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.



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)

* denotes team leader


Completed, Archived