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X-WR-CALNAME:Computational Optimisation Group
X-ORIGINAL-URL:https://optimisation.doc.ic.ac.uk
X-WR-CALDESC:Events for Computational Optimisation Group
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DTSTART:20100101T000000
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DTSTART;TZID=UTC:20111125T140000
DTEND;TZID=UTC:20111125T140000
DTSTAMP:20260408T193527
CREATED:20170124T102152Z
LAST-MODIFIED:20170124T102152Z
UID:623-1322229600-1322229600@optimisation.doc.ic.ac.uk
SUMMARY:Seminar: Coordinating Flexible Responsive Electricity Demand via Smart Grids
DESCRIPTION:Title: Coordinating Flexible Responsive Electricity Demand via Smart Grids Speaker: Dr. Daniel Livengood Affiliation: Location: CPSE Seminar room (C615 Roderic Hill)Time: 2:00pm \nAbstract. As the electric grid evolves into a ‘smart’ grid\, there is renewed interest in developing and implementing strategies for integrating flexible\, responsive electric demand into the perpetual task of balancing electricity supply and demand on the grid.  Pilot programs and research have demonstrated that automated energy management systems\, particularly for residential customers\, are instrumental in increasing the response of flexible demand from customers participating in these strategies. This talk will begin with a discussion of the potential benefits to a single residence when coordinating electricity consumption\, distributed generation and storage with an automated energy management system under time-varying pricing and uncertain weather conditions.  A discussion of the open questions involving what may happen when large numbers of automated energy management systems are installed on the smart grid will follow. \nAbout the speaker. Daniel is a postdoctoral research fellow at the Massachusetts Institute of Technology\, where he recently completed his Ph.D. in Engineering Systems.  Daniel’s research focuses on automated home energy management systems as part of future smart grids\, with a particular interest in developing algorithms that coordinate energy consumption\, distributed generation and storage in response to time-varying pricing and uncertain weather forecasts.  Along with his ongoing academic research\, Daniel is working on energy and thermal algorithms with the startup Coincident\, Inc.\, as part of their energy management appliance.  Daniel is also an advisor to the startup Grid Solutions\, Inc.\, and has worked as an intern at the demand response company EnerNOC\, analyzing baseline calculation methods for demand response programs.
URL:https://optimisation.doc.ic.ac.uk/event/seminar-coordinating-flexible-responsive-electricity-demand-via-smart-grids/
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