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Food, energy, and water (FEW) security require adequate quantities and forms of each resource, conditions that are threatened by climate change and other factors. Assessing FEW security is important, and needs to be understood in the context of multiple factors. Existing frameworks make it hard to disentangle the contributors to FEW insecurity and to determine where best to expend efforts on short- and long-term solutions. We identified four consistent components of FEW security (availability, access, preference, quality). This framework provides detailed and nuanced insights into factors that limit or bolster security in each of the three sectors. The integrated framework identifies proximate and ultimate underlying causes of deficiencies in each security component providing opportunities to identify short- and long-term solutions. 

Many Alaska communities rely on heating oil for heat and diesel fuel for electricity. For remote communities, fuel must be barged or flown in, leading to high costs. While renewable energy resources may be available, the variability of wind and solar energy limits the amount that can be used coincidentally without adequate storage. This study developed a decision-making method to evaluate beneficial matches between excess renewable generation and non-electric dispatchable loads, specifically heat loads such as space heating, water heating and treatment, and clothes drying in three partner communities. Hybrid Optimization Model for Multiple Electric Renewables (HOMER) Pro was used to model potential excess renewable generation based on current generation infrastructure, renewable resource data, and community load. The method then used these excess generation profiles to quantify how closely they align with modeled or actual heat loads, which have inherent thermal storage capacity. Of 236 possible combinations of solar and wind capacity investigated in the three communities, the best matches were seen between excess electricity from high-penetration wind generation and heat loads for clothes drying and space heating. The worst matches from this study were from low penetrations of solar (25% of peak load) with all heat loads.