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Optimal multicomponent working fluid of organic Rankine cycle for exergy transfer from liquefied natural gas regasification

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  • Lee, Ung
  • Mitsos, Alexander

Abstract

A hybrid optimization methodology is proposed for the working fluid selection of an organic Rankine cycle (ORC). First, a stochastic global solver is used to select the chemical species of the working fluid; then, a deterministic global solver is used to optimize the composition. The first step is a mixed integer nonlinear programing (MINLP) and the second a nonlinear program (NLP). The methodology is applied to the recovery of cryogenic energy during the evaporation of liquefied natural gas (LNG), which is a promising way to produce electricity with relatively high efficiency from the large amount of otherwise wasted heat. Seawater or low-grade heat sources can be used as heat source. Multicomponent working fluids have advantages compared to pure fluids because of the nonisothermal evaporation of LNG. Herein, a ternary mixture is considered. A mixture of CF4, CHF3, n-pentane is identified as an optimum ternary working fluid. It produces about 1.1 MJ/kmol LNG with a simple organic Rankine cycle using seawater as heat source. The optimization results are quantitatively compared with the literature in terms of power generation and are shown to have substantially higher electricity generation.

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  • Lee, Ung & Mitsos, Alexander, 2017. "Optimal multicomponent working fluid of organic Rankine cycle for exergy transfer from liquefied natural gas regasification," Energy, Elsevier, vol. 127(C), pages 489-501.
    • Handle: RePEc:eee:energy:v:127:y:2017:i:c:p:489-501
    DOI: 10.1016/j.energy.2017.03.126
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    6. Sun, Zhixin & Xu, Fuquan & Wang, Shujia & Lai, Jianpeng & Lin, Kui, 2017. "Comparative study of Rankine cycle configurations utilizing LNG cold energy under different NG distribution pressures," Energy, Elsevier, vol. 139(C), pages 380-393.
    7. Manuel Naveiro & Manuel Romero Gómez & Ignacio Arias-Fernández & Álvaro Baaliña Insua, 2022. "Thermodynamic and Economic Analyses of Zero-Emission Open Loop Offshore Regasification Systems Integrating ORC with Zeotropic Mixtures and LNG Open Power Cycle," Energies, MDPI, vol. 15(22), pages 1-24, November.
    8. Xi, Huan & Zhang, Honghu & He, Ya-Ling & Huang, Zuohua, 2019. "Sensitivity analysis of operation parameters on the system performance of organic rankine cycle system using orthogonal experiment," Energy, Elsevier, vol. 172(C), pages 435-442.
    9. Schilling, J. & Entrup, M. & Hopp, M. & Gross, J. & Bardow, A., 2021. "Towards optimal mixtures of working fluids: Integrated design of processes and mixtures for Organic Rankine Cycles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    10. Han, Hui & Wang, Zihua & Wang, Cheng & Deng, Gonglin & Song, Chao & Jiang, Jie & Wang, Shaowei, 2019. "The study of a novel two-stage combined rankine cycle utilizing cold energy of liquefied natural gas," Energy, Elsevier, vol. 189(C).
    11. Bao, Junjiang & Lin, Yan & Zhang, Ruixiang & Zhang, Xiaopeng & Zhang, Ning & He, Gaohong, 2018. "Performance enhancement of two-stage condensation combined cycle for LNG cold energy recovery using zeotropic mixtures," Energy, Elsevier, vol. 157(C), pages 588-598.
    12. Huster, Wolfgang R. & Vaupel, Yannic & Mhamdi, Adel & Mitsos, Alexander, 2018. "Validated dynamic model of an organic Rankine cycle (ORC) for waste heat recovery in a diesel truck," Energy, Elsevier, vol. 151(C), pages 647-661.
    13. Vaupel, Yannic & Huster, Wolfgang R. & Mhamdi, Adel & Mitsos, Alexander, 2021. "Optimal operating policies for organic Rankine cycles for waste heat recovery under transient conditions," Energy, Elsevier, vol. 224(C).
    14. Han, Donggu & Tak, Kyungjae & Park, Jaedeuk & Lee, Ki Bong & Moon, Jong-Ho & Lee, Ung, 2023. "Impact of liquefaction ratio and cold energy recovery on liquefied natural gas production," Applied Energy, Elsevier, vol. 352(C).
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