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72 results for “building energy”
Thermal and electrical energy demands from energy meters and Measured values from sensors in an air handling unit and in the served lecture room of an university building
<p>The dataset consists of measured values from 2 different energy meters installed in the Alice Perry Building of the NUIG university in Galway, Ireland, which measure respectively: (1) the thermal energy for heating delivered to the distribution loop towards the heating radiators of the thermal zone of the west part of the building, where many offices, and some meeting rooms and lectures rooms are located (measuring time interval of 1 minute, from April 2018 to the end of February 2019); (2) electrical energy demand for the chillers serving the whole building (daily values, from January 2018 to the end of February 2019). </p> <p>The dataset also contains measured values of physical variables, states and operating conditions from a detailed layout of data-points installed in an air handling unit, in the outdoor environment and in the related served room, which is a lecture theatre in the Alice Perry Building of the NUIG university in Galway, Ireland. The data have been made available for the period from January 2018 to the end of February 2019, at the measuring time interval of 1 minute. The variables list, with their explanations and graphical schemes, is available as attachment. </p> <p>The data have been made available from the BMS database, thanks to the BEMServer open-source platform - <a href="http://www.bemserver.org">www.bemserver.org</a>, developed in the HIT2GAP project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement n. 680708 - <a href="http://www.hit2gap.eu">www.hit2gap.eu</a>.</p>
Energy consumption and weather data collected continuously during a period of 29 months at Challenger building (France).
<p>The dataset consists of energy consumption and weather data collected continuously during a period of 29 months at Challenger building (France).</p> <p>Energy consumption data at 10 minutes intervals include:</p> <ul> <li>Heating and cooling electrical consumption (indoor and outdoor comfort units) for the 8 zones in the South Triangle (kWh)</li> <li>Lighting consumption for the 8 zones in the South Triangle (kWh)</li> <li>Plug load consumption for the 8 zones in the South Triangle (kWh)</li> <li>Sanitary consumption for the 8 zones in the South Triangle (kWh)</li> <li>Blinds consumption for the 8 zones in the South Triangle (kWh)</li> <li>Air handling unit consumption for the South Triangle (kWh)</li> <li>Total electrical consumption for the South Triangle (kWh)</li> <li>Thermal energy consumption for VRF (Variable refrigerant flow) units of the South Triangle (kWh)</li> </ul> <p>Weather data include:</p> <ul> <li>Daily degree days (°C)</li> <li>Hourly humidity (%)</li> <li>Daily rain precipitation (mm)</li> <li>Hourly direct and global radiation (J/cm2)</li> <li>Daily sunshine hours (hrs)</li> <li>Hourly temperature (°C)</li> </ul> <p>The data set contains<br> - Timeseries as CSV files<br> - Timeseries metadata (description, unit, type,...) as JSON file</p> <p>The data have been made available from the BMS database, thanks to the BEMServer open-source platform - <a href="http://www.bemserver.org">www.bemserver.org</a>, developed in the HIT2GAP project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement n. 680708 - <a href="http://www.hit2gap.eu">www.hit2gap.eu</a>.</p>
Data from energy meters collected on the Wilanów Town Hall building (Warsaw, Poland)
<p>The dataset consists of measured values from Energy meters installed in the Wilanów Town Hall (Warsaw, Poland) which measure: (1) the thermal Energy for heating for the whole building and thermal Energy for the 3rd floor of the building (demo area); (2) electrical energy demand for the chiller serving AHU NW1 and electrical energy consumption on the 3<sup>rd</sup> floor of the building (demo area).</p> <p>The dataset consists also of data related to the physical variables such as: (1) operating condition in the conference rooms served by the AHU NW1 such as temperatures, CO<sub>2 </sub>concentration and humidity (2) weather data.</p> <p>The data have been made available from the BMS database, thanks to the BEMServer open-source platform - <a href="http://www.bemserver.org">www.bemserver.org</a>, developed in the HIT2GAP project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement n. 680708 - <a href="http://www.hit2gap.eu">www.hit2gap.eu</a>.</p>
Data from energy meters of the NANOGUNE building (Spain)
<p>The dataset consists of measured values from all the energy meters installed in Nanogune building located in San Sebastian (Spain). These meters differentiate between the electricity consumption of the intensive production equipment (chillers, clean room, laboratories, etc.) and the one related to the rest of the installation (offices, lighting, common areas, etc.). They also reflect the thermal consumption data (cold and heat) of each area of Nanogune building. </p> <p>There are 79 meters in total: 58 of them are electric meters, 20 thermal meters (10 cold, 10 heat) and a gas meter. All the meters have a time step of 15 minutes, and the data set covers a period of 5 months. </p> <p>The data set contains<br> - Timeseries as CSV files<br> - Timeseries metadata (description, unit, type,...) as JSON file</p> <p>The data have been made available from the BMS database, thanks to the BEMServer open-source platform - <a href="http://www.bemserver.org">www.bemserver.org</a>, developed in the HIT2GAP project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement n. 680708 - <a href="http://www.hit2gap.eu">www.hit2gap.eu</a>.</p>
Energy Consumption Synthetic Dataset Generation Through Parametric Analysis for Residential Buildings in Hot Climates
Open the record for dataset details and reuse information.
Cognitive Biases in Building Energy Decisions
<p>Raw data and R-code of analysis on online survey for building energy decision making.</p>
urbisphere_gb-london_UR-4: Derivation of building thermal and radiative parameters for building energy modelling
<h2>Files in this archive </h2> <ul> <li>GB_layer_info.zip <ul> <li>Output and specifications from uBEMM_v1_27-3-2024.xlsx for further processing (*.csv)</li> </ul> </li> <li>GB_layer_processed.zip <ul> <li>Processed layer-specific thermal and radiative material parameters for UK building typologies (external wall, roofs, ground floors; *.csv)</li> </ul> </li> <li>GB_effective_parameters.zip <ul> <li>Processed effective thermal and radiative parameters of external walls, roofs, ground floors, windows, internal walls and internal floors for UK building typologies (*.csv)</li> </ul> </li> <li>uBEMM_v1_27-3-2024.xlsx <ul> <li>Tool to characterise building structure layers based on bulk thermal parameters</li> </ul> </li> <li>code.zip <ul> <li>Code for processing of building materials (Python3)</li> </ul> </li> <li>urbisphere_gb-london_UR-4.pdf <ul> <li>Documentation</li> </ul> </li> </ul> <h2>Data purpose </h2> <p>The data support APEx, <em>urbisphere</em>-London and ASSURE modelling activities of building energy exchanges in London. </p> <h3>Linked with</h3> <ul> <li>Hertwig et al. 2024. urbisphere_presentations_UR-1: Modelling anthropogenic heat emissions from residential buildings-comparison between Berlin and London. EMS Annual Meeting 2023 [Poster]. Zenodo. https://doi.org/10.5281/zenodo.10889863</li> </ul>
Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in future climate (2069-2098, RCP 8.5), Antwerp Berchem, Belgium
<p>Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of Antwerp Berchem (51°12'00"N 4°26'24" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016). The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098, RCP 8.5 climate change scenario) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the future period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).</p>
Energy Expenditure and Neuromuscular Function in Young Adult Women With a Naturally Thin Build (LeanErgy)
ClinicalTrials.gov study NCT07233109. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Solar analysis and energy simulation results of the acedemic building in Macau
<p>The solar analysis result were calculated by the Insigt of the Autodesk Revit, the energy simulation results were gotten from the Green Building Studio which is the cloud-based calculation platform.</p>
Socio-economic Database for Impact Assessment of Energy Efficiency Measures in Buildings and Supply-side Investments
<p>This upload is a deliverable (D4.2) of the H2020 EERAdata project. It contains the socio-economic data for impact assessment of energy efficiency measures in buildings within three implementing partners - Andalusian Energy Agency (AAE), City of Copenhagen (COP) and Municipality of Velenje (MOV). Future iterations of the database will be uploaded as more data is made available by each implementing partner.</p>
A Bibliometric analysis of Building Energy Simulation on Scopus Database
<p>This is a file with a CSV format that contains 3,049 citation data in the field of energy simulation, extracted from the Scopus citation database. Researchers have used this file to conduct bibliometric research.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.