Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 14 min ago
PreprintCC BY-NC-ND 4.0arXiv

Evaluating Proposed Spatiotemporal Matching for Scope 2 Market-based Accounting: emissions, cost, and policy tradeoffs for hourly matching and tighter geographic constraints

Abstract

Corporate voluntary electricity procurement represents a large share of clean energy investment, yet accounting rules for the electricity and associated emissions claims are contested. Whether tighter spatiotemporal constraints on carbon-free electricity would substantially reduce emissions or primarily raise compliance costs is unknown. Using an integrated capacity expansion model with flexible alternate scenarios of deliverability zones and policy contexts, this analysis suggests that across most scenarios, geographically narrower deliverability zones are associated with greater consequential emissions reductions along with higher EAC prices. National results show that in the Reference Technology scenario, the model preferentially deploys natural gas with CCS to meet new CFE demand. In the Limited Technology scenarios where natural gas with CCS is unavailable, wind and solar resources are deployed. Individual regions show varying costs of CO2 abatement under the scenarios, with the highest EAC prices occurring under Limited Technology assumptions and Fine spatial boundaries. This regional cost variation for CFE procurement could have implications for future load siting decisions or for which existing loads CFE will be procured to match. These findings highlight the importance of clearly defining deliverability zones in shaping both the emissions impact and cost of voluntary CFE procurement.

Related

  1. RadMaps: A Geospatial Framework for Simultaneously Modelling Capacity and Geographic Constraints on Radiotherapy Access
    Laurence Wroe, Archie Brown, Sophia Martin +2
    arXivPreprintCC BY 4.0Full textBiological & medical physicsarXiv
  2. Evaluating a Large Language Model for Radiotherapy Patient Scheduling under Realistic Clinical and Operational Constraints: a Feasibility Study
    Eric Zhang, Youfang Lai, Wen Li +4
    arXivPreprintCC BY 4.0Full textBiological & medical physicsarXiv
  3. Only Linear Constraints Survive Coarse-Graining: Evaluating Physics-Constrained Neural Operators on Stochastically Forced Turbulence
    Michael Groom, Rafael Oliveira
    arXivPreprintCC BY 4.0Full textComputational physicsFluid dynamicsarXiv
  4. Low-x parton densities accounting for absorptive effects and exclusive J/ψ and Υ data from the LHC
    V Bertone, C.A Flett, A.D Martin +1
    HALPreprintLicence not statedHigh-energy & particle physicsHAL
  5. Coherent Multidimensional Spectroscopy at the Few-Cycle Limit: Accounting for the Pump Spectrum
    Jacob S. Higgins, Gerrit N. Christenson, James D. Gaynor
    arXivPreprintarXiv licenceFull textPhysical chemistryOptics & photonicsarXiv
BibTeX
@misc{livengood2026evaluating,
  title = {{Evaluating Proposed Spatiotemporal Matching for Scope 2 Market-based Accounting: emissions, cost, and policy tradeoffs for hourly matching and tighter geographic constraints}},
  author = {Daniel Livengood and Arin Kaye and Nils Johnson and John Bistline and Aranya Venkatesh and Bailie Neary and Adam Diamant},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.22022},
  eprint = {2610.22022},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.22022},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - UNPB
TI  - Evaluating Proposed Spatiotemporal Matching for Scope 2 Market-based Accounting: emissions, cost, and policy tradeoffs for hourly matching and tighter geographic constraints
AU  - Daniel Livengood
AU  - Arin Kaye
AU  - Nils Johnson
AU  - John Bistline
AU  - Aranya Venkatesh
AU  - Bailie Neary
AU  - Adam Diamant
PY  - 2026
DA  - 2026/10/15
PB  - arXiv
DO  - 10.48550/arxiv.2610.22022
UR  - https://arxiv.org/abs/2610.22022
AB  - Corporate voluntary electricity procurement represents a large share of clean energy investment, yet accounting rules for the electricity and associated emissions claims are contested. Whether tighter spatiotemporal constraints on carbon-free electricity would substantially reduce emissions or primarily raise compliance costs is unknown. Using an integrated capacity expansion model with flexible alternate scenarios of deliverability zones and policy contexts, this analysis suggests that across most scenarios, geographically narrower deliverability zones are associated with greater consequential emissions reductions along with higher EAC prices. National results show that in the Reference Technology scenario, the model preferentially deploys natural gas with CCS to meet new CFE demand. In the Limited Technology scenarios where natural gas with CCS is unavailable, wind and solar resources are deployed. Individual regions show varying costs of CO2 abatement under the scenarios, with the highest EAC prices occurring under Limited Technology assumptions and Fine spatial boundaries. This regional cost variation for CFE procurement could have implications for future load siting decisions or for which existing loads CFE will be procured to match. These findings highlight the importance of clearly defining deliverability zones in shaping both the emissions impact and cost of voluntary CFE procurement.
ER  -