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Factors influencing success of wind-diesel hybrid systems in remote Alaska communities: Results of an informal survey

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  • Fay, Ginny
  • Udovyk, Nataliya

Abstract

In 2008, the Alaska State Legislature created and funded the Renewable Energy Fund (REF) grant program. As a result of this significant increase in available funding, the number of wind-diesel hybrid power systems is growing dramatically in rural Alaska. Development, integration, and operation of complex wind technologies in remote, rural communities are challenging. With multiple communities in Alaska installing and operating these systems, it is important to understand the factors that influence successful completion, operation and long-term maintenance of projects. As of December 2013, over $340 million has been spent constructing wind projects in 30 communities. The majority of these systems was built since 2008 and utilized over $50 million in appropriations from the REF by the Alaska legislature. This report summarizes the findings of an informal survey conducted on the most important characteristics of a successful wind-diesel hybrid power project in small remote rural communities. The survey was done to help guide socioeconomic research in Alaska on community capacity to ensure sustainable projects.

Suggested Citation

  • Fay, Ginny & Udovyk, Nataliya, 2013. "Factors influencing success of wind-diesel hybrid systems in remote Alaska communities: Results of an informal survey," Renewable Energy, Elsevier, vol. 57(C), pages 554-557.
  • Handle: RePEc:eee:renene:v:57:y:2013:i:c:p:554-557
    DOI: 10.1016/j.renene.2013.02.021
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    Cited by:

    1. Konstantinos Karanasios & Paul Parker, 2018. "Explaining the Diffusion of Renewable Electricity Technologies in Canadian Remote Indigenous Communities through the Technological Innovation System Approach," Sustainability, MDPI, vol. 10(11), pages 1-28, October.
    2. Javanshir Fouladvand & Niek Mouter & Amineh Ghorbani & Paulien Herder, 2020. "Formation and Continuation of Thermal Energy Community Systems: An Explorative Agent-Based Model for the Netherlands," Energies, MDPI, vol. 13(11), pages 1-22, June.

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