Abstract and keywords
Abstract (English):
In this paper a review of existing software tools for the evaluating and modeling of renewable energy sources, which allow to determine various aspects, such as: the amount of incoming energy for a particular area, the economic feasibility of involving an alternative source, the impact on the environment, the cost of the projected system, the features of the terrain, etc. Programs for the evaluation of solar and wind energy, as well as solutions allowing the evaluation of several different types of renewable energy sources were considered. As a result, open-source software tools, such as: QGIS, SAGA GIS, which can be integrated into the implementation of a comprehensive assessment of renewable energy sources to perform certain functions, such as a preliminary assessment of the gross renewable energy potential in specific geographical conditions and identifying topographical features of the regions under consideration, were defined.

Keywords:
potential assessment models, smart models, renewable energy, solar energy
Text
Text (PDF): Read Download
References

1. Aurora Solar (2023), Aurora Platform, http://www.aurorasolar.com/, (date of access: 09/04/2023).

2. Buchatskiy, P. Y., S. V. Onishchenko, and A. S. Platonov (2019a), Development of a software and hardware complex for measuring wind speed on the Arduino platform, in Distance educational technologies: materials IV All-Russian Scientific and Practical Conference (with international participation), Yalta, September 16-21, 2019, pp. 250-257, IT "Arial", Simferopol (in Russian).

3. Buchatskiy, P. Y., S. V. Teploukhov, S. V. Onishchenko, A. S. Platonov, A. A. Avdzhiyan, and V. E. Avdeev (2019b), Implementation of the power assessment appliance for renewable energy sources, The Bulletin of the Adyghe State University, the series "Natural-Mathematical and Technical Sciences", 4(251), 103-108 (in Russian).

4. Buchatskiy, P. Y., S. V. Teploukhov, and S. V. Onishchenko (2020), Software and Hardware Complex for Evaluating the Potential of Wind and Solar Energy, in 2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), IEEE, https://doi.org/10.1109/ICIEAM48468.2020.9112028.

5. Buchatskiy, P. Y., S. V. Onishchenko, S. V. Teploukhov, and A. N. Lisova (2023), New Renewable Energy Conversion Technologies, in Fundamental and Applied Aspects of Geology, Geophysics and Geoecology Using Modern Information Technologies. VII International Scientific and Practical Conference. Part I, pp. 49-57, IP Kucherenko V. O., Maykop (in Russian).

6. CadWare S.r.L. P.I. (2013), BlueSol. Photovoltaic design software, http://www.bluesolpv.com/, (date of access: 09/04/2023).

7. EMD International A/S (2023), WindPRO is the industry leading software suite for design and planning of wind farm projects, https://www.emd-international.com/windpro/, (date of access: 09/04/2023).

8. Enerdata (2009), The share of renewable energy in the global energy mix has increased by 10 percentage points since 2010 to almost 30%, https://energystats.enerdata.net/renewables/renewable-in-electricity-production-share.html (in Russian), (date of access: 09/04/2023).

9. EU Science Hub (2023), Photovoltaic Geographical Information System (PVGIS), https://joint-research-centre.ec.europa.eu/pvgis-online-tool_en, (date of access: 09/04/2023).

10. Government of Canada (2022), RETScreen Clean Energy Management Software platform, http://www.retscreen.net, (date of access: 09/04/2023).

11. HelioScope, an Aurora Inc. Company (2022), HelioScope, https://www.helioscope.com/, (date of access: 09/04/2023).

12. HOMER Software (2021), HOMER (Hybrid Optimization of Multiple Energy Resources), https://www.homerenergy.com/, (date of access: 09/04/2023).

13. Institute of Geography Göttingen (2001), SAGA - System for Automated Geoscientific Analyses, https://saga-gis.sourceforge.io/en/index.html, (date of access: 09/04/2023).

14. IRENA - International Renewable Energy Agency (2023), Global Atlas, https://globalatlas.irena.org/workspace, (date of access: 09/04/2023).

15. Kotelenko, S., and A. Ryabov (2018), The advantages and disadvantages of alternative Energy, Izvestiya Tula State University, (12), 84-88 (in Russian).

16. Photovoltaic Software (2023), A powerful software for your photovoltaic systems, (date of access: 09/04/2023).

17. QGIS (2023), QGIS. A Free and Open Source Geographic Information System, https://qgis.org/en/site/, (date of access: 09/04/2023).

18. Saru Technologies Pty (2023), Pylon. #1 Solar Design & CRM Software for fast-growing solar businesses, https://getpylon. com, (date of access: 09/04/2023).

19. Simankov, V. S., and P. Y. Buchatskiy (2019), Methodological Basis for Assessing Effectiveness of Involvement of Renewable Energy in Regional Energy Balance, in 2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), IEEE, https://doi.org/10.1109/ICIEAM.2019.8742922.

20. Simankov, V. S., P. Y. Buchatskiy, S. V. Onishchenko, and S. V. Teploukhov (2023), Overview of models for estimating and predicting solar energy supply, in Fundamental and Applied Aspects of Geology, Geophysics and Geoecology Using Modern Information Technologies. VII International Scientific and Practical Conference. Part II, pp. 167-174, IP Kucherenko V. O., Maykop (in Russian).

21. Sustainable Energy Planning Research Group at Aalborg University (2000), EnergyPLAN - Advanced Analysis of Smart Energy Systems, https://www.energyplan.eu/, (date of access: 09/04/2023).

22. TRNSYS (2019), TRNSYS Transient System Simulation Tool, https://www.trnsys.com/, (date of access: 09/04/2023).

23. U. S. Department of Energy (2023), Small Wind Economic Model. Wind Energy Payback Period Workbook (v1.0), https://windexchange.energy.gov/files/docs/small_wind_economic_model.xls, (date of access: 09/04/2023).

24. U. S. Environmental Protection Agency (2022), WASP Model Tutorials, https://www.epa.gov/ceam/wasp-model-tutorials, (date of access: 09/04/2023).

25. UL Solutions (2022), Openwind. Wind Farm Modeling and Layout Design Software, https://www.ul.com/services/openwind-wind-farm-modeling-and-layout-design-software, (date of access: 09/04/2023).

26. University of Massachusetts Amherst (2016), The Wake Induced Dynamics Simulator (WInDS), https://www.umass.edu/windenergy/research/software/WInDS, (date of access: 09/04/2023).

27. University of Massachusetts Amherst (2023), AQUA, https://www.umass.edu/windenergy/research/topics/tools/software/aqua, (date of access: 09/04/2023).

28. Valentin Software (2023), PV Sol Free & Premium, https://pvsol.software/en/, (date of access: 09/04/2023)

Login or Create
* Forgot password?