Estimation of operating parameters of a reheat regenerative power cycle using simplex search and differential evolution based inverse methods

Gogoi, T.K.; Pandey, Mayank; Das, Ranjan

doi:10.1016/j.enconman.2014.11.046

Cited by 22 publications

(2 citation statements)

References 39 publications

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“…There are a lot of different optimization methods which could be applied to power cycles [40]. Among them, one can highlight the simplex method, differential evolution and the dragonfly algorithm, which were already implemented in the literature [41][42][43]. However, the use of these methods is justified when there are a number of variables.…”

Section: Modeling Methodsmentioning

confidence: 99%

Thermodynamic Optimization of Low-Temperature Cycles for the Power Industry

Kindra

Rogalev

et al. 2022

Energies

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The fuel price increase and severe environmental regulations determine energy-saving importance. Useful utilization of low-potential heat sources with 300–400 °С temperature becomes topical. The application of low-temperature power production facilities operating low-boiling heat carriers could be a solution to this problem. A comparative parametric study of a number of heat carriers resulted in a choice of the most promising fluids that are not expensive, have low toxicity and flammability, low ozone depletion and low global warming potential. These heat carriers are considered for application in simple power production cycles with and without regeneration. The main parameters were optimized at the initial temperatures of 323.15–623.15 K. The cycle without regeneration has a maximal net efficiency of 29.34% using the water at an initial temperature of 623.15 K. The regenerative cycle at a temperature below 490 K has its maximal efficiency using a water heat carrier, and at a higher temperature above 490 K with R236ea. The cycle with R236ea at 623.15 K has an electrical net efficiency of 33.30%. Using a water heat carrier, the maximal efficiency can be reached at pressures below 5 MPa for both cycles. Among the organic heat carriers, the minimal optimal initial pressure of a simple cycle is reached with the R236ea heat carrier below 45 MPa without regeneration and below 15 MPa with regeneration. Therefore when utilizing the latent heat with temperatures above 500 K R134a, R236ea and R124 are the most promising organic fluids. Such conditions could be obtained using different industrial sources with water condensation at elevated pressures.

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Section: Modeling Methodsmentioning

confidence: 99%

Thermodynamic Optimization of Low-Temperature Cycles for the Power Industry

Kindra

Rogalev

et al. 2022

Energies

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“…Storn and Price [12] developed the DE which immediately gained popularity as a robust evolutionary algorithm. DE has been widely applied to the optimization problems [5,[13][14][15]. Throughout the years, DE has been used extensively for optimization problems, many results of which are the best compared to other standard methodologies.…”

Section: Introductionmentioning

confidence: 99%

A Case Study of Power Economic Emission Dispatch Using an Integrated Algorithm

Chiang¹

2017

dteees

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Abstract. This paper presents an integrated algorithm of power economic dispatch problem aiming to manage emissions for generating units of power systems. Differential evolution (DE) can efficiently search and actively explore solutions. The multiplier updating (MU) is introduced to avoid deforming the augmented Lagrange function and resulting in difficulty to solution searching. To handle the constrained optimal problem (COP), the ε-constraint technique is employed. The proposed approach integrates the ε-constraint technique, the DE, and the MU. The proposed method (DE-MU) has the merit of automatically adjusting the randomly given penalty to a proper value and requiring only a small-size population. Numerical results indicate that the proposed approach is superior to previous methods in solution quality.

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Performance Analysis of a Regenerative Rankine Cycle with Emphasis on Component Level Design

Goswami,

Gogoi

2024

Lecture Notes in Mechanical Engineering

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Estimation of operating parameters of a reheat regenerative power cycle using simplex search and differential evolution based inverse methods

Cited by 22 publications

References 39 publications

Thermodynamic Optimization of Low-Temperature Cycles for the Power Industry

Thermodynamic Optimization of Low-Temperature Cycles for the Power Industry

A Case Study of Power Economic Emission Dispatch Using an Integrated Algorithm

Performance Analysis of a Regenerative Rankine Cycle with Emphasis on Component Level Design

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