https://researchdata.se/en/catalogue Search results en The dataset contains questionnaire survey data from the evaluation of a Digital Twin Viewer (CDTE) for the city of Gothenburg. The questionnaire collects background information about the users and their familiarity with digital twins or other digital tools, their evaluation of the usability and usefulness of the City Digital Twin and general reflections on the characteristics and the maintenance of the viewer platform. Data is collected through two assessment workshops: First, a workshop with 22 stakeholders representing the city energy provider, the planning and environmental department of the municipality, property companies both municipal and private, and researchers; and second, a workshop with 70 master students with a background in architecture and urban planning as part of a course on sustainable development and stakeholder engagement. Mon, 14 Oct 2024 13:24:12 GMT https://researchdata.se/en/catalogue/dataset/2024-435 https://researchdata.se/en/catalogue/dataset/2024-435 Chalmers University of Technology Liane Thuvander Daniela Maiullari Giliam Dokter Multilingual glossary containing terms related to energy, it was originally developed at TNC in cooperation with Energiforskningsnämden. The Council for Technical Terminology, RTT provided the Norwegian terms and most of the terms in other languages have been provided by EEC:s translation agency in Luxembourg. The glossary contains 638 terms in Swedish. The terms are also translated to German, Norwegian, Danish, French and English. Mon, 04 Sep 2023 06:49:06 GMT https://researchdata.se/en/catalogue/dataset/2023-174 https://researchdata.se/en/catalogue/dataset/2023-174 Institute for Language and Folklore The dataset contains detailed electricity measurements of appliances in a collective living  (co-living) student apartment at KTH Live-in-Lab. The measurements included are RMS voltage, RMS current, real power, and power factor. The data was collected over a period of 277 days between 28th August 2020 and 31st May 2021 with 1 second time resolution. The compressed file "appliance_csv.zip" contains data in plain CSV file format, whereas "appliance_mat.zip" contains data in MATLAB file format.  For more detailed information and insights into the dataset and the data collection process, refer to the following article. Kindly cite this when using the dataset. R. R. Avula, T. J. Oechtering and D. Månsson, "Adversarial Inference Control in Cyber-Physical Systems: A Bayesian Approach With Application to Smart Meters," in IEEE Access, vol. 12, pp. 24933-24948, 2024, doi: 10.1109/ACCESS.2024.3365270. Sat, 23 Apr 2022 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-5281-zenodo-6480220 https://researchdata.se/en/catalogue/dataset/doi-10-5281-zenodo-6480220 Royal Institute of Technology Ramana R. Avula Tobias J. Oechtering Daniel Månsson Biochar is attracting attention as an alternative carbon/fuel source to coal in the process industry and energy sector. However, it is prone to self-heating and often leads to spontaneous ignition and thermal runaway during storage, resulting in production loss and health risks. This study investigates biochar self-heating upon its contact with O₂ at low temperatures, i.e., 50–300 °C. First, kinetic parameters of O₂ adsorption and CO₂ release were measured in a thermogravimetric analyzer using biochar produced from a pilot-scale pyrolysis process. Then, specific heat capacity and heat of reactions were measured in a differential scanning calorimeter. Finally, a one-dimensional transient model was developed to simulate self-heating in containers and gain insight into the influences of major parameters. The model showed a good agreement with experimental measurement in a closed metal container. It was observed that char temperature slowly increased from the initial temperature due to heat released during O₂ adsorption. Thermal runaway, i.e., self-ignition, was observed in some cases even at the initial biochar temperature of ca. 200 °C. However, if O₂ is not permeable through the container materials, the temperature starts decreasing after the consumption of O₂ in the container. The simulation model was also applied to examine important factors related to self-heating. The results suggested that self-heating can be somewhat mitigated by decreasing the void fraction, reducing storage volume, and lowering the initial char temperature. This study demonstrated a robust way to estimate the cooling demands required in the biochar production process. The dataset was originally published in DiVA and moved to SND in 2024. Tue, 04 Jan 2022 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/2024-348 https://researchdata.se/en/catalogue/dataset/2024-348 Luleå University of Technology Kentaro Umeki Monte Carlo calculations, using the Geant4 framework version 10.02 [1], of energy deposition from gamma radiation emitted from light water reator fuel assemblies in a KBS-3 type deep geological repository for used nuclear fuel has been performed. Selected cases of boiling and pressurized reactor fuel assemblies from the "SKB-50" set of fuel assemblies were used; "BWR1", "BWR6" and "PWR8" [2]. An isotropic source of gamma-rays with energies of 444, 662, 723 and 1274 keV, depending of the case, were distributed homogeneously in the intersection of a (mid-)plane perpendicular to the canister central axis with all the fuel rods in all fuel assemblies in the canister. The average energy deposition in a 3-dimensional (x,y,z) mesh with 1 cm resolution was calculated per emitted gamma particle. This dataset contains the resulting meshed energy deposition data. Description of files: - The gzip compressed tar file contains comma-separated-values (CSV) files with the data "mesh x position [cm], mesh y position [cm], mesh z position [cm], average energy deposition per emitted gamma [MeV]" supplied on each row. The name of the CSV file specifies the fuel assembly id from the SKB-50 set of fuel assemblies as well as the energy of the emitted gamma radiation. - The txt-file contains the SHA-256 checksum of the gzip compressed tar file. The dataset was originally published in DiVA and moved to SND in 2024. Mon, 10 May 2021 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/2024-326 https://researchdata.se/en/catalogue/dataset/2024-326 Uppsala University Peter Jansson The study on Rural Energy and Household Forest Values under Varying Management Regimes was conducted in Ethiopia. The general objective of this survey is to study household behavior regarding sustainable land use. Households were selected from the main four regions of Ethiopia (Amhara, Oromia, SNNP, and Tigray) in 2009. The data was generated by researchers at the Ethiopian Development Research Institute and Gothenburg University. All the datasets are in Stata format. Each data file attached consists of datasets of each section in the questionnaire. Mon, 12 Oct 2020 07:56:26 GMT https://researchdata.se/en/catalogue/dataset/snd1288-1 https://researchdata.se/en/catalogue/dataset/snd1288-1 University of Gothenburg Abebe Damte Monte Carlo calculations, using the Geant4 framework version 10.02, of energy deposition from gamma- and neutron radiation emitted from boiling water reator (BWR) fuel assemblies in a KBS-3 type deep geological repository for used nuclear fuel have been performed. This dataset contains the results of the calculations. Three fuel rods were arbitrarily selected as source rods for 662 keV and 2.75 MeV gamma- and neutron radiation, respectively. For each of the six cases, the energy deposited in a 3-dimensional (x,y,z) mesh with 1 cm resolution was calculated and tallied as function of the type of particle that deposited the energy. See README-file for details about each datafile. The dataset was originally published in DiVA and moved to SND in 2024. Tue, 21 Mar 2017 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/2024-198 https://researchdata.se/en/catalogue/dataset/2024-198 Uppsala University Peter Jansson