Exploring adoption scenarios for residential photovoltaic systems in Qatar

  • Nassma Mohandes
  • , Antonio Sanfilippo
  • , Marwa Al Fakhri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

We present an agent-based model for residential adoption of solar photovoltaic (PV) systems within the Al Rayyan municipality in the state of Qatar. Agents in the model are defined as households. Each household corresponds to a villa-type accommodation, which is either owned or rented. The objective of the model is to evaluate PV adoption in terms of these two household cohorts under diverse regulatory and incentive scenarios. Our study suggests that Qatar's residential PV adoption is strongly favored by the falling cost of PV and can be further facilitated through the reduction of electricity subsidies and the extension of the electricity tariff to Qatari households. The introduction of a carbon tax can also play a role in accelerating residential PV adoption, if above 8/tCO2e.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538625088
DOIs
Publication statusPublished - 4 Jun 2018
Event12th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018 - Doha, Qatar
Duration: 10 Apr 201812 Apr 2018

Publication series

NameProceedings - 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018

Conference

Conference12th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018
Country/TerritoryQatar
CityDoha
Period10/04/1812/04/18

Keywords

  • Agent-based modeling
  • Diffusion of innovation
  • Energy economics
  • Energy policy
  • Renewable energy technologies
  • Solar PV adoption

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