In-House Modeling Frameworks

Power System

DSO Prequalification Operator

- Purpose: Robust operation of distribution system considering market participations by virtual power plant to the wholesale market
- Type: Closed Source
- Language (Modeling Lib).: Python (Pyomo)

- PI: Seung Wan Kim, Professor, KENTECH
- Co-contributors:
  - Hee Seung Moon, EPNEL, SNU
  - Changmin Jeong, EPNEL, SNU (Current: Staff Engineer, Samsung Electronics)
  - Yong Soon Kim, SEND Lab, KENTECH
- Related publications:
  - Jeong, C. M., Moon, H. S., & Kim, S. W. (2024). Probabilistic Prequalification Scheme of a Distribution System Operator for Supporting Market Participation of Multiple Distributed Energy Resource Aggregators. IEEE Transactions on Energy Markets, Policy and Regulation, 2(4), 465-475.
  - Jeong, C. M., Kim, S. W., Park, J. S., Yoon, Y. T., & Moon, H. S. (2022). Robust prequalification process of a distribution system operator considering N‐1 contingency. IET Renewable Power Generation, 16(12), 2694-2710.
  - Moon, H. S., Jin, Y. G., Yoon, Y. T., & Kim, S. W. (2021). Prequalification scheme of a distribution system operator for supporting wholesale market participation of a distributed energy resource aggregator. IEEE Access, 9, 80434-80450.
  - Moon, H. S., "A Methodology of Robust Operation by Distribution System Operator Considering Market Participation of Multiple Distributed Energy Resource Aggregators", Seoul National University (2022)

SWITCH Model - Korea

- Purpose: Grid Planning
- Type: Closed Source
- Language (Modeling Lib).: Python (Pyomo), SWITCH Model as Skeleton

- PI: Won Young Park, Policy Researcher, Lawrence Berkeley National Lab.
- Co-contributors (To be updated):
  - Hee Seung Moon
- Related publications:
  - (Under Working) Planning Korea Power System 2050

Transportation

Maritime Battery Electrification Simulator (MariBES)

- Purpose:
  - Calculating emissions and energy consumption in maritime transportation
  - Simulating battery electrification and estimate geographical impact
- Type: Closed Source
- Language (Modeling Lib).: Python (Pyomo)

- PI: Won Young Park, Policy Researcher, Lawrence Berkeley National Lab.
- Co-contributors:
  - Hee Seung Moon
  - Won Young Park, Policy Researcher, LBNL
  - Natalie Popovich, Policy Researcher, LBNL
- Related publications:
  - Moon, H. S., Park, W. Y., Hendrickson, T., Phadke, A., & Popovich, N. (2025). Exploring the cost and emissions impacts, feasibility and scalability of battery electric ships. Nature Energy, 10(1), 41-54.
  - Moon, H. S., Park, W. Y., Hendrickson, T., Phadke, A., & Popovich, N. (2023). Battery Electrification of US Domestic Shipping.

Transportation Choice Model

- Purpose: Determining optimal pathways of energy transition in transportation sectors considering the total cost of ownership
- Type: Closed Source
- Language (Modeling Lib).: Python (Pyomo)

- PI: Bin Wang, Research Scientist, Lawrence Berkeley National Lab.
- Co-contributors (To be updated):
  - Hee Seung Moon
  - Bin Wang
- Related publications:
  - (Under Working)

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