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

Dalia Patino-Echeverri. A Grid that's Risk-Aware for Clean Electricity - GRACE ($2,437,443 grant awarded from the United States Department of Energy, 2020)

Ali Daraeepour, Dalia Patiño-Echeverri, Antonio J. Conejo. “Economic and Environmental Implications of Different Approaches to Hedge Against Wind Production Uncertainty in Two-Settlement Electricity Markets: A PJM Case Study.” 2019. Energy Economics 80:336-354.

Adam Cornelius, Rubenka Bandyopadhyay, Dalia Patiño-Echeverri. “Assessing Environmental, Economic, and Reliability Impacts of Flexible Ramp Products in Midcontinent ISO.” 2018. Renewable and Sustainable Energy Reviews 81:2291-298.

Rubenka Bandyopadhyay, Vanessa Ferrero, Xuebei Tan. “Coordinated Operations of Flexible Coal and Renewable Energy Power Plants: Challenges and Opportunities.” 2017. Energy Series 52. 

Tara Righetti, Robert W. Godby, Dalia Patiño-Echeverri, Temple Leigh Stoellinger, Kipp A. Coddington. “The Role of Energy Models: Characterizing the Uncertainty of the Future Electricity System to Design More Efficient and Effective Laws and Regulations.” 2017. George Washington Journal of Energy and Environmental Law 8:56-77.

Ali Daraeepour, S. Jalal Kazempour, Dalia Patiño-Echeverri, Antonio J. Conejo. “Strategic Demand-side Response to Wind Power Integration.” 2016. IEEE Transactions on Power Systems 31(5)3495-3505.

Bandar Jubran Alqahtani, Kyra Moore Holt, Dalia Patiño-Echeverri, Lincoln Pratson. “Residential Solar PV Systems in the Carolinas: Opportunities and Outcomes.” 2016. Environmental Science & Technology 50(4):2082-2091.

Rubenka Bandyopadhyay, Dalia Patiño-Echeverri. “An Alternate Wind Power Integration Mechanism: Coal Plants with Flexible Amine-Based CCS.” 2016. Renewable Energy 85:704-713.

Dalia Patiño-Echeverri. The Impact of Advanced Power Generation Systems, Coal Upgrading Technologies and Carbon Dioxide Capture and Reuse on Life Cycle GHG Emissions of Wyoming PRB Coal Exports to Asia ($16,906 grant awarded from Western Research Institute, 2014)

Evangelos A. Denaxas, Rubenka Bandyopadhyay, Dalia Patiño-Echeverri, Nikos Pitsianis. “SynTiSe: A Modified Multi-Regime MCMC approach for Generation of Wind Power Synthetic Time Series.” 2015. IEEE Systems Conference (SysCon) Proceedings:668-674.

Dalia Patino-Echeverri. Disaggregating and Projecting Future Electricity Demand in China: Temporal and Spatial Features Based on a Bottom-Up Approach ($35,000 grant awarded from Duke University Energy Initiative Research Seed Fund, 2015)

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

$2.4 Million Grant Will Fund Research to Optimize Clean Electricity Production

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
  • 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)