2020
DOI: 10.1016/j.apenergy.2019.114079
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Transitioning remote Arctic settlements to renewable energy systems – A modelling study of Longyearbyen, Svalbard

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Cited by 27 publications
(18 citation statements)
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“…In previous Arctic energy system studies, Ringkjob et al [16] presented a stochastic longterm (2015 -2050) energy model for a remote Arctic settlement in Longyearbyen, Svalbard. The TIMES modeling framework was employed.…”
Section: Modeling Uncertainties and Scenarios In Other Countriesmentioning
confidence: 99%
“…In previous Arctic energy system studies, Ringkjob et al [16] presented a stochastic longterm (2015 -2050) energy model for a remote Arctic settlement in Longyearbyen, Svalbard. The TIMES modeling framework was employed.…”
Section: Modeling Uncertainties and Scenarios In Other Countriesmentioning
confidence: 99%
“…In earlier times, coal mining was a significant economic sector in Longyearbyen. Today, the community has only one active mine, primarily for local use [50]. Longyearbyen's population has a high turnover, with many people living there for periods of only a few to several months or a couple of years [51].…”
Section: Case Studymentioning
confidence: 99%
“…The obtained results indicate that the interconnection among different isolated systems increases the usage of clean energies. Reference [18] has proposed a stochastic planning model devoted to the determination of the renewable transition in isolated Artic power systems. This work concludes that an adequate representation of the variability of renewable sources is key to obtain a robust power system configuration.…”
Section: Introductionmentioning
confidence: 99%