Thermal analysis of parabolic trough concentration photovoltaic/thermal system for using in buildings

Alayi, Reza; Kasaeian, Alibakhsh; Atabi, Farideh

doi:10.1002/ep.13220

Cited by 38 publications

(15 citation statements)

References 39 publications

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“…In addition, TRNSYS also has open‐source code facility in which the pre‐existing models can be modified and validated for optimization and the results obtained from TRNSYS have proved to be reliable and are in good agreement with the experimental results within an error percentage of about 5–10% 10 . Thus, it is convenient modular system approach contributes to wider adaptability for detailed analysis of individual system components and their effect on overall system performance for a variety of applications that include solar power plants, 11 building heating, 12 hybrid systems, 13 desalination, 14 energy storage, 15 heating, ventilation and air conditioning (HVAC), 16 and SWH, 17‐26 respectively.…”

Section: Introductionmentioning

confidence: 73%

Optimization of a solar water heating system for vapor absorption refrigeration system

Christopher

Santosh

Vikram

et al. 2020

Env Prog and Sustain Energy

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In this work, the optimization study of the solar collector integrated, with a thermal energy storage tank for the vapor absorption refrigeration system, was studied using TRNSYS. The performance of the integrated system was evaluated considering major contributing parameters such as solar collector area, the mass flow rate of the operating fluids, storage tank volume and height, absorber plate thickness, tube spacing, absorber tube diameter, insulation thickness, and glass thickness/properties, respectively. A physical model of the complete solar water heating (SWH) and refrigeration system was developed followed by simulation studies of the major components for optimization, and finally, the obtained results were compared with the reported data for validation. The results indicated that, by using the solar power with a serpentine tube type flat plate collector of area 24 m2 and a storage volume to a specific collector area of about 60 Lm−2, the optimized system could meet 65% of the annual thermal energy requirement for the refrigeration unit. Further, the annual performance of the optimized solar collector in terms of collector efficiency, heat removal factor, and overall heat loss coefficient was found to be about 0.32, 0.87, and 2.99 W m−2 K, respectively. In addition, the optimization approach that is adopted using TRNSYS in the present study could be used for optimizing the solar‐based energy system for various applications.

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Section: Introductionmentioning

confidence: 73%

Optimization of a solar water heating system for vapor absorption refrigeration system

Christopher

Santosh

Vikram

et al. 2020

Env Prog and Sustain Energy

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“…Due to the need to use clean energy sources, the use of renewable is increasing over the years [1][2][3]. Previous works have shown that the integration of RE, such as solar PV, the small hydro, wind, geothermal, and hydrogen, will reduce greenhouse gasses such as CO2.…”

Section: Introductionmentioning

confidence: 99%

Feasibility Study of Grid-Connected PV System for Peak Demand Reduction of a Residential Building in Tehran, Iran

Alayi¹,

Khan²,

Mohmammadi³

2020

MMEP

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The use of fossil fuels for energy demand is overgrowing, leading to a higher CO2 emission. Besides, these resources have fluctuating prices and have higher operating costs. Thus, the integration of renewable energy (RE) sources has been increasing throughout the years to reduce the dependency on fossil fuel generation. However, RE generations have high initial costs and intermittent resources. Therefore, it is crucial to conduct technical and economic analysis before the installation of any hybrid energy systems. This study proposes the installation of a PV system for a residential building in Tehran, Iran. The goal of the system is to have a PV system for peak demand reduction. Moreover, the input data also includes economic parameters such as costs of PV, battery, and grid purchases alongside interest rates. Sensitivity analysis also conducted in this study to investigate the variation of load profiles on the optimal system configuration. The simulation results show a 422-kW grid-connected PV system with battery storage is the most optimal system for the selected location. The system has a lower Net Present Cost (NPC) and initial capital compared to other configurations. Moreover, the system also has a higher RE generation and lower energy import from the grid.

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“…These systems focus the sunlight on a focal area which allows the system (photovoltaic cell and absorber) to produce electrical and thermal energies . CPVT is a photovoltaic technology that generates electricity from sunlight . Unlike conventional photovoltaic systems, it uses lenses or curved mirrors to focus sunlight onto small, highly efficient, multi‐junction (MJ) solar cells.…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3] CPVT is a photovoltaic technology that generates electricity from sunlight. 4 Unlike conventional photovoltaic systems, it uses lenses or curved mirrors to focus sunlight onto small, highly efficient, multi-junction (MJ) solar cells. In addition, CPV systems often use solar trackers and sometimes a cooling system to further increase their efficiency.…”

Section: Introductionmentioning

confidence: 99%

Optical modeling and optimization of parabolic trough concentration photovoltaic/thermal system

Alayi

Kasaeian

Atabi

2019

Env Prog and Sustain Energy

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In this research, a genetic algorithm has been used to optimize the focal area of the parabolic trough concentration photovoltaic/thermal. First, based on the physical and thermodynamic variables, the system modeling was performed; then, by changing the variables were calculated the effect of these parameters on the electrical and thermal efficiencies. In the next step, the optimization was conducted by the mentioned algorithms. The objective function consists of two targets of electrical efficiency combined with thermal efficiency. The optimization variables include the length of the system, the pipe diameter, the collector diameter, mass flow rate, and the photovoltaic cell width. After running the program in the normal mode, the highest electrical and thermal efficiencies were 0.2063 and 0.4473 for the length of 10 m, the collector diameter of 1.2 m, the flow rate of 0.15 kg/s, the pipe diameter of 0.03 m, and the photovoltaic cell width of 0.02 m. According to the genetic algorithm, the optimal answer for the total efficiency of this system is 0.84737.

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Thermal analysis of parabolic trough concentration photovoltaic/thermal system for using in buildings

Cited by 38 publications

References 39 publications

Optimization of a solar water heating system for vapor absorption refrigeration system

Optimization of a solar water heating system for vapor absorption refrigeration system

Feasibility Study of Grid-Connected PV System for Peak Demand Reduction of a Residential Building in Tehran, Iran

Optical modeling and optimization of parabolic trough concentration photovoltaic/thermal system

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