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Comparative Assessment of Models and Methods To Calculate Grid Electricity Emissions.

Authors :
Ryan, Nicole A.
Johnson, Jeremiah X.
Keoleian, Gregory A.
Source :
Environmental Science & Technology. 9/6/2016, Vol. 50 Issue 17, p8937-8953. 9p.
Publication Year :
2016

Abstract

Due to the complexity of power systems, tracking emissions attributable to a specific electrical load is a daunting challenge but essential for many environmental impact studies. Currently, no consensus exists on appropriate methods for quantifying emissions from particular electricity loads. This paper reviews a wide range of the existing methods, detailing their functionality, tractability, and appropriate use. We identified and reviewed 32 methods and models and classified them into two distinct categories: empirical data and relationship models and power system optimization models. To illustrate the impact of method selection, we calculate the CO2 combustion emissions factors associated with electric-vehicle charging using 10 methods at nine charging station locations around the United States. Across the methods, we found an up to 68% difference from the mean CO2 emissions factor for a given charging site among both marginal and average emissions factors and up to a 63% difference from the average across average emissions factors. Our results underscore the importance of method selection and the need for a consensus on approaches appropriate for particular loads and research questions being addressed in order to achieve results that are more consistent across studies and allow for soundly supported policy decisions. The paper addresses this issue by offering a set of recommendations for determining an appropriate model type on the basis of the load characteristics and study objectives. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0013936X
Volume :
50
Issue :
17
Database :
Academic Search Index
Journal :
Environmental Science & Technology
Publication Type :
Academic Journal
Accession number :
118368425
Full Text :
https://doi.org/10.1021/acs.est.5b05216