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A User-Steered Energy Generation and Consumption Multi-Model Simulation for Pricing and Policy Development
PrePrint
ISSN: 1521-9615
Harrison Smith, , Columbus
Amy Pielow, , Columbus
Adithya Jayakumar, , Columbus
Matteo Muratori, , Columbus
Benjamin Yurkovich, , Columbus
Ramteen Sioshansi, The Ohio State University, 43210
Ashok Krishnamurthy, , Columbus
Giorgio Rizzoni, , Columbus
Matthew Roberts, , Columbus
Understanding energy generation and consumption is more critical than ever. While simulation is a valuable tool, such models are by necessity simplified abstractions of actual energy systems. We present a steerable energy system multi-model implemented with a newly developed computational steering toolset called LAPIS. Additionally, we present an adaptable framework for the integration and development of such multi-model simulations. This framework carries a number of key advantages including allowing independent development of component simulations, limiting coordination overhead between developers during the integration process, and allowing modularity and flexibility in the overall multi-model simulation. We use case studies to demonstrate the capabilities of the multi-model energy system simulation and LAPIS.
Citation:
Harrison Smith, Amy Pielow, Adithya Jayakumar, Matteo Muratori, Benjamin Yurkovich, Ramteen Sioshansi, Ashok Krishnamurthy, Giorgio Rizzoni, Matthew Roberts, "A User-Steered Energy Generation and Consumption Multi-Model Simulation for Pricing and Policy Development," Computing in Science and Engineering, 14 May 2013. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/MCSE.2013.48>
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