Closing the gap between simulation and measured energy use in home archetypes

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 intervals by 56 microinverters. 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 modelling 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.

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A Perspective on Methods for Analysis of Measured Energy Data from Commercial Buildings

Journal of Solar Energy Engineering ◽

10.1115/1.2888063 ◽

1998 ◽

Vol 120 (3) ◽

pp. 150-155 ◽

Cited By ~ 12

Author(s):

D. E. Claridge

Keyword(s):

Neural Networks ◽

Spectral Analysis ◽

Historical Perspective ◽

Energy Use ◽

Commercial Buildings ◽

Energy Data ◽

Regression Methods ◽

Measured Energy ◽

End Use ◽

Calibrated Simulation

This paper provides a historical perspective on the methods used to analyze measured energy use in commercial buildings. It summarizes the capabilities and uncertainties of the regression methods used in most M&V applications today and the calibrated simulation approaches used for M&V, commissioning, and end-use disaggregation. The need for graphical indices is introduced and applications of artificial neural networks, Fourier series and spectral analysis methods for M&V and data acquisition are described.

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

Scientific Data ◽

10.1038/s41597-021-01082-8 ◽

2021 ◽

Vol 8 (1) ◽

Author(s):

Philip Agee ◽

Leila Nikdel ◽

Sydney Roberts

Keyword(s):

Solar Energy ◽

Energy Production ◽

Energy Use ◽

The United States ◽

Test Method ◽

Army Corps ◽

Air Leakage ◽

Commercial Building ◽

Zero Energy ◽

Measured Energy

AbstractThis 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.

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Indoor climate and energy performance in nearly zero energy day care centers and school buildings

E3S Web of Conferences ◽

10.1051/e3sconf/201911102003 ◽

2019 ◽

Vol 111 ◽

pp. 02003 ◽

Cited By ~ 1

Author(s):

Kaiser Ahmed ◽

Kalle Kuusk ◽

Henrik Heininen ◽

Endrik Arumägi ◽

Targo Kalamees ◽

...

Keyword(s):

Energy Use ◽

Ventilation System ◽

Energy Performance ◽

Physical Parameters ◽

Airflow Rate ◽

Full Time ◽

Indoor Climate ◽

Indoor Temperature ◽

Measured Energy ◽

Time Operation

This study presents the assessment of actual indoor climate condition and energy performance in eight NZEB school and daycare centers of NERO H2020 project. Physical parameters such as indoor temperature, relative humidity, CO2, airflow rate and temperature were measured during heating and cooling seasons, in parallel with an occupants’ questionnaires survey. Besides, calculated and measured energy data was collected from energy performance certificates and energy bills. Thermal comfort and IAQ were assessed based on categories in EN15251 standard with color footprints. Results showed that all the buildings had good or excellent indoor climate during the heating season. However, a large percentage of occupied hours were categorized as category IV during the cooling season, which mainly occurred due to too low indoor temperature caused by the low outdoor temperature during the measurement period. Also, all buildings achieved low CO2 levels. Moreover, the conducted questionaries’ survey showed good correlation with measured results for all buildings except in one building, which had odor and noise problems. In contrast, the measured energy use in 5 buildings out of 7 was increased by factor 2.1-3.0 compared to calculated annual energy use due to a full-time operation of the ventilation system and presence of hot kitchens.

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Energy performance of buildings. Presentation of measured energy use of buildings

10.3403/30237796u ◽

2015 ◽

Keyword(s):

Energy Use ◽

Energy Performance ◽

Energy Performance Of Buildings ◽

Measured Energy

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Measured and simulated energy performance of OLK NZEB with heat pump and energy piles in Hämeenlinna

E3S Web of Conferences ◽

10.1051/e3sconf/202017216012 ◽

2020 ◽

Vol 172 ◽

pp. 16012

Author(s):

Jevgeni Fadejev ◽

Raimo Simson ◽

Jyrki Kesti ◽

Jarek Kurnitski

Keyword(s):

Heat Pump ◽

Model Calibration ◽

Energy Use ◽

Calibration Procedure ◽

Energy Performance ◽

Monthly Basis ◽

Climate Conditions ◽

Building Model ◽

Measured Energy ◽

Energy Piles

In this work, measured energy use of the building space heating, ventilation supply air heating, appliances and lighting is compared against simulated energy use modelled in IDA ICE. As built energy need and detailed measured input data is applied in building model calibration procedure. Calibrated building model energy performance is studied in both measured and test reference year climate conditions. Previously modelled as built plant automation and implemented control logics are compared against measured. Geothermal plant in this study consists of heat pump, solar collectors, boreholes and energy piles. Heat pump SCOP estimated by post processing according to heat pump manufacturer’s performance map is compared against measured SCOP on the monthly basis. Opinion on actual plant operation is given and energy performance improvement potential is quantified. Important parameters for successful building model calibration are presented. Building compliance with Finland NZEB requirements are assessed. The results show good match with measured energy use after the model calibration.

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