2021
DOI: 10.2172/1843208
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Design and Operation of Energy Systems with Large Amounts of Variable Generation: IEA Wind TCP Task 25 (Final Summary Report)

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Cited by 5 publications
(5 citation statements)
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References 87 publications
(106 reference statements)
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“…The first two bullets are consistent with many previous studies [2], [8], [10], [11], [15], [19], [25].…”
Section: Resultssupporting
confidence: 92%
See 1 more Smart Citation
“…The first two bullets are consistent with many previous studies [2], [8], [10], [11], [15], [19], [25].…”
Section: Resultssupporting
confidence: 92%
“…This analysis is in agreement with previous studies that show summer days on average have substantial solar resources available during their daily peak load hours, as seen in Fig. 6 [2], [11], [15], [19], [25]. This analysis is unique because it demonstrates that this correlation between peak load and solar availability reduces the inter-annual variability of peak residual load values as more solar generation is deployed.…”
Section: A Decreasing Inter-annual Variability and Solarsupporting
confidence: 92%
“…Globally, a great deal of technological progress has been made in lowering the levelized cost of electricity generated from solar and wind [19,20] . The technical solution are evolving for the development of a super battery that can store wind electricity generated when it's not needed and act as an energy bank for dispatching when needed, also, smoothing its output as a solution to the reliability setback of wind power [21,22]. Therefore, the SMART acronym of sustainability, reliability and affordability in the energy field could be resolved within the short-and long-term niche of technology advancement.…”
Section: Technology Developmentsmentioning
confidence: 99%
“…across TSOs in several neighboring countries [27]. In fact, while the aggregated variability of wind and solar is in general less than that of each resource alone, it is extreme weather conditions, such as storms, that often lead to the largest forecast errors [28]. A recent study concludes that, over the last decade, increasingly accurate weather forecasts have saved consumers over $150 million in annual energy savings [29].…”
Section: Sources Of Forecast Errormentioning
confidence: 99%