Overview of DuraMat software tool development (poster version)
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This document provides an overview of software tools being developed by the DuraMat project to analyze photovoltaic systems. It summarizes six software tools that serve two main purposes: core functions for PV analysis and modeling operation/degradation, and tools for project planning and reducing levelized cost of energy (LCOE). The core function tools include PVAnalytics for data processing and a PV-Pro preprocessor. Tools for operation/degradation include PV-Pro, PVOps, PVArc, and pv-vision. Tools for project planning and LCOE include a simplified LCOE calculator and VocMax string length calculator. All tools are open source and designed for large PV data sets.
Overview of DuraMat software tool development (poster version)
- 1. Overview of DuraMat software tool development (poster version) Anubhav Jain Lawrence Berkeley National Laboratory w/contributions from: Todd Karin (LBL), Xin Chen (LBL), Thushara Gunda (Sandia), Cliff Hansen (Sandia), Bennet Meyers (Stanford), Brittany Smith (NREL) and their respective teams
- 2. DuraMat-funded projects are developing software to solve a spectrum of PV problems 2 Core functions common to many PV analyses Operation and degradation in the field Planning and reduction of LCOE pvanalytics pv-pro data preprocessor pv-pro pvOps pvARC pv-vision simple LCOE calculator vocmax
- 3. Two projects relate to core functions that may be useful to a variety of analyses 3 Core functions common to many PV analyses PVAnalytics: github.com/pvlib/pvanalytics PV-Pro data pre-processor: https://github.com/DuraMAT/pvpro A suite of tools for: • Quality control • Feature identification • System property ID • Performance metric calculation Compatible with pvlib! • 0: System at maximum power point. • 1: System at open circuit conditions. • 2: Clipped or curtailed. • -1: No power/inverter off • -2: Other (errors, corrupted data) Lead: Cliff Hansen Lead: Bennet Meyers
- 4. Four projects relate to analyzing operation data and degradation in the field - 1 4 PVPro fits a single diode model from operation data (modules or strings), allowing extraction of time-dependent values of parameters like Rs, Rsh, Isc, etc. Operation and degradation in the field PVPro: https://github.com/DuraMAT/pvpro { “Date_EventStart”: XXX “Date_EventEnd”:XXX “Asset”:XXX “ProductionImpact”:XXX “Response”:XXX “IssueDescription”:XXX } Lead: Todd Karin Lead: Thushara Gunda PVOps: PVOps is undergoing review and will be on Github soon PVOps parses operational records in text form into a structured data format.
- 5. Four projects relate to analyzing operation data and degradation in the field - 2 5 PVArc is a codebase supporting quick and easy field measurements of ARC thickness based on examination of the reflectance spectrum or even color. Operation and degradation in the field PVArc: https://github.com/DuraMAT/pvarc Lead: Todd Karin Lead: Xin Chen pv-vision: https://github.com/hackingmaterials/pv-vision PV-Vision uses neural networks to detect features such as cracks, busbars, and dark areas in electroluminescence images
- 6. Two projects relate to project planning and LCOE 6 Simplified PV LCOE calculator: www.github.com/NREL/PVLCOE VocMax String Length calculator: https://github.com/toddkarin/vocmax https://pvtools.lbl.gov The simplified LCOE calculator allows you to perform parametric analysis on how various factors (e.g.., addition of anti-souling coating) may affect overall LCOE The VocMax calculator allows you to use a site-specific modeling approach to determine how the maximum voltage of modules is expected to fluctuate based on the environmental conditions, allowing you to decide on a sensible string length. Lead: Brittany Smith Lead: Todd Karin Planning and reduction of LCOE
- 7. Conclusions • In addition to papers and reports, software and data represent important outputs for research • DuraMat has a diverse portfolio of software development projects across the chain of PV operation • Projects share common DNA such as (i) open source, (ii) based on Python, (iii) designed for large data sets, and (iv) collaborative development • We would be very happy to hear from you! 7