Standardized benchmark of historical compound wind and solar energy droughts across the Continental United States.
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| Title: | Standardized benchmark of historical compound wind and solar energy droughts across the Continental United States. |
|---|---|
| Authors: | Bracken, Cameron1 (AUTHOR) cameron.bracken@pnnl.gov, Voisin, Nathalie1 (AUTHOR), Burleyson, Casey D.1 (AUTHOR), Campbell, Allison M.1 (AUTHOR), Hou, Z. Jason1 (AUTHOR), Broman, Daniel1 (AUTHOR) |
| Source: | Renewable Energy: An International Journal. Jan2024, Vol. 220, pN.PAG-N.PAG. 1p. |
| Subject Terms: | *Droughts, *Solar energy, *Wind power, *Renewable energy sources, *Power resources, Electric power distribution grids |
| Geographic Terms: | Texas, California |
| Abstract: | As we move towards a decarbonized grid, reliance on weather-dependent energy increases as does exposure to prolonged natural resource shortages known as energy droughts. Compound energy droughts occur when two or more predominant renewable energy sources simultaneously are in drought conditions. In this study we present a methodology and dataset for examining compound wind and solar energy droughts as well as the first standardized benchmark of energy droughts across the Continental United States (CONUS) for a 2020 infrastructure. Using a recently developed dataset of simulated hourly plant level generation which includes thousands of wind and solar plants, we examine the frequency, duration, magnitude, and seasonality of energy droughts at a variety of temporal and spatial scales. Results are presented for 15 Balancing Authorities (BAs), regions of the U.S. power grid where wind and solar are must-take resources by the power grid and must be balanced. Compound wind and solar droughts are shown to have distinct spatial and temporal patterns across the CONUS. BA-level load is also included in the drought analysis to quantify events where high load is coincident with wind and solar droughts. We find that energy drought characteristics are regional and the longest droughts can last from 16 to 37 continuous hours, and up to 6 days. The longest hourly energy droughts occur in Texas while the longest daily droughts occur in California. Compound energy drought events that include load are more severe on average compared to events that involve only wind and solar. In addition, we find that compound high load events occur more often during compound wind and solar droughts that would be expected due to chance. The insights obtained from these findings and the summarized characteristics of energy drought provide valuable guidance on grid planning and storage sizing at the regional scale. [Display omitted] • Compound wind and solar energy droughts are analyzed at grid relevant scales • A metric for comparing the magnitude of compound energy droughts is developed • The longest compound droughts can last up to 37 continuous hours or 6 straight days • The longest hourly and daily droughts occur in Texas and California, respectively • Compound energy drought are partially connected with peak load events [ABSTRACT FROM AUTHOR] |
| Copyright of Renewable Energy: An International Journal is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
| FullText | Text: Availability: 0 |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 174322015 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Standardized benchmark of historical compound wind and solar energy droughts across the Continental United States. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bracken%2C+Cameron%22">Bracken, Cameron</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cameron.bracken@pnnl.gov</i><br /><searchLink fieldCode="AR" term="%22Voisin%2C+Nathalie%22">Voisin, Nathalie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burleyson%2C+Casey+D%2E%22">Burleyson, Casey D.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Campbell%2C+Allison+M%2E%22">Campbell, Allison M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hou%2C+Z%2E+Jason%22">Hou, Z. Jason</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Broman%2C+Daniel%22">Broman, Daniel</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Renewable+Energy%3A+An+International+Journal%22">Renewable Energy: An International Journal</searchLink>. Jan2024, Vol. 220, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Droughts%22">Droughts</searchLink><br />*<searchLink fieldCode="DE" term="%22Solar+energy%22">Solar energy</searchLink><br />*<searchLink fieldCode="DE" term="%22Wind+power%22">Wind power</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+resources%22">Power resources</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Texas%22">Texas</searchLink><br /><searchLink fieldCode="DE" term="%22California%22">California</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: As we move towards a decarbonized grid, reliance on weather-dependent energy increases as does exposure to prolonged natural resource shortages known as energy droughts. Compound energy droughts occur when two or more predominant renewable energy sources simultaneously are in drought conditions. In this study we present a methodology and dataset for examining compound wind and solar energy droughts as well as the first standardized benchmark of energy droughts across the Continental United States (CONUS) for a 2020 infrastructure. Using a recently developed dataset of simulated hourly plant level generation which includes thousands of wind and solar plants, we examine the frequency, duration, magnitude, and seasonality of energy droughts at a variety of temporal and spatial scales. Results are presented for 15 Balancing Authorities (BAs), regions of the U.S. power grid where wind and solar are must-take resources by the power grid and must be balanced. Compound wind and solar droughts are shown to have distinct spatial and temporal patterns across the CONUS. BA-level load is also included in the drought analysis to quantify events where high load is coincident with wind and solar droughts. We find that energy drought characteristics are regional and the longest droughts can last from 16 to 37 continuous hours, and up to 6 days. The longest hourly energy droughts occur in Texas while the longest daily droughts occur in California. Compound energy drought events that include load are more severe on average compared to events that involve only wind and solar. In addition, we find that compound high load events occur more often during compound wind and solar droughts that would be expected due to chance. The insights obtained from these findings and the summarized characteristics of energy drought provide valuable guidance on grid planning and storage sizing at the regional scale. [Display omitted] • Compound wind and solar energy droughts are analyzed at grid relevant scales • A metric for comparing the magnitude of compound energy droughts is developed • The longest compound droughts can last up to 37 continuous hours or 6 straight days • The longest hourly and daily droughts occur in Texas and California, respectively • Compound energy drought are partially connected with peak load events [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Renewable Energy: An International Journal is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=174322015 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.renene.2023.119550 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Droughts Type: general – SubjectFull: Solar energy Type: general – SubjectFull: Wind power Type: general – SubjectFull: Renewable energy sources Type: general – SubjectFull: Power resources Type: general – SubjectFull: Electric power distribution grids Type: general – SubjectFull: Texas Type: general – SubjectFull: California Type: general Titles: – TitleFull: Standardized benchmark of historical compound wind and solar energy droughts across the Continental United States. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bracken, Cameron – PersonEntity: Name: NameFull: Voisin, Nathalie – PersonEntity: Name: NameFull: Burleyson, Casey D. – PersonEntity: Name: NameFull: Campbell, Allison M. – PersonEntity: Name: NameFull: Hou, Z. Jason – PersonEntity: Name: NameFull: Broman, Daniel IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09601481 Numbering: – Type: volume Value: 220 Titles: – TitleFull: Renewable Energy: An International Journal Type: main |
| ResultId | 1 |
