The System Advisor Model (SAM) is a performance and financial model designed to facilitate decision making for people involved in the renewable energy industry:
The SAM main window showing monthly electricity generation and the annual cash flow for a photovoltaic system.

Project managers and engineers

Policy analysts

Technology developers

Researchers
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SAM makes performance predictions and cost of energy estimates for gridconnected power projects based on installation and operating costs and system design parameters that you specify as inputs to the model. Projects can be either on the customer side of the utility meter, buying and selling electricity at retail rates, or on the utility side of the meter, selling electricity at a price negotiated through a power purchase agreement (PPA).
The first step in creating a SAM file is to choose a technology and financing option for your project. SAM automatically populates input variables with a set of default values for the type of project. It is your responsibility as an analyst to review and modify all of the input data as appropriate for each analysis. Next, you provide information about a project's location, the type of equipment in the system, the cost of installing and operating the system, and financial and incentives assumptions.
SAM Models and Databases
SAM represents the cost and performance of renewable energy projects using computer models developed at NREL, Sandia National Laboratories, the University of Wisconsin, and other organizations. Each performance model represents a part of the system, and each financial model represents a project's financial structure. The models require input data to describe the performance characteristics of physical equipment in the system and project costs. SAM's user interface makes it possible for people with no experience developing computer models to build a model of a renewable energy project, and to make cost and performance projections based on model results.
To describe the renewable energy resource and weather conditions at a project location, SAM requires a weather data file. Depending on the kind of system you are modeling, you either choose a weather data file from a list, download one from the Internet, or create the file using your own data.
SAM includes several libraries of performance data and coefficients that describe the characteristics of system components such as photovoltaic modules and inverters, parabolic trough receivers and collectors, wind turbines, and biopower combustion systems. For those components, you simply choose an option from a list, and SAM applies values from the library to the input variables.
SAM can automatically download data and populate input variable values from the following online databases:
For the remaining input variables, you either use the default value or change its value. Some examples of input variables are:

Installation costs including equipment purchases, labor, engineering and other project costs, land costs, and operation and maintenance costs.

Numbers of modules and inverters, tracking type, derating factors for photovoltaic systems.

Collector and receiver type, solar multiple, storage capacity, power block capacity for parabolic trough systems.

Analysis period, real discount rate, inflation rate, tax rates, internal rate of return target or power purchase price for utility financing models.

Building load and timeofuse retail rates for commercial and residential financing models.

Tax and cash incentive amounts and rates.
Once you are satisfied with the input variable values, you run simulations, and then examine results. A typical analysis involves running simulations, examining results, revising inputs, and repeating that process until you understand and have confidence in the results.
Results: Tables, Graphs, and Reports
The Results page showing the energy loss diagram for a photovoltaic system.
SAM displays modeling results in tables and graphs, ranging from the metrics table that displays levelized cost of energy, first year annual production, and other singlevalue metrics, to tables and graphs that show detailed annual cash flows and hourly performance data.
After you run simulations, SAM displays a set of default graphs. You can customize the graphs by changing titles, colors, and font sizes, or create new graphs that show different data. You can also export images of all graphs and the data they display to include in reports and presentations, or to analyze further analysis with other software.
Performance Models
SAM's performance models make hourbyhour calculations of a power system's electric output, generating a set of 8,760 hourly values that represent the system's electricity production over a single year. You can explore the system's performance characteristics in detail by viewing tables and graphs of the hourly and monthly performance data, or use performance metrics such as the system's total annual output and capacity factor for more general performance evaluations.
The current version of the SAM includes performance models for the following technologies:

Photovoltaic systems (flatplate and concentrating)

Parabolic trough concentrating solar power

Power tower concentrating solar power (molten salt and direct steam)

Linear Fresnel concentrating solar power

DishStirling concentrating solar power

Conventional thermal

Solar water heating for residential or commercial buildings

Large and small wind power

Geothermal power and geothermal coproduction

Biomass power
The Time Series graph on the Results page showing hourly electricity generation for a 100 MW parabolic trough system with 6 hours of storage.
You can compare different kinds of projects by creating more than one case in a file. For example, you can compare the savings of a residential rooftop solar water heater to those of a photovoltaic system, or for a large utilityscale project, compare the power purchase price that would be required to make a wind, photovoltaic, and concentrating solar power project profitable at a given location. SAM does not model hybrid power systems, so, for example you cannot model a single project that combines wind turbines and photovoltaic modules.
Financial Models
SAM's financial model calculates financial metrics for various kinds of power projects based on a project's cash flows over an analysis period that you specify. The financial model uses the system's electrical output calculated by the performance model to calculate the series of annual cash flows.
SAM includes financial models for the following kinds of projects:

Residential (retail electricity rates)

Commercial (retail rates or power purchase agreement)

Utilityscale (power purchase agreement):

Single owner

Leveraged partnership flip

All equity partnership flip

Sale leaseback
Residential and Commercial Projects
Residential and commercial projects are financed through either a loan or cash payment, and recover investment costs through savings from reduced electricity purchases from the electricity service provider. For electricity pricing, SAM can model simple flat buy and sell rates, monthly net metering, or complex rate structures with tiered timeofuse pricing. For these projects, SAM reports the following metrics:

Levelized cost of energy

Electricity cost with and without renewable energy system

Electricity savings

Aftertax net present value

Payback Period
Power Purchase Agreement (PPA) Projects
Utility and commercial PPA projects are assumed to sell electricity through a power purchase agreement at a fixed price with optional annual escalation and timeofdelivery (TOD) factors. For these projects, SAM calculates:

Levelized cost of energy

PPA price (electricity sales price)

Internal rate of return

Net present value

Debt fraction or debt service coverage ratio
SAM can either calculate the internal rate of return based on a power price you specify, or calculate the power price based on the rate of return you specify.
Levelized Cost of Energy and Cash Flow
SAM calculates the levelized cost of energy (LCOE) aftertax cash flows for projects using retail electricity rates, and from the revenue cash flow for projects selling electricity under a power purchase agreement.
The first several rows of the cash flow table for a utilityscale project.
The project annual cash flows include:

Revenues from electricity sales and incentive payments

Installation costs

Operating, maintenance, and replacement costs

Loan principal and interest payments

Tax benefits and liabilities (accounting for any tax credits for which the project is eligible)

Incentive payments

Project and partner's internal rate of return requirements (for PPA projects)
Incentives
The financial model can account for a wide range of incentive payments and tax credits:

Investment based incentives (IBI)

Capacitybased incentives (CBI)

Productionbased incentives (PBI)

Investment tax credits (ITC)

Production tax credits (PTC)

Depreciation (MACRS, Straightline, custom, bonus, etc.)
Analysis Options
In addition to simulating a system's performance over a single year and calculating a project cash flow over a multiyear period, SAM's analysis options make it possible to conduct studies involving multiple simulations, linking SAM inputs to a Microsoft Excel workbook, and working with custom simulation modules. The following options are for analyses that investigate impacts of variations and uncertainty in assumptions about weather, performance, cost, and financial parameters on model results:
The report generator exports a PDF file with a summary of the main inputs and results from a SAM analysis case..

Parametric Analysis: Assign multiple values to input variables to create graphs and tables showing the value of output metrics for each value of the input variable. Useful for optimization and exploring relationships between input variables and results.

Sensitivity Analysis: Create tornado graphs by specifying a range of values for input variables as a percentage.

Statistical: Create histograms showing the sensitivity of output metrics to variations in input values.

P50/P90: For locations with weather data available for many years, calculate the probability that the system's total annual output will exceed a certain value.
For files with multiple cases, the Multiple Subsystems option allows you to model a project that combines systems from the cases, assuming that the system's total electrical output is the sum of the output of the subsystems modeled in each case, and applies the financing model from one case to this total output.
SAM also makes it possible to work with external models developed in Excel or the TRNSYS simulation platform:

Excel Exchange: Use Excel to calculate the value of input variables, and automatically pass values of input variables between SAM and Excel.

Exchange Variables: Create your own input variables for use with Excel Exchange or a custom TRNSYS deck.

Simulator Options: Change the simulation time step, or run SAM with your own simulation modules developed in the TRNSYS modeling platform.
Finally, SAM's scripting language SamUL allows you to write your own programs within the SAM user interface to control simulations, change values of input variables, and write data to text files.
Software Development History and Users
SAM, originally called the "Solar Advisor Model" was developed by the National Renewable Energy Laboratory in collaboration with Sandia National Laboratories in 2005, and at first used internally by the U.S. Department of Energy's Solar Energy Technologies Program for systemsbased analysis of solar technology improvement opportunities within the program. The first public version was released in August 2007 as Version 1, making it possible for solar energy professionals to analyze photovoltaic systems and concentrating solar power parabolic trough systems in the same modeling platform using consistent financial assumptions. Since 2007, two new versions have been released each year, adding new technologies and financing options. In 2010, the name changed to "System Advisor Model" to reflect the addition of nonsolar technologies.
The DOE, NREL, and Sandia continue to use the model for program planning and grant programs. Since the first public release, over 35,000 people representing manufacturers, project developers, academic researchers, and policy makers have downloaded the software. Manufacturers are using the model to evaluate the impact of efficiency improvements or cost reductions in their products on the cost of energy from installed systems. Project developers use SAM to evaluate different system configurations to maximize earnings from electricity sales. Policy makers and designers use the model to experiment with different incentive structures.
Downloading SAM and User Support
SAM runs on both Windows and OS X. It requires about 500 MB of storage space on your computer. SAM is available for free download. To download the software, you must register for an account on the website. After registering, you will receive an email with your account information. SAM's website includes software descriptions, links to publications about SAM and other resources:
SAM's help system includes detailed descriptions of the user interface, modeling options, and results.
The following resources are available for learning to use SAM and for getting help with your analyses:

Help system: Press the F1 key in Windows or Command? in Mac OS from any input or results page in SAM to view the Help topic for that page.

User support forum

Documentation, videos, and training schedule on the SAM website Learning page
You can contact the SAM support team by submitting a message on the Contact Us page.
Model Structure
SAM consists of a user interface, calculation engine, and programming interface. The user interface is the part of SAM that you see, and provides access to input variables and simulation controls, and displays tables and graphs of results. SAM's calculation engine performs a timestepbytimestep simulation of a power system's performance, and a set of annual financial calculations to generate a project cash flow and financial metrics. The programming interface allows external programs to interact with SAM.
The user interface performs three basic functions:

Provide access to input variables, which are organized into input pages. The input variables describe the physical characteristics of a system, and the cost and financial assumptions for a project.

Allow you to control how SAM runs simulations. You can run a basic simulation, or more advanced simulations for optimization and sensitivity studies.

Provide access to output variables in tables and graphs on the Results page, and in files that you can access in a spreadsheet program or graphical data viewer.
Simulation Engine
Each renewable energy technology in SAM has a corresponding performance model that performs calculations specific to the technology. Similarly, each financing option in SAM is also associated with a particular financial model with its own set of inputs and outputs. The financial models are as independent as possible from the performance models to allow for consistency in financial calculations across the different technologies.
A performance simulation consists of a series of many calculations to emulate the performance of the system over a one year period in time steps of one hour for most simulations, and shorter time steps for some technologies.
A typical simulation run consists of the following steps:

After starting SAM, you select a combination of technology and financing options for a case in the user interface.

Behind the scenes, SAM chooses the proper set of simulation and financial models.

You specify values of input variables in the user interface. Each variable has a default value, so it is not necessary to specify a value for every variable.

When you click the Run button, SAM runs the simulation and financial models. For advanced analyses, you can configure simulations for optimization or sensitivity analyses before running simulations.

SAM displays graphs and tables of results in the user interface's Results page.