Data-driven evaluation of HVAC operation and savings in commercial buildings

Khalilnejad, Arash; French, Roger H.; Abramson, Alexis R.

doi:10.1016/j.apenergy.2020.115505

Data-driven evaluation of HVAC operation and savings in commercial buildings

Journal Article · Sun Nov 01 00:00:00 EDT 2020 · Applied Energy

DOI:https://doi.org/10.1016/j.apenergy.2020.115505· OSTI ID:1782098

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Case Western Reserve Univ., Cleveland, OH (United States). SDLE Research Center, Great Lakes Energy Institute; Case Western Reserve University
Case Western Reserve Univ., Cleveland, OH (United States). SDLE Research Center
Case Western Reserve Univ., Cleveland, OH (United States). Great Lakes Energy Institute

Commercial buildings consumed 36% of electricity, or 1.35 trillion kWh, in the United States in 2017, and almost 30% of this energy was wasted. Much of this loss can be attributed to inefficient heating ventilation and air conditioning (HVAC) systems. By improving the operational conditions of HVAC, significant savings can be achieved. However, most buildings and building equipment do not use costly sub-meters to monitor and address performance issues, and on-site auditing can be expensive and insufficient. Alternatively in this study, we propose a data-driven method to identify savings opportunities using only whole building meter data and without setting foot in the building. For this purpose, we introduced two algorithms that virtually quantify the value of a thermostat setpoint setback and HVAC rescheduling. Additionally, we developed novel methods for detecting occupancy patterns and quantifying the baseload of the HVAC operation. Using a clustering algorithm, we identified those buildings for which HVAC savings was significant and further categorized the buildings based on their potential for savings. A population study of over 432 commercial buildings demonstrated a median percentage energy savings of 1.6% from a baseload reduction and 2.1% from HVAC rescheduling. Additionally, results indicate that retail buildings have the highest potential for savings among the building types studied.

View Accepted Manuscript (DOE)

Research Organization:: Case Western Reserve Univ., Cleveland, OH (United States)

Sponsoring Organization:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

Grant/Contract Number:: AR0000668

OSTI ID:: 1782098

Alternate ID(s):: OSTI ID: 1647101

Journal Information:: Applied Energy, Journal Name: Applied Energy Vol. 278; ISSN 0306-2619

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (20)

Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework Zhou, Yuyu; Clarke, Leon; Eom, Jiyong Applied Energy, Vol. 113 https://doi.org/10.1016/j.apenergy.2013.08.034	journal	January 2014
Electric load shape benchmarking for small- and medium-sized commercial buildings Luo, Xuan; Hong, Tianzhen; Chen, Yixing Applied Energy, Vol. 204 https://doi.org/10.1016/j.apenergy.2017.07.108	journal	October 2017
Energy flexibility of a nearly zero-energy building with weather predictive control on a convective building energy system and evaluated with different metrics Liu, Mingzhe; Heiselberg, Per Applied Energy, Vol. 233-234 https://doi.org/10.1016/j.apenergy.2018.10.070	journal	January 2019
Optimal energy management for commercial buildings considering comprehensive comfort levels in a retail electricity market Liang, Zheming; Bian, Desong; Zhang, Xiaohu Applied Energy, Vol. 236 https://doi.org/10.1016/j.apenergy.2018.12.048	journal	February 2019
Impacts of future weather data typology on building energy performance – Investigating long-term patterns of climate change and extreme weather conditions Moazami, Amin; Nik, Vahid M.; Carlucci, Salvatore Applied Energy, Vol. 238 https://doi.org/10.1016/j.apenergy.2019.01.085	journal	March 2019
Disaggregating power consumption of commercial buildings based on the finite mixture model Zhou, Yang; Shi, Zhixiong; Shi, Zhengyu Applied Energy, Vol. 243 https://doi.org/10.1016/j.apenergy.2019.03.014	journal	June 2019
Strategic control and cost optimization of thermal energy storage in buildings using EnergyPlus Kamal, Rajeev; Moloney, Francesca; Wickramaratne, Chatura Applied Energy, Vol. 246 https://doi.org/10.1016/j.apenergy.2019.04.017	journal	July 2019
A data-driven approach to extract operational signatures of HVAC systems and analyze impact on electricity consumption Yu, Xinran; Ergan, Semiha; Dedemen, Gokmen Applied Energy, Vol. 253 https://doi.org/10.1016/j.apenergy.2019.113497	journal	November 2019
Algorithm for automating the selection of a temperature dependent change point model Paulus, Mitchell T.; Claridge, David E.; Culp, Charles Energy and Buildings, Vol. 87 https://doi.org/10.1016/j.enbuild.2014.11.033	journal	January 2015
Change point and degree day baseline regression models in industrial facilities Golden, Allyson; Woodbury, Keith; Carpenter, Joseph Energy and Buildings, Vol. 144 https://doi.org/10.1016/j.enbuild.2017.03.024	journal	June 2017
Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning Zhang, Zhiang; Chong, Adrian; Pan, Yuqi Energy and Buildings, Vol. 199 https://doi.org/10.1016/j.enbuild.2019.07.029	journal	September 2019
Minimization of energy consumption in HVAC systems with data-driven models and an interior-point method Kusiak, Andrew; Xu, Guanglin; Zhang, Zijun Energy Conversion and Management, Vol. 85 https://doi.org/10.1016/j.enconman.2014.05.053	journal	September 2014
Determination of a Building's balance point temperature as an energy characteristic Krese, Gorazd; Lampret, Žiga; Butala, Vincenc Energy, Vol. 165 https://doi.org/10.1016/j.energy.2018.10.025	journal	December 2018
Building Energy Consumption in US, EU, and BRIC Countries Berardi, Umberto Procedia Engineering, Vol. 118 https://doi.org/10.1016/j.proeng.2015.08.411	journal	January 2015
Data analytics for occupancy pattern learning to reduce the energy consumption of HVAC systems in office buildings Capozzoli, Alfonso; Piscitelli, Marco Savino; Gorrino, Alice Sustainable Cities and Society, Vol. 35 https://doi.org/10.1016/j.scs.2017.07.016	journal	November 2017
Impact of occupant behavior on energy use of HVAC system in offices Deng, Zhipeng; Chen, Qingyan E3S Web of Conferences, Vol. 111 https://doi.org/10.1051/e3sconf/201911104055	journal	January 2019
An introduction to wavelets Graps, A. IEEE Computational Science and Engineering, Vol. 2, Issue 2 https://doi.org/10.1109/99.388960	journal	July 1995
Standardization and Its Effects on K-Means Clustering Algorithm Mohamad, Ismail Bin; Usman, Dauda Research Journal of Applied Sciences, Engineering and Technology, Vol. 6, Issue 17 https://doi.org/10.19026/rjaset.6.3638	journal	September 2013
Statistical data preparation: management of missing values and outliers Kwak, Sang Kyu; Kim, Jong Hae Korean Journal of Anesthesiology, Vol. 70, Issue 4 https://doi.org/10.4097/kjae.2017.70.4.407	journal	January 2017
Updated world map of the Köppen-Geiger climate classification Peel, M. C.; Finlayson, B. L.; McMahon, T. A. Hydrology and Earth System Sciences, Vol. 11, Issue 5 https://doi.org/10.5194/hess-11-1633-2007	journal	January 2007

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