Advances in CSP Simulation Technology in the System Advisor Model

Research output: Contribution to conferencePaperpeer-review

44 Scopus Citations

Abstract

The System Advisor Model (SAM) is modeling software for renewable energy systems developed by the National Renewable Energy Laboratory (NREL). SAM combines annual time series power production models with financial models to estimate the levelized cost of energy (LCOE) and other metrics for renewable energy projects. To date, SAM has utilized the general purpose commercial TRNSYS transient systems modeling software package for CSP simulations and originally PV and wind. To achieve: (1) significantly faster model performance, (2) easy parallelization of concurrent simulations to take advantage of modern multi-core processor desktop computers, (3) to allow straightforward modification of CSP component models in the SAM environment, and (4) ability to include CSP technologies in the SAM Software Development Kit (SDK), NREL has undertaken to reformulate the CSP models into a new transient simulation framework written in C++, by NREL. This framework is tailored specifically for use in SAM and not for general purpose modeling like TRNSYS. Preliminary results show excellent matching with the accepted TRNSYS-based models, as well as an order of magnitude reduction in simulation time for certain models. These runtime reductions enable larger scale plant configuration analysis, as well as grid-integration studies that require many thousands of simulations.

Original languageAmerican English
Pages2482-2489
Number of pages8
DOIs
StatePublished - 2014
EventInternational Conference on Solar Power and Chemical Energy Systems, SolarPACES 2013 - Las Vegas, NV, United States
Duration: 17 Sep 201320 Sep 2013

Conference

ConferenceInternational Conference on Solar Power and Chemical Energy Systems, SolarPACES 2013
Country/TerritoryUnited States
CityLas Vegas, NV
Period17/09/1320/09/13

NREL Publication Number

  • NREL/CP-6A20-61629

Keywords

  • Concentrating solar power simulation
  • Systems modeling

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