IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v100y2019icp90-109.html
   My bibliography  Save this article

A comprehensive review of renewable energy source on energy optimization of black liquor in MSE using steady and dynamic state modeling, simulation and control

Author

Listed:
  • Verma, Om Prakash
  • Manik, Gaurav
  • Sethi, Sushant Kumar

Abstract

Increasing energy demand, high energy cost and global warming issues require energy-intensive industries to make sincere efforts to improve energy efficiency. The energy consumption data available for different industries suggests that pulp and paper industry accounts for a significant share. Amongst various procedures to make paper, Kraft recovery process is majorly employed that yields weak but lignin-rich black liquor as a byproduct. Black liquor is one of the emerging biomass energy resources with a strong potential to be used as a biofuel for generating steam/energy to operate the process units, thereby, ensuring process self-sufficiency and sustainability. A Multi-Stage Evaporator (MSE) is needed to concentrate it but suffers from being the most energy consuming unit among all. This piques our interest to explore various energy reducing schemes or configurations used previously for MSE and to report previous research endeavors in the area of steady–state, dynamic modeling and simulation of such processes. It is noted that steady-state and transient behavior analysis together with an efficient controller design may significantly contribute in eliminating or troubleshooting problems to ensure both energy savings and product quality. The article highlights that such an analysis and effective solutions of developed models, due to their non-linear complex nature, are highly dependent on the nature of the algorithm employed. Attempts to design control techniques to enable efficient process control and to eliminate process uncertainties have suffered limitations not only due to inherent inefficiency of control techniques but also due to insufficient underlying knowledge or inappropriate modeling of system transience. With this perspective in mind, advanced and intelligent control techniques and their influence on process/energy transience and optimization have been reviewed. Here, we propose that it is very essential to maintain sufficient prudence in selecting an appropriate simulation, optimization and control algorithm to ensure a sustainable production.

Suggested Citation

  • Verma, Om Prakash & Manik, Gaurav & Sethi, Sushant Kumar, 2019. "A comprehensive review of renewable energy source on energy optimization of black liquor in MSE using steady and dynamic state modeling, simulation and control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 90-109.
  • Handle: RePEc:eee:rensus:v:100:y:2019:i:c:p:90-109
    DOI: 10.1016/j.rser.2018.10.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032118307159
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2018.10.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Khanam, Shabina & Mohanty, Bikash, 2010. "Energy reduction schemes for multiple effect evaporator systems," Applied Energy, Elsevier, vol. 87(4), pages 1102-1111, April.
    2. Om Prakash Verma & Suryakant & Gaurav Manik, 2017. "Solution of SNLAE model of backward feed multiple effect evaporator system using genetic algorithm approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 63-78, March.
    3. Naqvi, Muhammad & Yan, Jinyue & Dahlquist, Erik, 2012. "Bio-refinery system in a pulp mill for methanol production with comparison of pressurized black liquor gasification and dry gasification using direct causticization," Applied Energy, Elsevier, vol. 90(1), pages 24-31.
    4. Karlsson, Magnus, 2011. "The MIND method: A decision support for optimization of industrial energy systems - Principles and case studies," Applied Energy, Elsevier, vol. 88(3), pages 577-589, March.
    5. Dasgupta, Shyamasree & Roy, Joyashree, 2015. "Understanding technological progress and input price as drivers of energy demand in manufacturing industries in India," Energy Policy, Elsevier, vol. 83(C), pages 1-13.
    6. Sharan, Prashant & Bandyopadhyay, Santanu, 2016. "Integration of thermo-vapor compressor with multiple-effect evaporator," Applied Energy, Elsevier, vol. 184(C), pages 560-573.
    7. Kaya, Durmus & Ibrahim Sarac, H., 2007. "Mathematical modeling of multiple-effect evaporators and energy economy," Energy, Elsevier, vol. 32(8), pages 1536-1542.
    8. Chen, Hua-Wei & Hsu, Chung-Hsuan & Hong, Gui-Bing, 2012. "The case study of energy flow analysis and strategy in pulp and paper industry," Energy Policy, Elsevier, vol. 43(C), pages 448-455.
    9. Fateme Medhat Bojnourd & Mohammad Ali Fanaei & Hadi Zohreie, 2015. "Mathematical modelling and dynamic simulation of multi-effect falling-film evaporator for milk powder production," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 21(4), pages 336-358, July.
    10. Morandin, Matteo & Toffolo, Andrea & Lazzaretto, Andrea & Maréchal, François & Ensinas, Adriano V. & Nebra, Silvia A., 2011. "Synthesis and parameter optimization of a combined sugar and ethanol production process integrated with a CHP system," Energy, Elsevier, vol. 36(6), pages 3675-3690.
    11. Shiv Prakash & Vibhu Trivedi & Manojkumar Ramteke, 2016. "An elitist non-dominated sorting bat algorithm NSBAT-II for multi-objective optimization of phthalic anhydride reactor," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(3), pages 299-315, September.
    12. Cardoso, Marcelo & de Oliveira, Kátia Dionísio & Costa, George Alberto Avelar & Passos, Maria Laura, 2009. "Chemical process simulation for minimizing energy consumption in pulp mills," Applied Energy, Elsevier, vol. 86(1), pages 45-51, January.
    13. Gielen, Dolf & Taylor, Peter, 2009. "Indicators for industrial energy efficiency in India," Energy, Elsevier, vol. 34(8), pages 962-969.
    14. Laurijssen, Jobien & Faaij, André & Worrell, Ernst, 2012. "Energy conversion strategies in the European paper industry – A case study in three countries," Applied Energy, Elsevier, vol. 98(C), pages 102-113.
    15. Fleiter, Tobias & Fehrenbach, Daniel & Worrell, Ernst & Eichhammer, Wolfgang, 2012. "Energy efficiency in the German pulp and paper industry – A model-based assessment of saving potentials," Energy, Elsevier, vol. 40(1), pages 84-99.
    16. Verma, Om Prakash & Mohammed, Toufiq Haji & Mangal, Shubham & Manik, Gaurav, 2017. "Minimization of energy consumption in multi-stage evaporator system of Kraft recovery process using Interior-Point Method," Energy, Elsevier, vol. 129(C), pages 148-157.
    17. Abdelaziz, E.A. & Saidur, R. & Mekhilef, S., 2011. "A review on energy saving strategies in industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 150-168, January.
    18. Hong, Gui-Bing & Ma, Chih-Ming & Chen, Hua-Wei & Chuang, Kai-Jen & Chang, Chang-Tang & Su, Te-Li, 2011. "Energy flow analysis in pulp and paper industry," Energy, Elsevier, vol. 36(5), pages 3063-3068.
    19. Balachandra, P. & Ravindranath, Darshini & Ravindranath, N.H., 2010. "Energy efficiency in India: Assessing the policy regimes and their impacts," Energy Policy, Elsevier, vol. 38(11), pages 6428-6438, November.
    20. Mesfun, Sennai & Toffolo, Andrea, 2013. "Optimization of process integration in a Kraft pulp and paper mill – Evaporation train and CHP system," Applied Energy, Elsevier, vol. 107(C), pages 98-110.
    21. A. Blanco & E. Dahlquist & J. Kappen & J. Manninen & C. Negro & R. Ritala, 2009. "Use of modelling and simulation in the pulp and paper industry," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 15(5), pages 409-423, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pati, Smitarani & Verma, Om Prakash, 2022. "Energy integration of solar assisted Multiple Stage Evaporator and optimum parameter selection," Energy, Elsevier, vol. 239(PC).
    2. Goel, Anubhav & Manik, Gaurav & Verma, Om Prakash, 2023. "Integration of a parabolic trough solar collector with an energy-intensive multi-effect evaporator: A move towards industrial decarbonization," Energy, Elsevier, vol. 279(C).
    3. Dincer, Hasan & Yuksel, Serhat, 2019. "Balanced scorecard-based analysis of investment decisions for the renewable energy alternatives: A comparative analysis based on the hybrid fuzzy decision-making approach," Energy, Elsevier, vol. 175(C), pages 1259-1270.
    4. Serhat Yüksel & Hasan Dinçer & Yurdagül Meral, 2019. "Financial Analysis of International Energy Trade: A Strategic Outlook for EU-15," Energies, MDPI, vol. 12(3), pages 1-22, January.

    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. Pati, Smitarani & Verma, Om Prakash, 2022. "Energy integration of solar assisted Multiple Stage Evaporator and optimum parameter selection," Energy, Elsevier, vol. 239(PC).
    2. Mesfun, Sennai & Toffolo, Andrea, 2013. "Optimization of process integration in a Kraft pulp and paper mill – Evaporation train and CHP system," Applied Energy, Elsevier, vol. 107(C), pages 98-110.
    3. Akvile Lawrence & Patrik Thollander & Magnus Karlsson, 2018. "Drivers, Barriers, and Success Factors for Improving Energy Management in the Pulp and Paper Industry," Sustainability, MDPI, vol. 10(6), pages 1-35, June.
    4. Verma, Om Prakash & Mohammed, Toufiq Haji & Mangal, Shubham & Manik, Gaurav, 2017. "Minimization of energy consumption in multi-stage evaporator system of Kraft recovery process using Interior-Point Method," Energy, Elsevier, vol. 129(C), pages 148-157.
    5. Florian Jaehn & Raisa Juopperi, 2019. "A Description of Supply Chain Planning Problems in the Paper Industry with Literature Review," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(01), pages 1-39, February.
    6. Utlu, Zafer & Kincay, Olcay, 2013. "An assessment of a pulp and paper mill through energy and exergy analyses," Energy, Elsevier, vol. 57(C), pages 565-573.
    7. Ji, Xiaoyan & Lundgren, Joakim & Wang, Chuan & Dahl, Jan & Grip, Carl-Erik, 2012. "Simulation and energy optimization of a pulp and paper mill – Evaporation plant and digester," Applied Energy, Elsevier, vol. 97(C), pages 30-37.
    8. Herre, Lars & Tomasini, Federica & Paridari, Kaveh & Söder, Lennart & Nordström, Lars, 2020. "Simplified model of integrated paper mill for optimal bidding in energy and reserve markets," Applied Energy, Elsevier, vol. 279(C).
    9. Lin, Hsin-Chiu & Chan, David Yih-Liang & Lin, Wei-Chun & Hsu, Chung-Hsuan & Hong, Gui-Bing, 2014. "Status of energy conservation in Taiwan's pulp and paper industry," Energy, Elsevier, vol. 73(C), pages 680-685.
    10. Ahmetović, Elvis & Ibrić, Nidret & Kravanja, Zdravko & Grossmann, Ignacio E. & Maréchal, François & Čuček, Lidija & Kermani, Maziar, 2018. "Simultaneous optimisation and heat integration of evaporation systems including mechanical vapour recompression and background process," Energy, Elsevier, vol. 158(C), pages 1160-1191.
    11. Kong, Lingbo & Price, Lynn & Hasanbeigi, Ali & Liu, Huanbin & Li, Jigeng, 2013. "Potential for reducing paper mill energy use and carbon dioxide emissions through plant-wide energy audits: A case study in China," Applied Energy, Elsevier, vol. 102(C), pages 1334-1342.
    12. Sharan, Prashant & Bandyopadhyay, Santanu, 2016. "Energy optimization in parallel/cross feed multiple-effect evaporator based desalination system," Energy, Elsevier, vol. 111(C), pages 756-767.
    13. Paramonova, Svetlana & Thollander, Patrik & Ottosson, Mikael, 2015. "Quantifying the extended energy efficiency gap-evidence from Swedish electricity-intensive industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 472-483.
    14. Andersson, Elias & Karlsson, Magnus & Thollander, Patrik & Paramonova, Svetlana, 2018. "Energy end-use and efficiency potentials among Swedish industrial small and medium-sized enterprises – A dataset analysis from the national energy audit program," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 165-177.
    15. Om Prakash Verma & Toufiq Haji Mohammed & Shubham Mangal & Gaurav Manik, 2018. "Optimization of steam economy and consumption of heptad’s effect evaporator system in Kraft recovery process," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(1), pages 111-130, February.
    16. Wang, Yutao & Yang, Xuechun & Sun, Mingxing & Ma, Lei & Li, Xiao & Shi, Lei, 2016. "Estimating carbon emissions from the pulp and paper industry: A case study," Applied Energy, Elsevier, vol. 184(C), pages 779-789.
    17. Lu, Shyi-Min & Lu, Ching & Tseng, Kuo-Tung & Chen, Falin & Chen, Chen-Liang, 2013. "Energy-saving potential of the industrial sector of Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 674-683.
    18. Rogers, John Geoffrey & Cooper, Samuel J. & Norman, Jon B., 2018. "Uses of industrial energy benchmarking with reference to the pulp and paper industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 23-37.
    19. Habib, Mohammad Ahsan & Hasanuzzaman, M. & Hosenuzzaman, M. & Salman, Asif & Mehadi, Md Riyad, 2016. "Energy consumption, energy saving and emission reduction of a garment industrial building in Bangladesh," Energy, Elsevier, vol. 112(C), pages 91-100.
    20. Apergis, Nicholas & Aye, Goodness C. & Barros, Carlos Pestana & Gupta, Rangan & Wanke, Peter, 2015. "Energy efficiency of selected OECD countries: A slacks based model with undesirable outputs," Energy Economics, Elsevier, vol. 51(C), pages 45-53.

    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:eee:rensus:v:100:y:2019:i:c:p:90-109. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.