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Article

Potential Energy, Demand, Emissions, and Cost Savings Distributions for Buildings in a Utility’s Service Area

Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
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Energies 2021, 14(1), 132; https://doi.org/10.3390/en14010132
Received: 1 November 2020 / Revised: 10 December 2020 / Accepted: 14 December 2020 / Published: 29 December 2020
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. View Full-Text
Keywords: urban-scale energy modeling; grid-interactive efficient buildings; valuation; demand side management urban-scale energy modeling; grid-interactive efficient buildings; valuation; demand side management
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MDPI and ACS Style

Bass, B.; New, J.; Copeland, W. Potential Energy, Demand, Emissions, and Cost Savings Distributions for Buildings in a Utility’s Service Area. Energies 2021, 14, 132. https://doi.org/10.3390/en14010132

AMA Style

Bass B, New J, Copeland W. Potential Energy, Demand, Emissions, and Cost Savings Distributions for Buildings in a Utility’s Service Area. Energies. 2021; 14(1):132. https://doi.org/10.3390/en14010132

Chicago/Turabian Style

Bass, Brett, Joshua New, and William Copeland. 2021. "Potential Energy, Demand, Emissions, and Cost Savings Distributions for Buildings in a Utility’s Service Area" Energies 14, no. 1: 132. https://doi.org/10.3390/en14010132

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