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Building related PV systems in GCC countries: A SWOT analysis

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

8 Scopus citations

Abstract

The Gulf Cooperation Council (GCC) countries have over 50% and 30% of global oil and gas reserves respectively and have therefore traditionally relied on fossil fuels to meet all their energy requirements. In recent years however there has been a realization to diversify their energy mix and tap on their rich solar energy potential. While buildings account for as much as 80% of the total national power generation in these countries, the emphasis thus far has been on large scale solar energy projects. The article examines the prospects of application of PV in building by undertaking a strength, weakness, opportunities and threat (SWOT) analysis. In this respect wide ranging technical, cultural, economic and policy related factors have been highlighted. A modeling exercise has also been undertaken to examine the rooftop applicability of PV in residential buildings. Underlying examples from developed countries, the paper concludes with policy recommendations to promote the application of solar.

Original languageEnglish
Title of host publication2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages234-237
Number of pages4
ISBN (Electronic)9781538617755
DOIs
StatePublished - 27 Sep 2017

Publication series

Name2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • PV
  • buildings
  • renewable energy
  • solar energy
  • sustainability

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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