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A hybrid approach for heat integration in water conservation networks through non-isothermal mixing

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  • Kamat, Shweta
  • Bandyopadhyay, Santanu

Abstract

Energy and water resources are conserved simultaneously by optimizing heat integrated water conservation networks using numerical optimization or Pinch Analysis tools. Although numerical optimization provides a general framework, it does not impart physical insights into the problem. In contrast, Pinch Analysis tools enhance the visualization but cannot handle complexities. This paper combines the benefits of Pinch Analysis with numerical optimization to develop an algorithm to minimize the total annualized cost through a hybrid approach. The proposed algorithm comprises two linear programming models, minimizing the water and thermal energy requirement. A novel heuristic is proposed in this paper to incorporate non-isothermal mixing within a linear programming framework. Once the non-isothermal mixing streams are identified, the thermal energy consumption, heat exchanger area, and the number of heat exchanger units are minimized through Pinch Analysis. The proposed algorithm targets water, thermal energy, and heat exchanger requirements ahead of the system's design. The efficacy of the proposed algorithm is illustrated through two examples from the literature. The proposed algorithm provides results that are either superior to (e.g., 18% reduction in total annualized costs) or at par with the numerical optimization techniques, which require models with integer variables and non-linearities to be solved.

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  • Kamat, Shweta & Bandyopadhyay, Santanu, 2021. "A hybrid approach for heat integration in water conservation networks through non-isothermal mixing," Energy, Elsevier, vol. 233(C).
    • Handle: RePEc:eee:energy:v:233:y:2021:i:c:s0360544221013918
    DOI: 10.1016/j.energy.2021.121143
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    References listed on IDEAS

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    1. Ibrić, Nidret & Ahmetović, Elvis & Kravanja, Zdravko & Maréchal, François & Kermani, Maziar, 2017. "Simultaneous synthesis of non-isothermal water networks integrated with process streams," Energy, Elsevier, vol. 141(C), pages 2587-2612.
    2. Hong, Xiaodong & Liao, Zuwei & Jiang, Binbo & Wang, Jingdai & Yang, Yongrong, 2017. "Targeting of heat integrated water allocation networks by one-step MILP formulation," Applied Energy, Elsevier, vol. 197(C), pages 254-269.
    3. 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.
    4. 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.
    5. Ahmetović, Elvis & Ibrić, Nidret & Kravanja, Zdravko, 2014. "Optimal design for heat-integrated water-using and wastewater treatment networks," Applied Energy, Elsevier, vol. 135(C), pages 791-808.
    6. Martínez-Patiño, Jesús & Picón-Núñez, Martín & Serra, Luis M. & Verda, Vittorio, 2011. "Design of water and energy networks using temperature–concentration diagrams," Energy, Elsevier, vol. 36(6), pages 3888-3896.
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    Cited by:

    1. Haider, Md Alquma & Chaturvedi, Nitin Dutt, 2023. "A mathematical formulation for robust targeting in heat integrated water allocation network," Energy, Elsevier, vol. 264(C).
    2. Efrain Boom-Cárcamo & Rita Peñabaena-Niebles, 2022. "Analysis of the Development of Industrial Symbiosis in Emerging and Frontier Market Countries: Barriers and Drivers," Sustainability, MDPI, vol. 14(7), pages 1-32, April.
    3. Miguel Castro Oliveira & Muriel Iten & Henrique A. Matos, 2022. "Review on Water and Energy Integration in Process Industry: Water-Heat Nexus," Sustainability, MDPI, vol. 14(13), pages 1-24, June.

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