LF Energy Open Source Benefit-Cost Framework for Grid Operators
summary
An open source benefit‑cost framework turns qualitative claims into a spreadsheet model with four components: TCO, Risk, Strategic Value, Societal Value. It uses an expected‑cost approach for risks (likelihood × penalty), discounting over a 10‑year horizon and outputs a single index like euros‑per‑euro of operating spend. Case validations include a CPATH digital‑substation simulation (up to 4.82× value), an energy‑forecasting deployment (~2×), and scenarios where patching drops from 10 to 4 installs because modular open‑source patches reduce labor. GitHub workbook and report available.
AI-written summary · about
chapters (5)
- 0:00Introduction and framework overview
- 6:24Deep dive into framework components
- 13:13Quantifying risks and benefits
- 21:24Case studies and real results
- 26:02Long-term investment and conclusions
related talks
38mOpen Energy Modeling for Mission-critical Planning Purposes
35mLF Energy 101: How Open Source Is Powering the Digital Energy Tran...
30mOpen Source Holds The Key To The Future Of Energy Sector
29mLFE Project PowSyBl: Grid Modeling at the Core of Europe’s Power Grid Planification...
30mHow Open Source Helps a Grid Operator with the Challenges of...
50mKeynote Panel: Open Source, Open Minds: Utility Perspectives on Digital Collaboration
43mMore Renewable Energy Into the Power Grid with Open Source
17mAccelerating Microgrid Adoption Using Open Source