|
Cluster :
|
eBusiness
|
|
|
|
Session Information
|
: Tuesday Oct 16, 11:00 - 12:30
|
|
|
|
Title:
|
Energy Information Systems
|
|
Chair:
|
Wolf Ketter,Associate Professor of Information Systems, Erasmus University, Rotterdam School of Management, Rotterdam, Netherlands, wketter@rsm.nl
|
|
|
|
Abstract Details
|
|
|
|
Title:
|
Designing Balancing Mechanisms for Energy Markets using Realistic Customer Models.
|
|
|
Presenting Author:
|
Konstantina Valogianni,PhD Candidate, Erasmus University, Rotterdam School of Management, Rotterdam, Netherlands, kvalogianni@rsm.nl
|
|
|
Co-Author:
|
John Collins,University of Minnesota, Computer Science and Engineering, Minneapolis MN, United States of America, jcollins@cs.umn.edu
|
|
|
|
Mathijs de Weerdt,Assistant Professor, TU Delft, Room HB 07.310 Mekelweg 4, 2628 CD, Delf, Delft, Netherlands, M.M.deWeerdt@tudelft.nl
|
|
|
|
Wolf Ketter,Associate Professor of Information Systems, Erasmus University, Rotterdam School of Management, Rotterdam, Netherlands, wketter@rsm.nl
|
|
|
|
Abstract:
|
We present balancing mechanisms for a decentralized and deregulated energy market using controllable customer capacities. We model customers' controllable capacities based on real-world data, since a crucial part for designing precise balancing mechanisms is a realistic customer representation.
|
|
|
|
|
Title:
|
Autonomous Agent-based Decision-making for the Smart Electricity Grid
|
|
|
Presenting Author:
|
Markus Peters,PhD Candidate, Erasmus University, Rotterdam School of Management, Rotterdam, Netherlands, m@rkuspeters.de
|
|
|
Co-Author:
|
John Collins,University of Minnesota, Computer Science and Engineering, Minneapolis MN, United States of America, jcollins@cs.umn.edu
|
|
|
|
Wolf Ketter,Associate Professor of Information Systems, Erasmus University, Rotterdam School of Management, Rotterdam, Netherlands, wketter@rsm.nl
|
|
|
|
Maytal Saar-Tsechansky,University of Texas at Austin, McCombs School of Business, Austin TX, United States of America, maytal@mail.utexas.edu
|
|
|
|
Abstract:
|
The vision of a Smart Electricity Grid requires substantial advances in intelligent decentralized control mechanisms. We study a novel class of autonomous brokers that derive profit-maximizing strategies from interaction with their environment and demonstrate their performance in experiments with real-world data. Our work lays the foundation for innovative intermediation services that enable customer participation in the Smart Grid, and enhance the economic sustainability of power systems.
|
|
|
|
|
Title:
|
Energy Informatics in Transportation Systems: Combining Telematics Data with O.R.
|
|
|
Presenting Author:
|
Sudip Bhattacharjee,Associate Professor, University of Connecticut, Storrs CT, United States of America, sbhattacharjee@business.uconn.edu
|
|
|
Co-Author:
|
Alex Tung,University of Connecticut, 2100 Hillside Rd, U-1041, Storrs CT 06269, United States of America, alex.tung@business.uconn.edu
|
|
|
|
Abstract:
|
Empty trailer trips (backhaul) lead to revenue loss, pollution, fuel consumption, and cost over a billion dollars each year. We use telematics data to match routes for “backhaul brokering”. Data analytics is used to create maps of trailer movement and frequent patterns. Subsequently, optimization provides tools to choose revenue enhancing and energy saving routes. This contributes to the emerging area of energy informatics where energy optimization and revenue are key to business sustainability.
|
|
|
|
|
Title:
|
Auction Design for Local Reserve Energy Markets
|
|
|
Presenting Author:
|
Reinhard Madlener,Professor of Energy Economics and Management, RWTH Aachen University, Mathieustrasse, Aachen 52074, Germany, RMadlener@eonerc.rwth-aachen.de
|
|
|
Co-Author:
|
Christiane Rosen,Research Associate, RWTH Aachen University, Mathieustrasse, Aachen 52074, Germany, CRosen@eonerc.rwth-aachen.de
|
|
|
|
Abstract:
|
We develop an auction mechanism that is designed for a local energy market. It is aimed at enabling regional trading of ancillary services, but can also be used for administering negotiation processes in virtual power plants or microgrids. In order to test the performance of the proposed auction mechanism, a simple multiagent-based simulation program has been devised. We find that the theoretical predictions hold in fact and competition quickly leads to price convergence.
|
|
|
|
|
|