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An assessment framework to quantify the interaction between the built environment and the electricity grid

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  • Cubi, Eduard
  • Akbilgic, Oguz
  • Bergerson, Joule

Abstract

Electricity consumption in buildings is highly variable on time scales of seasons, hours, minutes, and even seconds. Yet, energy performance in building sustainability standards and rating systems is typically assessed in terms of total annual energy use, cost, and/or GHG emissions. Given that in North America buildings account for between 45 and 75% (depending on the region) of total electricity consumed, it is relevant to define an assessment framework to quantify the impact of variability in building electricity demand on the electricity system. This study proposes “Grid Compensation Scores” (GCS) that assess the contribution of a building electricity demand profile to increasing or decreasing the variability in the system electricity demand profile.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:206:y:2017:i:c:p:22-31
    DOI: 10.1016/j.apenergy.2017.08.150
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    References listed on IDEAS

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    Cited by:

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    2. Michel Noussan & Roberta Roberto & Benedetto Nastasi, 2018. "Performance Indicators of Electricity Generation at Country Level—The Case of Italy," Energies, MDPI, vol. 11(3), pages 1-14, March.
    3. Buffat, René & Froemelt, Andreas & Heeren, Niko & Raubal, Martin & Hellweg, Stefanie, 2017. "Big data GIS analysis for novel approaches in building stock modelling," Applied Energy, Elsevier, vol. 208(C), pages 277-290.
    4. Gao, Dian-ce & Sun, Yongjun & Zhou, Chuanwen & Bu, Yu & Bao, Yan & Chai, Jiale, 2020. "Numerical and experimental study on a double-layered coating design using supplemental property particles for achieving user-desired thermal and aesthetic performance," Energy, Elsevier, vol. 211(C).

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