CSP p90 analysis problem

I am trying to perform P50/P90 analysis on a CSP plant. The simulation always stops after a couple of years with the following error message:


Error during exceedance probability simulation:

MSG[0]: SVAL LOOKUP ERROR trnsys.user_trdsrc
MSG[1]: SVAL LOOKUP ERROR trnsys.user_exe_deck_enabled
MSG[2]: SVAL LOOKUP ERROR trnsys.user_exe_deck_enabled
MSG[3]: SVAL LOOKUP ERROR trnsys.user_exe
MSG[4]: SVAL LOOKUP ERROR trnsys.user_args
MSG[5]: TrnModel::ReadOutput[ncol=73 nalloc=8760 lnchars=3800] = 58 msec
MSG[6]: TrnModel::ReadOutput[ncol=28 nalloc=12 lnchars=2400] = 0 msec
MSG[7]: TrnModel::ReadOutput[ncol=28 nalloc=2 lnchars=1800] = 1 msec
MSG[8]: SVAL LOOKUP ERROR trnsys.target_hourly_folder
MSG[9]: TrnModel Notice: Deleting file 'C:/Users/Dan/AppData/Local/SAMEXE/SAMEXE-Dan-INST1-2013.1.15/simdata/My_project/EXPROB_0/dtr.hourly.out'

MSG[10]: SVAL LOOKUP ERROR trnsys.target_hourly_folder
MSG[11]: TrnModel Notice: Deleting file 'C:/Users/Dan/AppData/Local/SAMEXE/SAMEXE-Dan-INST1-2013.1.15/simdata/My_project/EXPROB_0/energy.out'

MSG[12]: BADTYPE OUTPUT system.annual.power_gross
MSG[13]: BADTYPE OUTPUT system.annual.e_net
MSG[14]: BADTYPE OUTPUT system.annual.q_inc_total
MSG[15]: BADTYPE OUTPUT system.annual.q_abs_total
MSG[16]: BADTYPE OUTPUT system.annual.q_field_out
MSG[17]: BADTYPE OUTPUT system.annual.q_aux_fuel_hv
MSG[18]: BADTYPE OUTPUT system.annual.q_dump
MSG[19]: BADTYPE OUTPUT system.annual.flow_water_makeup
MSG[20]: BADTYPE OUTPUT system.annual.inc_power
MSG[21]: BADTYPE OUTPUT system.annual.q_sf
MSG[22]: BADTYPE OUTPUT system.annual.q_to_pb
MSG[23]: BADTYPE OUTPUT system.annual.p_gross
MSG[24]: BADTYPE OUTPUT system.annual.e_net



Any suggestions? I am getting the same error regardless of weather location and renewable energy plant.

Hello,

This is a known issue with the weather files that the P50/P90 analysis uses. The solar radiation data in the files is complete over the multi-year period, but there are gaps in the meteorological data for many of the locations. SAM's CSP models need temperature, humidity, pressure, and wind speed data to calculate thermal losses, so those models will fail when they encounter a weather file with missing or problematic meteorological data. The photovoltaic models are less reliant on the meteorological data, so the missing data is less of a problem for those models.

Best regards,
Paul.