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Incorporating energy efficiency into electric power transmission planning: A western United States case study

Author

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  • Barbose, Galen L.
  • Sanstad, Alan H.
  • Goldman, Charles A.

Abstract

Driven by system reliability goals and the need to integrate significantly increased renewable power generation, long-range, bulk-power transmission planning processes in the United States are undergoing major changes. At the same time, energy efficiency is an increasing share of the electricity resource mix in many regions, and has become a centerpiece of many utility resource plans and state policies as a means of meeting electricity demand, complementing supply-side sources, and reducing carbon dioxide emissions from the electric power system. The paper describes an innovative project in the western United States to explicitly incorporate end-use efficiency into load forecasts – projections of electricity consumption and demand – that are a critical input into transmission planning and transmission planning studies. Institutional and regulatory background and context are reviewed, along with a detailed discussion of data sources and analytical procedures used to integrate efficiency into load forecasts. The analysis is intended as a practical example to illustrate the kinds of technical and institutional issues that must be addressed in order to incorporate energy efficiency into regional transmission planning activities.

Suggested Citation

  • Barbose, Galen L. & Sanstad, Alan H. & Goldman, Charles A., 2014. "Incorporating energy efficiency into electric power transmission planning: A western United States case study," Energy Policy, Elsevier, vol. 67(C), pages 319-329.
    • Handle: RePEc:eee:enepol:v:67:y:2014:i:c:p:319-329
    DOI: 10.1016/j.enpol.2013.12.051
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    Cited by:

    1. Wei Wei & Shuangying Ding & Silin Zheng & Jingjing Ma & Tong Niu & Jinkai Li, 2021. "Environmental Efficiency Evaluation of China’s Power Industry Based on the Two-Stage Network Slack-Based Measure Model," IJERPH, MDPI, vol. 18(23), pages 1-21, November.
    2. Zhang, Ning & Hu, Zhaoguang & Shen, Bo & He, Gang & Zheng, Yanan, 2017. "An integrated source-grid-load planning model at the macro level: Case study for China's power sector," Energy, Elsevier, vol. 126(C), pages 231-246.

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