2022
DOI: 10.1016/j.esr.2022.100935
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Energy efficiency and conservation values in a variable renewable electricity system

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Cited by 12 publications
(5 citation statements)
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“…OSeMOSYS is widely recognized as an accessible, straightforward, and quick-learning tool with many capacitybuilding resources and communities of practice [112]. Different studies have implemented OSeMOSYS to evaluate the sustainable expansion of national power systems [113][114][115][116][117][118][119][120][121][122][123][124] or the combination of power and transport sectors [119]. In addition, a recent work explored energy planning in the power sector to integrate electrolytic hydrogen dedicated to exports in Chile [125].…”
Section: Energy System Modelling Frameworkmentioning
confidence: 99%
“…OSeMOSYS is widely recognized as an accessible, straightforward, and quick-learning tool with many capacitybuilding resources and communities of practice [112]. Different studies have implemented OSeMOSYS to evaluate the sustainable expansion of national power systems [113][114][115][116][117][118][119][120][121][122][123][124] or the combination of power and transport sectors [119]. In addition, a recent work explored energy planning in the power sector to integrate electrolytic hydrogen dedicated to exports in Chile [125].…”
Section: Energy System Modelling Frameworkmentioning
confidence: 99%
“…In [19,20], a performance indicator for evaluating the efficiency of power plants was proposed, which is based on the properties of productivity indicators obtained from the analysis of feasibility and thermodynamic efficiency. The efficiency indicator for the operation of a power plant within an energy system was developed using the properties of constraints and the possibility of combining different types of energy, taking into account their distinct impacts, borrowed from thermodynamics analysis.…”
Section: Literature Reviewmentioning
confidence: 99%
“…OSeMOSYS is designed to be fully accessible, straightforward, and transparent for supporting long-term energy modelling in academia, industry, and governments [13,[33][34][35]. The framework has widely been used to support local [36][37][38], national [9,[39][40][41][42][43][44][45][46][47][48][49], and regional [50][51][52] energy system assessments.…”
Section: The Osemosys-col Modelmentioning
confidence: 99%