Marginal Emissions Factors for Electricity Generation in the Midcontinent ISO

Author: Thind, Maninder; et al. | Emissions, Grid, U.S.

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Abstract.
Environmental consequences of electricity generation are often determined using average emission factors. However, as different interventions are incrementally pursued in electricity systems, the resulting marginal change in emissions may differ from what one would predict based on system-average conditions. Here, we estimate average emission factors and marginal emission factors for CO₂, SO₂, and NOx from fossil and nonfossil generators in the Midcontinent Independent System Operator (MISO) region during years 2007–2016. We analyze multiple spatial scales (all MISO; each of the 11 MISO states; each utility; each generator) and use MISO data to characterize differences between the two emission factors (average; marginal). We also explore temporal trends in emissions factors by hour, day, month, and year, as well as the differences that arise from including only fossil generators versus total generation. We find, for example, that marginal emission factors are generally higher during late-night and early morning compared to afternoons. Overall, in MISO, average emission factors are generally higher than marginal estimates (typical difference: ∼20%). This means that the true environmental benefit of an energy efficiency program may be ∼20% smaller than anticipated if one were to use average emissions factors. Our analysis can usefully be extended to other regions to support effective near-term technical, policy and investment decisions based on marginal rather than only average emission factors.

Maninder P. S. Thind and Julian D. Marshall, Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington
Elizabeth J. Wilson, Humphrey School of Public Affairs, University of Minnesota, Minneapolis, and Environmental Studies, Dartmouth College, Hanover, New Hampshire
Inês L. Azevedo, Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania

Environmental Science and Technology, 2017, 51 (24), pp 14445–14452
DOI: 10.1021/acs.est.7b03047

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