Assessing the Potential to Reduce U.S. Building CO2 Emissions 80% by 2050

Langevin, Jared; Harris, Chioke; Reyna, Janet

doi:10.1016/j.joule.2019.07.013

Cited by 121 publications

(60 citation statements)

References 37 publications

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“…Given that Scout's analysis approach has been described in detail elsewhere [28], we focus on describing the modifications we made to this approach to enable time-sensitive assessments (see appendix B for an overview of Scout's analysis approach and baseline data available online at stacks.iop.org/ERL/14/ 124012/mmedia). Specifically, we use typical daily energy load, price, and emissions shapes for each season and Scout climate region to re-apportion Scout's baseline annual energy, cost, and emissions totals, which reflect EIA Annual Energy Outlook Reference Case projections [29], across all hours of a year.…”

Section: Methodsmentioning

confidence: 99%

Assessing the time-sensitive impacts of energy efficiency and flexibility in the US building sector

Satre-Meloy

Langevin

2019

Environ. Res. Lett.

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The building sector consumes 75% of US electricity, offering substantial energy, cost, and CO 2 emissions savings potential. New technologies enable buildings to flexibly manage electric loads across different times of day and season in support of a low-cost, low-carbon electric grid. Assessing the value of such technologies requires an understanding of building electric load variability at a higher temporal resolution than is demonstrated in previous studies of US building efficiency potential. We adapt Scout, an open-access model of US building energy use, to characterize sub-annual variations in baseline building electricity use, costs, and emissions at the national scale. We apply this baseline in time-sensitive analyses of the energy, cost, and CO 2 emissions savings potential of various degrees of energy efficiency and flexibility, finding that efficiency continues to have strong value in a timesensitive assessment framework while the value of flexibility depends on assumed electricity rates, measure magnitude and duration, and the amount of savings already captured by efficiency.

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Section: Methodsmentioning

confidence: 99%

Assessing the time-sensitive impacts of energy efficiency and flexibility in the US building sector

Satre-Meloy

Langevin

2019

Environ. Res. Lett.

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“…Addressing these questions required a more fine-grained stock analysis that accounts for the interaction of different policies, their timing and sectoral scope. At the other end of the spectrum, bottom-up stock modeling approaches have been used to account for the heterogeneity in building technology and end-use characteristics (Langevin et al 2019;Nägeli et al 2020;Brøgger & Wittchen 2018). Such approaches are more complex and require more detailed building-level characteristics and end-use data.…”

Section: Seattle's Policy Frameworkmentioning

confidence: 99%

GHG policy impacts for Seattle’s buildings: targets, timing, and scope

Walter

Mathew

2021

Buildings and Cities

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Many US cities are addressing climate change by setting goals to reduce their greenhouse gas (GHG) emissions by a specified amount within a specified time period. In order to achieve these goals, reducing emissions from existing buildings is crucial. Many cities are passing legislation to target existing buildings through benchmarking, auditing, retuning, or energy or emissions performance standards. As cities design legislation, they must consider the timing of the policies, how to prioritize building types and sizes, and how these design decisions will impact the city's emissions. This paper addresses these questions for one particular US city: Seattle, Washington. A model of Seattle's building stock was created with benchmarking and tax assessor data. It was then used to predict GHG emissions reductions due to different policy implementations for existing commercial and multifamily buildings. Key findings are: (1) the proposed emissions policy is expected to reduce cumulative emissions from buildings by 19% between 2020 and 2050; (2) delaying the implementation of the policy by five years could limit savings to 12%; and (3) including smaller buildings in the policy could increase savings to 34%. The lessons learned and how this can be used by other cities are discussed.

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“…To demonstrate the framework's application, we qualitatively use it to consider six EE measures with a variety of different control or communication technologies. There are many EE measures (e.g., the Scout model contains over 150 measures [Langevin et al, 2019]). Nearly all could include DR-interactive effects by, at a minimum, modifying the baseline customer load.…”

Section: Applying the Frameworkmentioning

confidence: 99%

A Conceptual Framework to Describe Energy Efficiency and Demand Response Interactions

Satchwell

Cappers

Deason

et al. 2020

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Energy efficiency (EE) and demand response (DR) resources provide important utility system and ratepayer benefits. At the same time, the rapid change in the amount and type of variable renewable energy, like solar and wind, is reshaping the role and economic value of EE and DR, and will likely affect time-dependent valuation of EE and DR measures. Utilities are increasingly interested in integrating EE and DR measures and technologies (as well as other distributed energy resources) as a strategic approach to improve their collective cost-effectiveness and performance. However, the specific EE and DR features that may be best integrated, the interplay between changing EE and DR resource potential, and the resulting utility system impacts, are not well understood.

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Assessing the Potential to Reduce U.S. Building CO2 Emissions 80% by 2050

Cited by 121 publications

References 37 publications

Assessing the time-sensitive impacts of energy efficiency and flexibility in the US building sector

Assessing the time-sensitive impacts of energy efficiency and flexibility in the US building sector

GHG policy impacts for Seattle’s buildings: targets, timing, and scope

A Conceptual Framework to Describe Energy Efficiency and Demand Response Interactions

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