Anthesis Group Uses Verse Data Hub for Smarter Emissions Forecasts
Anthesis Group is using Verse to help clients accurately plan their decarbonization and clean energy investment strategies.
“Projected grid emissions” are the anticipated levels of emissions from electricity generation based on factors such as planned changes in the energy resource mix and policy initiatives.
These grid emissions factors vary widely across the U.S. because not all electric grids are “greening” at the same rate. For instance, California’s grid, which benefits from ambitious decarbonization policies as well as significant existing and planned deployments of clean energy resources, is projected to reduce its emissions much faster than the grids in Pennsylvania, New Jersey, and Maryland.
Accurate emissions forecasting and analysis should account for these local variations. Forecasting isn’t a one-size-fits-all activity, so why would organizations use one-size-fits-all data? Grid emissions factor data helps companies understand how the emissions from their facilities will evolve based on their decisions but also on the local grid’s development, and where to invest for the greatest emissions-reduction impact.
Your Clean Energy Investment Decisions Are Only as Good as Your Data
U.S. Environmental Protection Agency-designated eGrid regions account for unique emissions factors applicable to regional grid electricity consumption. They are more granular than U.S. wholesale power markets, allowing for higher-fidelity data. And because they are used as the basis for reporting requirements from standard-setting organizations such as the Greenhouse Gas Protocol and Carbon Disclosure Project, eGrid regions help organizations align their emissions projections with regulatory and voluntary frameworks.
Verse’s data scientists and clean energy experts have compiled a unique set of data sources in a single platform, synchronized the disparate datasets, and made them easy to use.
Anthesis Group uses the advanced modeling and datasets in Verse’s Data Hub to capture critical grid emissions factors so its clients can develop accurate regional emissions forecasts that drive informed decarbonization planning and investment decisions.
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