2023
DOI: 10.1016/j.prime.2023.100146
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An energy balance and multicriterial approach for the sizing of a hybrid renewable energy system with hydrogen storage

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Cited by 12 publications
(3 citation statements)
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“…Efficient utilization of various types of energy storage resources to address energy imbalances is vital [13,14]. This involves swiftly adjusting and activating energy storage systems during fluctuations in renewable energy output to ensure a stable electricity supply, thereby facilitating energy transition and promoting the development of renewable energy [15,16]. Therefore, it is imperative to strategically plan energy storage resources, leveraging the unique characteristics of different types of storage to tackle the imbalance issues in power systems [17,18].…”
Section: Introductionmentioning
confidence: 99%
“…Efficient utilization of various types of energy storage resources to address energy imbalances is vital [13,14]. This involves swiftly adjusting and activating energy storage systems during fluctuations in renewable energy output to ensure a stable electricity supply, thereby facilitating energy transition and promoting the development of renewable energy [15,16]. Therefore, it is imperative to strategically plan energy storage resources, leveraging the unique characteristics of different types of storage to tackle the imbalance issues in power systems [17,18].…”
Section: Introductionmentioning
confidence: 99%
“…Although the knowledge of SCs dates to the nineteenth century, recent reports have acknowledged research improvements in MXene-polymer composites, graphite-based composites, etc., for high performance supercapacitors and their wide range of applications across various energy-related industries, including renewable energy systems, electric vehicles, and others [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ]. Despite the considerable improvement in the performance of SCs, there is still room for improvement [ 21 , 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…Optimization-based methods, including linear programming (LP), mixed-integer linear programming (MILP), and multi-objective optimization, employ mathematical algorithms to optimize the sizing of hybrid off-grid systems by minimizing cost, maximizing efficiency, or addressing multiple objectives simultaneously (Ben Seddik et al, 2022). These methods are effective in finding the global optimum but often require extensive computation and may be limited by the complexity of the mathematical models (Adedoja et al, 2023).…”
Section: Introductionmentioning
confidence: 99%