Cost-Optimal Pathways to 75% Fuel Reduction in Remote Alaskan Villages

Travis Simpkins, Dylan Cutler, Brian Hirsch, Daniel Olis, Katherine Anderson

Research output: Contribution to conferencePaper

6 Scopus Citations


There are thousands of isolated, diesel-powered microgrids that deliver energy to remote communities around the world at very high energy costs. The Remote Communities Renewable Energy program aims to help these communities reduce their fuel consumption and lower their energy costs through the use of high penetration renewable energy. As part of this program, the REopt modeling platform for energy system integration and optimization was used to analyze cost-optimal pathways toward achieving a combined 75% reduction in diesel fuel and fuel oil consumption in a select Alaskan village. In addition to the existing diesel generator and fuel oil heating technologies, the model was able to select from among wind, battery storage, and dispatchable electric heaters to meet the electrical and thermal loads. The model results indicate that while 75% fuel reduction appears to be technically feasible it may not be economically viable at this time. When the fuel reduction target was relaxed, the results indicate that by installing high-penetration renewable energy, the community could lower their energy costs by 21% while still reducing their fuel consumption by 54%.
Original languageAmerican English
Number of pages6
StatePublished - 2015
Event2015 IEEE Conference on Technologies for Sustainability (SusTech) - Ogden, Utah
Duration: 30 Jul 20151 Aug 2015


Conference2015 IEEE Conference on Technologies for Sustainability (SusTech)
CityOgden, Utah

Bibliographical note

See NREL/CP-7A40-64491 for preprint

NREL Publication Number

  • NREL/CP-7A40-66345


  • diesel renewable hybrid power systems
  • microgrid
  • remote community
  • renewable energy
  • REopt


Dive into the research topics of 'Cost-Optimal Pathways to 75% Fuel Reduction in Remote Alaskan Villages'. Together they form a unique fingerprint.

Cite this