FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2770630767> ?p ?o ?g. }

• W2770630767 endingPage "867" @default.
• W2770630767 startingPage "852" @default.
• W2770630767 abstract "Abstract Hybrid fossil-solar power cycles possess high solar-to-electric conversion efficiency and the potential to provide stable power output without the need for costly storage systems. However, the power output of the concentrating solar power (CSP) component of the plant can fluctuate in sync with intermittent direct normal irradiance (DNI). For hybrid plants, the controllable fossil-fuel unit can be used to compensate for shortfalls in CSP output during periods of light DNI intermittency or provide the entire plant output during periods of high DNI intermittency. This fossil-fuel unit requires 5–10 min to ramp its power output up or down to perform these balancing functions. Thus, by accurately predicting future DNI, and hence CSP output, the fossil-fuel unit can guarantee stable plant-wide power output during periods of intermittency. This paper develops an intra-hour DNI prediction system using a ground-based cloud motion vector (CMV) framework and real-time DNI measurements. This system comprises a clear-sky DNI model and a cloud fraction prediction algorithm. The presented CSM is based on the Ineichen model (Ineichen, 2008), where the model parameters are adaptively estimated from identified clear-sky DNI measurements over a moving window. For the cloud fraction prediction model, this paper presents an enhanced “sector-ladder” method (Quesada-Ruiz et al., 2014) that uses the weighted mean of circular quantities (Fisher, 1995) and autoregressive filtering to improve cloud flow predictions. Furthermore, a method to forewarn against periods of high DNI intermittency using the generated DNI predictions is presented. The proposed DNI prediction system is evaluated using 37 days of sky-camera images and DNI data collected over the summer of 2014/2015 at the University of Queensland. Over all test days, the adaptive CSM has an average root mean square error of 3.06%, which represents a 19% improvement over a CSM that uses the optimal model parameters from the previous day’s data. Additionally, the modifications to the cloud flow prediction algorithm (the sector-ladder method) are shown to improve the cloud velocity prediction accuracy by a factor of seven over a period of visually determined constant cloud velocity. We find the overall prediction accuracy of the DNI prediction system to be statistically similar to the accepted short-term benchmark of persistence; however, it performs more consistently over a range of weather conditions and is able to forewarn against periods of impending intermittency with 93% accuracy. The latency from data collection to prediction is less than 30 s, making the method eminently suitable for real-time applications." @default.
• W2770630767 created "2017-12-04" @default.
• W2770630767 creator A5028352165 @default.
• W2770630767 creator A5049337522 @default.
• W2770630767 creator A5063511504 @default.
• W2770630767 creator A5074595907 @default.
• W2770630767 date "2018-01-01" @default.
• W2770630767 modified "2023-09-24" @default.
• W2770630767 title "Intra-hour direct normal irradiance forecasting through adaptive clear-sky modelling and cloud tracking" @default.
• W2770630767 cites W1755205674 @default.
• W2770630767 cites W1967499345 @default.
• W2770630767 cites W1968589730 @default.
• W2770630767 cites W2001464819 @default.
• W2770630767 cites W2002235853 @default.
• W2770630767 cites W2043167037 @default.
• W2770630767 cites W2048742617 @default.
• W2770630767 cites W2061877908 @default.
• W2770630767 cites W2083397465 @default.
• W2770630767 cites W2083442569 @default.
• W2770630767 cites W2088384493 @default.
• W2770630767 cites W2092205296 @default.
• W2770630767 cites W2094954890 @default.
• W2770630767 cites W2127950339 @default.
• W2770630767 cites W2138263244 @default.
• W2770630767 cites W2171074980 @default.
• W2770630767 cites W2175218162 @default.
• W2770630767 cites W2278002004 @default.
• W2770630767 doi "https://doi.org/10.1016/j.solener.2017.10.037" @default.
• W2770630767 hasPublicationYear "2018" @default.
• W2770630767 type Work @default.
• W2770630767 sameAs 2770630767 @default.
• W2770630767 citedByCount "32" @default.
• W2770630767 countsByYear W27706307672018 @default.
• W2770630767 countsByYear W27706307672019 @default.
• W2770630767 countsByYear W27706307672020 @default.
• W2770630767 countsByYear W27706307672021 @default.
• W2770630767 countsByYear W27706307672022 @default.
• W2770630767 countsByYear W27706307672023 @default.
• W2770630767 crossrefType "journal-article" @default.
• W2770630767 hasAuthorship W2770630767A5028352165 @default.
• W2770630767 hasAuthorship W2770630767A5049337522 @default.
• W2770630767 hasAuthorship W2770630767A5063511504 @default.
• W2770630767 hasAuthorship W2770630767A5074595907 @default.
• W2770630767 hasConcept C111919701 @default.
• W2770630767 hasConcept C120665830 @default.
• W2770630767 hasConcept C121332964 @default.
• W2770630767 hasConcept C127313418 @default.
• W2770630767 hasConcept C153294291 @default.
• W2770630767 hasConcept C15744967 @default.
• W2770630767 hasConcept C19417346 @default.
• W2770630767 hasConcept C206887242 @default.
• W2770630767 hasConcept C2775936607 @default.
• W2770630767 hasConcept C39432304 @default.
• W2770630767 hasConcept C41008148 @default.
• W2770630767 hasConcept C46423501 @default.
• W2770630767 hasConcept C73329638 @default.
• W2770630767 hasConcept C79974875 @default.
• W2770630767 hasConcept C91586092 @default.
• W2770630767 hasConceptScore W2770630767C111919701 @default.
• W2770630767 hasConceptScore W2770630767C120665830 @default.
• W2770630767 hasConceptScore W2770630767C121332964 @default.
• W2770630767 hasConceptScore W2770630767C127313418 @default.
• W2770630767 hasConceptScore W2770630767C153294291 @default.
• W2770630767 hasConceptScore W2770630767C15744967 @default.
• W2770630767 hasConceptScore W2770630767C19417346 @default.
• W2770630767 hasConceptScore W2770630767C206887242 @default.
• W2770630767 hasConceptScore W2770630767C2775936607 @default.
• W2770630767 hasConceptScore W2770630767C39432304 @default.
• W2770630767 hasConceptScore W2770630767C41008148 @default.
• W2770630767 hasConceptScore W2770630767C46423501 @default.
• W2770630767 hasConceptScore W2770630767C73329638 @default.
• W2770630767 hasConceptScore W2770630767C79974875 @default.
• W2770630767 hasConceptScore W2770630767C91586092 @default.
• W2770630767 hasFunder F4320323119 @default.
• W2770630767 hasLocation W27706307671 @default.
• W2770630767 hasOpenAccess W2770630767 @default.
• W2770630767 hasPrimaryLocation W27706307671 @default.
• W2770630767 hasRelatedWork W1501544859 @default.
• W2770630767 hasRelatedWork W1680866325 @default.
• W2770630767 hasRelatedWork W1919379131 @default.
• W2770630767 hasRelatedWork W1984371731 @default.
• W2770630767 hasRelatedWork W1986080461 @default.
• W2770630767 hasRelatedWork W2017021264 @default.
• W2770630767 hasRelatedWork W2147822475 @default.
• W2770630767 hasRelatedWork W2154548751 @default.
• W2770630767 hasRelatedWork W2167104182 @default.
• W2770630767 hasRelatedWork W2176911206 @default.
• W2770630767 hasVolume "159" @default.
• W2770630767 isParatext "false" @default.
• W2770630767 isRetracted "false" @default.
• W2770630767 magId "2770630767" @default.
• W2770630767 workType "article" @default.