A methodology of computation, design and optimization of solar Stirling power plant using hydrogen/oxygen fuel cells

Petrescu, Stoian; Petre, Camelia; Costea, Monica; Malancioiu, Octavian; Boriaru, Nicolae; Dobrovicescu, Alexandru; Feidt, Michel; Harman, Charles M.

doi:10.1016/j.energy.2009.10.036

Cited by 53 publications

(18 citation statements)

References 21 publications

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“…The model presented here directly associates the irreversibilities to the operation of the cycle at finite speed. On the basis of the entropy generation techniques, for the studying of Stirling engine cycle performance, Costea et al [48,49] have included the impacts of heat transfers, imperfect heat regeneration and irreversibilities of the cycle including pressure loss associated with the finite speed of the piston and Displacer throughout processes as gas passes through the regenerator, heater and cooler, and finally mechanical friction due to the motion of the moving parts.…”

Section: Introductionmentioning

confidence: 99%

Application of the multi-objective optimization method for designing a powered Stirling heat engine: Design with maximized power, thermal efficiency and minimized pressure loss

Ahmadi¹,

Hosseinzade²,

Sayyaadi³

et al. 2013

Renewable Energy

195

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a b s t r a c tIn the recent years, numerous studies have been done on Stirling cycle and Stirling engine which have been resulted in different output power and engine thermal efficiency analyses. Finite speed thermodynamic analysis is one of the most prominent ways which considers external irreversibilities. In the present study, output power and engine thermal efficiency are optimized and total pressure losses are minimized using NSGA algorithm and finite speed thermodynamic analysis. The results are successfully verified against experimental data.

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Section: Introductionmentioning

confidence: 99%

Application of the multi-objective optimization method for designing a powered Stirling heat engine: Design with maximized power, thermal efficiency and minimized pressure loss

Ahmadi¹,

Hosseinzade²,

Sayyaadi³

et al. 2013

Renewable Energy

195

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“…For 12 of the most performing Stirling engines (working in 16 regimes of operation) [22,29,30], for 4 (the most performing) solar Stirling engines [32][33][34], and for a refrigeration Stirling machine [41], the authors have validated the developed schemes of computation based on the Direct Method.…”

Section: The Direct Methods From Finite Speed Thermodynamics (Fst)mentioning

confidence: 99%

Study of a Stirling engine used for domestic micro-cogeneration. Thermodynamic analysis and experiment

Grosu

Dobre

Petrescu

2015

Int. J. Energy Res.

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SUMMARYOne of the aims of this work is the study of the geometry of a micro-cogenerator using a Stirling engine with four double effect pistons. The complex geometry of the heat exchangers was determined by optical measurements. Results of three thermodynamic models: Direct Method from Finite Speed Thermodynamics (FST), isothermal model (Schmidt), and adiabatic model (Finkelstein) are confronted to experimental ones. Direct Method consists of the study and the evaluation of the irreversibilities of thermal machines by analyzing the cycle, step by step, and directly integrating the equation of the First Law for processes with finite speed combined with Second Law of Thermodynamics, for each process of the cycle. The expression of efficiency and power, depending on the speed of the processes and geometric and functional parameters, is then obtained in a straightforward manner. The isothermal and adiabatic models are based on the division of Stirling engine in 3, respectively 5 control volumes, for which the ideal gas law and the equations of mass and energy balance are applied. Analysis of the process of heat transfer and flow of the working gas, taking place in the Stirling engine, is carried out taking into account instantaneous representation of the working fluid volume in the engine. A system of differential equations is solved by iteration using Matlab/Simulink software. The theoretical results are compared to experimental ones. This comparison allows to point out a good accuracy of the Direct Method and the Adiabatic Model, for the thermal operating parameters of the system, noting the different assumptions of each analysis.

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“…Petrescu et al present a detailed analysis of the cycle through a finite speed framework [36,37]. This method is used by Costea [38] et al and Petrescu et al [39][40][41] with regard to solar thermal Stirling engines.…”

Section: The Stirling Model Brief Review Of Established Methodsmentioning

confidence: 99%

Validation of a Simulation Model for a Combined Otto and Stirling Cycle Power Plant

McGovern¹,

Cullen²,

Feidt

et al. 2010

ASME 2010 4th International Conference on Energy Sustainability, Volume 2

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A project has been underway at the Dublin Institute of Technology (DIT) to investigate the feasibility of a combined Otto and Stirling cycle power plant in which a Stirling cycle engine would serve as a bottoming cycle for a stationary Otto cycle engine. This type of combined cycle plant is considered to have good potential for industrial use. This paper describes work by DIT and collaborators to validate a computer simulation model of the combined cycle plant. In investigating the feasibility of the type of combined cycle that is proposed there are a range of practical realities to be faced and addressed. Reliable performance data for the component engines are required over a wide range of operating conditions, but there are practical difficulties in accessing such data. A simulation model is required that is sufficiently detailed to represent all important performance aspects and that is capable of being validated. Thermodynamicists currently employ a diverse range of modeling, analysis and optimization techniques for the component engines and the combined cycle. These techniques include traditional component and process simulation, exergy analysis, entropy generation minimization, exergoeconomics, finite time thermodynamics and finite dimensional optimization thermodynamics methodology (FDOT). In the context outlined, the purpose of the present paper is to come up with a practical validation of a practical computer simulation model of the proposed combined Otto and Stirling Cycle Power Plant.

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A methodology of computation, design and optimization of solar Stirling power plant using hydrogen/oxygen fuel cells

Cited by 53 publications

References 21 publications

Application of the multi-objective optimization method for designing a powered Stirling heat engine: Design with maximized power, thermal efficiency and minimized pressure loss

Application of the multi-objective optimization method for designing a powered Stirling heat engine: Design with maximized power, thermal efficiency and minimized pressure loss

Study of a Stirling engine used for domestic micro-cogeneration. Thermodynamic analysis and experiment

Validation of a Simulation Model for a Combined Otto and Stirling Cycle Power Plant

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