vol. 310(C).
    11. Thomassen, Gwenny & Van Dael, Miet & Lemmens, Bert & Van Passel, Steven, 2017. "A review of the sustainability of algal-based biorefineries: Towards an integrated assessment framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 876-887.
    12. Marco Castellini & Stefano Ubertini & Diego Barletta & Ilaria Baffo & Pietro Buzzini & Marco Barbanera, 2021. "Techno-Economic Analysis of Biodiesel Production from Microbial Oil Using Cardoon Stalks as Carbon Source," Energies, MDPI, vol. 14(5), pages 1-21, March.
    13. Serrenho, André Cabrera & Warr, Benjamin & Sousa, Tânia & Ayres, Robert U. & Domingos, Tiago, 2016. "Structure and dynamics of useful work along the agriculture-industry-services transition: Portugal from 1856 to 2009," Structural Change and Economic Dynamics, Elsevier, vol. 36(C), pages 1-21.
    14. Katia A. Figueroa-Rodríguez & Francisco Hernández-Rosas & Benjamín Figueroa-Sandoval & Joel Velasco-Velasco & Noé Aguilar Rivera, 2019. "What Has Been the Focus of Sugarcane Research? A Bibliometric Overview," IJERPH, MDPI, vol. 16(18), pages 1-15, September.
    15. Georgios Varvoutis & Athanasios Lampropoulos & Evridiki Mandela & Michalis Konsolakis & George E. Marnellos, 2022. "Recent Advances on CO 2 Mitigation Technologies: On the Role of Hydrogenation Route via Green H 2," Energies, MDPI, vol. 15(13), pages 1-38, June.
    16. Orsi, Francesco & Muratori, Matteo & Rocco, Matteo & Colombo, Emanuela & Rizzoni, Giorgio, 2016. "A multi-dimensional well-to-wheels analysis of passenger vehicles in different regions: Primary energy consumption, CO2 emissions, and economic cost," Applied Energy, Elsevier, vol. 169(C), pages 197-209.
    17. Magdalena Szymańska & Tomasz Sosulski & Ewa Szara & Adam Wąs & Piotr Sulewski & Gijs W.P. van Pruissen & René L. Cornelissen, 2019. "Ammonium Sulphate from a Bio-Refinery System as a Fertilizer—Agronomic and Economic Effectiveness on the Farm Scale," Energies, MDPI, vol. 12(24), pages 1-15, December.
    18. Kariana Andrea Moreno-Sader & Jairo David Martínez-Consuegra & Ángel Darío González-Delgado, 2020. "Assessing the Exergetic and Inherent Safety Performance of a Shrimp-Based Biorefinery via Computer-Aided Tools," Energies, MDPI, vol. 13(24), pages 1-15, December.
    19. Enrico Sciubba, 2014. "A Critical Interpretation and Quantitative Extension of the Sama-Szargut Second Law Rules in an Extended Exergy Perspective," Energies, MDPI, vol. 7(8), pages 1-17, August.
    20. George Stamatellos & Tassos Stamatelos, 2022. "Effect of Actual Recuperators’ Effectiveness on the Attainable Efficiency of Supercritical CO 2 Brayton Cycles for Solar Thermal Power Plants," Energies, MDPI, vol. 15(20), pages 1-20, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14443-:d:1252829. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.