3E thermodynamic modeling and optimization a novel of ARS-CPVT with the effect of inserting a turbulator in the solar collector

Mohammad Ravanbakhsh, Mohammad Gholizadeh and Mojtaba Rezapour

Renewable Energy, 2023, vol. 209, issue C, 591-607

Abstract: In the present work, thermodynamic and economic modeling of a single-effect absorption chiller cycle to a photovoltaic solar system has been investigated. Modeling with three perspectives of optical analysis, computational fluid dynamics, and thermodynamics is considered to be coupled together. Solar energy has been used to drive the absorption chiller cycle and production of cooling for residential buildings. Solar centralization system including solar panels, fluid flow is used to generate and store electricity, usage in the absorption cycle, respectively. In the numerical simulation, the pressure drop and temperature of the system outlet are investigated. In the thermodynamic simulation, the performance coefficient of the absorption chiller cycle, the efficiency of the second law of thermodynamics, the cooling load, and the temperature of cooling flow is investigated. The results are validated under the same conditions for optical analysis and numerical solution; Based on this, the values obtained from the simulation is shown a maximum of 7.6% error compared to the results of the reference paper. The maximum heat flux transferred to water flow is equal to 11884 (W/m2) in June, which was obtained using numerical simulation, the maximum value Tout,CPVT=368.8(K). According to the thermodynamic modeling of the system, the minimum flow rate of CPVT was obtained m˙CPVT=0.15(kg/s) and according to the performance coefficient, exergy efficiency, and total cost rate was selected as the optimal flow rate that produces a cooling load equal to Q˙Eva=8.509(kW) the production coefficient and efficiency. Exergy and overall start-up costs are 0.2714, 0.729 and 0.0424 ($/hr), respectively.

Keywords: Optical analysis; 3-D numerical 3-D modeling; Turbulator insert; Thermodynamic modeling; Multi-objective optimization (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:209:y:2023:i:c:p:591-607

DOI: 10.1016/j.renene.2023.04.007

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