Measuring re-readiness for the diffusion of renewable energy technologies in the mena region

  • Diala Hawila

Student thesis: Master's Thesis


Renewable Energy Technologies (RETs) are this century's breakthrough leading to a cleaner future with reduced burning of fossil fuels and GHG emissions. RETs not only ensure energy security if implemented successfully but also contribute to the sustainable development of adopting countries, in addition to reduced dependency on oil imports. In order to adopt RETs, countries must be 'ready' especially since not all RETS are currently at par with fossil fuel technologies. Apart from the competitive prices of conventional energy, adopting newly established technologies, such as RETs, on the national level is a lengthy process that requires building up the required capacity ahead of time. In addition, countries need to have a national energy strategy and the appropriate policies and mechanisms to implement it. The objectives of this thesis are: 1) defining Renewable Energy-Readiness (RE-Readiness) and its factors and indices, 2) developing a generic framework model to measure RE-Readiness of countries, and 3) building a system dynamics causal loop diagram that could be used to test the several policy options and their impact on RE-Readiness and the diffusion of RETs. The major three pillars that were identified for the evaluation of the RE-Readiness of countries are Infrastructure, Institutions, and Human Capital. A Multi-Criteria Decision Making model was developed to calculate the RE-Readiness values for the GCC and North African countries. Results show that most GCC countries are not fully ready to start implementing RE projects and they still need to develop their institutions and human capital. Many North African countries have already implemented RE projects because they have developed RE policies and mechanisms but the lack of financial resources is still hindering further development of RE projects in some countries. The causal loop diagram was built as an introduction for a future system dynamics model and gave the critical linkage between all the pillars and their sub-factors in order to test the most effective RE policies to successfully diffuse RETs.
Date of Award2012
Original languageAmerican English
SupervisorToufic Mezher (Supervisor)


  • ewable energy resources
  • Diffusion.

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