Geothermal power plants with maximized specific power output: Optimal working fluid and operating conditions of subcritical and transcritical Organic Rankine Cycles

Chagnon-Lessard, Noémie; Mathieu-Potvin, François; Gosselin, Louis

doi:10.1016/j.geothermics.2016.04.002

Cited by 43 publications

(15 citation statements)

References 27 publications

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“…In fact, the selection of working fluid must be integrated into ORC configuration, performance index and the parameter optimization. The best performance working fluid and optimal working condition differ when the ORC configuration or performance index was different for geothermal power generation [11][12][13]. In spite of several cycle configurations with high performance such as supercritical, dual pressure have been proposed, basic subcritical ORC system is universally adopted in many state-of-the-art lowgrade heat recovery applications due to its allowable working pressure and system compactness.…”

Section: Introductionmentioning

confidence: 99%

Performance optimization of low-temperature geothermal organic Rankine cycles using axial turbine isentropic efficiency correlation

Zhang

Kang

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

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Present study deals with parametric optimization and performance evaluation of an air-cooled organic Rankine system for the low-temperature geothermal source, especially considering the effects of turbine isentropic efficiency. Turbine isentropic efficiency is predicted with turbine size parameter and volume ratio, using the well-known correlation for singlestage axial turbine. Optimal performances with the objective of maximizing system exergy efficiency are compared with the common used working fluid R245fa and two environmental friendly working fluids R1234ze(E) and R1234ze(Z). Highest turbine isentropic efficiency is achieved for working fluid R1234ze(Z). The optimal turbine inlet vapor is overheating for Working fluid R1234ze(E) with the limitation of allowable minimum geothermal brine reinjection temperature. Due to the influence of turbine isentropic efficiency, optimal system exergy efficiency for working fluid R1234ze(E) is 0.4576 for the 100 kg/s geothermal source, which is slightly higher than the value of 0.4487 for the 10 kg/s geothermal source.

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Section: Introductionmentioning

confidence: 99%

Performance optimization of low-temperature geothermal organic Rankine cycles using axial turbine isentropic efficiency correlation

Zhang

Kang

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

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“…In 2016 Noé mie Chagnon-Lessard et al [22] demonstrated the optimization of Organic Rankine Cycle by means of numerical simulations. Optimization was performed with subcritical and transcritical thermodynamic cycles that maximizes the specific power output.…”

Section: Literature Reviewmentioning

confidence: 99%

An effective krill herd based optimal NN for parameter evaluation in Shell-And-Tube heat exchangers

Roy¹,

Majumder²

2018

IJHT

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Helical baffles are employed increasingly in shell-and-tube heat exchangers for their significant advantages in reducing pressure drop, vibration, and fouling while maintaining a higher heat transfer performance. In order to make good use of helical baffles, serial improvements have been made by many researchers. In this paper create model of optimal NN for prediction analysis in parameters compared to existing works. This hidden layer and neuron optimization process fish asked KHO technique used. For more verification, KHO is applied to six design problems reported in the literature. Further, the performance of the KH algorithm is compared with that of various algorithms representative of the state-of-the-art in the area. The results of different algorithms are breaking down and stood out from comparative systems, and the finest results rising out of them are discovered by standing out the results from least MSE values. From the results our proposed method achieves minimum MSE compared to existing works and maximum prediction accuracy in optimization model.

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“…The most frequently used are Genetic Algorithm (GA) [28,29] and the methods involving soft-computing [30,31]. Some works can be found also utilising other optimisation techniques such as Monte Carlo simulations [32], the sequential quadratic programming method [33], particle swarm optimisation [34,35], methods allowing the yielding of a set of Pareto frontiers, multi-objective optimisation [36] and the optimisation procedures available in the MATLAB Optimization Toolbox [37].…”

Section: Introductionmentioning

confidence: 99%

Power Plant Optimisation—Effective Use of the Nelder-Mead Approach

et al. 2020

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This paper demonstrates the use of a combined software package including IPSEpro and MATLAB in the optimisation of a modern thermal cycle. A 900 MW power plant unit (operating at ultra-supercritical conditions) was considered as the study object. The Nelder-Mead simplex-based, direct search method was used to increase power plant efficiency and to find the optimal thermal cycle configuration. As the literature reveals, the Nelder-Mead approach is very sensitive to the simplex size and to the choice of method coefficients, i.e., reflection, expansion and contraction. When these coefficients are improperly chosen, the finding of the optimal solution cannot be guaranteed, particularly in such complex systems as thermal cycles. Hence, the main goal of the present work was to demonstrate the capability of an integrated software package including IPSEpro, MATLAB and MS Excel in the optimisation process of a complex thermal cycle, as well as to examine the effectiveness of the most popular sets of Nelder-Mead coefficients previously proposed by other researchers. For the investigation purposes, the bleed and outlet pressures from the turbines were considered as decision variables, and the power plant efficiency was used as an objective function.

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Geothermal power plants with maximized specific power output: Optimal working fluid and operating conditions of subcritical and transcritical Organic Rankine Cycles

Cited by 43 publications

References 27 publications

Performance optimization of low-temperature geothermal organic Rankine cycles using axial turbine isentropic efficiency correlation

Performance optimization of low-temperature geothermal organic Rankine cycles using axial turbine isentropic efficiency correlation

An effective krill herd based optimal NN for parameter evaluation in Shell-And-Tube heat exchangers

Power Plant Optimisation—Effective Use of the Nelder-Mead Approach

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