Long-term monitoring data from a naturally ventilated office building

Schweiker, Marcel; Kleber, Michael; Wagner, Andreas

doi:10.1038/s41597-019-0283-3

Cited by 18 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These contributions span human-building interactions with appliances 5 , heat pumps 7 , and natural ventilation systems 8 . Other recent contributions span energy use across building typologies (e.g., commercial and residential) 9 – 12 .…”

Section: Background and Summarymentioning

confidence: 99%

A measured energy use, solar production, and building air leakage dataset for a zero energy commercial building

2021

View full text Add to dashboard Cite

This paper provides an open dataset of measured energy use, solar energy production, and building air leakage data from a 328 m2 (3,531 ft2) all-electric, zero energy commercial building in Virginia, USA. Over two years of energy use data were collected at 1-hour intervals using circuit-level energy monitors. Over six years of solar energy production data were measured at 1-hour resolution by 56 microinverters (presented as daily and monthly data in this dataset). The building air leakage data was measured post-construction per ASTM-E779 Standard Test Method for Determining Air Leakage Rate by Fan Pressurization and the United States Army Corps (USACE) Building Enclosure Testing procedure; both pressurization and depressurization results are provided. The architectural and engineering (AE) documents are provided to aid researchers and practitioners in reliable modeling of building performance. The paper describes the data collection methods, cleaning, and convergence with weather data. This dataset can be employed to predict, benchmark, and calibrate operational outcomes in zero energy commercial buildings.

show abstract

Section: Background and Summarymentioning

confidence: 99%

A measured energy use, solar production, and building air leakage dataset for a zero energy commercial building

2021

View full text Add to dashboard Cite

show abstract

“…The building energy analytics community has only just started to use open data sets towards the efforts of creating benchmarking data sets. Several prominent open building energy-related data sets have been released in recent years including applications to building-level office 6 and residential 7 appliances, occupant behavior 8 , heat pump 9 and natural ventilation systems 10 , as well as commercial and residential energy meter data 11 – 13 . The use of open data sets in the built environment enables the analysis of large numbers of buildings in applications such as benchmarking 14 .…”

Section: Background and Summarymentioning

confidence: 99%

The Building Data Genome Project 2, energy meter data from the ASHRAE Great Energy Predictor III competition

et al. 2020

View full text Add to dashboard Cite

This paper describes an open data set of 3,053 energy meters from 1,636 non-residential buildings with a range of two full years (2016 and 2017) at an hourly frequency (17,544 measurements per meter resulting in approximately 53.6 million measurements). These meters were collected from 19 sites across North America and Europe, with one or more meters per building measuring whole building electrical, heating and cooling water, steam, and solar energy as well as water and irrigation meters. Part of these data was used in the Great Energy Predictor III (GEPIII) competition hosted by the American Society of Heating, Refrigeration, and Air-Conditioning Engineers (ASHRAE) in October-December 2019. GEPIII was a machine learning competition for long-term prediction with an application to measurement and verification. This paper describes the process of data collection, cleaning, and convergence of time-series meter data, the meta-data about the buildings, and complementary weather data. This data set can be used for further prediction benchmarking and prototyping as well as anomaly detection, energy analysis, and building type classification.

show abstract

“…Authors in 35 provide data of 24 U.S. office occupants, including their thermal comfort, preference, behavioral information, and environmental conditions for one year. Authors in 36 offer data related to outdoor and indoor environment, as well as energy and occupant behavior collected from 17 cell offices over the period of four years. Authors in 37 provide data on energy use and occupant behavior recorded from six net-zero energy senior housing units over the period of nine months.…”

Section: Background and Summarymentioning

confidence: 99%

CU-BEMS, smart building electricity consumption and indoor environmental sensor datasets

et al. 2020

View full text Add to dashboard Cite

this paper describes the release of the detailed building operation data, including electricity consumption and indoor environmental measurements, of the seven-story 11,700-m 2 office building located in Bangkok, thailand. the electricity consumption data (kW) are that of individual air conditioning units, lighting, and plug loads in each of the 33 zones of the building. The indoor environmental sensor data comprise temperature (°C), relative humidity (%), and ambient light (lux) measurements of the same zones. The entire datasets are available at one-minute intervals for the period of 18 months from July 1, 2018, to December 31, 2019. Such datasets can be used to support a wide range of applications, such as zone-level, floor-level, and building-level load forecasting, indoor thermal model development, validation of building simulation models, development of demand response algorithms by load type, anomaly detection methods, and reinforcement learning algorithms for control of multiple aC units.

show abstract

Long-term monitoring data from a naturally ventilated office building

Cited by 18 publications

References 9 publications

A measured energy use, solar production, and building air leakage dataset for a zero energy commercial building

A measured energy use, solar production, and building air leakage dataset for a zero energy commercial building

The Building Data Genome Project 2, energy meter data from the ASHRAE Great Energy Predictor III competition

CU-BEMS, smart building electricity consumption and indoor environmental sensor datasets

Contact Info

Product

Resources

About