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A Holistic Methodology for Optimizing Industrial Resource Efficiency

Author

Listed:
  • Maziar Kermani

    (Ecole Polytechnique Fédérale de Lausanne (EPFL) Valais Wallis, Industrial Process and Energy Systems Engineering (IPESE) Group, 1951 Sion, Switzerland)

  • Ivan D. Kantor

    (Ecole Polytechnique Fédérale de Lausanne (EPFL) Valais Wallis, Industrial Process and Energy Systems Engineering (IPESE) Group, 1951 Sion, Switzerland)

  • Anna S. Wallerand

    (Ecole Polytechnique Fédérale de Lausanne (EPFL) Valais Wallis, Industrial Process and Energy Systems Engineering (IPESE) Group, 1951 Sion, Switzerland)

  • Julia Granacher

    (Ecole Polytechnique Fédérale de Lausanne (EPFL) Valais Wallis, Industrial Process and Energy Systems Engineering (IPESE) Group, 1951 Sion, Switzerland)

  • Adriano V. Ensinas

    (Department of Engineering (DEG/UFLA), Federal University of Lavras, 3037 Lavras, Minas Gerais (MG), Brazil)

  • François Maréchal

    (Ecole Polytechnique Fédérale de Lausanne (EPFL) Valais Wallis, Industrial Process and Energy Systems Engineering (IPESE) Group, 1951 Sion, Switzerland)

Abstract

Efficient consumption of energy and material resources, including water, is the primary focus for process industries to reduce their environmental impact. The Conference of Parties in Paris (COP21) highlighted the prominent role of industrial energy efficiency in combating climate change by reducing greenhouse gas emissions. Consumption of energy and material resources, especially water, are strongly interconnected and, therefore, must be treated simultaneously using a holistic approach to identify optimal solutions for efficient processing. Such approaches must consider energy and water recovery within a comprehensive process integration framework which includes options such as organic Rankine cycles for electricity generation from low–medium-temperature heat. This work addresses the importance of holistic approaches by proposing a methodology for simultaneous consideration of heat, mass, and power in industrial processes. The methodology is applied to a kraft pulp mill. In doing so, freshwater consumption is reduced by more than 60%, while net power output is increased by a factor of up to six (from 3.2 MW to between 10–26 MW). The results show that interactions among these elements are complex and therefore underline the necessity of such comprehensive methods to explore their optimal integration with industrial processes. The potential applications of this work are vast, extending from total site resource integration to addressing synergies in the context of industrial symbiosis.

Suggested Citation

  • Maziar Kermani & Ivan D. Kantor & Anna S. Wallerand & Julia Granacher & Adriano V. Ensinas & François Maréchal, 2019. "A Holistic Methodology for Optimizing Industrial Resource Efficiency," Energies, MDPI, vol. 12(7), pages 1-33, April.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1315-:d:220385
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    References listed on IDEAS

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    1. Maziar Kermani & Ivan D. Kantor & François Maréchal, 2018. "Synthesis of Heat-Integrated Water Allocation Networks: A Meta-Analysis of Solution Strategies and Network Features," Energies, MDPI, vol. 11(5), pages 1-28, May.
    2. Chang, Chenglin & Chen, Xiaolu & Wang, Yufei & Feng, Xiao, 2017. "Simultaneous optimization of multi-plant heat integration using intermediate fluid circles," Energy, Elsevier, vol. 121(C), pages 306-317.
    3. Zhang, B.J. & Li, J. & Zhang, Z.L. & Wang, K. & Chen, Q.L., 2016. "Simultaneous design of heat exchanger network for heat integration using hot direct discharges/feeds between process plants," Energy, Elsevier, vol. 109(C), pages 400-411.
    4. Tarighaleslami, Amir H. & Walmsley, Timothy G. & Atkins, Martin J. & Walmsley, Michael R.W. & Liew, Peng Yen & Neale, James R., 2017. "A Unified Total Site Heat Integration targeting method for isothermal and non-isothermal utilities," Energy, Elsevier, vol. 119(C), pages 10-25.
    5. Liew, Peng Yen & Theo, Wai Lip & Wan Alwi, Sharifah Rafidah & Lim, Jeng Shiun & Abdul Manan, Zainuddin & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev, 2017. "Total Site Heat Integration planning and design for industrial, urban and renewable systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 964-985.
    6. Wallerand, Anna S. & Kermani, Maziar & Kantor, Ivan & Maréchal, François, 2018. "Optimal heat pump integration in industrial processes," Applied Energy, Elsevier, vol. 219(C), pages 68-92.
    7. Kermani, Maziar & Wallerand, Anna S. & Kantor, Ivan D. & Maréchal, François, 2018. "Generic superstructure synthesis of organic Rankine cycles for waste heat recovery in industrial processes," Applied Energy, Elsevier, vol. 212(C), pages 1203-1225.
    8. Wang, Yufei & Chang, Chenglin & Feng, Xiao, 2015. "A systematic framework for multi-plants Heat Integration combining Direct and Indirect Heat Integration methods," Energy, Elsevier, vol. 90(P1), pages 56-67.
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    Cited by:

    1. Maziar Kermani & Ivan D. Kantor & François Maréchal, 2019. "Optimal Design of Heat-Integrated Water Allocation Networks," Energies, MDPI, vol. 12(11), pages 1-31, June.
    2. Granacher, Julia & Nguyen, Tuong-Van & Castro-Amoedo, Rafael & Maréchal, François, 2022. "Overcoming decision paralysis—A digital twin for decision making in energy system design," Applied Energy, Elsevier, vol. 306(PA).
    3. Fabiana Liar Agudo & Bárbara Stolte Bezerra & José Alcides Gobbo Júnior, 2024. "An overview of Brazilian companies' readiness to implement industrial symbiosis," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 1066-1080, February.
    4. 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).
    5. Hür Bütün & Ivan Kantor & François Maréchal, 2019. "An Optimisation Approach for Long-Term Industrial Investment Planning," Energies, MDPI, vol. 12(21), pages 1-33, October.
    6. Anna Gatzioura & Miquel Sànchez-Marrè & Karina Gibert, 2019. "A Hybrid Recommender System to Improve Circular Economy in Industrial Symbiotic Networks," Energies, MDPI, vol. 12(18), pages 1-24, September.

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