Vertical Bifacial Solar Panels as a Candidate for Solar Canal Design

Reagan, Jeremiah; Kurtz, Sarah

doi:10.1109/pvsc48317.2022.9938769

Cited by 2 publications

(1 citation statement)

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“…These nanofluids have demonstrated promising capabilities in enhancing thermal conductivity and heat transfer efficiency. The investigation of Al 2 O 3 -water nanofluids has been conducted to assess their impact on the efficiency of cross-flow microheat exchangers, revealing notable enhancements in heat transfer capabilities [32][33][34][35][36]. Furthermore, the incorporation of heat exchangers into intricate systems, such as solar thermal heat pump hybrid systems, has been subjected to modeling in order to enhance energy preservation in buildings.…”

Section: Introductionmentioning

confidence: 99%

Study of Heat Recovery Equipment for Building Applications

Popescu,

Catalina

2023

Buildings

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Nowadays, heat exchangers find widespread use across various applications in different fields, particularly in the field of heat recovery. This paper provides a detailed explanation of a plate heat exchanger counter-flow model developed in Simulink/Matlab. Water was employed in simulations for both circuits, although the thermal properties of other fluids can be investigated by modifying them. The “Tanks in series” method was used for simulation purposes. The developed model enables users to explore the impact of various parameters on heat exchanger functionality, such as altering the number of plates, the material or thickness of the plates, and the nature of thermal agents (gaseous or liquid). These models play a crucial role not only in simulating and sizing heat exchangers but also in achieving parametric optimization. Parameter variations can be employed to examine the operation of existing equipment under conditions different from their design specifications. The Simulink/Matlab proposed model, featuring a variable number of finite volumes to ensure high accuracy, was compared to the classical design method for plate heat exchangers. The results revealed good accuracy, with relative errors for heat transfer rate remaining below 2.6%. This research also considered the study of the number of finite volumes necessary for achieving accurate results. For the 40 finite volumes model, the relative error for heat transfer rate is less than 10%. Dividing the mesh into 50 finite volumes along the fluid flow direction resulted in relative errors ranging from 1.6% to 1.7%, indicating that a finer mesh was not necessary. To validate the conceived model, experimental data from the literature were compared. The relative errors for heat transfer rate between the Matlab/Simulink model’s results and experimental data ranged from 1.58% to 11.92%, demonstrating a strong agreement between the conceived model and the experimental values.

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Section: Introductionmentioning

confidence: 99%