Mathematical modelling and optimization of the liquid separation condenser used in organic Rankine cycle

Luo, Xianglong; Yi, Zhitong; Zhang, Bingjian; Mo, Songping; Wang, Chao; Song, Mengjie; Chen, Ying

doi:10.1016/j.apenergy.2015.12.073

Cited by 43 publications

(5 citation statements)

References 40 publications

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“…In paper [47], a liquid separation condenser (LSC), a newly developed fin-and-tube condenser, was introduced in the organic Rankine cycle (ORC), featuring relatively low pressure drop without reducing heat transfer coefficient. A mathematical model containing multiple continuous and discrete variables for the optimal design of LSC is developed.…”

Section: Advanced Conversion Technologiesmentioning

confidence: 99%

Clean, efficient and affordable energy for a sustainable future

et al. 2017

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Section: Advanced Conversion Technologiesmentioning

confidence: 99%

Clean, efficient and affordable energy for a sustainable future

et al. 2017

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“…Moreover, plenty of research findings have shown that, compared to conventional heat exchanger, the liquid-separation condenser can achieve an increase in the heat transfer coefficient while reducing the pressure drop [66]. Furthermore, the thermal performance and thermal-economic performance can also be effectively enhanced by using a liquid-separation condenser, including refrigeration systems [67], heat pump systems [68], ORC [69] as well as heat pump water heater (HPWH) [70]. The application of liquid-separation condensation technology to ORC using zeotropic mixture working fluid R600/R601a was investigated by Li et al [10].…”

Section: Liquid-separation Condensermentioning

confidence: 99%

Enhancing Thermal Performance of Thermodynamic Cycle through Zeotropic Mixture Composition Regulation: An Overview

Huang,

Xu,

Deng

et al. 2024

Energies

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Composition regulation of zeotropic mixture working fluid for a thermodynamic cycle is an effective way to improve energy conversion efficiency, which offers the potential to construct efficient, flexible and intelligent cycles. Current research on cycle construction of zeotropic mixture composition regulation still heavily relies on construction methods using pure working fluids, where the characteristics of flexible composition variations fail to be utilized. In this paper, the research progress of cycle construction methods and composition regulated structures are comprehensively reviewed, aiming to clarify the potential for enhancing a thermodynamic cycle based on composition regulation. The characteristics of different cycle construction methods are firstly summarized and compared. Then, the composition-regulated structures of a physical-based method and chemical-based method are introduced, and the composition regulation performance are also concluded. Finally, a future outlook on the cycle design and structure design is provided. The review results show that the combination of 3D construction method and superstructure/intelligences construction method has the potential to maximize the cycle performance, where the improvement of each thermal process and the optimization of complex cycles can be considered simultaneously. The composition regulation based on a passive physical method has the advantage of being readily applicable; however, the composition regulation range is limited. In addition, the distillation and hydrate method have a wider regulation range through extra energy input, where the trade-off between energy consumption and cycle performance improvement should be considered in the future. This study greatly assists in the design of thermodynamic cycles involving zeotropic mixture composition regulation and the corresponding composition regulation structures.

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“…ORC power generation is regarded as a technology that utilizes low and medium grade energy effectively [4]. ORC with advantages of stability simplicity and flexibility compared to other low and medium grade energy conversion technologies [5]. The double-pressure ORC system is a concept that has just recently emerged in application of ORC [6].…”

Section: Introductionmentioning

confidence: 99%