On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations
E-Energy ’24, June 04–07, 2024, Singapore, Singapore
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
ACM|The 15th ACM International Conference on Future and Sustainable Energy Systems
2024
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| Online Access: | https://hdl.handle.net/1721.1/155786 |
| _version_ | 1811096139565367296 |
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| author | Sukprasert, Thanathorn Bashir, Noman Souza, Abel Irwin, David Shenoy, Prashant |
| author_facet | Sukprasert, Thanathorn Bashir, Noman Souza, Abel Irwin, David Shenoy, Prashant |
| author_sort | Sukprasert, Thanathorn |
| collection | MIT |
| description | E-Energy ’24, June 04–07, 2024, Singapore, Singapore |
| first_indexed | 2024-09-23T16:38:47Z |
| format | Article |
| id | mit-1721.1/155786 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-24T16:37:52Z |
| publishDate | 2024 |
| publisher | ACM|The 15th ACM International Conference on Future and Sustainable Energy Systems |
| record_format | dspace |
| spelling | mit-1721.1/1557862024-09-23T04:08:01Z On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations Sukprasert, Thanathorn Bashir, Noman Souza, Abel Irwin, David Shenoy, Prashant E-Energy ’24, June 04–07, 2024, Singapore, Singapore The carbon intensity of grid-supplied electricity depends on the mix of generation sources used to satisfy its demand and varies widely over time and across locations. There are two types of carbon intensity signals: average and marginal. Both signals provide distinct information about grid operations and affect the electric grid’s short- and long-term functioning in different ways. Unfortunately, there is a lack of consensus on the “right” signal for carbon-aware optimizations, and decarbonization efforts across domains have used both signals to decide when and where to shift demand. To understand the implications of signal selection on carbon-aware optimizations, this paper performs a data-driven analysis using both the average and marginal carbon intensity. Our analysis for 65 regions reveals multiple insights, including i) both signals are statistically different with very low correlation between them, ii) optimizing for one signal could lead to more carbon emissions from the other signal’s standpoint, and iii) differences in signal characteristics in each region lead to different electricity use incentives. 2024-07-24T18:49:01Z 2024-07-24T18:49:01Z 2024-05-31 2024-06-01T07:55:43Z Article http://purl.org/eprint/type/ConferencePaper 979-8-4007-0480-2 https://hdl.handle.net/1721.1/155786 Sukprasert, Thanathorn, Bashir, Noman, Souza, Abel, Irwin, David and Shenoy, Prashant. 2024. "On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations." PUBLISHER_CC en 10.1145/3632775.3661953 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The author(s) application/pdf ACM|The 15th ACM International Conference on Future and Sustainable Energy Systems Association for Computing Machinery |
| spellingShingle | Sukprasert, Thanathorn Bashir, Noman Souza, Abel Irwin, David Shenoy, Prashant On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations |
| title | On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations |
| title_full | On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations |
| title_fullStr | On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations |
| title_full_unstemmed | On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations |
| title_short | On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations |
| title_sort | on the implications of choosing average versus marginal carbon intensity signals on carbon aware optimizations |
| url | https://hdl.handle.net/1721.1/155786 |
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