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Incorporation of electricity GHG emissions intensity variability into building environmental assessment

Author

Listed:
  • Cubi, Eduard
  • Doluweera, Ganesh
  • Bergerson, Joule

Abstract

Current building energy and GHG emissions assessments do not account for the variable performance of the electric grid. Incorporating hourly grid variability into building assessment methods can help to better prioritize energy efficiency measures that result in the largest environmental benefits. This article proposes a method to incorporate GHG emissions intensity changes due to grid variability into building environmental assessment. The proposed method encourages building systems that reduce electricity use during peak periods while accounting for differences in grid GHG emissions intensity (i.e., peak shaving is more strongly encouraged in grids that have GHG intense peak generation).

Suggested Citation

  • Cubi, Eduard & Doluweera, Ganesh & Bergerson, Joule, 2015. "Incorporation of electricity GHG emissions intensity variability into building environmental assessment," Applied Energy, Elsevier, vol. 159(C), pages 62-69.
  • Handle: RePEc:eee:appene:v:159:y:2015:i:c:p:62-69
    DOI: 10.1016/j.apenergy.2015.08.091
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    References listed on IDEAS

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    3. Salom, Jaume & Marszal, Anna Joanna & Widén, Joakim & Candanedo, José & Lindberg, Karen Byskov, 2014. "Analysis of load match and grid interaction indicators in net zero energy buildings with simulated and monitored data," Applied Energy, Elsevier, vol. 136(C), pages 119-131.
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    Cited by:

    1. Klein, Konstantin & Herkel, Sebastian & Henning, Hans-Martin & Felsmann, Clemens, 2017. "Load shifting using the heating and cooling system of an office building: Quantitative potential evaluation for different flexibility and storage options," Applied Energy, Elsevier, vol. 203(C), pages 917-937.
    2. Cubi, Eduard & Akbilgic, Oguz & Bergerson, Joule, 2017. "An assessment framework to quantify the interaction between the built environment and the electricity grid," Applied Energy, Elsevier, vol. 206(C), pages 22-31.
    3. Rui Jiang & Rongrong Li, 2017. "Decomposition and Decoupling Analysis of Life-Cycle Carbon Emission in China’s Building Sector," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
    4. Wang, Yong & Li, Lin, 2016. "Critical peak electricity pricing for sustainable manufacturing: Modeling and case studies," Applied Energy, Elsevier, vol. 175(C), pages 40-53.
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    6. Ming-Lun Alan Fong, 2021. "Sustainable Ventilation Strategies for a Medium-Sized Space with Regional Effect," Sustainability, MDPI, vol. 13(9), pages 1-18, April.

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