Modelling of a novel power-generating cycle for the utilization of the cold exergy of liquid natural gas with the adjustable parameters of working fluid

Cholewiński, Maciej

doi:10.1016/j.enconman.2019.112178

Cited by 18 publications

(3 citation statements)

References 69 publications

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“…In the next step, the thermodynamic and heat transfer analyses are conducted to determine the ORC performance indicators including the exergy efficiency η ex and total heat transfer area A tot . The η ex is calculated as [38]:…”

Section: Bi-objective Optimizationmentioning

confidence: 99%

Development of Decision-Making Tool and Pareto Set Analysis for Bi-Objective Optimization of an ORC Power Plant

2020

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Power plants based on organic Rankine cycle (ORC) are known for their capacity in converting low and medium-temperature energy sources to electricity. To find the optimal operating conditions, a designer must evaluate the ORC from different perspectives including thermodynamic performance, technological limits, economic viability, and environmental impact. A popular approach to include different criteria simultaneously is to formulate a bi-objective optimization problem. This type of multi-objective optimization (MOO) allows for finding a set of optimal design points by defining two different objectives. Once the optimization is completed, the decision-making analysis shall be carried out to identify the final design solution. This study aims to develop a decision-making tool for facilitating the choice of the optimal design point. The proposed procedure is coded in MATLAB based on the commonly used Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). By providing the capability to graphically identify the decisions taken, the tool developed in the study is called Tracking and Recognizing Alternative Design Solutions (TRADeS). Analysis of our data shows that certain regions of Pareto set points should be excluded from the design space. It was noted that in these regions a high rate at which one of the objectives moves away from its ideal value coincides with a low rate at which the second criterion approaches its ideal solution. Hence, it was recommended that the criteria weights corresponding to excluded regions of the Pareto set should be discarded when selecting the final design point. By comparing the results obtained using the proposed model to those of existing decision-making techniques, it was concluded that while the known approaches are appropriate for an easy and fast selection of the final design point, the presented procedure allows for a more comprehensive and well-rounded design. It was shown that our design tool can be successfully applied in the decision-making analysis for problems that aim at optimizing the ORC using two design criteria. Finally, the proposed software benefits from a generic structure and is easy to implement which will facilitate its use in other industrial applications.

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Section: Bi-objective Optimizationmentioning

confidence: 99%

Development of Decision-Making Tool and Pareto Set Analysis for Bi-Objective Optimization of an ORC Power Plant

2020

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“…The results indicated that the optimal compositions of the mixed working fluids in ORC-1 (ethane: 23.73%, ethylene: 15.01%, R134a: 20.17%, and R152a: 41.09%) and ORC-2 (ethylene: 60.14%, R134a: 38.73%, R1270: 0.54%, and R134a: 0.59%) were distinctive. Tomkoẃ et al 38 separated the ethane−krypton mixture into multiple streams with different component ratios and mass flows through a separator to adjust the process parameters, and the total exergy efficiency of the system increased from 10 to 19.3%. It can be seen from the above-mentioned literature that the composition of the mixture working fluids has an important impact on the performance of the ORC system, and the required optimal composition is different under variable working conditions.…”

Section: ■ Introductionmentioning

confidence: 99%

Thermodynamic Optimization of a Composition-Tunable Zeotropic ORC Using LNG Cold Energy as a Heat Sink

Chen

et al. 2022

ACS Sustainable Chem. Eng.

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The organic Rankine cycle (ORC) is a promising power generation cycle to fully utilize the cold energy of liquid natural gas (LNG). ORC is usually operated under variable working conditions, and the operation performance is significantly worse than under design conditions. In this paper, a novel composition-tunable zeotropic ORC using LNG cold energybased liquid-separation condenser is proposed and a thermodynamic optimization model is formulated. A case study is then conducted to validate the superiority of the proposed ORC and analyze the important operation parameters to explore the reasons for the performance advantages of the novel system. The results show that the novel ORC has a higher evaporation temperature, lower condensation temperature, lower condensation pressure, and lower pinch point temperature difference than the basic ORC. The exergy loss of the condenser is reduced, and the exergy efficiency is improved. The novel ORC features 2.86% higher annual average net power output, 2.47% higher annual average thermal efficiency, 2.85% higher annual utilization efficiency of cold energy, and 2.76% higher annual exergy efficiency of cold energy recovery than the basic ORC.

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“…Compared with the combined cycle in the conventional LNG cold energy power generation method, the net power output, thermal efficiency, and exergy efficiency of this new system are, respectively, increased by 45.27%, 42.91%, and 52.31%. Tomków et al 25 proposed a novel multi-stage power generation cycle using ethanekrypton binary mixture as working fluid. Their numerical simulations show that exergy efficiency can be raised to 19.3% and obtained thermal efficiency of 10.4%.…”

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confidence: 99%

Experimental study on power generation plant of a 1 kW small‐scale Organic Rankine Cycle system using R290

Wang

Gao

et al. 2022

Energy Science & Engineering

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Currently, the global warming effect has been approved worldwide, and the greenhouse gas emissions from conventional power generation plant have caused more and more concerns. 1 The natural gas, as a clean energy, which has a characteristic of high calorific value and less greenhouse gas emission when it is burned as a fossil fuel. 2,3 The best way to storage and long-distance transportation across ocean of the natural gas is usually liquefied into liquefied natural gas (LNG) at a temperature of approximately −162 and atmospheric pressure, 4,5 which can increase the energy density and easy for transport. However, LNG must be gasified into natural gas at ambient temperature in LNG terminals prior to use. 6 The regasification process of LNG will release a lot of 830 KJ/Kg cold energy by absorbing heat from the seawater, 7 air, and industry waste heat in the LNG terminals, which will not

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Modelling of a novel power-generating cycle for the utilization of the cold exergy of liquid natural gas with the adjustable parameters of working fluid

Cited by 18 publications

References 69 publications

Development of Decision-Making Tool and Pareto Set Analysis for Bi-Objective Optimization of an ORC Power Plant

Development of Decision-Making Tool and Pareto Set Analysis for Bi-Objective Optimization of an ORC Power Plant

Thermodynamic Optimization of a Composition-Tunable Zeotropic ORC Using LNG Cold Energy as a Heat Sink

Experimental study on power generation plant of a 1 kW small‐scale Organic Rankine Cycle system using R290

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