New Energy Exploitation and Application

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Forecast of Using Renewable Energies in the Water and Wastewater Industry of Iran

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https://doi.org/10.54963/neea.v1i2.47
zahedi, rahim, Mousavi, M. S., Ahmadi, A., & Entezari, A. (2022). Forecast of Using Renewable Energies in the Water and Wastewater Industry of Iran. New Energy Exploitation and Application, 1(2), 1–9. https://doi.org/10.54963/neea.v1i2.47
Volume 1 Issue 2: June 2022
Copyright (c) 2022 rahim zahedi, Mohammad Sadegh Mousavi, Abolfazl Ahmadi, Ashkan Entezari
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Authors

  • rahim zahedi Department of New Energies and Environment, University of Tehran, Tehran, Iran
  • Mohammad Sadegh Mousavi Department of Energy Systems Engineering, Islamic Azad University, Tehran, Iran
  • Abolfazl Ahmadi
    Department of Energy Systems Engineering, Iran University of Science and Technology, Tehran, Iran
  • Ashkan Entezari Department of New Energies and Environment, University of Tehran, Tehran, Iran
Since water and wastewater are considered as one of the most prominent energy consumers in the field of urban industries, the main objective of this study is to provide a new assessment approach in applying renewable energy in the water and wastewater industry. In this paper, an essential review of current energy storage options for different cases processes using different renewable energy and heat sources with a focus on heat storage systems and battery energy storage is given. High energy requirements currently priced by fossil fuels are expensive. The use of alternative energy sources is essential for the growing demand for water desalination. Different methods have been proposed to show the energy recovery techniques and use of renewable energy in the treatment of wastewater containing wastewater. The results indicated that increase in water supply and electricity consumption was evidenced by the increase in Tehran’s annual population. In addition to the higher emissions of carbon dioxide (CO2) from diesel and oil power plants than the natural gas-fueled plants, by increasing the carbon tax to more than 30 USD per ton of CO2, it is expected that the emissions will be reduced by 30 % in all fossil-fueled power plant types.

Keywords:

Prediction model Renewable energy Greenhouse gases Electricity consumption Carbon tax

Author Biographies

ORCID: 
https://orcid.org/
0000-0001-6837-8729
ORCID: 
https://orcid.org/
0000-0003-2652-6011

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