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Simultaneous optimization of integrated heat, mass and pressure exchange network using exergoeconomic method

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  • Dong, Ruifeng
  • Yu, Yunsong
  • Zhang, Zaoxiao

Abstract

Energy crisis becomes increasingly serious with the rapid industrial development. Apart from searching for the alternative energy sources, researchers are dedicated to increasing the efficiency of energy utilization in the industrial production process to alleviate the energy scarcity. The integration of heat, mass and pressure exchange networks is regarded as an effective way to reduce the energy consumption. This paper introduces exergoeconomic analysis to the integrated network optimization. The exergoeconomic analysis is performed by an overall analysis of energy and economic factors, which is very useful for industrial process design. The optimization turns out to be a mixed integer nonlinear programming (MINLP) problem due to the multi-objective and multi-constraint factors. A modified state space model is developed for the integrated network to handle all the parameters and possible network structures. Genetic algorithm is employed to get a globally optimal solution based on the developed state space model and MATLAB program. Case studies are carried out to demonstrate that exergoeconomic analysis is more suitable than the optimization of annual cost or raw material consumption. The results show that exergoeconomic analysis based on the proposed state space model performs well to solve the integrated network problems.

Suggested Citation

  • Dong, Ruifeng & Yu, Yunsong & Zhang, Zaoxiao, 2014. "Simultaneous optimization of integrated heat, mass and pressure exchange network using exergoeconomic method," Applied Energy, Elsevier, vol. 136(C), pages 1098-1109.
    • Handle: RePEc:eee:appene:v:136:y:2014:i:c:p:1098-1109
    DOI: 10.1016/j.apenergy.2014.07.047
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    as
    1. Kravanja, Philipp & Modarresi, Ala & Friedl, Anton, 2013. "Heat integration of biochemical ethanol production from straw – A case study," Applied Energy, Elsevier, vol. 102(C), pages 32-43.
    2. Wang, Yufei & Wei, Ying & Feng, Xiao & Chu, Khim Hoong, 2014. "Synthesis of heat exchanger networks featuring batch streams," Applied Energy, Elsevier, vol. 114(C), pages 30-44.
    3. Morris, David R. & Szargut, Jan, 1986. "Standard chemical exergy of some elements and compounds on the planet earth," Energy, Elsevier, vol. 11(8), pages 733-755.
    4. Tiew, B.J. & Shuhaimi, M. & Hashim, H., 2012. "Carbon emission reduction targeting through process integration and fuel switching with mathematical modeling," Applied Energy, Elsevier, vol. 92(C), pages 686-693.
    5. Wang, Ligang & Yang, Yongping & Dong, Changqing & Morosuk, Tatiana & Tsatsaronis, George, 2014. "Multi-objective optimization of coal-fired power plants using differential evolution," Applied Energy, Elsevier, vol. 115(C), pages 254-264.
    6. Santhosh, Apoorva & Farid, Amro M. & Youcef-Toumi, Kamal, 2014. "Real-time economic dispatch for the supply side of the energy-water nexus," Applied Energy, Elsevier, vol. 122(C), pages 42-52.
    7. Zhang, Jianyun & Liu, Pei & Zhou, Zhe & Ma, Linwei & Li, Zheng & Ni, Weidou, 2014. "A mixed-integer nonlinear programming approach to the optimal design of heat network in a polygeneration energy system," Applied Energy, Elsevier, vol. 114(C), pages 146-154.
    8. Vaskan, Pavel & Guillén-Gosálbez, Gonzalo & Jiménez, Laureano, 2012. "Multi-objective design of heat-exchanger networks considering several life cycle impacts using a rigorous MILP-based dimensionality reduction technique," Applied Energy, Elsevier, vol. 98(C), pages 149-161.
    9. Towler, Gavin P., 1996. "Integrated process design for improved energy efficiency," Renewable Energy, Elsevier, vol. 9(1), pages 1076-1080.
    10. Lara, Yolanda & Lisbona, Pilar & Martínez, Ana & Romeo, Luis M., 2013. "Design and analysis of heat exchanger networks for integrated Ca-looping systems," Applied Energy, Elsevier, vol. 111(C), pages 690-700.
    11. Kim, Kyoung Hoon & Ko, Hyung Jong & Kim, Kyoungjin, 2014. "Assessment of pinch point characteristics in heat exchangers and condensers of ammonia–water based power cycles," Applied Energy, Elsevier, vol. 113(C), pages 970-981.
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