Journals / International Journal of Engineering and Geosciences / 2023 / Cilt: 8 - Sayı: 1

Determination of the appropriate zone on dam surface for floating photovoltaic system installation using RS and GISc technologies

Pages
63–75
Publication Date
2023-02-15
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

These analyses revealed energy zones with high production potential, thereby easing the decision-making process for investors planning to establish FPV-SPPs.

📌 3 Key Takeaways

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Objective & Hypothesis:This study aims to reveal suitable places where floating photovoltaic-solar power plants (FPV-SPPs) can be installed on the dam surface using the possibilities of remote sensing (RS) and geographical information science (GISc) technologies.
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Key Findings & Data:In this study, changes in dam water levels were determined by classifying 20-year satellite images and analysing a 32-year global surface water dynamics dataset.
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Conclusion & Impact:These analyses revealed energy zones with high production potential, thereby easing the decision-making process for investors planning to establish FPV-SPPs.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Remote sensing · GIS · Google Earth Engine

Abstract

This study aims to reveal suitable places where floating photovoltaic-solar power plants (FPV-SPPs) can be installed on the dam surface using the possibilities of remote sensing (RS) and geographical information science (GISc) technologies. Past satellite images from Landsat and Sentinel platforms allow researchers to analyse shoreline changes in the dam surface. Shoreline extraction is a crucial process for the FPV-SPP to stay afloat despite external constraints. In this study, changes in dam water levels were determined by classifying 20-year satellite images and analysing a 32-year global surface water dynamics dataset. The water surface area was calculated as 1,562.40 ha using the random forest (RF) algorithm and the normalized differences water index (NDWI) on Google Earth Engine (GEE) cloud platform. In addition, solar analysis was carried out with GISc using annual solar radiation maps shuttle radar topography mission (SRTM) data, which directly affects the energy production of FPV-SPPs. It has been calculated that the solar radiation on the water surface varies between 1,554 kWh/m2-year and 1,875 kWh/m2-year. These calculated values were divided into five different classes, and it was observed that 88.5% of the dam surface had a very high level of solar radiation compared to other areas. Higher efficiency will be obtained from the FPV-SPP to be installed in this region compared to the systems to be installed in other regions. It has been observed that the radiation values in other parts of the water surface are lower due to topographic shading. These analyses revealed energy zones with high production potential, thereby easing the decision-making process for investors planning to establish FPV-SPPs.

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Cite This Article

YILMAZ, O. S., GÜLGEN, F., ATEŞ, A. M. (2023). Determination of the appropriate zone on dam surface for floating photovoltaic system installation using RS and GISc technologies. International Journal of Engineering and Geosciences, Cilt: 8 - Sayı: 1, 63–75. https://ajindex.com/articles/885551

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References (8)

  1. Du, Z., Bin, L., Ling, F., Li, W., Tian, W., Wang, H.,. & Zhang, X. (2012). Estimating surface water area changes using time-series Landsat data in the Qingjiang River Basin, China. Journal of Applied Remote Sensing, 6(1), 063609. https://doi.org/10.1117/1.jrs.6.063609
  2. Molden, D. J., Vaidya, R. A., Shrestha, A. B., Rasul, G., & Shrestha, M. S. (2014). Water infrastructure for the Hindu Kush Himalayas. International Journal of Water Resources Development, 30(1), 60-77.
  3. Du, Y., Zhang, Y., Ling, F., Wang, Q., Li, W., & Li, X. (2016). Water bodies’ mapping from Sentinel-2 imagery with modified normalized difference water index at 10-m spatial resolution produced by sharpening the SWIR band. Remote Sensing, 8(4), 354. https://doi.org/10.3390/rs8040354
  4. Yang, X., & Chen, L. (2017). Evaluation of automated urban surface water extraction from Sentinel-2A imagery using different water indices. Journal of Applied Remote Sensing, 11(2), 026016. https://doi.org/10.1117/1.JRS.11.026016
  5. Su, H., Peng, Y., Xu, C., Feng, A., & Liu, T. (2021). Using improved DeepLabv3+ network integrated with normalized difference water index to extract water bodies in Sentinel-2A urban remote sensing images. Journal of Applied Remote Sensing, 15(1), 018504. Pekel, J. F., Cottam, A., Gorelick, N., & Belward, A. S. (2016). High-resolution mapping of global surface water and its long-term changes. Nature, 540(7633), 418-422. https://doi.org/10.1038/nature20584
  6. Arekhi, M., Goksel, C., Balik Sanli, F., & Senel, G. (2019). Comparative evaluation of the spectral and spatial consistency of Sentinel-2 and Landsat-8 OLI data for Igneada longos forest. ISPRS International Journal of Geo-Information, 8(2), 56. https://doi.org/10.3390/ijgi8020056
  7. Dehwah, A. H., Asif, M., & Rahman, M. T. (2018). Prospects of PV application in unregulated building rooftops in developing countries: A perspective from Saudi Arabia. Energy and Buildings, 171, 76-87. https://doi.org/10.1016/j.enbuild.2018.04.001
  8. Singh, A. K., Boruah, D., Sehgal, L., & Ramaswamy, A. P. (2019). Feasibility study of a grid-tied 2MW floating solar PV power station and e-transportation facility using ‘SketchUp Pro’for the proposed smart city of Pondicherry in India. Journal of Smart Cities, 2(2), 49-59. https://doi.org/10.18063/jsc.2016.02.004 García-Pérez, S., Sierra-Pérez, J., & Boschmonart-Rives, J. (2018). Environmental assessment at the urban level combining LCA-GIS methodologies: A case study of energy retrofits in the Barcelona metropol