Energy and exergy analysis and optimization of a gas turbine cycle coupled by a bottoming organic Rankine cycle

Ahmadi, Behrooz; Golneshan, Ali Akbar; Arasteh, Hossein; Karimipour, Arash; Bach, Quang‐Vu

doi:10.1007/s10973-019-09088-6

Cited by 31 publications

(9 citation statements)

References 93 publications

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“…The present article reported the experimental evaluation of grinding approach and produced the surface and subsurface damages of optical glass BK7 by applying the cup diamond device for the first time [23][24][25][26][27][28][29][30]. The following achievements could be presented:…”

Section: Discussionmentioning

confidence: 94%

A new monitor model to detect damages in surface and subsurface during cup grinding process of BK7 optical glass: a new optimization model for energy damage

Barahimi

Farahnakian

et al. 2020

J Therm Anal Calorim

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Grinding is known as the most widely used method of forming borosilicate optical glass (BK7). Due to the brittle nature of the BK7 glass, the predominant mechanism of material removal will be fracture. So, the surface under grinding will have surface (surface roughness) and subsurface damage. These damages will cause a decrease in mechanical resistance and performance. Modeling of surface and subsurface damages due to the grinding process using cup grinding tool has not been subjected in recent investigations. To do this, the surface roughness effects are investigated by changes in grinding parameters such as cutting speed, feed rate, cutting depth and table speed. Moreover, based on the experiments, the relationship between surface roughness and grinding parameters is simulated and the average error was 5.77%. In the second phase of the experiments, angular polishing method is used and subsurface morphologies are investigated by SEM and the depths of these damages are measured. Experimental results are compared with that of the Li theoretical model. Based on the results, the experimental and theoretical results have well consistency. In the end, based on the Li model, a new model based on the relationship between subsurface damage and grinding parameters is conducted.

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Section: Discussionmentioning

confidence: 94%

A new monitor model to detect damages in surface and subsurface during cup grinding process of BK7 optical glass: a new optimization model for energy damage

Barahimi

Farahnakian

et al. 2020

J Therm Anal Calorim

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“…The exergy of fuel ( ) and specific exergy of engine exhaust gas ( ) can be calculated from equations below [ 16 , 27 , 39 ]: where h, c, o, s, LHV, and are mass fractions of hydrogen, carbon, oxygen, sulfur contents, lower heating value of fuel, physical and chemical specific exergy of exhaust gas at stream 4, respectively. The expressions for calculation of physical and chemical exergies are: …”

Section: Methodsmentioning

confidence: 99%

“…The exergy destruction expressions for the main components of the system are presented in Table 4. The exergy of fuel ( e f ) and specific exergy of engine exhaust gas ( e 4 ) can be calculated from equations below [16,27,39]: where T c and Q c are the average temperature of the engine coolant and the rate of heat transfer to it, respectively. The reference condition for exergy analysis and the mole fraction of the air components in the environment are provided in Tables 5 and 6.…”

Section: Exergy Analysismentioning

confidence: 99%

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Energy and exergy analysis of a novel turbo-compounding system for supercharging and mild hybridization of a gasoline engine

Salek

Babaie

Ghodsi

et al. 2020

J Therm Anal Calorim

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Number of hybrid vehicles has increased around the world significantly. Automotive industry is utilizing the hybridization of the powertrain system to achieve better fuel economic and emissions reduction. One of the options recently considered in research for hybridization and downsizing of vehicles is to employ waste heat recovery systems. In this paper, the addition of a turbo-compound system with an air Brayton cycle (ABC) to a naturally aspirated engine was studied in AVL BOOST software. In addition, a supercharger was modeled to charge extra air into the engine and ABC. The engine was first validated against the experimental data prior to turbo-compounding. The energy and exergy analysis was performed to understand the effects of the proposed design at engine rated speed. Results showed that between 16 and 18% increase in engine mechanical power can be achieved by adding turbo-compressor. Furthermore, the recommended ABC system can recover up to 1.1 kW extra electrical power from the engine exhaust energy. The energy and exergy efficiencies were both improved slightly by turbo-compounding and BSFC reduced by nearly 1% with the proposed system. Furthermore, installing the proposed system resulted in increase in backpressure up to approximately 23.8 kPa.

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“…The heat output from the gas turbine has the potential to be reused in power generation cycles with low capacity 4,5 . Ahmadi et al 6 used the flue gas therm from the gas turbine as a heat provenance to generate exponent with ORC. The results of this study show that dimethyl carbonate working fluid has the greatest energy yield and exergy among other working fluids.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of a novel hybrid solar tower‐gas turbine combined cycle with proton exchange membrane polygeneration system: Application of machine learning

Manesh

Abbasi

Mehrabian

2022

Env Prog and Sustain Energy

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An innovative polygeneration system is proposed to generate power, heat, hydrogen, and oxygen simultaneously. The system integrates a solar central tower system and the heliostat field, a gas turbine cycle, a supercritical carbon dioxide cycle, an Organic Rankine Cycle with a cyclopentane working fluid, and a Rankine steam cycle, and a Proton Exchange Membrane electrolyzer. In this study, to reduce the gas cycle fuel consumption, the solar tower system is integrated with the gas cycle. In the studied system, a Supercritical Carbon Dioxide cycle and an Organic Rankine Cycle have been used to heat recovery of the exhaust gases of the gas turbine. In addition, Energy, Exergy, Exergoeconomic, Exergoenvironmental, Emergoeconomic, and Emergoenvironmental analyses have been performed for this system hour by hour. A computer code was developed in MATLAB for these analyses, and the results are validated by simulation in Thermoflex software and primary references with high accuracy. A systematic approach based on thermodynamic analysis and a combination of Genetic Programming and Artificial Neural Networks is proposed for optimal design. Multi-Objective Genetic Optimization has been employed to find optimum design parameters. Due to the reduction of computation time of optimization, the integration of Genetic Programming and Artificial Neural networks have been employed to generate correlations for objective functions based on the decision variables. By adding the solar system, the mass flow rate of natural gas consumption in the gas cycle decreases by about 9% and reaches 1.53 kg/s. Utilizing solar energy and the Rankine steam cycle, the production capacity of the considered cycle increases from 43 to 66 MW. Also, the performance analysis of the Proton Exchange Membrane electrolyzer and the primary cycle shows that this equipment can produce 0.01 g/s of hydrogen from 5 g/s of water entering the equipment per second by consuming 2.33 kW of power. The results show that when the decision variables are considered at the optimal performance point, the exergy efficiency, the total cost, the rate of destruction related to environmental impacts, cost based on emergy, and the rate of destruction environmental effects based on energy improve. The highest percentage of improvement among the objective functions compared to the initial

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Energy and exergy analysis and optimization of a gas turbine cycle coupled by a bottoming organic Rankine cycle

Cited by 31 publications

References 93 publications

A new monitor model to detect damages in surface and subsurface during cup grinding process of BK7 optical glass: a new optimization model for energy damage

A new monitor model to detect damages in surface and subsurface during cup grinding process of BK7 optical glass: a new optimization model for energy damage

Energy and exergy analysis of a novel turbo-compounding system for supercharging and mild hybridization of a gasoline engine

Optimal design of a novel hybrid solar tower‐gas turbine combined cycle with proton exchange membrane polygeneration system: Application of machine learning

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