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User-Steered Energy Generation and Consumption Multimodel Simulation for Pricing and Policy Development
Mar.-Apr. 2014 (vol. 16 no. 2)
pp. 22-33
Harrison B. Smith, Ohio State University
Amy Pielow, Ohio State University
Adithya Jayakumar, Ohio State University
Matteo Muratori, Ohio State University
B.J. Yurkovich, Ohio State University
Ramteen Sioshansi, Ohio State University
Ashok Krishnamurthy, University of North Carolina at Chapel Hill
Giorgio Rizzoni, Ohio State University
Matthew C. Roberts, Ohio State University
Understanding energy use is critical. Although simulation is valuable, such models are simplified abstractions of actual energy systems. The authors present an energy system multimodel implemented with the Language and Platform Independent Steering (LAPIS) computational steering API. They present an adaptable framework for the integration and development of multimodel simulations. This framework enables independent development of component simulations, limits coordination overhead between developers, and allows modularity and flexibility in the overall multimodel simulation. Use case studies demonstrate the capabilities of the multimodel energy system simulation and LAPIS.
Index Terms:
Computational modeling,Biological system modeling,Data models,Electricity supply industry,Energy management,Load modeling,Simulation,Power markets,Pricing,Power system economics,scientific computing,multimodel simulation,computational steering,energy system modeling,energy policy
Harrison B. Smith, Amy Pielow, Adithya Jayakumar, Matteo Muratori, B.J. Yurkovich, Ramteen Sioshansi, Ashok Krishnamurthy, Giorgio Rizzoni, Matthew C. Roberts, "User-Steered Energy Generation and Consumption Multimodel Simulation for Pricing and Policy Development," Computing in Science and Engineering, vol. 16, no. 2, pp. 22-33, Mar.-Apr. 2014, doi:10.1109/MCSE.2013.48
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