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, Trinity - Information Science & Studies*
Anita Layton, Trinity - Mathematics*
Dalia Patino Echeverri, Nicholas School - Environmental Sciences & Policy*
Nikos Pitsianis, Trinity - Computer Science*
Xiaobai Sun, Trinity - Computer Science*

Graduate Team Members

Bandar Alqahtani, Nicholas School - Environmental Science and Policy
Rubenka Bandyopadhyay, Nicholas School - Environmental Science and Policy
Adam Cornelius, Master of Environmental Management
Ali Daraeepour, Environmental Science and Policy PhD
Fei Xu, Nicholas School - Master of Environmental Manageme

Undergraduate Team Members

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

* denotes team leader


Completed, Archived