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Low carbon standard and transmission investment analysis in the new multi-region US power sector model FACETS

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  • Wright, Evelyn
  • Kanudia, Amit

Abstract

This paper presents a new US multi-region energy systems model built in the TIMES modeling system: the Framework for Analysis of Climate-Energy-Technology Systems (FACETS). The model is designed to analyze energy technology options and policy scenarios across sectors and regions, including the increasingly important interactions between state, regional, and federal policies. FACETS contains a realistic representation of key infrastructure, while retaining the flexibility to explore deep carbon emission reductions and other large changes from the baseline energy system. It is built using a unique, flexible multi-region approach so that the geographic relationships that drive the costs of energy technology transitions can be captured. Significant enhancements to the Veda-TIMES system and a GIS-results viewer permit the massive data handling needed to represent these relationships and interpret results. An analysis of a federal clean energy standard (CES) and investment in the transmission grid is presented.

Suggested Citation

  • Wright, Evelyn & Kanudia, Amit, 2014. "Low carbon standard and transmission investment analysis in the new multi-region US power sector model FACETS," Energy Economics, Elsevier, vol. 46(C), pages 136-150.
    • Handle: RePEc:eee:eneeco:v:46:y:2014:i:c:p:136-150
    DOI: 10.1016/j.eneco.2014.09.013
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    Cited by:

    1. Shafiullah, Md & Rahman, Syed Masiur & Mortoja, Md. Golam & Al-Ramadan, Baqer, 2016. "Role of spatial analysis technology in power system industry: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 584-595.
    2. John E. T. Bistline & Geoffrey Blanford & John Grant & Eladio Knipping & David L. McCollum & Uarporn Nopmongcol & Heidi Scarth & Tejas Shah & Greg Yarwood, 2022. "Economy-wide evaluation of CO2 and air quality impacts of electrification in the United States," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    3. Panos, Evangelos & Kober, Tom & Wokaun, Alexander, 2019. "Long term evaluation of electric storage technologies vs alternative flexibility options for the Swiss energy system," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    4. Wright, Evelyn & Kanudia, Amit, 2016. "Variation in outcomes and leakage potential across Clean Power Plan compliance designs," Energy Economics, Elsevier, vol. 60(C), pages 438-450.
    5. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2019. "Coordination of policy goals between renewable portfolio standards and carbon caps: A quantitative assessment in China," Applied Energy, Elsevier, vol. 237(C), pages 25-35.
    6. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2016. "Inter-regional power grid planning up to 2030 in China considering renewable energy development and regional pollutant control: A multi-region bottom-up optimization model," Applied Energy, Elsevier, vol. 184(C), pages 641-658.
    7. Das, Partha & Kanudia, Amit & Bhakar, Rohit & Mathur, Jyotirmay, 2022. "Intra-regional renewable energy resource variability in long-term energy system planning," Energy, Elsevier, vol. 245(C).

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    More about this item

    Keywords

    Clean energy standard; Energy system model; Multi-region modeling; Transmission investment;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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