Exergoeconomic investigation and multi-objective optimization of different ORC configurations for waste heat recovery: A comparative study

Nondy, J.; Gogoi, T.K.

doi:10.1016/j.enconman.2021.114593

Cited by 97 publications

(18 citation statements)

References 35 publications

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“…Based on economic and technical considerations, superheating is required in wet fluids to prevent the formation of droplets in the expander, 49 which makes the cycle costly; consequently, isentropic and dry fluids are recommended in ORC. [50][51][52] Therefore, all investigated fluids in the study are classified as dry or isentropic, which was one reason for selecting these working fluids. In addition, they have favorable thermal physical properties such as boiling point temperature, critical temperature, and critical pressure.…”

Section: Working Fluids Selectionmentioning

confidence: 99%

“…However, in the T‐s diagram, the slope of the saturation vapor curve might be positive, negative, or vertical, which refers to the state of working fluids wet, dry, or isentropic, respectively. Based on economic and technical considerations, superheating is required in wet fluids to prevent the formation of droplets in the expander, 49 which makes the cycle costly; consequently, isentropic and dry fluids are recommended in ORC 50–52 . Therefore, all investigated fluids in the study are classified as dry or isentropic, which was one reason for selecting these working fluids.…”

Section: System Descriptionmentioning

confidence: 99%

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Assessment of the thermal efficiency of subcritical power generation cycles using environmentally friendly fluids at various heat source temperatures

Ahmed

2022

Energy Science & Engineering

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This study aims to investigate the effect of the various heat source temperature (T max ) on thermal efficiency (η th ) for the organic rankine cycle (ORC), trilateral flash cycle (TFC), and partial evaporator (PE-ORC). For this purpose, HFE7000, HFE7100, and HFE7500 were used as working fluids (WFs). The results indicate that by using HFE7000, the maximum η th was obtained for all used power cycles and temperature ranges. Compared to HFE7100, HFE7500 has higher η th at TFC, and PE-ORC at low T max , while HFE7100 has the maximum value at high T max . The η th at T max = 353 K for TFC were 8.71%, 8.34%, and 8.59%, while for ORC 12.38%, 11.82%, and 11.71% for HFE7000, HFE7100, and HFE7500, respectively. At T max = 423 K for TFC were 17.65%, 16.26%, and 16.52%, while for ORC were 18.56%, 17.38%, and 16.59% for HFE7000, HFE7100, and HFE7500, respectively. The η th results indicate that the maximum improvement at TFC by using HFE7000, and the minimum was at HFE7100, while for ORC, the maximum was at HFE7000, and the minimum was at HFE7500. Therefore, the HFE7000 fluid behaves as normal dry fluids at any used temperature, while HFE7100 as normal dry WFs at low T max while behaving as very dry WFs at T max extremely close to its T cr . HFE7500 behaves as very dry working fluids. The η th intersections temperature was at T max = 425.2 K and T max = 455.9 K for HFE7500 and HFE7100, respectively. However, there is no η th intersection for HFE7000.

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Section: Working Fluids Selectionmentioning

confidence: 99%

Section: System Descriptionmentioning

confidence: 99%

Assessment of the thermal efficiency of subcritical power generation cycles using environmentally friendly fluids at various heat source temperatures

Ahmed

2022

Energy Science & Engineering

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“…For each target, the ideal and non-ideal solutions are determined as the best case and the worst case. Then, the distance between each evaluation objective and the ideal and non-ideal solutions is calculated as follows [ 29 ],

…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Therefore, both the simple and the regenerative topologies should be investigated in the earliest stages of the design process. Nondy and Gogoi [ 29 ] presented the multi-objective optimization to compare different ORC configurations for waste heat recovery by the Pareto Envelope-based Selection Algorithm-II (PESA-II). The Regenerative Recuperative ORC was suggested as it shows 16.19% and 15.33% higher net power and exergy efficiency compared to the BORC, while the system cost rate is 1.68% low.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of the Basic and Regenerative ORC Integrated with Working Fluid Selection

Zhou

Ruan

Hong

et al. 2022

Entropy

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A multi-objective optimization based on the non-dominated sorting genetic algorithm (NSGA-II) is carried out in the present work for the basic organic Rankine cycle (BORC) and regenerative ORC (RORC) systems. The selection of working fluids is integrated into multi-objective optimization by parameterizing the pure working fluids into a two-dimensional array. Two sets of decision indicators, exergy efficiency vs. thermal efficiency and exergy efficiency vs. levelized energy cost (LEC), are adopted and examined. Five decision variables including the turbine inlet temperature, vapor superheat degree, the evaporator and condenser pinch temperature differences, and the mass fraction of the mixture are optimized. It is found that the turbine inlet temperature is the most effective factor for both the BORC and RORC systems. Compared to the reverse variation of exergy efficiency and thermal efficiency, only a weak conflict exists between the exergy efficiency and LEC which tends to make the binary objective optimization be a single objective optimization. The RORC provides higher thermal efficiency than BORC at the same exergy efficiency while the LEC of RORC also becomes higher because the bare module cost of buying one more heat exchange is higher than the cost reduction due to the reduced heat transfer area. Under the heat source temperature of 423.15 K, the final obtained exergy and thermal efficiencies are 45.6% and 16.6% for BORC, and 38.6% and 20.7% for RORC, respectively.

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“…The Organic Rankine Cycle (ORC) technology can recover waste heat and generate electricity with low-grade heat sources. A wide range of researches are carried out about ORC technologies, covering working fluids [3], operating parameters [4,5], system configurations [6,7] and device design [8,9]. Barse et al [10] developed an ORC model using HYSYS simulator, by studying 12 kinds if organic working fluids.…”

Section: Introductionmentioning

confidence: 99%

Optimization Study on Regenerative Organic Rankine Cycle (ORC) with Heat Source of Low-Grade Steam

Wang¹,

Yan²,

Zhu³

et al. 2022

Energy Engineering

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Aiming at improving the performance of Organic Rankine Cycle (ORC) system with low-grade steam as heat source, this work studied and optimized the main operating parameters of the ORC system. The effects of evaporation temperature, superheat degree, condensation temperature and regenerator pinch temperature difference on the system performance were obtained. The optimization for the operating parameters is based on the indicators of specific net power output, waste heat pollution, cycle exergy efficiency, and total UA value (the product of overall heat transfer coefficient and heat transfer area of heat exchanger). The results show that the increase of the evaporation temperature and the superheat degree, and the decrease of the condensation temperature and regenerator pinch temperature difference can improve general system performance but lead to weaker economic performance. The optimal evaporation temperature, superheat degree, condensation temperature and regenerator pinch temperature difference are determined as 139°C, 4°C, 36°C and 8°C, respectively, reaching net power output of 114.73 kW, exergy efficiency of 37.10%. Besides, it is indicated that the regenerative ORC system can reach 13.6% additional net power output compared to the ORC system without the regenerator.

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Exergoeconomic investigation and multi-objective optimization of different ORC configurations for waste heat recovery: A comparative study

Cited by 97 publications

References 35 publications

Assessment of the thermal efficiency of subcritical power generation cycles using environmentally friendly fluids at various heat source temperatures

Assessment of the thermal efficiency of subcritical power generation cycles using environmentally friendly fluids at various heat source temperatures

Multi-Objective Optimization of the Basic and Regenerative ORC Integrated with Working Fluid Selection

Optimization Study on Regenerative Organic Rankine Cycle (ORC) with Heat Source of Low-Grade Steam

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