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Heat integration of regenerative Rankine cycle and process surplus heat through graphical targeting and mathematical modeling technique

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  • Luo, Xianglong
  • Zhang, Bingjian
  • Chen, Ying
  • Mo, Songping

Abstract

Heat Integration, an effective energy-saving technology, has been popularized in many fields. In the current paper, Pinch-based Heat Integration technology is applied in the Heat Integration of process surplus heat (PSH) and regenerative Rankine cycle (RRC)-based steam power plant. PSH is recovered by preheating boiler feed water (BFW) to reduce consumption of steam extracted from the turbine. A systematic hybrid methodology of graphical targeting and mathematical modeling is developed. The objective function is minimal fuel consumption of steam power plant, rather than maximal heat recovery. The terminal temperature and heat load of process-heated BFW are two decision variables. The graphical targeting method is proposed to ascertain the bounds and constraints of the two decision variables. A mathematical model incorporating rigorous simulation of turbine is formulated to achieve the optimal Heat Integration scheme. Two case studies, one pertaining to the Heat Integration of RRC and PSH at low temperature and the other involving the Heat Integration of RRC and PSH at medium temperature, are elaborated. The results show that significant fuel savings and cold utility reductions are achieved by using the proposed methodology. Compared with other methods of PSH utilization, the proposed Heat Integration scheme is more feasible and effective.

Suggested Citation

  • Luo, Xianglong & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2012. "Heat integration of regenerative Rankine cycle and process surplus heat through graphical targeting and mathematical modeling technique," Energy, Elsevier, vol. 45(1), pages 556-569.
    • Handle: RePEc:eee:energy:v:45:y:2012:i:1:p:556-569
    DOI: 10.1016/j.energy.2012.07.052
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    1. Zhu, Qiannan & Luo, Xianglong & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2016. "Mathematical modeling, validation, and operation optimization of an industrial complex steam turbine network-methodology and application," Energy, Elsevier, vol. 97(C), pages 191-213.
    2. 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.
    3. Luo, Xianglong & Huang, Xiaojian & El-Halwagi, Mahmoud M. & Ponce-Ortega, José María & Chen, Ying, 2016. "Simultaneous synthesis of utility system and heat exchanger network incorporating steam condensate and boiler feedwater," Energy, Elsevier, vol. 113(C), pages 875-893.
    4. Huang, Xiaojian & Luo, Xianglong & Chen, Jianyong & Yang, Zhi & Chen, Ying & María Ponce-Ortega, José & El-Halwagi, Mahmoud M., 2018. "Synthesis and dual-objective optimization of industrial combined heat and power plants compromising the water–energy nexus," Applied Energy, Elsevier, vol. 224(C), pages 448-468.
    5. Song, Runrun & Chang, Chenglin & Tang, Qikui & Wang, Yufei & Feng, Xiao & El-Halwagi, Mahmoud M., 2017. "The implementation of inter-plant heat integration among multiple plants. Part II: The mathematical model," Energy, Elsevier, vol. 135(C), pages 382-393.
    6. Fu, Chao & Anantharaman, Rahul & Gundersen, Truls, 2015. "Optimal integration of compression heat with regenerative steam Rankine cycles in oxy-combustion coal based power plants," Energy, Elsevier, vol. 84(C), pages 612-622.
    7. Liu, Peng & Shu, Gequn & Tian, Hua, 2019. "How to approach optimal practical Organic Rankine cycle (OP-ORC) by configuration modification for diesel engine waste heat recovery," Energy, Elsevier, vol. 174(C), pages 543-552.
    8. Patrick Linke & Athanasios I. Papadopoulos & Panos Seferlis, 2015. "Systematic Methods for Working Fluid Selection and the Design, Integration and Control of Organic Rankine Cycles—A Review," Energies, MDPI, vol. 8(6), pages 1-47, May.

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