As part of the Sandia’s PV Performance Modeling program (https://pvpmc.sandia.gov/), we are sharing our model development ideas to seek feedback based on relevance, importance, and potential impact.
Your input will help us prioritize our efforts for fiscal years 2025-2027. Any model developments from our PV Performance Modeling program will be validated, documented in peer-reviewed articles, and made available in pvlib-python. If you are already working on a similar idea, please reach out—we would love to collaborate!
Idea No. 1. Improve inverter modeling: Extend inverter models to account for common operating conditions and constraints: e.g., off-unity power factor, MPPT voltage range, DC current limit, curtailment due to temperature. The goal is to account for inverter operating states that affect output power by > 1%.
@kandersolar @cwhanse @jsstein @leliadeville
As part of the Sandia’s PV Performance Modeling program (https://pvpmc.sandia.gov/), we are sharing our model development ideas to seek feedback based on relevance, importance, and potential impact.
Your input will help us prioritize our efforts for fiscal years 2025-2027. Any model developments from our PV Performance Modeling program will be validated, documented in peer-reviewed articles, and made available in pvlib-python. If you are already working on a similar idea, please reach out—we would love to collaborate!
Idea No. 1. Improve inverter modeling: Extend inverter models to account for common operating conditions and constraints: e.g., off-unity power factor, MPPT voltage range, DC current limit, curtailment due to temperature. The goal is to account for inverter operating states that affect output power by > 1%.
@kandersolar @cwhanse @jsstein @leliadeville