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Reduction in Emissions by Massive Solar Plant Integration in the US Power Grid

Author

Listed:
  • Esteban A. Soto

    (Sustainability Solutions Group, Vancouver, BC V6B 1G8, Canada)

  • Ebisa Wollega

    (Department of Engineering, Colorado State University Pueblo, Pueblo, CO 81001, USA)

  • Alexander Vizcarrondo Ortega

    (Department of Industrial Engineering, University of Puerto Rico—Mayaguez, Mayaguez, PR 00680, USA)

  • Andrea Hernandez-Guzman

    (Department of Industrial Engineering, University of Puerto Rico—Mayaguez, Mayaguez, PR 00680, USA)

  • Lisa Bosman

    (Purdue Polytechnic Institute, Purdue University, West Lafayette, IN 47907, USA)

Abstract

Fossil fuels, the predominant energy source in the United States, have been identified as major contributors to environmental pollution through the release of harmful emissions. As a countermeasure, there has been an increasing focus on the exploration and development of cleaner energy alternatives to alleviate the environmental degradation caused by fossil fuels and to satisfy the growing energy needs. This study conducted scenario analyses to evaluate the impact of integrating solar energy into specific US power grids on reducing carbon emissions. The analysis encompassed electrical systems within California, New England, New York, and the Southwest, utilizing datasets from the Energy Information Administration and National Renewable Energy Laboratory. The Energy Information Administration dataset includes information on net generation according to each source and carbon emissions according to fuel type, whereas the National Renewable Energy Laboratory dataset provides hourly projections for 6000 theoretical photovoltaic installations and detailed solar energy output data every five minutes over a year. Our findings indicated a notable decrease in carbon dioxide emissions following the introduction of solar power facilities. The most significant reductions were observed in the Southwest and California, attributed to solar plant integration. Conversely, New York and New England were identified as regions requiring additional policy measures and incentives to meet the emission reduction goals.

Suggested Citation

  • Esteban A. Soto & Ebisa Wollega & Alexander Vizcarrondo Ortega & Andrea Hernandez-Guzman & Lisa Bosman, 2024. "Reduction in Emissions by Massive Solar Plant Integration in the US Power Grid," Energies, MDPI, vol. 17(7), pages 1-15, March.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:7:p:1611-:d:1365608
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    References listed on IDEAS

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    1. R. Kinney & P. Crucitti & R. Albert & V. Latora, 2005. "Modeling cascading failures in the North American power grid," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 46(1), pages 101-107, July.
    2. Shayegh, Soheil & Sanchez, Daniel L., 2021. "Impact of market design on cost-effectiveness of renewable portfolio standards," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    3. Shazia Kousar & Muhammad Afzal & Farhan Ahmed & Štefan Bojnec, 2022. "Environmental Awareness and Air Quality: The Mediating Role of Environmental Protective Behaviors," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    4. Anderson, Austin & Rezaie, Behnaz, 2019. "Geothermal technology: Trends and potential role in a sustainable future," Applied Energy, Elsevier, vol. 248(C), pages 18-34.
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