Modeling Tools for Energy Systems Analysis (MOTESA) (2013-2014)

This project team designed and developed education and research tools, in open source software, for facilitating systematic and efficient investigation on how to integrate wind and solar power into the electric grid. The software enables detailed description and modeling of electric power system operations and market interactions. It includes three model components: (1) a security-constrained unit commitment model, which  determines which power generation units to commit to operation ahead of time; (2) a security-constrained  economic dispatch model, which selects the units, among the committed ones, to operate in order to minimize the operation cost; and (3) a wind farm model, which provides an accurate representation of wind power generation from a collection of turbines.

Timing

2013-2014

This Team in the News

Energy Research Workshop 2014: Bass Connections in Energy Projects

See related team, Modeling Tools for Energy Systems Analysis (MOTESA) (2014-2015).

/faculty/staff Team Members

  • Nick Gessler, Arts & Sciences-Information Science and Information Studies*
  • Anita Layton, Arts & Sciences-Mathematics*
  • Dalia Patino Echeverri, Nicholas School of the Environment-Environmental Sciences and Policy*
  • Nikos Pitsianis, Arts & Sciences-Computer Science*
  • Xiaobai Sun, Arts & Sciences-Computer Science*

/graduate Team Members

  • Bandar Alqahtani, Environmental Policy-PHD
  • Rubenka Bandyopadhyay, Environmental Policy-PHD
  • Adam Cornelius, Master of Environmental Management, Energy and Environment
  • Ali Daraeepour, Environmental Policy-PHD
  • Fei Xu, Master of Environmental Management, Energy and Environment

/undergraduate Team Members

  • Seokhyun Song, Computer Science (BS)
  • Rui Wang, Chemistry (AB), Public Policy Studies (AB2)