README.txt
Dataset description:
This package provides material related to the paper: B. Hadengue, E. Morgenroth, T.A. Larsen, Screening innovative technologies for energy-efficient domestic hot water systems, Journal of...
Source: Data for: Screening innovative technologies for energy-efficient domestic hot water systems
Additional Information
Last updated | September 22, 2022 |
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Created | September 22, 2022 |
Format | text/plain |
Size | 2.2 KB |
Resource Type | Text |
Cite as | This package contains raw results and all necessary scripts/data to reproduce the study presented in Hadengue B., Morgenroth E., Larsen T.A. (2022) Screening innovative technologies for energy-efficient domestic hot water systems. Journal of Environmental Management. DOI: 10.1016/j.jenvman.2022.115713 The directory is structured as follows: * `Results` contains everything results-related: * `Processed` contains the processed results, i.e. averaged values for daily heat losses from hot water pipes, daily total water volumes and daily energy input to the tank boiler from all scenarios. * `Unprocessed` contains the unprocessed results, i.e. raw results recorded from simulations for all scenarios and all simulation steps. * `ExampleSimulations` contains raw example simulations (two days) in the `.mat` format, i.e. a Modelica results file. * `Scripts` contains Python scripts and data for the reproduction of the study: * `MasterScript.py` is the main orchestrator. This script generates water demand, simulates each scenario in the JModelica.org environment, filters the simulation results and records selected values. * `ResultsProcessing.py` is used to process the data further to compute daily averages for each scenario * The `Data` directory contains all necessary data to run the process (hopefully) smoothly, i.e.: * `BehavioralScenarios`: initialization files for the generation of water demand using the HydroGen Python module * `ScenarioModels`: Modelica models in the `.mo` format * `FriedlerButler.xlsx` and `UniformDistro.xlsx: daily water consumption schedules (required by HydroGen). One is based on experimental data from Friedler and Butler (1996) and the other is a simple uniform distribution. These files are also available in the open .csv format. * `UsefulVariableNames`: names of variables that are filtered from the simulation files and recorded at each simulation step. IMPORTANT NOTE. The scenario names follow a naming convention: A: 3EFlow B: Low-flow appliances C: Shower heat exchanger D: Pipe insulation E: Membrane bioreactor heat exchanger A scenario with a single letter indicates that the technology is implemented alone. A scenario with two letters indicates that the technologies are combined. |
Hash | b39e9cc1404f67045c442ee716abf7dc3f2c95ca17e0ab896b75cbd8e1523591 |
Hashtype | sha256 |