An Approach on Developing a Dynamic Wind-Solar Map for Tracking Electricity Production Potential and Energy Harvest

Year 2022, Volume: 9 Issue: 2, 62 - 78, 30.06.2022

Fırat Salmanoğlu Numan Sabit Çetin

https://doi.org/10.54287/gujsa.1085005

Cited By: 1

Abstract

Increasing energy demand brings in technical, environmental and economic problems as the production processes evolve. In this parallel, many countries are trying to satisfy the increasing energy demand using renewable energy sources. The scope of this study is to develope a mathematical model and data monitoring-evaluation software for wind and solar renewable energy sources, which can dynamically evaluate meteorological data measurements and make more precise energy harvest estimation with the data obtained. It is aimed to create a web based “Dynamic Wind-Sun Map of Turkey”. Through the developed software; instant data can be analyzed and instantaneous electrical energy values produced from wind and solar energy sources can be calculated. Thus, it can help create a system that allows regional management in energy production and is compatible. Within the scope of the study, a mathematical model expressing the problem was created by using some mathematical optimization methods. The created model was converted into a web-based software. PHP software development platform and MySQL database language were used during the software creation. The software developed within the scope of the study has analogues in the world literature. However, no study has been found in this context in Turkey. Especially since it can use real-time data and includes wind-photovoltaic calculations together, this software distinguishes it from its peers.

Keywords

Renewable Energy, Photovoltaic, Wind, Dynamic Map, Optimization

References

• Amiri, B., Gómez-Orellana, A. M., Gutiérrez, P. A., Dizène, R., Hervás-Martínez, C., & Dahmani, K. (2021). A novel approach for global solar irradiation forecasting on tilted plane using Hybrid Evolutionary Neural Networks. Journal of Cleaner Production, 287, 125577. doi:10.1016/j.jclepro.2020.125577
• BP (January 2011). Energy Outlook 2030. (Accessed: 22/04/2022) https://www.bp.com/content/dam/bp/ business-sites/en/global/corporate/pdfs/energy-economics/energy-outlook/bp-energy-outlook-2011.pdf
• EİGM, General Directorate of Energy Affairs (2022a). Solar Energy Potential Atlas, Güneş Enerjisi Potansiyel Atlası, GEPA. (Accessed: 22/04/2022) https://gepa.enerji.gov.tr/MyCalculator/
• EİGM, General Directorate of Energy Affairs (2022b). Turkey Wind Energy Potential, Türkiye Rüzgâr Enerjisi Potansiyeli, REPA. (Accessed: 22/04/2022) https://repa.enerji.gov.tr/REPA/
• Fotso, H. R. F., Kazé, C. V. A., & Kenmoé, G. D. (2021). Real-time rolling bearing power loss in wind turbine gearbox modeling and prediction based on calculations and artificial neural network. Tribology International, 163, 107171. doi: 10.1016/j.triboint.2021.107171
• Honsberg, C. B., & Bowden, S. G. (2019). Solar Radiation on a Tilted Surface. (Accessed: 27/10/2021) https://www.pveducation.org/pvcdrom/properties-of-sunlight/solar-radiation-on-a-tilted-surface
• IEA, International Energy Agency (2020). Global Energy Review 2019. doi:10.1787/90c8c125-en
• IEA, International Energy Agency (2021). Electricity Market Report, July 2021. doi:10.1787/f4044a30-en
• NREL, National Renewable Energy Laboratory (2021). Geospatial Data Science. (Accessed: 23/10/2021) https://www.nrel.gov/gis/
• Salmanoǧlu, F., & Çetin, N. S. (2013). The software package for design optimization of the wind/photovoltaic autonomous hybrid power system: A case study for Ankara city. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 35(20), 1946-1955. doi:10.1080/15567036.2011.572114
• Serban, A., Paraschiv, L.S., & Paraschiv, S. (2020). Assessment of wind energy potential based on Weibull and Rayleigh distribution models. Energy Reports, 6, 250-267. doi: 10.1016/j.egyr.2020.08.048
• Sharma, A., Kallioğlu, M. A., Awasthi, A., Chauhan, R., Fekete, G., & Singh, T. (2021). Correlation formulation for optimum tilt angle for maximizing the solar radiation on solar collector in the Western Himalayan region. Case Studies in Thermal Engineering, 26, 101185. doi:10.1016/j.csite.2021.101185
• Stanciu, C., & Stanciu, D. (2014). Optimum tilt angle for flat plate collectors all over the World - A declination dependence formula and comparisons of three solar radiation models. Energy Conversion and Management, 81, 133-143. doi:10.1016/j.enconman.2014.02.016
• Sultan, S. M., Tso, C. P., & Efzan, M. N. E. (2020). A new approach for photovoltaic module cooling technique evaluation and comparison using the temperature dependent photovoltaic power ratio. Sustainable Energy Technologies and Assessments, 39, 100705. doi:10.1016/j.seta.2020.100705
• Suvire, G. O. (2011). Wind Farm: Technical Regulations, Potential Estimation and Siting Assessment. In Tech Publishing.
• Takilalte, A., Harrouni, S., Yaiche, M. R., & Mora-López, L. (2020). New approach to estimate 5-min global solar irradiation data on tilted planes from horizontal measurement. Renewable Energy, 145, 2477-2488. doi:10.1016/j.renene.2019.07.165
• UNFCCC, United Nations Climate Change (2020). What is the Kyoto Protocol? (Accessed: 20/10/2021) https://unfccc.int/kyoto_protocol