Browse
Submit Data
Databases
API
Help

Dataset Information

28 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A synthetic building operation dataset.

ABSTRACT: This paper presents a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with 1395 annual simulations using the U.S. DOE detailed medium-sized reference office building, and 30 years' historical weather data in three typical climates including Miami, San Francisco, and Chicago. Three energy efficiency levels of the building and systems are considered. Assumptions regarding occupant movements, occupants' diverse temperature preferences, lighting, and MELs are adopted to reflect realistic building operations. A semantic building metadata schema - BRICK, is used to store the building metadata. The dataset is saved in a 1.2 TB of compressed HDF5 file. This dataset can be used in various applications, including building energy and load shape benchmarking, energy model calibration, evaluation of occupant and weather variability and their influences on building performance, algorithm development and testing for thermal and energy load prediction, model predictive control, policy development for reinforcement learning based building controls.

SUBMITTER: Li H

PROVIDER: S-EPMC8355154 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

City-level building operation and end-use carbon emissions dataset from China for 2015-2020.

Project description:The building sector, which accounts for over 20% of China's total energy-related carbon emissions, has great potential to reduce emissions and is critical to achieving China's emissions peak and carbon neutrality targets. However, the lack of data on operational carbon emissions and end-use carbon emissions in the building sector at the city level has become a major barrier to the development of building energy conservation policies and carbon peaking action plans. This study uses a combination of "top-down" and "bottom-up" methods to account for the operational carbon emissions of buildings in 321 cities in China from 2015 to 2020. The energy consumption in buildings is further broken down into six end uses: central heating, distributed heating, cooking and water heating (C&W), lighting, cooling, appliances and others (A&O). The dataset can serve as a reference to support city-level policies on peak building emissions and is of great value for the improvement of the carbon emissions statistical accounting system.

| S-EPMC10817938 | biostudies-literature

HAPNEST synthetic dataset

Project description: Not available

| S-BSST936 | biostudies-other

Spatio-temporal dataset of building occupants.

Project description:The paper presents spatio-temporal dataset of building occupants captured using 200 Bluetooth Low Energy (BLE) beacons installed on different locations in two buildings. It contains 8426 data points of 11 building occupants collected with a sampling rate of 5 seconds during different times in a 12 days' interval. Each spatio-temporal data point comprises location and time components correspond to a building location which can be visualized using an OpenStreetMap (OSM) file of a building.

| S-EPMC6812040 | biostudies-literature

Building synthetic chromosomes from natural DNA.

Project description:De novo chromosome synthesis is costly and time-consuming, limiting its use in research and biotechnology. Building synthetic chromosomes from natural components is an unexplored alternative with many potential applications. In this paper, we report CReATiNG (Cloning, Reprogramming, and Assembling Tiled Natural Genomic DNA), a method for constructing synthetic chromosomes from natural components in yeast. CReATiNG entails cloning segments of natural chromosomes and then programmably assembling them into synthetic chromosomes that can replace the native chromosomes in cells. We use CReATiNG to synthetically recombine chromosomes between strains and species, to modify chromosome structure, and to delete many linked, non-adjacent regions totaling 39% of a chromosome. The multiplex deletion experiment reveals that CReATiNG also enables recovery from flaws in synthetic chromosome design via recombination between a synthetic chromosome and its native counterpart. CReATiNG facilitates the application of chromosome synthesis to diverse biological problems.

| S-EPMC10733283 | biostudies-literature

Urban residential building stock synthetic datasets for building energy performance analysis.

Project description:The urban building stock dataset consists of synthetic input and output data for the energy simulation of one million buildings. The dataset consists of four different residential types, namely: terraced, detached, semi-detached, and bungalow. Constructing this buildings dataset requires conversion, categorization, extraction, and analytical processes. The dataset (in .csv) format comprises 19 input parameters, including advanced features such as HVAC system parameters, building fabric (walls, roofs, floors, door, and windows) U-values, and renewable system parameters. The primary output parameter in the dataset is Energy Use Intensity (EUI in kWh/(m2*year)), along with Energy Performance Certificate (EPC) labels categorized on an A to G rating scale. Additionally, the dataset contains end-use demand output parameters for heating and lighting, which are crucial output parameters. jEPlus, a parametric tool, is coupled with EnergyPlus and DesignBuilder templates to facilitate physics-based parametric simulations for generating the dataset. The dataset can be a valuable resource for researchers, practitioners, and policymakers seeking to enhance sustainability and efficiency in urban building environments. Furthermore, dataset holds immense potential for future research in the field of building energy analysis and modeling.

| S-EPMC10910217 | biostudies-literature

Electrical dataset of household appliances in operation in an apartment.

Project description:This data article presents electricity demand data on common household appliances in the Dominican Republic and therefore in the Caribbean region, as well as appliances whose demand characteristics are maintained regardless of geographic location. A one-hour record is made in most cases, for 17 household appliances, containing information on power demand, effective current, power factor and harmonic distortion of voltage and current. The average, minimum, and maximum values of each parameter for one minute are provided. The data were obtained using the Fluke-1738 electrical network analyzer. The data can be used to build demand profiles in the residential or commercial sector, depending on the composition of electrical appliances and the hours of use, dimension photovoltaic systems for self-consumption and emergency electrical sources. Although the number of household appliances and conditions of use of some appliances do not constitute a representative sample, the dataset and the measurement method constitute a starting point for obtaining this type of records, which are scarce in the literature.

| S-EPMC10654533 | biostudies-literature

Datasets of a Multizone Office Building under Different HVAC System Operation Scenarios.

Project description:This study provides an open-source dataset of the measured weather data, building indoor data, and system data under the different test settings. The test building is the two-story Flexible Research Platform building at the US Department of Energy's Oak Ridge National Laboratory, in Oak Ridge, Tennessee. Four heating tests and three cooling tests were conducted. The 1-min interval of weather, building indoor data, and system data from each test setting are provided. Actual weather data were collected from a weather station installed on the roof. This paper describes information on the test building and installed sensors, data collection method, and data validation. The provided dataset can be employed to understand HVAC system conditions and building indoor conditions under different HVAC system operations and the performance of building envelope without HVAC system operation using free-floating test data. Additionally, it can be used for empirical validation of the building energy modelling engine.

| S-EPMC9763383 | biostudies-literature

Longitudinal dataset of human-building interactions in U.S. offices.

Project description:Adaptive interactions between building occupants and their surrounding environments affect both energy use and environmental quality, as demonstrated by a large body of modeling research that quantifies the impacts of occupant behavior on building operations. Yet, available occupant field data are insufficient to explore the mechanisms that drive this interaction. This paper introduces data from a one year study of 24 U.S. office occupants that recorded a comprehensive set of possible exogenous and endogenous drivers of personal comfort and behavior over time. The longitudinal data collection protocol merges individual thermal comfort, preference, and behavior information from online daily surveys with datalogger readings of occupants' local thermal environments and control states, yielding 2503 survey responses alongside tens of thousands of concurrent behavior and environment measurements. These data have been used to uncover links between the built environment, personal variables, and adaptive actions, and the data contribute to international research collaborations focused on understanding the human-building interaction.

| S-EPMC6879474 | biostudies-literature

A rasterized building footprint dataset for the United States.

Project description:Microsoft released a U.S.-wide vector building dataset in 2018. Although the vector building layers provide relatively accurate geometries, their use in large-extent geospatial analysis comes at a high computational cost. We used High-Performance Computing (HPC) to develop an algorithm that calculates six summary values for each cell in a raster representation of each U.S. state, excluding Alaska and Hawaii: (1) total footprint coverage, (2) number of unique buildings intersecting each cell, (3) number of building centroids falling inside each cell, and area of the (4) average, (5) smallest, and (6) largest area of buildings that intersect each cell. These values are represented as raster layers with 30 m cell size covering the 48 conterminous states. We also identify errors in the original building dataset. We evaluate precision and recall in the data for three large U.S. urban areas. Precision is high and comparable to results reported by Microsoft while recall is high for buildings with footprints larger than 200 m2 but lower for progressively smaller buildings.

| S-EPMC7324622 | biostudies-literature

Dataset on Trombe wall application in a factory building.

Project description:An experimental passive solar thermal transmission wall (also known as Trombe wall) prototype was installed on a factory building wall in Kalnciems, Latvia to carry out temperature measurements at different representative locations in order to evaluate Trombe wall's potential to be used as a secondary space heating source. The average winter temperature in Kalnciems is 0.7 °C which stipulates the need for space heating (6-7 months a year). The dataset collection spanned from March 2022 through July 2023, enabling to acquire data over meaningful timeframe, as well as one full year cycle. Exploring Trombe wall technology in a cold climate setting aimed to examine its potential to curtail space heating energy consumption. The experimental Trombe wall prototype was closely monitored, and showcased substantial temperature increase during sunlight hours, emphasizing its potential to be used as a secondary heating source in industrial settings. The Trombe wall structure also demonstrated a sufficient internal temperature gradient (Δt between 1.5 and 5.0 m level a.g.) and generated rather substantial energy output, which is especially important for regions with moderate and cold climates. Enlarging and refining these systems could significantly reduce costs associated to space heating in industrial settings. Recommendations include investigating enhanced air circulation and filtration for improved functionality and user comfort.

| S-EPMC10885718 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data