https://github.com/anl-ceeesa/solar-leap
Science Score: 13.0%
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Low similarity (10.9%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: ANL-CEEESA
- License: other
- Language: Python
- Default Branch: main
- Size: 88.9 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Solar-LEAP
Solar-LEAP is an open-source decision support tool to implement prognostics-based maintennce in real-world solar inverter O&M schedules.
Sample Usage
```python from invsimulation import invsimulation, distprep, dmcprep from drawplot import drawplotf1, drawplotf2, drawplot_f3
simulation of inverter operation
plotdata [f'i{invnum}'], [maintday, mainttype, maintnadays, maintcost, ftsample, dayit] = invsimulation (invnum, inputscaledict, inputcp, inputcf, nadayspm, nadayscm, simulationenddays, simulationstepdays, day, dayit, maintday, mainttype, maintnadays, maintcost, ftsample)
through (1) failure time prediction; (2) dynamic maintennace cost and (3) maintenance metric summary
drawplotf1(invnum, canvasfigaxdict, day, dayit, plotdata) drawplotf2(invnum, canvasfigaxdict, day, dayit, plotdata) drawplotf3(invnum, canvasfigaxdict, day, dayit, plotdata, maintnadays, maintcost, eurproposed)
GUI developed using PysimpleGUI package.
layout1 = ['input module'] layout2 = ['output module - visulization' ] layout3 = ['output module - quick results skipping visualization' ]
```
Authors
- Shijia Zhao (Argonne National Laboratory)
- Liming Liu (Iowa State University)
- Murat Yildirim (Wayne State University)
Acknowledgments
- This tool is based upon work supported by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy (EERE) under the Solar Energy Technologies Office Award Number 39640..
Citing
If you use Solar-LEAP in your research (instances, models or algorithms), we kindly request that you cite the package as follows:
- Yi Luo, Liming Liu, Yuxuan Yuan, Zhaoyu Wang, Murat Yildirim, Feng Qiu, Shijia Zhao. “Data-Driven Assessment of Operational and Harsh Environmental Stress Factors for Solar Inverters using Field Measurements”, PES-General Meeting, 2024
License
```text Solar-LEAP: A Python optimization package for the inspection and maintenance scheduling of marine energy systems. Copyright © 2022-2024, UChicago Argonne, LLC. All Rights Reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
- Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ```
Solar-LEAP
Owner
- Name: ANL-CEEESA
- Login: ANL-CEEESA
- Kind: organization
- Location: Argonne, IL
- Website: https://github.com/argonne-national-laboratory
- Repositories: 8
- Profile: https://github.com/ANL-CEEESA
Argonne National Laboratory's Center for Energy, Environmental, and Economic Systems Analysis (CEEESA)