7-2_DNVs-Solar-Energy-Assessment-Validation_madghiz-1

DNV DNV’s Solar Energy Assessment Validation using SolarFarmer Madison Ghiz DNV Agenda 2 Objectives SolarFarmer Energy Assesment Validation Methodology Past Energy Assesment Validation Work Curent Energy Asesment Validation Work Conclusions Future Work DNV Objectives Continuously improve energy assessment methodology and aid in global energy transition Validate our energy assessment methodology every year Rerun validation using SolarFarmer instead of PVsyst as the solar modeling software 3 DNV SolarFarmer 4 SolarFarmer software combines thoroughly validated PV simulation algorithms with a user-friendly, modern interface alowing quick configuration and simulation of PV designs Ned something that we can scale with increasing solar energy demand Programable –the back-end is available to us API aces Batch procesing abilities DNV DNV’s EA Validation Methodology Gather Energy Information Administration EIA production data and/or project owner provided data Run pre-construction energy assessment on DNV’s side Adjust actual production with iradiance corection Compare actual iradiance-corected production data to DNV’s own preconstruction energy estimates using a performance index to identify discrepancies in our modeling process 5 DNV Past EA validation work Validation Sample Size project years Median PI Standard Deviation 2019 Validation67 years 96.4 5.4 2019 Validation Addendum 67 years 97.5 3.3 2021 Validation40 years 100.3 3.2 2021 Validation Addendum 43 years 99.9 2.3 6 DNV Past work –2019 EA Validation 7 DNV Past work –2019 EA Validation Addendum 8 DNV Past work –2021 EA Validation 9 DNV Addendum to 2021 EA Validation 10 DNV 11 DNV EA using SolarFarmer vs. EA using PVsyst Project caled for “base case” EA with variations for specific parameters Module type bifaciality Inverter Ground tilt Bifaciality factor Albedo 12 EA count Mean Median Min / Max 18 0.06 0.17 -0.4 / 0.5 DNV 13 DNV Conclusions Median PI reduced by 0.4 from 2021 EA validation results Standard deviation reduced from 3.2 to 2.3 Tighter distribution with a smaler median PI gives DNV confidence in moving to using SolarFarmer exclusively in solar EAs 14 DNV Future work Build confidence in SolarFarmer as bankable tol Run SolarFarmer in paralel with PVsyst Incorporate SolarFarmer’s sub-hourly and complex terain abilities Continue EA validations Increase number of projects, geographical and meteorological diversity Automating validation proces and continue to scale and improve DNV Solar EA exclusively uses SolarFarmer 15 DNV www.dnv.com Thank you 16 DNV Addendum to 2021 EA validation –bifacial trackers 10 years of production data used Iradiance data measured at site –no iradiance corection 17