2017
DOI: 10.1016/j.energy.2017.05.159
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Project-level multi-modal energy system design - Novel approach for considering detailed component models and example case study for airports

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Cited by 23 publications
(6 citation statements)
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“…This structure can be expanded to encompass all energy pathways, including water as a hydrogen fuel feed-stock. The resulting structure merges an energy hub model with a hydrogen (and electricity) supply chain model and also provides the basis for a superstructure framework [80,100,101].…”
Section: Research Directions For the Port Energy System Taxonomymentioning
confidence: 99%
“…This structure can be expanded to encompass all energy pathways, including water as a hydrogen fuel feed-stock. The resulting structure merges an energy hub model with a hydrogen (and electricity) supply chain model and also provides the basis for a superstructure framework [80,100,101].…”
Section: Research Directions For the Port Energy System Taxonomymentioning
confidence: 99%
“…The influence of boundary conditions on the synthesis of hybrid and renewable polygeneration systems for buildings has been extensively evaluated in the literature. Most studies consider the effect of energy demands [27,28], economic costs [27][28][29], different types of buildings [19,30], and/or different climate zones [19,25,31]. An interesting study by Noussan and Jarre [32] used real energy price values, primary energy factors, and emission factors of electricity generation in different European Union countries.…”
Section: Energy Systems Optimization To Support Decision-makingmentioning
confidence: 99%
“…Considering these PLR efficiency curve in hub optimization creates non-linearities in the model, and thus makes the problem more challenging. However, the inclusion of PLR-based efficiencies could remarkably change the design of energy hubs compared to cases in which the impact of PLR on efficiency is ignored [10]. In order to solve such problems, two main types of formulations have been found in literature: NLP (i.e.…”
Section: Introductionmentioning
confidence: 99%