Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

An assessment of power flexibility from commercial building cooling systems in the United States

Journal Article · · Energy (Oxford)
Understanding varying characteristics and aggregate potential of power flexibility from different building types considering regional diversity is critically important to actively engaging building resources in future eco-friendly, low-cost, and sustainable power systems. This paper presents a comprehensive characteristics analysis and potential assessment of the power flexibility from heating, ventilation, and air conditioning (HVAC) loads in commercial buildings in the U.S. using a simulation-based method. In this method, commercial buildings are first grouped by building types and climate regions. The U.S. Department of Energy Commercial Prototype Building Models are used to represent an average building in each group and are simulated to characterize corresponding power flexibility. Based on building survey data, the number of commercial buildings in each group is estimated and used to calculate aggregate power flexibility. It is found that HVAC loads in commercial buildings offer more flexibility for increasing power consumption than for decreasing it. The power consumption of commercial buildings in the U.S. can be increased by 46 GW and decreased by 40 GW on peak summer days. Among all commercial building types, standalone retail buildings provide the most absolute flexibility while the medium office buildings have the most flexibility as a percentage of the rated power consumption.
Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
National Science Foundation (NSF); USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office (EE-5B)
Grant/Contract Number:
AC05-76RL01830; AC36-08GO28308
OSTI ID:
1764735
Alternate ID(s):
OSTI ID: 1809574
OSTI ID: 1768321
OSTI ID: 23199839
Report Number(s):
NREL/JA--5500-79215; PNNL-SA--151748
Journal Information:
Energy (Oxford), Journal Name: Energy (Oxford) Vol. 221; ISSN 0360-5442
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

References (28)

Quantifying flexibility of commercial and residential loads for demand response using setpoint changes journal September 2016
Quantifying demand flexibility based on structural thermal storage and comfort management of non-residential buildings: A comparison between hot and cold climate zones journal June 2017
Capacity and output power estimation approach of individual behind-the-meter distributed photovoltaic system for demand response baseline estimation journal November 2019
Methodology to estimate building energy consumption using EnergyPlus Benchmark Models journal December 2010
Improving the capabilities of the Town Energy Balance model with up-to-date building energy simulation algorithms: an application to a set of representative buildings in Paris journal June 2014
Combining HVAC energy conservation measures to achieve energy savings over standard requirements journal April 2014
Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining journal October 2014
Dynamic frequency regulation resources of commercial buildings through combined building system resources using a supervisory control methodology journal January 2015
Incorporating machine learning with building network analysis to predict multi-building energy use journal March 2019
Validation on aggregate flexibility from residential air conditioning systems for building-to-grid integration journal October 2019
The influence of demand response on wind-integrated power system considering participation of the demand side journal July 2019
The value of flexible load in power systems with high renewable energy penetration journal December 2019
Experimental study on the dynamics, quality and impacts of using variable-speed pumps in buildings for frequency regulation of smart power grids journal May 2020
Fundamentals and business model for resource aggregator of demand response in electricity markets journal August 2020
Potentials and economics of residential thermal loads providing regulation reserve journal April 2015
Generation following with thermostatically controlled loads via alternating direction method of multipliers sharing algorithm journal May 2017
Hierarchical control framework for integrated coordination between distributed energy resources and demand response journal September 2017
Development of building energy asset rating using stock modelling in the USA journal January 2016
Smart Households’ Aggregated Capacity Forecasting for Load Aggregators Under Incentive-Based Demand Response Programs journal March 2020
Aggregated Modeling and Control of Air Conditioning Loads for Demand Response journal November 2013
Aggregate Flexibility of Thermostatically Controlled Loads journal January 2015
Model Predictive Control of Aggregated Heterogeneous Second-Order Thermostatically Controlled Loads for Ancillary Services journal May 2016
An Optimal and Learning-Based Demand Response and Home Energy Management System journal July 2016
A Two-Layer Framework for Quantifying Demand Response Flexibility at Bulk Supply Points journal July 2018
Optimal Coordination of Building Loads and Energy Storage for Power Grid and End User Services journal September 2018
Flexibility Estimation and Control of Thermostatically Controlled Loads With Lock Time for Regulation Service journal July 2020
Renewable Electricity Futures Study. Volume 1. Exploration of High-Penetration Renewable Electricity Futures report June 2012
Coordination and Control of Building HVAC Systems to Provide Frequency Regulation to the Electric Grid journal July 2018