Methodical thermodynamic analysis and regression models of organic Rankine cycle architectures for waste heat recovery

Lecompte, Steven; Huisseune, Henk; Broek, Martijn van den; Paepe, Michel De

doi:10.1016/j.energy.2015.04.094

Cited by 68 publications

(20 citation statements)

References 71 publications

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“…The net power output is reduced from 1130 kWe (Case 1) to 989 kWe which corresponds with a relative decrease of 12.6%. The higher net power output from a PEORC is also confirmed in literature; in these temperature ranges, the expected increase would be around 10% [58]. Again, care should be taken with these results, as the same pump and expander efficiencies are assumed for both the SCORC and PEORC cycle architectures.…”

Section: Simulation Results For the Five Investigated Casessupporting

confidence: 71%

“…Also, the decrease in net electricity output is low. This is a specific result which has been generalized in previous work [58]. If there is a restriction on the condenser temperature, alternative cycles like …”

Section: Comparison Of Cases With and Without Combined Heatingmentioning

confidence: 92%

“…The minimum evaporator pinch point temperature difference is varied in order to keep the flue gas temperature above 90 • C. The results of the simulations are summarized in Table 6. The modelling and optimization approach has been extensively described in previous work by the authors [58]. In this modeling scheme, the power input of the auxiliary equipment (fans, pumps of the cooling loop, etc.)…”

Section: Boundary Conditions and Modelmentioning

confidence: 99%

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Case Study of an Organic Rankine Cycle (ORC) for Waste Heat Recovery from an Electric Arc Furnace (EAF)

et al. 2017

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The organic Rankine cycle (ORC) is a mature technology for the conversion of waste heat to electricity. Although many energy intensive industries could benefit significantly from the integration of ORC technology, its current adoption rate is limited. One important reason for this arises from the difficulty of prospective investors and end-users to recognize and, ultimately, realise the potential energy savings from such deployment. In recent years, electric arc furnaces (EAF) have been identified as particularly interesting candidates for the implementation of waste heat recovery projects. Therefore, in this work, the integration of an ORC system into a 100 MWe EAF is investigated. The effect of evaluations based on averaged heat profiles, a steam buffer and optimized ORC architectures is investigated. The results show that it is crucial to take into account the heat profile variations for the typical batch process of an EAF. An optimized subcritical ORC system is found capable of generating a net electrical output of 752 kWe with a steam buffer working at 25 bar. If combined heating is considered, the ORC system can be optimized to generate 521 kWe of electricity, while also delivering 4.52 MW of heat. Finally, an increased power output (by 26% with combined heating, and by 39% without combined heating) can be achieved by using high temperature thermal oil for buffering instead of a steam loop; however, the use of thermal oil in these applications has been until now typically discouraged due to flammability concerns.

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Section: Simulation Results For the Five Investigated Casessupporting

confidence: 71%

Section: Comparison Of Cases With and Without Combined Heatingmentioning

confidence: 92%

Section: Boundary Conditions and Modelmentioning

confidence: 99%

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Case Study of an Organic Rankine Cycle (ORC) for Waste Heat Recovery from an Electric Arc Furnace (EAF)

et al. 2017

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“…The overall thermal efficiency, the exergy efficiency of heating and condensation, the system exergy efficiency of the designed SORC were all higher than a pure R134a subcritical ORC. Lecompte et al studied the cycle performance of 67 refrigerants for both subcritical ORC and transcritical ORC. Results showed that the transcritical ORC outperforms the subcritical ORC in second law efficiency by up to 10.8%.…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective optimization design of plate‐fin vapor generator for supercritical organic Rankine cycle

Zhu

Quan

et al. 2019

Int J Energy Res

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Summary Supercritical organic Rankine cycle (SORC) is an improved ORC architecture with lower exergy destruction and better heat source utilization when compared with a subcritical one. The accurate design of its vapor generator is of critical importance due to the fact that heat transfer performance significantly affects thermal efficiency, power output, and size of the overall system. This paper aims to develop a mathematical model of the SORC vapor generator using plate‐fin heat exchanger. The finite volume method is applied to deal with the properties' variation problem of the supercritical fluids. Multi‐objective optimization is employed by the nondominated sorting genetic algorithm II to find the optimum geometry design. The objective functions are the number of entropy production units, annual cost, and volume. For a specific SORC system, an optimum vapor generator is designed using the developed model. Parametric studies are conducted to assess the effect of geometry parameters on the vapor generator performance. The off‐design performance of the vapor generator is also evaluated under different mass flow rates and different heat source inlet temperature conditions.

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“…However, the benefits of the supercritical ORC are dependent on the types of heat, working fluids, operating conditions and cycle configuration used. Lecompt et al [7] showed that the second law efficiency of a supercritical cycle for low temperature waste heat recovery is 10.8% more than a subcritical cycle. Chen et al [8] showed that a supercritical ORC with a zeotropic mixture as the working fluid can improve the thermal efficiency by 10%-30% more than the subcritical ORC.…”

Section: Introductionmentioning

confidence: 99%

Modelling of Evaporator in Waste Heat Recovery System using Finite Volume Method and Fuzzy Technique

2015

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Abstract:The evaporator is an important component in the Organic Rankine Cycle (ORC)-based Waste Heat Recovery (WHR) system since the effective heat transfer of this device reflects on the efficiency of the system. When the WHR system operates under supercritical conditions, the heat transfer mechanism in the evaporator is unpredictable due to the change of thermo-physical properties of the fluid with temperature. Although the conventional finite volume model can successfully capture those changes in the evaporator of the WHR process, the computation time for this method is high. To reduce the computation time, this paper develops a new fuzzy based evaporator model and compares its performance with the finite volume method. The results show that the fuzzy technique can be applied to predict the output of the supercritical evaporator in the waste heat recovery system and can significantly reduce the required computation time. The proposed model, therefore, has the potential to be used in real time control applications.

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Methodical thermodynamic analysis and regression models of organic Rankine cycle architectures for waste heat recovery

Cited by 68 publications

References 71 publications

Case Study of an Organic Rankine Cycle (ORC) for Waste Heat Recovery from an Electric Arc Furnace (EAF)

Case Study of an Organic Rankine Cycle (ORC) for Waste Heat Recovery from an Electric Arc Furnace (EAF)

Multi‐objective optimization design of plate‐fin vapor generator for supercritical organic Rankine cycle

Modelling of Evaporator in Waste Heat Recovery System using Finite Volume Method and Fuzzy Technique

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