Applied Thermal Engineering

Calculation files of the article: Deterministic matrix-based radiative design using a new general formulation of exergy and exergy efficiency for hybrid solar collectors

This dataset was prepared for the journal article entitled "On the prediction of critical heat flux using a physics-informed machine learning-aided framework" (doi: 10.1016/j.applthermaleng.2019.114540). The dataset contains processed and compiled records of experimental critical heat flux and boundary conditions used for the work presented in the article. Please refer to Table 1 of the article for raw data references (note that all data sources are non-proprietary).

Data for the figures in the paper named "A comprehensive comparison between substrate heating and light heating induced nanofluid droplet evaporations" from the journal of Applied Thermal Engineering.

This is the research data of the paper titled as “Effect of light plasmonic heating and substrate heating on nanofluid droplet evaporation” by Xin Yan, Jinliang Xu, Zhijun Meng, Jian Xie. Please contact xiejian90@ncepu.edu.cn if you are interested in the details about these data.

This file is the original data including the critical conditions, flow patterns, time dependencies of the temperature , fundamental frequency, number of rotating rolls, average Nusselt number and so on.

The appropriate selection of the design parameters as a TMS and the decision of their values were the important factors in establishing control over the maximum battery’s module temperature and performance. The design parameters and their range values were selected for developing a more successful cooling system on the basis of the review of previous works. In this work, the hybrid cooling system studied experimentally and numerically. In experimental tests the effect of natural and forced convection considered on the module temperature and the uniformity of temperature. For further consideration validate the simulation with experimental data. Afterward, various design parameters, such as the different inlet velocity, different ambient temperatures, and different spacing between the cells in the module have simulated. Moreover, the influence of adding heat pipe and HPCS has been considered. All these parameters and designs have a high influence on controlling the temperature rise and maintaining uniform heat distribution between the cells in the module. The effect of a number of above-mentioned parameters on Li-ion battery module temperature was observed in various studies. However, there is no study on the effect of L shape heat pipe when the condenser and evaporator located inside the pack.

Raw data of the temperature distribution of HX-125Y packing, HX-250Y packing and HX-350Y packing.

Data related to figures in Applied Thermal Engineering paper (2020) On the ground thermal conductivity estimation with coaxial borehole heat exchangers according to different undisturbed ground temperature profiles Stefano Morchio Marco Fossa Dime Departiment of Mechanical, Energy, Management and Transportation Engineering, The University of Genova, via Opera Pia 15, 16145 Genova, Italy

The research data are included in 4 XLSL files, i.e., (1) original data for part-load performances under various regulation modes of IGV, extraction air and constant corrected speed; (2) original data for operating lines of gas turbine under various regulation modes; (3) original data for the combined performances of gas turbine, heat recovery steam boiler and hot water generator; (4) original data for all the figures in the manuscript.

The data is for the paper submission titled "On the Effects of Increased Coolant Temperatures of Light Duty Engines on Waste Heat Recovery". The files are explained below: Engine Measurement Data : This file contains the mean values of the measured quantities from the engine runs for the four operating points. WHR Sim Results (4 files) : These files have the dual loop Rankine Cycle simulation results compiled for the different working fluids tested for the 4 operating points run.