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Introduction to Microgrids – Online Instructor-Led Training Course

April 30 @ 12:00 PM - 4:00 PM EDT

Event Details

To register with Group Member Points, email [email protected]

Awards 0.4 CEUs / 4 PDHs (Click for more info)

AESP is accredited by the International Association for Continuing Education and Training (IACET). AESP complies with the ANSI/IACET Standard, which is recognized internationally as a standard of excellence in instructional practices. As a result of this accreditation, AESP is authorized to issue the IACET CEU. AESP instructors disclose in advance that they have no interest in any product, service, or material discussed during the course. This information is stated orally and in the training course handbook.

Course Description:

As demand for power continues to increase beyond the capacity of existing generation infrastructure, Microgrids are emerging as a critical and reliable part of the solution.  This course will provide a foundational understanding of what Microgrids are, their benefits, and how they can uniquely help to achieve resiliency, carbon reduction, and cost savings objectives. You will also gain an understanding of the data needed to run a feasibility analysis and important considerations when modeling a microgrid for different objectives.

After completing this course, you will be able to:

  • Define what a microgrid is and what DER technologies are included.
  • Identify the benefits of microgrids given our current power generation challenges and need for cleaner energy.
  • Measure what data is needed and what to consider during feasibility analysis.
  • Explain how to model and optimize for different objectives such as resiliency, carbon reduction, and cost savings.

*Attendees must earn an 70% or higher on the final course test in order to earn 0.4 CEUs.

    Instructors

    Michael Stadler, Ph.D.

    Michael Stadler, Ph.D.

    CTO, XENDEE

    Michael is the recipient of the Presidential Science Award from the White House in 2016, and is a recognized global leader in Distributed Energy Resource (DER) integration analytics. Most recently at Lawrence Berkeley National Laboratory, Michael led both the Grid Integration and Microgrid research groups, where he managed an international team of over 40 researchers.

    He was the lead developer of the Distributed Energy Resource Customer Adoption Model (DER-CAM) platform, which was recognized as one of the most advanced economic decision support tools ever created for locational economic optimization of Microgrids and hybrid distributed energy systems. Michael co-teaches the Microgrid planning and economic optimization course at UC San Diego (CSE-41291), is a member of the Advisory Board for the Power System Engineering Certificate program at UC San Diego Extensions, and holds several U.S. and international patents in the areas of electrical power system design, optimization, and capacity assessment.

    Michael has a Ph.D., with honors, in Energy Economics from the Vienna University of Technology in Austria.

    Details

    Date:
    April 30
    Time:
    12:00 PM - 4:00 PM EDT
    Event Category: