Timing of Electric Loads to Reduce Air Emissions from Power Generation

May 11, 2021
12 noon – 1 p.m.

Co-sponsored by Wayne State University Department of Civil and Environmental Engineering

Continue your professional learning with ESD’s online educational sessions. Covering a broad range of topics, these one-hour webinars offer the flexibility of participating from anywhere via the Zoom platform. Sessions are complimentary to our members and the engineering community.

ESD will provide certificates of attendance for continuing education credit to participants.

LEEM, or Locational Emissions Estimation Methodology, is a big data emissions estimation product developed by researchers at Wayne State University and driven by the vision of environmentally sensitive electricity (ESE). The LEEM technology is now commercialized through a WSU start-up, Energy Emissions Intelligence (E2i).

LEEM automatically tracks, organizes, normalizes, analyzes, and reports location-specific, real-time, and forecasted marginal emissions information that empowers utility services, energy users, data and energy management firms, government, and individuals to predict emission levels and estimate costs over time and make better, more informed energy and emission management decisions for the future.

Presented by:

Sean Reed, Director of Sales, E2intel
Mr. Reed has worked in the clean tech industry for over 20 years primarily as a convener of advanced technology companies and public agencies.

Stephen Miller, Co-Founder and CEO of Energy Emissions Intelligence
Mr. Miller is also Section Manager at Commonwealth Associates and Secretary of the Analytic Methods for Power Systems committee of the Institute of Electrical and Electronics Engineers.

COST: Complimentary to our members and the engineering community. (There are limited spots, so please register early.)

TO REGISTER: Register online by using the link to the right.

FOR MORE INFORMATION: Contact Elana Shelef at eshelef@esd.org.