LMEs are calculated at each power system node in a manner very similar to the Locational Marginal Prices (LMPs) used to set wholesale electricity market prices. LMEs measure emissions by identifying the marginal generators: the generators that would have been producing energy but for the renewable injection to the grid at that location at that moment.
LMEs reflect the impact of transmission congestion on carbon emissions and can be used to support granular siting decisions as well as generation technology selection.
High time-granularity LMEs can accurately evaluate the carbon benefits of energy storage that charges when emissions intensities are low and discharges when emissions intensities are high.
LMEs support calculation of carbon abatement cost effectiveness metrics for candidate clean energy projects, enabling investors, consumers, and policymakers to maximize the carbon impact of their clean energy program dollars.
Learn how Akamai uses LME data to calculate avoided emissions more accurately, understand why their emissions are what they are, and to evaluate new PPA opportunities.
Read how Broad Reach Power, a leader in the energy storage space, uses LMEs to measure and communicate the carbon emissions impact of energy storage.
The carbon emissions avoided by a given MWh of clean energy varies widely, even across projects located within the same region in the grid. REsurety’s LME technology provides hourly visibility into the projects and activities that maximize your path to decarbonization, and those that don’t.
Brian Janous, GM of Energy and Renewables
Rich Santoroski, Chief Risk Office
Kathleen Spees, Principal
The Brattle Group
Joan Hutchinson, Managing Director
David Scaysbrook, Managing Partner
Mike Mattera, Director of Corporate Sustainability
Paul Choi, EVP of Origination
Broad Reach Power
Traditional methods of Scope 2 carbon accounting overlook the meaningful differences between projects and load center locations. Learn more about Locational Marginal Emissions and what REsurety is doing to bring in much needed transparency and accuracy into avoided carbon emissions calculations.