Remote community integrated energy system optimization including building enclosure improvements and quantitative energy trilemma metrics

dc.contributor.authorQuitoras, Marvin R.
dc.contributor.authorCampana, Pietro E.
dc.contributor.authorRowley, Paul
dc.contributor.authorCrawford, Curran
dc.date.accessioned2020-05-14T23:12:16Z
dc.date.copyright2020en_US
dc.date.issued2020
dc.description.abstractDesign strategies for sustainable energy systems in remote communities require holistic approaches, as policy, technological development and complex energy systems operation are inherently intertwined. The present work takes a multi-domain perspective in which various energy solution philosophies co-exist. In particular, a multi-objective energy system model has been developed to determine the optimal configuration of integrated electrical and thermal energy systems for Sachs Harbour, the Northernmost community in the Northwest Territories of Canada. From the four scenarios implemented in the model, the Pareto front curves show that the fuel consumption can vary from 0 to 700,000 L/yr while the cost of energy is in the range of 0.5–2.7 CND $/kWh. Further, a comparative dynamic simulation has been carried out to analyze the impacts of using electric baseboard heaters versus air-source heat pumps. The results indicate that load fluctuations caused by the variations of the heat pumps’ coefficients of performance negatively impact the operation of the energy system. These demand fluctuations result in a larger battery storage requirement, along with an increase in overall energy system costs. Building enclosure improvements alone were found to reduce space heating loads by up to 40%. Finally, nine solutions of interest from the Pareto front were quantified and tested in the energy trilemma index model. From the multiple viable configurations, the proposed solution was estimated to have a weighted average trilemma score of 73.3. Overall, the use of such innovative modeling approaches in real-world applications can support policy makers to make informed decisions in balancing trade-offs from various energy solution viewpoints.en_US
dc.description.embargo2022-05-12
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipFunding for this work was provided by Polar Knowledge Canada and the Marine Environmental Observation, Prediction and Response Network (MEOPAR). Authors would also like to acknowledge support from the Government of Northwest Territories and Northwest Territories Power Corporation by providing actual electrical load and wind data which served as vital inputs for the project. Significant part of this work has been conducted at the Center for Renewable Energy Systems Technology (CREST) at Loughbrough University, UK as funded by MITACS and MEOPAR.en_US
dc.identifier.citationQuitoras, M. R., Campana, P. E., Rowley, P., & Crawford, C. (2020). Remote community integrated energy system optimization including building enclosure improvements and quantitative energy trilemma metrics. Applied Energy, 267, 1- 20. https://doi.org/10.1016/j.apenergy.2020.115017en_US
dc.identifier.urihttps://doi.org/10.1016/j.apenergy.2020.115017
dc.identifier.urihttp://hdl.handle.net/1828/11750
dc.language.isoenen_US
dc.publisherApplied Energyen_US
dc.subjectAir-source heat pumpen_US
dc.subjectEnergy system optimizationen_US
dc.subjectIntegrated energy systemen_US
dc.subjectEnergy trilemmaen_US
dc.subjectFuel povertyen_US
dc.subjectBuilding enclosureen_US
dc.titleRemote community integrated energy system optimization including building enclosure improvements and quantitative energy trilemma metricsen_US
dc.typePostprinten_US

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