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

Brett Bass, Joshua New and William Copeland
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Brett Bass: Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Joshua New: Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
William Copeland: Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA

Energies, 2020, vol. 14, issue 1, 1-23

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 km 2 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.

Keywords: urban-scale energy modeling; grid-interactive efficient buildings; valuation; demand side management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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