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Smart city article details

Title	3D Modeling Of Urban Environment For Efficient Renewable Energy Production In The Smart City
ID_Doc	143
Authors	Anbari S.; Majidi B.; Movaghar A.
Year	2019
Published	2019 7th Iranian Joint Congress on Fuzzy and Intelligent Systems, CFIS 2019
DOI	http://dx.doi.org/10.1109/CFIS.2019.8692154
Abstract	One of the major challenges faced by the humanity in the next century is the climate change and global warming. Climate change is caused by the rapid emission of greenhouse gases. Energy production industry is facing the challenge of providing the energy require by the rapidly expanding need of urbanized societies while reducing their emission. Clean and renewable energy sources such as solar and wind energy can gradually replace the energy sources with high emission. Smart cities can provide a major part of their energy requirements using these clean energy sources. The energy sector should be able to make decisions about the best scenarios for deployment and placement of clean energy production devices such as solar panels and wind turbines. In this paper,3D modelling of the urban environment is used for efficient placement of solar panels in the urban environment for optimum electricity production. Furthermore, a model for prediction of the speed of the wind using deep neural networks is proposed. The proposed solar panel placement framework is simulated on a part of the city of Tehran, Iran. The proposed wind energy production framework is simulated on 16 wind energy production stations in Iran. The experimental results show that the combined use of the solar and wind energy sources in the smart city environment can help the energy companies to be able to answer the energy demands of the cities while reducing their cost and emission. © 2019 IEEE.
Author Keywords	3D modelling; Computer simulation; Deep learning; Renewable energy; Smart city

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