This project develops a toolkit for the design, analysis, and optimization of concentrating solar power (CSP) systems, including optimization of both physical design variables and operations and maintenance (O&M) activity. The software is derived and actively developed under funding from the U.S. Department of Energy -- Energy Efficiency and Renewable Energy grant DE-EE00034245 ("Real-time operations optimization software") and was previously funded under grant DE-EE000030338 ("Concurrent optimization of capital cost and expected O&M").
This work is the result of a collaboration between researchers and industry, including:
- National Renewable Energy Laboratory
- Colorado School of Mines
- Northwestern University
Previous contributors include:
- Argonne National Laboratory
For project documentation, please vist the DAO-Tk wiki.
The desktop version of DAO-Tk for Windows or Linux builds from the following open source projects:
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wxWidgets is a cross-platform graphical user interface platform used for SAM's user interface, and for the development tools included with SSC (SDKtool) and LK (LKscript). The current version of SAM uses wxWidgets 3.1.1.
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LK is a scripting language that is integrated into SAM and allows users to add functionality to the program.
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WEX is a set of extensions to wxWidgets for custom user-interface elements used by SAM, and by LKscript and DView, which are integrated into SAM.
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SSC is a set of "compute modules" that simulate different kinds of power systems and financial structures. It can be run directly using the SAM Software Development Kit. If you are looking for the algorithms underlying the models, they are located in this repository.
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Google Test is a C++ test framework that enables comprehensive unit-testing of software. Contributions to the project will eventually be required to have associated unit tests written in this framework.
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This repository, DAO-Tk, provides the user interface to assign values to inputs of the computational modules, run the modules in the correct order, and display calculation results. It also includes tools for editing LK scripts, viewing field layout and receiver flux map data, and performing multi-dimensional system optimization.
For detailed build instructions see the wiki, with specific instructions for:
These are the general quick steps you need to follow to set up your computer for developing DAO-Tk:
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Set up your development tools:
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Download the wxWidgets 3.1.1 source code for your operating system.
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Build wxWidgets.
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In Windows, create the WXMSW3 environment variable on your computer to point to the wxWidgets installation folder, or Linux, create the dynamic link
/usr/<USERNAME>/local/bin/wx-config-3to point to/path/to/wxWidgets/bin/wx-config. -
As you did for wxWidgets, for each of the following projects, clone (download) the repository, build the project, and then (Windows only) create an environment variable pointing to the project folder. Build the projects in the following order, and assign the environment variable for each project before you build the next one:
| Project | Windows Environment Variable |
|---|---|
| wxWidgets | WXMSW3 |
| LK | LKDIR |
| WEX | WEXDIR |
| Google Test | GTEST |
| SSC use the daotk-develop branch |
SSCDIR |
| DAO-Tk |
- After successfully building all repositories, copy the SSC shared or DLL object from the SSC build folder into the platform-specific DAO-Tk deploy folder. For example, on Linux:
cp ~/projects/ssc/build_linux/ssc.so ~/projects/dao-tk/deploy/linux/ssc.so
Windows distributions require the following DLL's (in addition to ssc.dll):
dbghelp, libcurl, libeay32, libssh2, msvcp120, msvcr120, ssleay32, vcruntime140
These can be located from system path directories or downloaded from NREL's FTP server.
Access is currently limited only to project partners. To obtain access, please send a request to Mike.
Please see the contributing guidelines page for specific information on contributing.
DAO-Tk's open source code is copyrighted by the U.S. Department of Energy -- Energy Efficiency and Renewable Energy under a mixed MIT and GPLv3 license. It allows for-profit and not-for-profit organizations to develop and redistribute software based on DAO-Tk under terms of an MIT license and requires that research entities including national laboratories, colleges and universities, and non-profit organizations make the source code of any redistribution publicly available under terms of a GPLv3 license.
The code in this project is organized as follows:
| Folder | Description |
|---|---|
| ./app | Source code for the user interface and scripting routines |
| ./build_linux | Build and makefiles for linux platforms |
| ./build_vs2017 | Build and project files for VisualStudio 2017 (v15) |
| ./deploy | Files contained in the distribution package |
| ./deploy/samples | Sample project and script files |
| ./deploy/rs | Libraries used by the models |
| ./deploy/samples | Sample files and LK scripts |
| ./libclearsky | Source code for clear sky irradiance model |
| ./libcluster | Source code for the data clustering model |
| ./libcycle | Source code for the cycle availability and failure model |
| ./liboptical | Source code for the optical degradation and soiling model |
| ./liboptimize | Source code and libraries for the nonlinear design optimization problem |
| ./libsolar | Source code for the solar field failure model |
DAO-Tk utilizes the following open-source libraries:
| Project | Version | Usage |
|---|---|---|
| RapidJSON | v1.1.0 | JSON read-write library for project files |
| Eigen | v3.3.5 | Eigen is a C++ template library for linear algebra - matrices, vectors, numerical solvers, and related algorithms. |
| NLOpt | v2.5 | NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. |
| lp_solve | v5.5.2.5 | lp_solve is a free linear (integer) programming solver based on the revised simplex method and the Branch-and-bound method for the integers. |