Forecasting renewable energy utilization by Iran's water and wastewater industries

Mohammad Vahabi Khah, Rahim Zahedi, Mohammad Sadegh Mousavi and Abolfazl Ahmadi

Utilities Policy, 2023, vol. 82, issue C

Abstract: This paper studies forecasting the use of renewable energies in the water and wastewater industry. Different methods have been proposed to show energy recovery techniques and the use of renewable energy in wastewater treatment. The results indicate that increasing the carbon tax to more than 30 USD per ton of CO2 could reduce emissions from all fossil-fuel power plant types by 30%.

Keywords: Prediction model; Renewable energy; Greenhouse gases; Electricity consumption; Carbon tax (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0957178723000589
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:juipol:v:82:y:2023:i:c:s0957178723000589

DOI: 10.1016/j.jup.2023.101546

Access Statistics for this article

Utilities Policy is currently edited by Beecher, Janice

More articles in Utilities Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().