Multi-objective optimisation of ORC–LNG systems using the novel One-shot Optimisation method

Optimisation is drawing more and more attention in the organic Rankine cycle (ORC) research field. However, as the complexity of the ORC scenarios increases, it poses challenges on operational parameter, working fluid, and configuration optimisation levels. This work first proposes an improved optimisation method, termed the One-shot Optimisation (OSO) method, which can simultaneously optimise the working fluid and configuration. Then, a two-objective optimisation is performed using the OSO method in combined ORC–LNG systems, considering up to eight operational parameters, 11 working fluids, and 16 system configurations to maximise energy efficiency and minimise the electricity production cost (EPC). Finally, the result of the optimisation is divided according to the thermodynamic weight (W 1 ), and two typical conditions are analysed in detail: the maximum case (W 1 = 1) and the balanced case (W 1 = 0.5). The results show that the OSO method is capable of identifying the optimal working fluid and optimal configuration within a single optimisation process. The basic ORC configuration is preferred when W 1 is lower while the recuperative ORC is preferred when W 1 is higher. The balanced case can achieve an energy efficiency comparable to that of the maximum case but with a significantly lower EPC. The balanced case can achieve as much as 87. 48% of energy efficiency, requiring only 19.77% of the EPC compared to those of the maximum case. • The time complexity of the OSO method can greatly reduce the optimisation efforts. • 8 operational parameters are included as the optimisation variables. • 11 working fluids and 16 configurations are optimised within a single optimisation. • Two typical operating conditions are analysed and compared. • The balanced case can achieve 87.48% of the energy efficiency, requiring only 19.77% of the EPC.

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Publication Details

Journal
Energy
Published
2024-11-06
DOI
https://doi.org/10.1016/j.energy.2024.133629
Citations
3
Primary Topic
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
Type
article
Field-Weighted Citation Impact
0.64
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article

Multi-objective optimisation of ORC–LNG systems using the novel One-shot Optimisation method

Giovanna Cavazzini, Alberto Benato, Han Zhang
3 citations
Energy
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
0.64
article

Multi-objective optimisation of ORC–LNG systems using the novel One-shot Optimisation method

Giovanna Cavazzini, Alberto Benato, Han Zhang
article en
3 citations

Abstract

Optimisation is drawing more and more attention in the organic Rankine cycle (ORC) research field. However, as the complexity of the ORC scenarios increases, it poses challenges on operational parameter, working fluid, and configuration optimisation levels. This work first proposes an improved optimisation method, termed the One-shot Optimisation (OSO) method, which can simultaneously optimise the working fluid and configuration. Then, a two-objective optimisation is performed using the OSO method in combined ORC–LNG systems, considering up to eight operational parameters, 11 working fluids, and 16 system configurations to maximise energy efficiency and minimise the electricity production cost (EPC). Finally, the result of the optimisation is divided according to the thermodynamic weight (W 1 ), and two typical conditions are analysed in detail: the maximum case (W 1 = 1) and the balanced case (W 1 = 0.5). The results show that the OSO method is capable of identifying the optimal working fluid and optimal configuration within a single optimisation process. The basic ORC configuration is preferred when W 1 is lower while the recuperative ORC is preferred when W 1 is higher. The balanced case can achieve an energy efficiency comparable to that of the maximum case but with a significantly lower EPC. The balanced case can achieve as much as 87. 48% of energy efficiency, requiring only 19.77% of the EPC compared to those of the maximum case. • The time complexity of the OSO method can greatly reduce the optimisation efforts. • 8 operational parameters are included as the optimisation variables. • 11 working fluids and 16 configurations are optimised within a single optimisation. • Two typical operating conditions are analysed and compared. • The balanced case can achieve 87.48% of the energy efficiency, requiring only 19.77% of the EPC.

EnergyVol. 313
University of Padua (IT)
Openalex Percentile: Top 35%
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
0.64
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