Modeling Tools for Energy Systems Analysis (MOTESA) (2014-2015)

Understanding the potential and effects of different penetration levels of wind and solar power requires detailed characterization of 1) renewable resources; 2) conventional electricity generation infrastructure that currently exist; and 3) the interaction and coordination of the two in a balancing authority/independent system operator/regional transmission organization.

This project responded to these three requirements by developing and making accessible a few tools that vary in purpose and sophistication, but that each serve as building blocks for more complex models and are downloadable, well documented and user friendly. The first beneficiaries of the open access tools were students from Duke and NC State who will be able to use and build on the tools developed by their peers and predecessors; going forward, the team expects that other students and faculty from the area and the country will contribute to the site and benefit from the initiative.


Fall 2014 – Spring 2015

Team Outcomes

Evangelos Denaxas, Rubenka Bandyopadhyay, Dalia Patiño-Echeverri, Nikos Pitsianis. 2015. SynTiSe: A modified multi-regime MCMC approach for generation of wind power synthetic time series, Systems Conference (SysCon), 2015 9th Annual IEEE International, 13-16 April 2015, pp. 668-674. (related paper)

Electricity market clearing model; three versions (unit commitment/economic dispatch model with and without flexible-ramp capability products, deterministic and stochastic)

This Team in the News

A Collaborative Approach to Energy Systems and Policy Research

These Ph.D. Graduates Played Key Roles in Their Bass Connections Projects

See related teams, Modeling Tools for Energy Systems Analysis (MOTESA) (2013-2014) and Modeling Tools for Energy Systems Analysis (MOTESA) (2016-2017) .

Team Leaders

  • 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, Environment-PHD
  • Rubenka Bandyopadhyay, Environment-PHD, Mathematics-PHD
  • Ali Daraeepour, Environment-PHD
  • Xin Li, Master of Environmental Management, Energy and Environment
  • Eric Williams, Environment-PHD
  • Shiyao Wu, Master of Environmental Management, Energy and Environment
  • Fei Xu, Master of Environmental Management, Energy and Environment

/undergraduate Team Members

  • Thomas Bagley, Computer Science (BS)
  • Tristan Ballard, Environmental Sciences (BS), Statistical Science (AB2)
  • Xi Chen, Electrical & Computer Egr(BSE), Computer Science (BSE2)
  • Elijah Cole, Electrical & Computer Egr(BSE), Mathematics (BS2)
  • Terence Conlon, Mechanical Engineering (BSE)
  • Zeren (Jimmy) Zhang, Statistical Science (BS), Economics (BS2)