A cross-sectional study of the temporal evolution of electricity consumption of six commercial buildings
Abstract
Current approaches to building efficiency diagnoses include conventional energy audit techniques that can be expensive and time consuming. In contrast, virtual energy audits of readily available 15-minute-interval building electricity consumption are being explored to provide quick, inexpensive, and useful insights into building operation characteristics. A cross sectional analysis of six buildings in two different climate zones provides methods for data cleaning, population-based building comparisons, and relationships (correlations) of weather and electricity consumption. Data cleaning methods have been developed to categorize and appropriately filter or correct anomalous data including outliers, missing data, and erroneous values (resulting in < 0.5% anomalies). The utility of a cross-sectional analysis of a sample set of building's electricity consumption is found through comparisons of baseload, daily consumption variance, and energy use intensity. Correlations of weather and electricity consumption 15-minute interval datasets show important relationships for the heating and cooling seasons using computed correlations of a Time-Specific-Averaged- Ordered Variable (exterior temperature) and corresponding averaged variables (electricity consumption)(TSAOV method). The TSAOV method is unique as it introduces time of day as a third variable while also minimizing randomness in both correlated variables through averaging. This study found that many of the pair-wise linear correlation analyses lacked strong relationships,more »
- Authors:
-
- Case Western Reserve Univ., Cleveland, OH (United States). Case School of Engineering
- Case Western Reserve Univ., Cleveland, OH (United States). Case School of Engineering, Dept. of Electrical Engineering and Computer Science
- Case Western Reserve Univ., Cleveland, OH (United States). Case School of Engineering, Great Lakes Energy Inst.
- Case Western Reserve Univ., Cleveland, OH (United States). Case School of Engineering, Dept. of Materials Science and Engineering; Case Western Reserve Univ., Cleveland, OH (United States). Case School of Engineering, Solar Durability and Lifetime Extension Center
- Case Western Reserve Univ., Cleveland, OH (United States). Case School of Engineering; Case Western Reserve Univ., Cleveland, OH (United States). Case School of Engineering, Great Lakes Energy Inst.
- Publication Date:
- Research Org.:
- Case Western Reserve Univ., Cleveland, OH (United States)
- Sponsoring Org.:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- OSTI Identifier:
- 1417016
- Grant/Contract Number:
- AR0000668
- Resource Type:
- Accepted Manuscript
- Journal Name:
- PLoS ONE
- Additional Journal Information:
- Journal Volume: 12; Journal Issue: 10; Journal ID: ISSN 1932-6203
- Publisher:
- Public Library of Science
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
Citation Formats
Pickering, Ethan M., Hossain, Mohammad A., Mousseau, Jack P., Swanson, Rachel A., French, Roger H., and Abramson, Alexis R. A cross-sectional study of the temporal evolution of electricity consumption of six commercial buildings. United States: N. p., 2017.
Web. doi:10.1371/journal.pone.0187129.
Pickering, Ethan M., Hossain, Mohammad A., Mousseau, Jack P., Swanson, Rachel A., French, Roger H., & Abramson, Alexis R. A cross-sectional study of the temporal evolution of electricity consumption of six commercial buildings. United States. https://doi.org/10.1371/journal.pone.0187129
Pickering, Ethan M., Hossain, Mohammad A., Mousseau, Jack P., Swanson, Rachel A., French, Roger H., and Abramson, Alexis R. Tue .
"A cross-sectional study of the temporal evolution of electricity consumption of six commercial buildings". United States. https://doi.org/10.1371/journal.pone.0187129. https://www.osti.gov/servlets/purl/1417016.
@article{osti_1417016,
title = {A cross-sectional study of the temporal evolution of electricity consumption of six commercial buildings},
author = {Pickering, Ethan M. and Hossain, Mohammad A. and Mousseau, Jack P. and Swanson, Rachel A. and French, Roger H. and Abramson, Alexis R.},
abstractNote = {Current approaches to building efficiency diagnoses include conventional energy audit techniques that can be expensive and time consuming. In contrast, virtual energy audits of readily available 15-minute-interval building electricity consumption are being explored to provide quick, inexpensive, and useful insights into building operation characteristics. A cross sectional analysis of six buildings in two different climate zones provides methods for data cleaning, population-based building comparisons, and relationships (correlations) of weather and electricity consumption. Data cleaning methods have been developed to categorize and appropriately filter or correct anomalous data including outliers, missing data, and erroneous values (resulting in < 0.5% anomalies). The utility of a cross-sectional analysis of a sample set of building's electricity consumption is found through comparisons of baseload, daily consumption variance, and energy use intensity. Correlations of weather and electricity consumption 15-minute interval datasets show important relationships for the heating and cooling seasons using computed correlations of a Time-Specific-Averaged- Ordered Variable (exterior temperature) and corresponding averaged variables (electricity consumption)(TSAOV method). The TSAOV method is unique as it introduces time of day as a third variable while also minimizing randomness in both correlated variables through averaging. This study found that many of the pair-wise linear correlation analyses lacked strong relationships, prompting the development of the new TSAOV method to uncover the causal relationship between electricity and weather. We conclude that a combination of varied HVAC system operations, building thermal mass, plug load use, and building set point temperatures are likely responsible for the poor correlations in the prior studies, while the correlation of time-specific-averaged-ordered temperature and corresponding averaged variables method developed herein adequately accounts for these issues and enables discovery of strong linear pair-wise correlation R values. TSAOV correlations lay the foundation for a new approach to building studies, that mitigates plug load interferences and identifies more accurate insights into weather-energy relationship for all building types. Over all six buildings analyzed the TSAOV method reported very significant average correlations per building of 0.94 to 0.82 in magnitude. Our rigorous statistics-based methods applied to 15- minute-interval electricity data further enables virtual energy audits of buildings to quickly and inexpensively inform energy savings measures.},
doi = {10.1371/journal.pone.0187129},
journal = {PLoS ONE},
number = 10,
volume = 12,
place = {United States},
year = {Tue Oct 31 00:00:00 EDT 2017},
month = {Tue Oct 31 00:00:00 EDT 2017}
}
Web of Science
Works referenced in this record:
A review on the prediction of building energy consumption
journal, August 2012
- Zhao, Hai-xiang; Magoulès, Frédéric
- Renewable and Sustainable Energy Reviews, Vol. 16, Issue 6
Degradation science: Mesoscopic evolution and temporal analytics of photovoltaic energy materials
journal, August 2015
- French, Roger H.; Podgornik, Rudolf; Peshek, Timothy J.
- Current Opinion in Solid State and Materials Science, Vol. 19, Issue 4
PRISM: An introduction
journal, February 1986
- Fels, Margaret F.
- Energy and Buildings, Vol. 9, Issue 1-2
Updated world map of the Köppen-Geiger climate classification
journal, January 2007
- Peel, M. C.; Finlayson, B. L.; McMahon, T. A.
- Hydrology and Earth System Sciences, Vol. 11, Issue 5
A technical review of energy conservation programs for commercial and government buildings in Thailand
journal, March 2003
- Chirarattananon, Surapong; Taweekun, Juntakan
- Energy Conversion and Management, Vol. 44, Issue 5
Trends in big data analytics
journal, July 2014
- Kambatla, Karthik; Kollias, Giorgos; Kumar, Vipin
- Journal of Parallel and Distributed Computing, Vol. 74, Issue 7
Evaluating retrofit strategies for greening existing buildings by energy modelling & data analytics
conference, April 2014
- Karkare, Anuj; Dhariwal, Abhimanyu; Puradbhat, Sumedh
- 2014 International Conference on Intelligent Green Building and Smart Grid (IGBSG)
Series of experiments for empirical validation of solar gain modeling in building energy simulation codes—Experimental setup, test cell characterization, specifications and uncertainty analysis
journal, December 2006
- Manz, H.; Loutzenhiser, P.; Frank, T.
- Building and Environment, Vol. 41, Issue 12
A new building energy model coupled with an urban canopy parameterization for urban climate simulations—part I. formulation, verification, and sensitivity analysis of the model
journal, May 2009
- Salamanca, Francisco; Krpo, Andrea; Martilli, Alberto
- Theoretical and Applied Climatology, Vol. 99, Issue 3-4
Using BEopt (EnergyPlus) with energy audits and surveys to predict actual residential energy usage
journal, January 2015
- Rhodes, Joshua D.; Gorman, William H.; Upshaw, Charles R.
- Energy and Buildings, Vol. 86
Energy retrofit of commercial buildings: case study and applied methodology
journal, August 2012
- Aste, Niccolò; Del Pero, Claudio
- Energy Efficiency, Vol. 6, Issue 2
Contrasting the capabilities of building energy performance simulation programs
journal, April 2008
- Crawley, Drury B.; Hand, Jon W.; Kummert, Michaël
- Building and Environment, Vol. 43, Issue 4, p. 661-673
Review of external convective heat transfer coefficient models in building energy simulation programs: Implementation and uncertainty
journal, July 2013
- Mirsadeghi, M.; Cóstola, D.; Blocken, B.
- Applied Thermal Engineering, Vol. 56, Issue 1-2
Empirical validation of models to compute solar irradiance on inclined surfaces for building energy simulation
journal, February 2007
- Loutzenhiser, P. G.; Manz, H.; Felsmann, C.
- Solar Energy, Vol. 81, Issue 2
A refined parametric model for short term load forecasting
journal, April 2014
- Charlton, Nathaniel; Singleton, Colin
- International Journal of Forecasting, Vol. 30, Issue 2
Ambient-Temperature Regression Analysis for Estimating Retrofit Savings in Commercial Buildings
journal, August 1998
- Kissock, J. K.; Reddy, T. A.; Claridge, D. E.
- Journal of Solar Energy Engineering, Vol. 120, Issue 3
Multivariate Regression Modeling
journal, August 1998
- Katipamula, S.; Reddy, T. A.; Claridge, D. E.
- Journal of Solar Energy Engineering, Vol. 120, Issue 3
Predicting energy performance of a net-zero energy building: A statistical approach
journal, September 2016
- Kneifel, Joshua; Webb, David
- Applied Energy, Vol. 178
Comments on: "The thermal zones of the Earth" by Wladimir Köppen (1884) [Comments on: "The thermal zones of the Earth" by Wladimir Köppen (1884)]
journal, June 2011
- Rubel, Franz; Kottek, Markus
- Meteorologische Zeitschrift, Vol. 20, Issue 3
Ranking appliance energy efficiency in households: Utilizing smart meter data and energy efficiency frontiers to estimate and identify the determinants of appliance energy efficiency in residential buildings
journal, July 2015
- Kavousian, Amir; Rajagopal, Ram; Fischer, Martin
- Energy and Buildings, Vol. 99
Energy audit practices in China: National and local experiences and issues
journal, July 2012
- Shen, Bo; Price, Lynn; Lu, Hongyou
- Energy Policy, Vol. 46
Interpretation of the Correlation Coefficient: A Basic Review
journal, January 1990
- Taylor, Richard
- Journal of Diagnostic Medical Sonography, Vol. 6, Issue 1
Heating Degree Day Data Applied to Residential Heating Energy Consumption
journal, March 1980
- Quayle, Robert G.; Diaz, Henry F.
- Journal of Applied Meteorology, Vol. 19, Issue 3
Updated world map of the Köppen-Geiger climate classification
journal, January 2007
- Peel, M. C.; Finlayson, B. L.; McMahon, T. A.
- Hydrology and Earth System Sciences Discussions, Vol. 4, Issue 2
PRISM: An introduction
journal, February 1986
- Fels, Margaret F.
- Energy and Buildings, Vol. 9, Issue 1-2
Predicting energy performance of a net-zero energy building: A statistical approach
journal, September 2016
- Kneifel, Joshua; Webb, David
- Applied Energy, Vol. 178
Review of external convective heat transfer coefficient models in building energy simulation programs: Implementation and uncertainty
journal, July 2013
- Mirsadeghi, M.; Cóstola, D.; Blocken, B.
- Applied Thermal Engineering, Vol. 56, Issue 1-2
Degradation science: Mesoscopic evolution and temporal analytics of photovoltaic energy materials
journal, August 2015
- French, Roger H.; Podgornik, Rudolf; Peshek, Timothy J.
- Current Opinion in Solid State and Materials Science, Vol. 19, Issue 4
Trends in big data analytics
journal, July 2014
- Kambatla, Karthik; Kollias, Giorgos; Kumar, Vipin
- Journal of Parallel and Distributed Computing, Vol. 74, Issue 7
Investment in energy efficiency: a survey of Australian firms
journal, October 2000
- Harris, Jane; Anderson, Jane; Shafron, Walter
- Energy Policy, Vol. 28, Issue 12
Empirical validation of building energy simulation programs
journal, January 1997
- Lomas, K. J.; Eppel, H.; Martin, C. J.
- Energy and Buildings, Vol. 26, Issue 3
Ambient-Temperature Regression Analysis for Estimating Retrofit Savings in Commercial Buildings
journal, August 1998
- Kissock, J. K.; Reddy, T. A.; Claridge, D. E.
- Journal of Solar Energy Engineering, Vol. 120, Issue 3
Comments on: "The thermal zones of the Earth" by Wladimir Köppen (1884) [Comments on: "The thermal zones of the Earth" by Wladimir Köppen (1884)]
journal, June 2011
- Rubel, Franz; Kottek, Markus
- Meteorologische Zeitschrift, Vol. 20, Issue 3