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Title: System Advisor Model (SAM) General Description (Version 2017.9.5)

Abstract

This document describes the capabilities of the System Advisor Model (SAM) developed and distributed by the U.S. Department of Energy's National Renewable Energy Laboratory. The document is for potential users and others wanting to learn about the model's capabilities. SAM is a techno-economic computer model that calculates performance and financial metrics of renewable energy projects. Project developers, policy makers, equipment manufacturers, and researchers use graphs and tables of SAM results in the process of evaluating financial, technology, and incentive options for renewable energy projects. SAM simulates the performance of photovoltaic, concentrating solar power, solar water heating, wind, geothermal, biomass, and conventional power systems. The financial models are for projects that either buy and sell electricity at retail rates (residential and commercial) or sell electricity at a price determined in a power purchase agreement (PPA). SAM's simulation tools facilitate parametric and sensitivity analyses, Monte Carlo simulation and weather variability (P50/P90) studies. SAM can also read input variables from Microsoft Excel worksheets. For software developers, the SAM software development kit (SDK) makes it possible to use SAM simulation modules in their applications written in C/C plus plus, C sharp, Java, Python, MATLAB, and other languages.

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
OSTI Identifier:
1440404
Report Number(s):
NREL/TP-6A20-70414
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; System Advisor Model; SAM; modeling; PV; wind; CSP; financial model

Citation Formats

Freeman, Janine M., DiOrio, Nicholas A., Blair, Nathan J., Neises, Ty W., Wagner, Michael J., Gilman, Paul, and Janzou, Steven. System Advisor Model (SAM) General Description (Version 2017.9.5). United States: N. p., 2018. Web. doi:10.2172/1440404.
Freeman, Janine M., DiOrio, Nicholas A., Blair, Nathan J., Neises, Ty W., Wagner, Michael J., Gilman, Paul, & Janzou, Steven. System Advisor Model (SAM) General Description (Version 2017.9.5). United States. doi:10.2172/1440404.
Freeman, Janine M., DiOrio, Nicholas A., Blair, Nathan J., Neises, Ty W., Wagner, Michael J., Gilman, Paul, and Janzou, Steven. Thu . "System Advisor Model (SAM) General Description (Version 2017.9.5)". United States. doi:10.2172/1440404. https://www.osti.gov/servlets/purl/1440404.
@article{osti_1440404,
title = {System Advisor Model (SAM) General Description (Version 2017.9.5)},
author = {Freeman, Janine M. and DiOrio, Nicholas A. and Blair, Nathan J. and Neises, Ty W. and Wagner, Michael J. and Gilman, Paul and Janzou, Steven},
abstractNote = {This document describes the capabilities of the System Advisor Model (SAM) developed and distributed by the U.S. Department of Energy's National Renewable Energy Laboratory. The document is for potential users and others wanting to learn about the model's capabilities. SAM is a techno-economic computer model that calculates performance and financial metrics of renewable energy projects. Project developers, policy makers, equipment manufacturers, and researchers use graphs and tables of SAM results in the process of evaluating financial, technology, and incentive options for renewable energy projects. SAM simulates the performance of photovoltaic, concentrating solar power, solar water heating, wind, geothermal, biomass, and conventional power systems. The financial models are for projects that either buy and sell electricity at retail rates (residential and commercial) or sell electricity at a price determined in a power purchase agreement (PPA). SAM's simulation tools facilitate parametric and sensitivity analyses, Monte Carlo simulation and weather variability (P50/P90) studies. SAM can also read input variables from Microsoft Excel worksheets. For software developers, the SAM software development kit (SDK) makes it possible to use SAM simulation modules in their applications written in C/C plus plus, C sharp, Java, Python, MATLAB, and other languages.},
doi = {10.2172/1440404},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {5}
}

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