Design, Analysis and Optimization of a Solar Dish/Stirling System

Nazemi, Seyyed Danial; Boroushaki, Mehrdad

doi:10.14710/ijred.5.1.33-42

Cited by 34 publications

(13 citation statements)

References 17 publications

(22 reference statements)

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“…The heat energy transferred to the Stirling engine depends upon the efficiencies of the concentrator and the receiver, the DNI value and the thermal losses, as described by Equations () and () 47,48 . Higher the temperature difference, more will be the thermal losses.

Q_{eng} = Q_{c} - Q_{ref} - ((), Q_{con} + Q_{conv} + Q_{rad}),

Q_{eng} = ƞ_{r} \cdot ƞ_{c} \cdot italicDNI \cdot A_{c},

…”

Section: Design Development and Performance Evaluation Of Csp‐dssmentioning

confidence: 99%

“…The total receiver thermal losses ( Q total,loss ) including the conduction loss ( Q cond ), the convection loss ( Q conv ), and the radiation loss ( Q rad ) are described by Equations () 47,48 . The influencing parameters included are cavity temperature ( T cav ), ambient temperature ( T amb ), cavity diameter ( D cav ), cavity length ( L cav ), and thickness of insulator ( δ ins ), heat transfer coefficient ( h T ), and emissivity of material ( ℰ ).

Q_{total, loss} = Q_{cond} + Q_{conv} + Q_{rad} + Q_{rad},

Q_{cond} = \frac{T_{cav} - T_{amb}}{italicLn ([], \frac{\frac{D_{cav}}{2} + δ ins}{\frac{D_{cav}}{2}}) / ((), 2 π \cdot K ins \cdot L_{cav})},

Q_{conv} = h_{T} \cdot A_{cav} ((), T_{abs} - T_{amb}),

Q_{rad} = ℰ_{rad \cdot} σ \cdot A_{ap} ((), {T^{4}}_{abs} - {T^{4}}_{amb}) \cdot

…”

Section: Design Development and Performance Evaluation Of Csp‐dssmentioning

confidence: 99%

“…The heat energy captured by the receiver ( Q r ) depends upon the efficiency and material design of the concentrator and receiver. The heat energy absorbed by receiver and reflected by concentrator ( Q r ) depends upon the intercept factor, concentrator efficiency ( ƞ c ), concentrator reflectance ( ρ c ), DNI , and concentrator area as described by Equations () or () 48,55

Q_{r} = ƞ_{c} \cdot italicDNI \cdot A_{c},

Q_{r} = italicDNI \cdot A_{c} \cdot ρ_{c} \cdot I_{f} \cdot

…”

Section: Design Development and Performance Evaluation Of Csp‐dssmentioning

confidence: 99%

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A review study on mathematical modeling of solar parabolic d ish‐Stirling system used for electricity generation

et al. 2021

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Summary The intensity of the solar radiations falling on the earth surface ranges between 5 and 7.5 kWh/m2/day. For the non‐directed solar thermal application, higher intensity level is required. The Concentrating Solar Power (CSP) technology incorporating reflecting mirrors reinforces the solar radiations with high intensity. It is suitable for various applications; that is, space heating, space cooling, and cooking, steam, and power generation without any polluted emissions. Meanwhile, among the various CSP technologies, the Concentrating Solar Parabolic Dish Stirling engine System (CSP‐DSS) has got attention of the research community due to its various attractive features. The output power and efficiency of the CSP‐DSS depend upon their geometrical, optical, and operating parameters. It is therefore, necessary to mathematically investigate the influence of these parameters on system performance before its design and installation. In the existing literature reported, only some specific parameters of the CSP‐DSS have been focused and considered to investigate the system performance. To the best of author's knowledge, no literature has been found to provide the mathematical modeling of all the system parameters in a single manuscript to study and investigate their influence on the system performance. Hence, this review article aims to compile, expansively review and organize the systematical mathematical modeling for all optical, geometrical, and operating parameters of the CSP‐DSS along with the system design methodology. Likewise, the effects of these parameters on the system output power and efficiency under various operating conditions have been investigated. In addition, comprehensive study of CSP‐DSS components along with their classification have been painstakingly discussed to determine optimal system configuration. Finally, the latest review study in the field of CSP‐DSS have been deeply and comprehensively discussed. This review study concludes that, the kinematic gamma type Stirling engine coupled with Permanent Magnet DC generator (PMDC) and Azimuth‐Altitude Dual Axis Tracker (AADAT) could be the better CSP‐DSS design and configuration in context of the standalone off‐grid electricity generation system.

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Q_{eng} = Q_{c} - Q_{ref} - ((), Q_{con} + Q_{conv} + Q_{rad}),

Q_{eng} = ƞ_{r} \cdot ƞ_{c} \cdot italicDNI \cdot A_{c},

…”

Section: Design Development and Performance Evaluation Of Csp‐dssmentioning

confidence: 99%

Q_{total, loss} = Q_{cond} + Q_{conv} + Q_{rad} + Q_{rad},

Q_{cond} = \frac{T_{cav} - T_{amb}}{italicLn ([], \frac{\frac{D_{cav}}{2} + δ ins}{\frac{D_{cav}}{2}}) / ((), 2 π \cdot K ins \cdot L_{cav})},

Q_{conv} = h_{T} \cdot A_{cav} ((), T_{abs} - T_{amb}),

Q_{rad} = ℰ_{rad \cdot} σ \cdot A_{ap} ((), {T^{4}}_{abs} - {T^{4}}_{amb}) \cdot

…”

Section: Design Development and Performance Evaluation Of Csp‐dssmentioning

confidence: 99%

Q_{r} = ƞ_{c} \cdot italicDNI \cdot A_{c},

Q_{r} = italicDNI \cdot A_{c} \cdot ρ_{c} \cdot I_{f} \cdot

…”

Section: Design Development and Performance Evaluation Of Csp‐dssmentioning

confidence: 99%

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A review study on mathematical modeling of solar parabolic d ish‐Stirling system used for electricity generation

et al. 2021

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“…In this case, the main idea is to find the optimal combination of prismatic crystals to enhance sunlight energy transmission via optic fiber. Nazemi and Boroushaki describe the optimal design of a dish/stirling system in [15]. The model considers the parabolic dish and the cavity receiver as the optimization problem, and the metaheuristic used was particle swarm optimization.…”

Section: Introductionmentioning

confidence: 99%

Micro-Grooved Pipe Design of Parabolic Trough by Metaheuristic Optimization: An Empirical Comparison

2020

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Pipe design is one of the most significant research lines in the area of parabolic semi-cylindrical solar collectors. The main idea behind pipe design is to increase the capillarity angle by expanding the total area being heated, therefore boosting the work capacity of the device. Such capillarity depends on several factors, whose numerical calculations are highly complex. Moreover, some of those variables are integers, whereas some others are real; hence, it is necessary to use optimization techniques that are capable of searching in those numerical spaces. There are several optimization tools that allow individual codification as binary strings, granting the coding of integer, real, or any other, as part of the same individual. Consequently, in this paper we propose the comparison of four metaheuristics when they are utilized to maximize the capillarity angle of the pipe in a parabolic trough. Experimental results show a better performance of binary particle swarm optimization when compared against the other techniques, achieving improvements in the capillarity angle of on average 11 % in comparison with a similar study.

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“…According to their numerical results, it was observed that acetamide and stearic acid should be used as thermal storage in boxtype solar cooker. Najemi & Boroushaki (2016) calculated heat losses in solar dish/Stirling system using mathematical modeling and simulation. Their simulation results were compared with experimental data of Eurodish system and showed a reasonable heat loss in Stirling engine and cavity receiver.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Various Phase Change Materials for Thermal Energy Storage of A Solar Cooker via Numerical Simulation

Tarwidi

Murdiansyah

Ginanjar

2016

Int. J. Renew. Energy Dev.

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ABSTRACT. In this paper, thermal performance of various phase change materials (PCMs) used as thermal energy storage in a solar cooker has been investigated numerically. Heat conduction equations in cylindrical domain are used to model heat transfer of the PCMs. Mathematical model of phase change problem in the PCM storage encompasses heat conduction equations in solid and liquid region separated by moving solid-liquid interface. The phase change problem is solved by reformulating heat conduction equations with emergence of moving boundary into an enthalpy equation. Numerical solution of the enthalpy equation is obtained by implementing Godunov method and verified by analytical solution of one-dimensional case. Stability condition of the numerical scheme is also discussed. Thermal performance of various PCMs is evaluated via the stored energy and temperature history. The simulation results show that phase change material with the best thermal performance during the first 2.5 hours of energy extraction is shown by erythritol. Moreover, magnesium chloride hexahydrate can maintain temperature of the PCM storage in the range of 110-116.7°C for more than 4 hours while magnesium nitrate hexahydrate is effective only for one hour with the PCM storage temperature around 121-128°C. Among the PCMs that have been tested, it is only erythritol that can cook 10 kg of the loaded water until it reaches 100°C for about 3.5 hours.

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Design, Analysis and Optimization of a Solar Dish/Stirling System

Cited by 34 publications

References 17 publications

A review study on mathematical modeling of solar parabolic d ish‐Stirling system used for electricity generation

A review study on mathematical modeling of solar parabolic d ish‐Stirling system used for electricity generation

Micro-Grooved Pipe Design of Parabolic Trough by Metaheuristic Optimization: An Empirical Comparison

Performance Evaluation of Various Phase Change Materials for Thermal Energy Storage of A Solar Cooker via Numerical Simulation

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