4.7 Article

Long-term carbon emission reduction potential of building retrofits with dynamically changing electricity emission factors

Journal

BUILDING AND ENVIRONMENT
Volume 210, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2021.108683

Keywords

Carbon emission reduction; Building retrofits; Building energy model; Simulation; Electricity emission factors

Funding

  1. National Science Foundation [CBET-2110171]

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This study introduces a novel method to accurately predict emission reduction potential of building retrofits by using dynamically changing electricity emission factors. The research focuses on medium office buildings in five locations in the U.S. and reveals new phenomena on the emission reduction potential, providing guidance for future building retrofits.
Buildings account for approximately 36% of the United States' total carbon emissions and building retrofits have great potential to reduce carbon emissions. Current research adopts a constant electricity emission factor although it changes over time due to the increase of renewable energy generation. To accurately predict emission reduction potential of building retrofits, this study develops a novel method by using dynamically changing electricity emission factors. Using medium office buildings as an example, we predicted emission reduction of eight building retrofit measures from 2020 to 2050 in five locations in the U.S. with distinct climates and renewable adoption rates. To evaluate emission reduction potential sensitivity to the compositions of electricity generation, five scenarios for renewable energy adoptions are investigated. The results reveal several new phenomena on emission reduction potential of building retrofits for medium offices in the U.S.: (1) it decreases from 2026 to 2050; (2) it has the same trend with coal usage; and (3) it reaches the maximum under the high renewable cost scenario. Based on the results, it is recommended that building retrofits should focus on 1) improving lighting and equipment efficiency; 2) locations with higher coal usage rate, and 3) buildings under the high renewable cost scenario. The new method can also be used for predicting emission reduction potential of the building sector in the U.S. by applying to other building types and regions.

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