Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
calValMOFadHX.R | Calibration script to generate plots and data for parametrizing MOF adsorption heat exchanger | 6,33 kB | Unknown | Download/Open |
epsNTUeCoo10pred.R | Functions to calculate efficiency and cooling/heating power of adsorption chiller/heat transformer. | 19,09 kB | Unknown | Download/Open |
epsNTUsorpPred.R | Functions based on eps-NTU approach to calculate efficiency and heat flow rates of adsorption modules | 33,99 kB | Unknown | Download/Open |
equilibrium_calculation.R | Functions to calculate adsorption equilibrium (p, T, X, DeltaT_ch) and wrapper functions for thermo-physical properties of water and steam (psat, Tsat) | 8,52 kB | Unknown | Download/Open |
loadEqiData.R | Script to load equilibrium data contained in folder eqi_data | 5 kB | Unknown | Download/Open |
loadEvaluateEnergyBalEcoo10Fahr.R | Script to load the adsorption chiller eCoo10 data and evaluate the data in terms of energy balance | 5,12 kB | Unknown | Download/Open |
mainCalculations.R | Script that includes the main calculations performed for publication | 7,69 kB | Unknown | Download/Open |
performMainCalculations.R | Functions to perform the calculations in mainCalculations.R | 19,46 kB | Unknown | Download/Open |
ReadMe.txt | Additional information about all files and folders. | 4,49 kB | Text | Download/Open |
XSteam.R | XSteam (by Magnus Holmgren magnus@x-eng.com) translated from Matlab to R by Patrick Wagner (info@patrick-wagner.net) | 165,14 kB | Unknown | Download/Open |
calcMeanValsModuleXpr.R | Reads and summarizes adsorption module measurement data | 2,99 kB | Unknown | Download/Open |
calcPelEcoo10.R | Functions to calculate electrical power consumption of pumps | 5,56 kB | Unknown | Download/Open |
calValEcoo10.R | Calibration and validation script to generate plots and data for publication | 25,3 kB | Unknown | Download/Open |
data.zip | Contains all experimental data and data necessary to run the scripts. | 130,61 MB | ZIP | Download/Open |
Abstract
Classification
Keywords
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Fraunhofer Group
This item is licensed under a Creative Commons License