David P. Chassin, PhD

David Chassin is the founder and president of Eudoxys Sciences LLC.

David Chassin recently retired as group manager, chief scientist, and principal investigator in the Grid Integration Systems and Mobility (GISMo) group at SLAC National Accelerator Laboratory, which is operated by Stanford University. He managed research and development activities in renewable energy and grid integration systems. Before joining SLAC, he was a staff scientist at Pacific Northwest National Laboratory (PNNL) where he worked since 1992. He led the development of building energy modeling, control and diagnostic systems, including Softdesk Energy and DOE’s Whole Building Diagnostician. He designed the Olympic Peninsula and Northeast Columbus retail real-time pricing systems. He managed the development of GridLAB-D™, an open source smart grid simulation built by PNNL for the US Department of Energy.

Education

  • PhD, Mechanical Engineering, University of Victoria, Victoria BC (2018).

  • MASc, Mechanical Engineering, University of Victoria, Victoria BC (2015).

  • BS, Building Science, Rensselaer Polytechnic Institute, Troy NY (1987).

Professional Appointments

  • President, Eudoxys Sciences LLC, Marysville WA

    • Owner and principal member (2024 - present)
  • Senior Staff Scientist, SLAC National Accelerator Laboratory, Menlo Park CA

    • Group Manager (2020-2024) Grid Integration Systems and Mobility

    • Lead Scientist (2019-2024) Grid Integration Systems and Mobility

    • Principal Investigator (2018-2024) Applied Energy Division

    • Staff Scientist (2016-2019) Energy Sciences Directorate

  • Stanford University, Stanford CA

    • Precourt Energy Scholar (2016-2017) Precourt Energy Institute
  • Research Associate, University of Victoria, Victoria BC

    • Research Associate (2013-2016) Institute for Integrated Energy Systems
  • Staff Scientist, Pacific Northwest National Laboratory, Richland WA

    • Initiative Manager (2012-2013) Control of Complex Systems Initiative

    • Team Lead (2005-2008) Electric Power Systems Integration

    • Staff Scientist (1998-2016) Electric Power Systems Group

    • Technical Group Manager (1996-1998) Building Sciences Group

    • Research Scientist (1992-1996) Building Sciences Group

  • Vice-President, Image Systems Technology, Troy NY

    • Chief Engineer (1988-1992) CAD Overlay
  • School of Architecture, Rensselaer Polytechnic Institute, Troy NY

    • Instructor (1988-1990) Computer Aided Design

    • Research Assistant (1985-1987) Prof. Richard W. Quadrel

Major Projects

  • Transactive Energy Services System (TESS): Principal investigator for a commercial deployment of Transactive Control at Holy Cross Energy in Colorado.

  • HiPAS GridLAB-D: Principal investigator for a commercial high-performance version of GridLAB-D developed for the California Energy Commission under an EPIC grant.

  • GridLAB-D: Principal investigator from 2007 to 2013. GridLAB-D is an agent-based simulator for smart grid systems. Funded initially by the US Department of Energy and developed at Pacific Northwest National Laboratory, GridLAB-D is now widely used by researchers, technology providers and electric utilities to study smart grid technology integration in the power industry.

  • Transactive Control: Principal engineer for multiple projects using “transactive control” technology, including the Olympic Peninsula SmartGrid Demonstration Testbed (2006-2007) and the AEP Northeast Columbus gridSMART RTPda demonstration project (2013).

Selected Publications

  1. ML Arlt et al., “Opening Up Transactive Systems: Introducing TESS and Specification in a Field Deployment,” Energies 14:13, p.3970-, 2021.

  2. A. Ivanova et al., “Techno-economic feasibility of a photovoltaic-equipped plug-in electric vehicle public parking lot with coordinated charging”, IET Energy Systems Integration 2:3, pp. 261-272, 2020.

  3. S Powell et al., “Fast solutions in power system simulation through coupling with data-driven power flow models for voltage estimation,” arXiv 2001.01714, 2020.

  4. S Kundu et al., “A nonlinear regression method for composite protection modeling of induction motor loads,” IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 5 Jan 2020.

  5. Y Liu et al., “Open-source high-fidelity aggregate composite load models of emerging load behaviors for large-sale analysis,” PNNL Report No. 29592, Pacific Northwest National Laboratory, Richland, Washington (USA), 2020.

  6. WL Hu, C Rivetta, E MacDonald, DP Chassin, “Modeling of operator performance for human-in-the-loop power systems,” in Harris D. (eds) Engineering Psychology and Cognitive Economics, HCII 2019, Lecture Notes in Computer Science, vol 11571, pp.39-54, Springer (2019).

  7. Y Liu et al., “Detailed Modeling of Residential End-Use Motor Load and Protection for Distribution System Transient Study,” 2019 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 2019, pp. 1-5.

  8. WL Hu, C Rivetta, E MacDonald, DP Chassin, “Optimal operator training reference models for human-in-the-loop systems,” in Proceedings of the 52nd Hawaii International Conference on System Sciences, January 2019.

  9. Y Liu et al., “Impact of Building-Level Motor Protection on Power System Transient Behaviors,” 2018 IEEE Power & Energy Society General Meeting (PESGM), Portland, OR, 2018, pp. 1-5.

  10. Q Huang et al., “Aggregate Protection Response of Motor Loads in Commercial Buildings,” 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), Denver, CO, 2018, pp. 1-5.

  11. DP Chassin, S Behboodi, N Djilali, “Optimal subhourly electricity resource dispatch under multiple price signals with high renewable generation availability,” Applied Energy 213, pp.262-271 (2018).

  12. Y Tang et al., “Generation of composite load protection profiles for reliable system operation,” 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, 2018, pp. 1-5.

  13. KP Schneider, FK Tuffner, MA Elizondo, J Hansen, JC Fuller and DP Chassin, “Adaptive Dynamic Simulations for Distribution Systems Using Multistate Load Models,” in IEEE Transactions on Smart Grid, vol. 10, no. 2, pp. 2257-2266, March 2019.

  14. S Behboodi, DP Chassin, N Djilali and C Crawford, “Transactive control of fast-acting demand response based on thermostatic loads in real-time retail electricity markets,” Applied Energy 210, pp. 1310-1320 (2018).

  15. DEM Bondy et al. “Redefining requirements of ancillary service for technology agnostics sources,” in Proceedings of the 51st Hawaii International Conference on System Sciences, January 2018.

  16. DP Chassin, S Behboodi, N Djilali, Y Shi, “H2-optimal Transactive Control of Electric Power Regulation from Fast-Acting Demand Response in the Presence of High Renewables,” Applied Energy 205, pp.304-315 (2017).

  17. RA Sevlian, J Yu, Y, Liao, X Chen, Y Weng, EC Kara, M Tabone, S Badri, CW Tan, DP Chassin, S Kiliccote, R Rajagopal, “VADER: Visualization and Analytics for Distributed Energy Resources,” arXiv 1708.09473.

  18. S Behboodi, DP Chassin, N Djilali, C Crawford, “Interconnection-wide hour-ahead scheduling in the presence of intermittent renewables and demand response: A surplus maximizing approach,” Applied Energy, vol. 189, pp 336-352, March 2017.

  19. DP Chassin, D Rondeau, “Aggregate Modeling of Fast-Acting Demand Response and Control Under Real-Time Pricing,” Applied Energy, vol. 181, November 2016.

  20. DP Chassin, S Behboodi, N Djilali, C Crawford, “Agent-Based Simulation for Interconnection-Scale Renewable Integration and Demand Response Studies”, Engineering}, vol. 1, no. 4, December 2015.

  21. S Behboodi, DP Chassin, C Crawford, N Djilali, “Renewable Resources Portfolio Optimization in the Presence of Demand Response”, Applied Energy} 162, October 2015.

  22. DP Chassin, J Stoustrup, P Agathoklis, N Djilali, “A New Thermostat for Real-Time Price Demand Response Cost, Comfort and Energy Impacts of Discrete-Time Control Without Deadband”, Applied Energy} 155, July 2015.

  23. B Palmintier, B Lundstrom, S Chakraborty, T Williams, K Schneider, and D Chassin, “A Power Hardware-in-the-Loop Platform With Remote Distribution Circuit Cosimulation,” IEEE Transactions on Industrial Electronics}, vol. 62, no. 4, pp.2236–2245, April 2015.

  24. DP Chassin, JC Fuller, N Djilali, “GridLAB-D: An agent-based simulation framework for smart grids”, Journal of Applied Mathematics}, May 2014.

  25. T Broeer, JC Fuller, F Tuffner, DP Chassin, and N Djilali, “Modeling framework and validation of a smart grid and demand response system for wind power integration”, Journal of Applied Energy}, vol. 113, Jan. 2014, pp.199-207.

  26. KP Schneider, JC Fuller, and DP Chassin, “Multi-State Load Models for Distribution System Analysis.” IEEE Transactions on Power Systems, vol 26, no. 4, pp. 2425 - 2433, 2011.

  27. DP Chassin, “What Can the Smart Grid Do for You? And What Can You Do for the Smart Grid?,” The Electricity Journal}, 23:5, June 2010, pages 57-63.

  28. LL Kiesling, DP Chassin, “Beneficial complexity: A field experiment in technology, institutions, and institutional change in the electric power Industry,” Social Sciences Research Network}, June 10, 2009.

  29. DP Chassin, LL Kiesling, “Decentralized coordination through digital technology, dynamic pricing, and customer-driven control: The GridWise Testbed Demonstration Project,” The Electricity Journal} 21:8, pp. 51-59, Elsevier, October 2008.

  30. DP Chassin, K Schneider, C Gerkensmeyer, “GridLAB-D: An open-source power system modeling environment,” in IEEE Power and Energy Society Transmission and Distribution Conference, 2008.

  31. DP Chassin, C Posse, “Evaluating North American electric grid reliability using the Barabasi-Albert network model,” Physica A Statistical Mechanics and Its Applications} 355(2-4):667-677, 2005.

Written on September 4, 2024