Education & Certifications

  • M.S., Stanford University, Civil and Environmental Engineering, Atmosphere and Energy (2016)
  • B.S., Stanford University, Engineering Physics, Renewable Energy concentration (2014)

Current Research and Scholarly Interests

grid-scale energy storage, microgrids, electrochemical models, optimization, machine learning

Work Experience

  • Senior Consultant, Grid Engineering, Strategen (2018 - 2019)

    Applying engineering knowledge to technical analysis and modelling for decarbonization and modernization of the electric grid.

    - Modelling dispatch optimization and analyzing economic value of behind-the-meter and front-of-meter energy storage.
    - Analysis and valuation of smart inverters and other distributed energy resources (DERs).
    - Informing policy and regulation with technical expertise, for the integration of renewable energy into a smart and dynamic electric grid.


    Berkeley, California

  • Senior Systems Engineer, Geli (2016 - 2018)

    Project engineering and technical project management for intelligent battery systems, in an energy storage startup.

    - Designed, tested, and commissioned energy storage solutions.
    - Deployed the first live production site successfully using Geli's Demand Charge Management and Backup Power algorithms.
    - Developed software drivers, integrating energy storage system hardware with the Geli platform.
    - Wrote and compiled technical documentation on processes and project development (single-line diagrams, communications diagrams, process workflows).


    San Francisco, CA

All Publications

  • Characterization and Synthesis of Duty Cycles for Battery Energy Storage Used in Peak Shaving Dispatch ASME Letters in Dynamic Systems and Control Moy, K., Lee, S., Onori, S. 2021

    View details for DOI 10.1115/1.4050192

  • Design and validation of synthetic duty cycles for grid energy storage dispatch using lithium-ion batteries Advances in Applied Energy Moy, K., Lee, S., Harris, S., Onori, S. 2021; 4: 100065
  • An OpenAI-OpenDSS framework for reinforcement learning on distribution-level microgrids 2021 IEEE Power & Energy Society General Meeting (PESGM) Moy, K., Tae, C., Wang, Y., Henri, G., Bambos, N., Rajagopal, R. 2021
  • Smart Inverter Interoperability Standards and Open Testing Framework to Support High-Penetration Distributed Photovoltaics and Storage Tansy, T., Nelson, R., Moy, K., Martinez, S., Wiseman, G. California Energy Commission. 2020
  • Analysis Report of Wholesale Energy Market Participation by Distributed Energy Resources (DERs) in California Tansy, T., Nelson, R., Moy, K., Martinez, S. California Energy Commission. 2018
  • 100% Clean and renewable wind, water, and sunlight all-sector energy roadmaps for 139 countries of the world JOULE Jacobson, M. Z., Delucchi, M. A., Bauer, Z. A., Goodman, S. C., Chapman, W. E., Cameron, M. A., et al 2017; 1 (1): 108-121
  • Integrated Solar PV, Vanadium Redox Flow Battery, and Microgrid Demonstration Project Byrne, W., Pineda, C., Smith, B., Wartena, R., Moy, K. California Energy Commission. 2017
  • Assessing Climate Change Vulnerability of Microgrid Systems Yu, Y., Moy, K. R., Chapman, W. E., O'Neill, P. L., Rajagopal, R., IEEE IEEE. 2016