Potential energy, demand, emissions, and cost savings distributions for buildings in a utility’s service area

Brett Bass; Joshua New; William Copeland

doi:10.3390/en14010132

Potential energy, demand, emissions, and cost savings distributions for buildings in a utility’s service area

Brett Bass, Joshua New, William Copeland

Grid-Interactive Controls

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

Several companies, universities, and national laboratories are developing urban-scale energy modeling that allows the creation of a digital twin of buildings for the simulation and optimization of real-world, city-sized areas. Prior to simulation-based assessment, a baseline of savings for a set of utility-defined use cases was established to clarify the initial business case for specific energy efficient building technologies. In partnership with a municipal utility, 178,337 OpenStudio and EnergyPlus models of buildings in the utility’s 1400 km² service area were created, simulated, and assessed with measures for quantifying energy, demand, cost, and emissions reductions of each building. The method of construction and assumptions behind these models is discussed, definitions of example measures are provided, and distribution of savings across the building stock is provided under a maximum technical adoption scenario.

Original language	English
Article number	132
Journal	Energies
Volume	14
Issue number	1
DOIs	https://doi.org/10.3390/en14010132
State	Published - Jan 1 2021

Funding

Conflicts of Interest: This manuscript was authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). Funding: This work was funded by field work proposal CEBT105 under US Department of Energy Building Technology Office Activity Number BT0305000, as well as Office of Electricity Activity Number TE1103000.

Funders	Funder number
US Department of Energy Building Technology	BT0305000, TE1103000
U.S. Department of Energy

Keywords

Demand side management
Grid-interactive efficient buildings
Urban-scale energy modeling
Valuation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/en14010132

Cite this

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Potential energy, demand, emissions, and cost savings distributions for buildings in a utility’s service area

Abstract

Funding

Keywords

UN SDGs

Access to Document

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